<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article">
 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">
    etsn
   </journal-id>
   <journal-title-group>
    <journal-title>
     E-Health Telecommunication Systems and Networks
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2167-9517
   </issn>
   <issn publication-format="print">
    2167-9525
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/etsn.2025.144008
   </article-id>
   <article-id pub-id-type="publisher-id">
    etsn-147124
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Computer Science 
     </subject>
     <subject>
       Communications
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    When Weather Disrupts the Vaccine Cold-Chain: Shipping Delays and Storage Risks in Illinois
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Joshua
      </surname>
      <given-names>
       Egbedimame
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Jean-Marie
      </surname>
      <given-names>
       Ebonyi
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Frank
      </surname>
      <given-names>
       Opia
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Mary Onyeka-Ukpoju
      </surname>
      <given-names>
       Ebonyi
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Joy
      </surname>
      <given-names>
       Tettevi
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff3"> 
      <sup>3</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aDivision of Infectious Diseases, Illinois Department of Public Health, Springfield, USA
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aSchool of Integrated Sciences, Sustainability, and Public Health, University of Illinois Springfield, Springfield, USA
    </addr-line> 
   </aff> 
   <aff id="aff3">
    <addr-line>
     aOncology Department, Springfield Memorial Hospital, Illinois, USA
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     24
    </day> 
    <month>
     10
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    14
   </volume> 
   <issue>
    04
   </issue>
   <fpage>
    87
   </fpage>
   <lpage>
    112
   </lpage>
   <history>
    <date date-type="received">
     <day>
      28,
     </day>
     <month>
      September
     </month>
     <year>
      2025
     </year>
    </date>
    <date date-type="published">
     <day>
      8,
     </day>
     <month>
      September
     </month>
     <year>
      2025
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      8,
     </day>
     <month>
      November
     </month>
     <year>
      2025
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © Copyright 2014 by authors and Scientific Research Publishing Inc. 
    </copyright-statement>
    <copyright-year>
     2014
    </copyright-year>
    <license>
     <license-p>
      This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/
     </license-p>
    </license>
   </permissions>
   <abstract>
    <b>Background:</b> Severe weather, including heatwaves, winter storms, floods, and associated power outages, poses persistent risks to the vaccine cold chain across the United States, including Illinois by causing storage-unit failures and shipping delays that can lead to temperature excursions - instances when vaccines are exposed to conditions outside the recommended temperature range, compromise vaccine potency, with public-health and economic consequences. 
    <b>Methods:</b> We conducted a scoping review (Arksey&amp;O’Malley; PRISMA-ScR) of publicly accessible evidence (2000-2025) on weather-related disruptions to vaccine storage and shipping, with emphasis on Illinois. Sources included peer-reviewed studies, CDC/IDPH guidance, national datasets (e.g., EAGLE-I, OpenFEMA), and grey literature on monitoring technologies. 
    <b>Results:</b> Laboratory studies show pharmaceutical-grade refrigerators can cross 8˚C within ~45 - 140 minutes after power loss. Public datasets report exposure (outages, storm events), and Illinois experienced weather-related shipping delays during Winter Storm Uri; Illinois drew on strategic stock to buffer operations. However, Illinois-specific, publicly accessible, cause-coded statewide aggregated data linking weather/power exposure to dose-level outcomes (e.g., excursion counts, doses affected) were not identified. Standard incident protocols are clear, but statewide performance descriptions (coverage, timeliness, equity, especially in high-outage or rural areas) were not found in public sources. Emerging tools (AI-enabled monitoring, cloud connectivity, predictive alerts) are described, yet we did not identify peer-reviewed evaluations or publicly accessible Illinois program documentation showing provider deployment of pre-threshold, predictive alerts or weather-linked excursion prediction. 
    <b>Conclusions&amp;Public Health Implications: </b>Given short warming intervals and outages that often last hours, planning in Illinois may be better calibrated to plausible local outage windows, emphasizing continuous digital monitoring, connectivity-resilient reporting, and rapid procedures for moving vaccines to approved backup storage or redistribution. Contextual evaluation of AI-enabled, cloud-connected, predictive tools in Illinois settings, alongside publicly accessible, cause-coded statewide aggregates of excursions and doses affected, would clarify added value, support cross-jurisdiction learning and strengthen preparedness as climate risks evolve.
   </abstract>
   <kwd-group> 
    <kwd>
     Vaccine Cold Chain
    </kwd> 
    <kwd>
      Temperature Excursion
    </kwd> 
    <kwd>
      Power Outage
    </kwd> 
    <kwd>
      Climate Risk
    </kwd> 
    <kwd>
      Illinois
    </kwd> 
    <kwd>
      Predictive Monitoring
    </kwd> 
    <kwd>
      VFC
    </kwd> 
    <kwd>
      Shipping Delays
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>For decades, immunization has served as one of the most effective public health strategies to reduce morbidity and mortality from infectious diseases. According to Carter et al. <xref ref-type="bibr" rid="scirp.147124-1">
     [1]
    </xref>, vaccination is expected to prevent about 4.4 million deaths annually between 2021 and 2030 by protecting against 14 vaccine-preventable diseases across 194 countries. Similarly, Shattock et al. <xref ref-type="bibr" rid="scirp.147124-2">
     [2]
    </xref> in their historical analyses showed that since the launch of the Expanded Program on Immunization in 1974, global vaccination efforts have saved approximately 154 million lives, 146 million of them among children under age five, including over 100 million infants. These big wins represent more than 10 billion years of healthy life added, with each prevented death contributing, on average, 66 years of full health. As of 2024, children under 10 are 40% more likely to survive to their next birthday compared to a world without historical vaccination efforts, with benefits extending well into adulthood <xref ref-type="bibr" rid="scirp.147124-2">
     [2]
    </xref>.</p>
   <p>In the United States, vaccines have made a remarkable difference in the health of families and communities at large. This became even more evident following a measles resurgence in the early 1990s, which led to the creation of the Vaccines for Children (VFC) program in 1994 to ensure that eligible children could receive free vaccines, regardless of their families’ ability to pay <xref ref-type="bibr" rid="scirp.147124-3">
     [3]
    </xref>. Since then, routine childhood immunizations have prevented an estimated 508 million illnesses, 32 million hospitalizations, and over 1.1 million deaths among children born between 1994 and 2023 <xref ref-type="bibr" rid="scirp.147124-4">
     [4]
    </xref>. Economically, this translated into USD 780 billion in direct medical savings and USD 2.9 trillion in societal cost savings. Even after factoring in the costs of vaccination programs, the net savings stood at USD 540 billion (payer perspective) and USD 2.7 trillion (societal perspective), with benefit-cost ratios of 3.3 and 10.9, respectively <xref ref-type="bibr" rid="scirp.147124-4">
     [4]
    </xref>. This presents clear, strong evidence that immunization not only saves lives but also delivers a high return on investment.</p>
   <p>Prior to the introduction of the measles vaccine in 1963, Illinois experienced substantial morbidity and mortality consistent with national trends. In the United States at that time, measles annually resulted in approximately 500 deaths, 48,000 hospitalizations, and 1000 cases of brain swelling. However, following widespread vaccine implementation, measles incidence sharply declined, and for decades the disease was effectively eliminated as a major public health threat in Illinois, though isolated outbreaks have emerged in recent years <xref ref-type="bibr" rid="scirp.147124-5">
     [5]
    </xref>-<xref ref-type="bibr" rid="scirp.147124-7">
     [7]
    </xref>. Building upon decades of immunization successes, and in recognition of the continued need for high coverage, Illinois has maintained strong immunization programs, most notably through active participation in the federal VFC program. This initiative provides, at no cost, the ACIP-recommended vaccines to Medicaid-eligible, uninsured, and underinsured children under 19 years of age across Illinois. As evidence of its impact, more than 70% of Illinois schools report measles, mumps, rubella (MMR) vaccination coverage above 95%, and statewide rates remain consistently above the threshold needed for herd immunity <xref ref-type="bibr" rid="scirp.147124-8">
     [8]
    </xref>.</p>
   <p>These achievements, however, rely not only on scientific advances in vaccine development to keep vaccines potent and effective, but also on the day-to-day efforts of the people and systems responsible for storing, transporting, and administering vaccines, i.e., maintaining the vaccine cold chain up to the point of administration, systems that communities around the world count on to stay safe. Yet these systems remain vulnerable, especially in the face of severe weather events, which may cause storage-unit failures leading to temperature excursions - instances when vaccines are exposed to conditions outside the recommended temperature range <xref ref-type="bibr" rid="scirp.147124-9">
     [9]
    </xref>, as well as shipping delays, all of which can compromise vaccine viability, pose serious risks to public health, and lead to significant vaccine wastage and financial losses. It is important to note that these losses are felt at multiple levels. For instance, publicly funded immunization programs may absorb the cost of replacing federally purchased vaccines; private healthcare providers may incur unrecoverable losses when weather events compromise their private vaccine stock; and manufacturers and distributors can experience operational and financial strain from disrupted delivery chains. Ultimately, the burden extends to the government, which must allocate budgetary funding and manage broader public health consequences.</p>
   <p>Illinois, situated in the U.S. Midwest region, has experienced significant changes in weather patterns over the past century. For instance, the state’s average temperature has increased by approximately 1 - 2˚F since the early 1900s, accompanied by greater variability in winter storm patterns <xref ref-type="bibr" rid="scirp.147124-10">
     [10]
    </xref>. Similarly, Hayhoe et al. <xref ref-type="bibr" rid="scirp.147124-11">
     [11]
    </xref> noted that the Midwest, Illinois inclusive, is warming at about 0.4˚F per decade and is experiencing a doubling in the frequency of heavy rainfall events, alongside increasingly intense heatwaves and altered snow and ice patterns. Moreover, the U.S. Environmental Protection Agency <xref ref-type="bibr" rid="scirp.147124-12">
     [12]
    </xref> reports a 10 - 20% increase in overall annual precipitation in Illinois, a 35% rise in heavy-precipitation events, more frequent flooding, and prolonged periods of extreme summer heat. These significant changes in weather patterns and accompanying weather-related events ultimately heighten the risk of disrupting vaccine storage and transport systems.</p>
   <p>While Illinois’ immunization successes are often discussed through the lens of the federally funded VFC program, a substantial share of routine vaccination doses are also privately purchased and stored by providers in Illinois. Although Food and Drug Administration (FDA) regulations define vaccine storage and stability requirements through product labeling, CDC guidance provides the operational framework for vaccine storage, handling, and incident management, particularly within federally funded programs <xref ref-type="bibr" rid="scirp.147124-9">
     [9]
    </xref>. Under this CDC framework, vaccine incident reporting and replacement procedures are most clearly detailed for publicly purchased vaccines (e.g., VFC/317) within CDC and Illinois VFC guidance <xref ref-type="bibr" rid="scirp.147124-9">
     [9]
    </xref> <xref ref-type="bibr" rid="scirp.147124-13">
     [13]
    </xref>. In contrast, for privately purchased vaccines, incident reporting typically follows the manufacturer’s directions, which reflect FDA-approved stability information, and/or payer or facility policy. Publicly available sources reviewed for this paper do not indicate that vaccine incidents involving privately purchased vaccines by providers in Illinois are routinely reported through the Illinois VFC program, although reporting practices may vary by jurisdiction <xref ref-type="bibr" rid="scirp.147124-9">
     [9]
    </xref> <xref ref-type="bibr" rid="scirp.147124-13">
     [13]
    </xref>. Across all public sources reviewed for this paper, we did not identify Illinois-level, cause-coded, statewide aggregates that include both publicly funded and privately purchased doses affected by weather-related temperature excursions or shipping delays, leaving the public scale of impact across the state’s entire vaccine supply system unclear.</p>
   <p>This scoping review aims to explore how severe weather events disrupt the vaccine cold chain in the U.S., with a focus on Illinois, and to integrate publicly available evidence on their impact on vaccine storage, shipping, and program sustainability. Given the increasing frequency of weather-related disruptions, strengthening vaccine cold-chain resilience is also integral to broader public health emergency preparedness and response (PHEPR) efforts, as maintaining vaccine viability and continuity of immunization services during disruptions directly supports emergency readiness and health system resilience <xref ref-type="bibr" rid="scirp.147124-9">
     [9]
    </xref> <xref ref-type="bibr" rid="scirp.147124-13">
     [13]
    </xref> <xref ref-type="bibr" rid="scirp.147124-14">
     [14]
    </xref>.</p>
  </sec><sec id="s2">
   <title>2. Literature Review</title>
   <p>The preservation of vaccine integrity in the United States does not end at scientific development or clinical approval, but equally on a well-coordinated system that ensures vaccines developed for human use are consistently stored and transported under controlled temperature conditions known as the vaccine cold chain. This system is essential to preserving vaccine potency and safety from the moment of manufacturing until administration at the provider level <xref ref-type="bibr" rid="scirp.147124-9">
     [9]
    </xref> <xref ref-type="bibr" rid="scirp.147124-15">
     [15]
    </xref>. In essence, the cold chain is a system of temperature-controlled environments that preserves vaccine efficacy from manufacture through administration <xref ref-type="bibr" rid="scirp.147124-9">
     [9]
    </xref> <xref ref-type="bibr" rid="scirp.147124-16">
     [16]
    </xref> <xref ref-type="bibr" rid="scirp.147124-17">
     [17]
    </xref>. Thus, a disruption in the vaccine cold chain, even for a transient period, can lead to unsuitable conditions that irreversibly reduce vaccine potency, diminish immune responses, and increase the need for revaccination <xref ref-type="bibr" rid="scirp.147124-9">
     [9]
    </xref>. When such failure occurs, especially in cases where no manufacturer stability data support continued usage of vaccines, it can compromise public health, waste resources, and impose significant economic costs, including the price of discarded vaccines <xref ref-type="bibr" rid="scirp.147124-18">
     [18]
    </xref>, increased healthcare provider workload due to logistical challenges, resupply needs, documentation and reporting, inventory reconciliation, and efforts to investigate and correct storage and handling errors. These burdens also affect patient flow and access, leading to increased demands on human resources <xref ref-type="bibr" rid="scirp.147124-9">
     [9]
    </xref> <xref ref-type="bibr" rid="scirp.147124-19">
     [19]
    </xref>, and may contribute to erosion of public trust in immunization programs, particularly in an era marked by vaccine hesitancy. Beyond direct losses, cold-chain breaches create broader societal and economic burdens, such as the treatment of preventable diseases and reduced vaccination uptake <xref ref-type="bibr" rid="scirp.147124-20">
     [20]
    </xref>.</p>
   <p>These risks often manifest as temperature excursions (TEs), which are instances where vaccines are exposed to conditions outside the recommended temperature range <xref ref-type="bibr" rid="scirp.147124-9">
     [9]
    </xref>. Whether these deviations involve excessive heat or freezing temperatures, they signal a breach in cold-chain integrity <xref ref-type="bibr" rid="scirp.147124-9">
     [9]
    </xref>. While TEs may occur from various causes, this review focuses specifically on weather-related disruptions, especially their role in contributing to storage-unit failures and shipping delays within the context of Illinois. Given the well-established shifts in Illinois’ climate, including more frequent extreme heat events, heavier precipitation, and seasonal storms, these evolving weather patterns are especially relevant to understanding vaccine cold-chain vulnerabilities. Rather than hypothetical, these concerns are grounded in observable patterns across the Midwest, where temperature variability and the intensity of weather events have increased significantly over recent decades <xref ref-type="bibr" rid="scirp.147124-11">
     [11]
    </xref> <xref ref-type="bibr" rid="scirp.147124-12">
     [12]
    </xref>. These increasingly unpredictable events are especially concerning for cold-chain systems that rely on stable power and timely distribution. Beyond definitions, U.S. clinic data underscore how often storage units drift out of range in practice: in a county outpatient system study of 54 refrigerator compartments, 26 (48%) stayed within the WHO-recommended 2 - 8˚C range, 13 (24%) recorded at least one freezing episode, 10 (19%) ran just above freezing at 0.1 - 1.9˚C without freezing, and 5 exceeded 8˚C during the observation period, as captured by graphic-output data loggers <xref ref-type="bibr" rid="scirp.147124-21">
     [21]
    </xref>. To contextualize exposure to severe events in Illinois, this review references National Oceanic and Atmospheric Administration’s (NOAA’s) Storm Events Database (1950-present, county-level records), which is used later to summarize event frequency <xref ref-type="bibr" rid="scirp.147124-22">
     [22]
    </xref>.</p>
   <p>Power outages, especially those linked to heatwaves or severe storms, pose a serious risk to vaccine storage. Although pharmaceutical-grade refrigerators are preferred for their superior temperature stability under normal conditions, their performance during electrical outages is notably poor. A National Institute of Standards and Technology (NIST) report found that pharmaceutical units, especially those with glass doors, reached the critical 8˚C threshold in just 45 to 140 minutes following a power loss, with vaccines likely rendered unusable within one to two hours <xref ref-type="bibr" rid="scirp.147124-23">
     [23]
    </xref>. These short time-to-warm intervals are exactly why CDC emphasizes continuous digital monitoring. Consistent with that guidance, NIST’s multi-model evaluations of digital data loggers showed devices maintained accuracy across 0 - 10˚C and remained stable over many months of operation, and the studies detail practical probe-in-glycol setups and ice-point checks that reflect liquid vaccine temperatures in routine clinics <xref ref-type="bibr" rid="scirp.147124-24">
     [24]
    </xref>.</p>
   <p>This window is especially concerning when compared to average power outages in the U.S., which occur about 1.5 times annually and last about 3.5 hours, more than enough time for cold-chain failure to occur <xref ref-type="bibr" rid="scirp.147124-25">
     [25]
    </xref>. These realities demonstrate the vulnerability of vaccine storage units during common grid interruptions. Furthermore, severe storms and flash floods may disrupt transportation routes, delay vaccine shipments, or make last-mile delivery unsafe, increasing the risk of TEs during transit. For example, Winter Storm Uri in February 2021 caused widespread logistical breakdowns (power outages, road closures, and delivery disruptions), which delayed COVID-19 vaccine distribution across multiple states. The White House later reported that nearly six million doses were delayed due to winter weather nationwide, with courier systems and over 2000 vaccination sites affected by hazardous conditions and power failures <xref ref-type="bibr" rid="scirp.147124-26">
     [26]
    </xref>. White House briefings that week likewise cited approximately six million doses delayed, about three days’ shipments, affecting all 50 states <xref ref-type="bibr" rid="scirp.147124-27">
     [27]
    </xref>. In Illinois specifically, state officials confirmed that adverse weather disrupted federal vaccine shipments in mid-February 2021, prompting the Illinois Department of Public Health to proactively draw from strategic stock to maintain vaccination operations until delayed deliveries resumed <xref ref-type="bibr" rid="scirp.147124-28">
     [28]
    </xref>.</p>
   <p>Across the United States, the electric grid continues to demonstrate vulnerabilities due to severe weather, with impacts particularly evident in the Midwest. Over the years, severe weather events such as derechos, tornadoes, and blizzards have increasingly disrupted power systems, causing significant risks to public-health infrastructure, including vaccine cold-chain integrity. According to utility-submitted data compiled by the U.S. Energy Information Administration (EIA), the average annual outage duration for customers in the United States exceeds 200 minutes (approximately 3.3 hours) when major events are included <xref ref-type="bibr" rid="scirp.147124-29">
     [29]
    </xref>. These durations can easily exceed the warm-up windows of common pharmaceutical units during an outage, emphasizing the need for automated and reliable backup systems. As previously noted, even brief lapses in power can produce conditions that compromise vaccine efficacy. This reinforces the urgency of infrastructure resilience and targeted planning, particularly in healthcare settings that rely on uninterrupted vaccine cold-chain storage. Meanwhile, Illinois has experienced persistent, and at times acute weather-related disruption to electrical service. For example, publicly reported local utility data have described severe thunderstorms in Champaign County, causing outages for over 1800 customers in a single event, highlighting recurring vulnerability even during non-catastrophic weather.</p>
   <p>More comprehensively, the EAGLE-I database, a publicly available, benchmark county-level dataset with 15-minute outage resolution covering 2014-2022, shows that Illinois counties regularly face outages nearly on a weekly basis, even in the absence of declared major events <xref ref-type="bibr" rid="scirp.147124-30">
     [30]
    </xref> <xref ref-type="bibr" rid="scirp.147124-31">
     [31]
    </xref>. These localized and transient outages, often small in scale, may not significantly influence statewide averages but nonetheless pose risks to vaccine storage units, which require uninterrupted power to maintain cold-chain temperatures. To document the data source and coverage details, we reference public EAGLE-I releases (2014-2022; 15-minute resolution) available via Oak Ridge National Laboratory (ORNL) and Office of Scientific and Technical Information (OSTI) <xref ref-type="bibr" rid="scirp.147124-31">
     [31]
    </xref>. In contrast, utility-level reliability metrics paint a more favorable picture. In 2022, Commonwealth Edison (ComEd) reported a System Average Interruption Duration Index (SAIDI) of 29 minutes and a System Average Interruption Frequency Index (SAIFI) of 0.43, placing ComEd among the top-performing utilities nationwide in terms of overall reliability <xref ref-type="bibr" rid="scirp.147124-32">
     [32]
    </xref>. However, such aggregate indicators can obscure the frequency and impact of smaller, localized outages that still threaten sensitive operations like vaccine cold-chain storage. Further highlighting this vulnerability, the VA Office of Inspector General reported that on May 4, 2023, the Edward Hines Jr. VA Hospital’s IT Center endured a 22-hour outage, evidence that even critical healthcare infrastructure around Chicago remains susceptible to extended power loss <xref ref-type="bibr" rid="scirp.147124-33">
     [33]
    </xref>. Taken together, these data sources emphasize that power outages in Illinois are both frequent and consequential, reinforcing the urgent need for robust backup planning and real-time monitoring in vaccine cold-chain systems.</p>
   <p>While there is widespread acknowledgment of how critical the vaccine cold chain is to preserving vaccine potency and ensuring immunization safety, there remains little to no publicly available data quantifying vaccine losses, especially those stemming from weather-related disruptions across most U.S. jurisdictions, including Illinois. In accordance with current CDC guidance, VFC providers are expected to follow a structured response protocol after any suspected temperature excursion. This includes isolating the affected vaccines, downloading and reviewing temperature data, and contacting the manufacturer to assess vaccine viability <xref ref-type="bibr" rid="scirp.147124-9">
     [9]
    </xref> <xref ref-type="bibr" rid="scirp.147124-13">
     [13]
    </xref>. In the meantime, vaccines must not be discarded or administered until providers receive further instructions from their respective immunization programs. In Illinois, the IDPH VFC Provider Manual offers similar steps, including submitting a detailed vaccine incident report and the manufacturer’s vaccine stability statement to the immunization program for review <xref ref-type="bibr" rid="scirp.147124-13">
     [13]
    </xref>. The vaccines involved in the temperature excursion are marked “Do Not Use” until the state’s immunization program confirms whether they can be safely used or must be wasted and/or replaced <xref ref-type="bibr" rid="scirp.147124-13">
     [13]
    </xref>. These standard protocols not only help ensure timely and coordinated responses to temperature excursions and uphold vaccine safety and accountability, but also demonstrate how vaccine cold-chain incidents are typically resolved at the provider-jurisdiction level.</p>
   <p>What remains far less clear is how the data from these incidents are used once the immediate issue has been resolved, an important gap, given that understanding how vaccine cold-chain failures occur, and how frequently, is essential for informing broader systems-level improvements, especially in the context of increasing weather-related disruptions <xref ref-type="bibr" rid="scirp.147124-9">
     [9]
    </xref> <xref ref-type="bibr" rid="scirp.147124-17">
     [17]
    </xref> <xref ref-type="bibr" rid="scirp.147124-18">
     [18]
    </xref>. Yet despite this need, at the time of this writing, there is no centralized or public-facing data showing the number, causes, or trends of vaccine cold-chain incidents reported across jurisdictions in the United States. It is not clear whether states like Illinois systematically report these incidents to the CDC or whether they are aggregated in any meaningful way for national or state-level review. More importantly, while individual vaccine temperature excursions may be documented at the provider or jurisdiction level, there is no publicly accessible or centralized data at either the state or federal level, that show how many cold-chain failures were weather-related, how often shipping delays resulted in temperature excursions, or how many doses were affected. The absence of such a database creates a visibility gap that may limit understanding of the broader impact of weather-related disruptions on vaccine viability and could constrain the ability of public health agencies, researchers, and system planners to identify trends in weather-related cold-chain failures, strengthen preparedness strategies for storage-unit risks and shipping delays, and build long-term resilience in vaccine distribution systems, especially as climate patterns continue to shift across Illinois and the broader United States. To situate weather- and power-related risks within officially declared events, we also reference OpenFEMA’s Disaster Declarations Summaries for Illinois (2000-2025) <xref ref-type="bibr" rid="scirp.147124-14">
     [14]
    </xref>.</p>
   <p>Even when such incidents are resolved at the state level and vaccine losses are absorbed without disrupting service delivery at the provider level, the absence of publicly accessible and aggregated reporting may limit broader system-level understanding. While internal reporting structures may exist in the Illinois VFC program, the lack of publicly shared data makes it difficult for jurisdictions and stakeholders to compare risks, identify trends, and coordinate long-term climate-resilience strategies. Without that visibility, they may be less equipped to anticipate risk hotspots and implement climate-resilient responses, such as planning for mobile-refrigeration deployment, assisting with shipment-issue resolution, or providing technical support to high-risk areas. While jurisdictions do not manage shipping routes directly, aggregated data on cold-chain disruptions could also help inform logistics partners in refining delivery strategies for vulnerable areas. In this context, the issue is not only whether providers report excursions, but how those reports are aggregated, analyzed, and applied, or not applied, to inform broader strategies that strengthen the vaccine cold chain in a changing climate, including in Illinois, where these risks are becoming increasingly relevant. Thus, as climate-related risks continue to increase, public health programs cannot afford to treat vaccine cold-chain failures as isolated, one-time events. Each failure is a missed opportunity to learn and strengthen the system. Providers are already required to report temperature excursions to their jurisdiction’s immunization program, regardless of the cause, and the Illinois VFC program has established protocols for reviewing these incidents, including submission of vaccine-incident reports and manufacturer stability documentation <xref ref-type="bibr" rid="scirp.147124-9">
     [9]
    </xref> <xref ref-type="bibr" rid="scirp.147124-13">
     [13]
    </xref>. However, what remains unclear is whether these jurisdiction-level reports are shared with CDC in a systematic way, or if any national database aggregates, analyzes, or makes this information publicly available. To date, there is no centralized platform where the frequency, causes, or outcomes of reported excursions, especially those tied to weather-related disruptions, can be reviewed across jurisdictions. This absence of visibility makes it difficult to identify patterns, learn from previous events, or inform larger strategies for vaccine cold-chain resilience in the face of worsening and evolving climate threats. This scoping review addresses that gap by examining what is currently known, what patterns are emerging, and what practical strategies or technologies could help prevent future disruptions, particularly in Illinois, where weather-related risks to vaccine storage and delivery are becoming more common and more consequential <xref ref-type="bibr" rid="scirp.147124-11">
     [11]
    </xref> <xref ref-type="bibr" rid="scirp.147124-12">
     [12]
    </xref>.</p>
   <p>One practical area of opportunity lies in the use of smart cold-chain technologies, especially AI-enabled data loggers that are now capable of monitoring vaccine storage conditions in real time. Unlike traditional data-logger models that require providers to download and review temperature logs manually each week, these newer systems automatically upload readings to secure cloud platforms, analyze them continuously, and send alerts when a temperature excursion is either occurring or imminent <xref ref-type="bibr" rid="scirp.147124-34">
     [34]
    </xref>. Additionally, many platforms now integrate wireless IoT sensors and GPS-enabled trackers, allowing real-time monitoring of both temperature and shipment location throughout the cold chain. Automated alerts are triggered the moment any deviation occurs, and cloud-based dashboards ensure that providers or program staff can access data remotely from anywhere. While providers ultimately retain responsibility for vaccine storage compliance, these systems ease daily monitoring demands, reduce the risk of missed excursions, and offer earlier detection of potential failures <xref ref-type="bibr" rid="scirp.147124-34">
     [34]
    </xref>. Some systems, such as PharmaWatch™, go further by reducing dependence on local Wi-Fi or internal IT infrastructure. Using cellular, multi-carrier connectivity and battery-backed transmission, these tools can support real-time monitoring even during power or internet outages, which is especially valuable for rural or low-resource clinics where traditional connectivity may be unreliable <xref ref-type="bibr" rid="scirp.147124-35">
     [35]
    </xref>. These solutions reflect broader trends in the vaccine supply-chain space, where predictive and automated tools are increasingly used to support cold-chain stability and enable early intervention before a breach leads to vaccine loss <xref ref-type="bibr" rid="scirp.147124-36">
     [36]
    </xref>, a point also discussed in a peer-reviewed review of cold-chain temperature monitoring <xref ref-type="bibr" rid="scirp.147124-37">
     [37]
    </xref>. A more recent example is the development of “active prediction” systems such as MaxTrace, presented by MaxQ Research at the ISTA TempPack Forum. Unlike conventional monitoring tools that alert after an excursion begins, these systems are designed to detect patterns that indicate an excursion is about to occur, sending alerts in advance so providers can act before temperatures move out of range <xref ref-type="bibr" rid="scirp.147124-36">
     [36]
    </xref>. This kind of forward-facing innovation moves beyond real-time alerts and toward real-time prevention, which is exactly the direction public-health cold-chain systems need. Even more importantly, these systems should begin to integrate environmental data such as weather forecasts and regional power-outage modeling, especially as severe storms, heatwaves, and floods become more common causes of cold-chain disruption. While no publicly documented system yet combines weather-predictive alerts with storage-unit-specific risk assessment, this kind of integrated tool could be transformative. Imagine a platform that not only monitors storage temperature, but also receives advanced weather alerts, predicts power-grid instability, and automatically notifies the provider that a storage unit is at high risk of excursion within the next few hours, well before any temperature change actually begins. This level of integration would be especially beneficial to rural clinics, where backup power options may be limited and early action is critical to preventing vaccine loss. As the climate continues to change, this is the kind of thinking and design the public-health sector should prioritize, not as a luxury, but as a practical necessity for system-wide vaccine cold-chain resilience.</p>
   <p>Overall, there is an urgent need to rethink how vaccine cold-chain risks are being managed in a changing climate. While providers and jurisdictions have established systems for responding to temperature excursions, there is limited visibility into how those incidents are tracked, shared, or applied to future planning. At the same time, smart technologies, including AI-enabled data loggers, predictive shipping tools, and proposed designs that could link weather forecasting with cold-chain risk alerts are showing what is possible when innovation is used to anticipate failure rather than react to it. For the immunization program in Illinois and beyond, the challenge is not just technical but structural: how do we bridge the gap between what exists, what’s emerging, and what is needed to build a vaccine cold-chain that is truly resilient to severe weather and power instability? This scoping review begins to address that question by mapping the current state of evidence in Illinois, identifying patterns in weather-related cold-chain disruptions, and exploring what practical strategies - technological, operational, and policy-based, can help protect vaccine integrity in the years ahead.</p>
  </sec><sec id="s3">
   <title>3. Methods</title>
   <sec id="s3_1">
    <title>3.1. Study Design</title>
    <p>This study employed a scoping review methodology based on the Arksey and O’Malley framework <xref ref-type="bibr" rid="scirp.147124-38">
      [38]
     </xref> and is reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) checklist <xref ref-type="bibr" rid="scirp.147124-39">
      [39]
     </xref>. Considering the evolving nature of literature on climate-related threats to vaccine cold-chain systems, especially those affecting storage units and shipping, this scoping review approach allowed for structured mapping of the extent, range, and nature of related research activity on weather-related cold-chain disruptions across the United States, with a focus on Illinois.</p>
   </sec>
   <sec id="s3_2">
    <title>3.2. Research Questions</title>
    <p>This scoping review was guided by the following research questions (RQs):</p>
   </sec>
   <sec id="s3_3">
    <title>3.3. Identifying Relevant Studies</title>
    <p>The search strategy was designed to systematically identify publicly available studies and reports relevant to vaccine cold-chain disruptions associated with severe weather events in the United States, with emphasis on Illinois. Guided by the research questions, the search concentrated on three major areas: (i) weather-related disruptions to vaccine storage and transport, (ii) incident patterns and response strategies, and (iii) emerging technologies (e.g., AI) for anticipating or mitigating these disruptions. A preliminary review of literature and federal guidance (e.g., CDC <xref ref-type="bibr" rid="scirp.147124-9">
      [9]
     </xref>) informed the selection of key search concepts and terminology.</p>
    <p>The following core categories were used to develop Boolean search strings and refined across databases:</p>
    <p>Search terms were adapted per research question:</p>
    <p>To ensure breadth and relevance, searches were conducted across three major electronic sources: PubMed/MEDLINE, Scopus, and Google Scholar. In addition, grey literature was searched via the Centers for Disease Control and Prevention (CDC), Illinois Department of Public Health (IDPH), National Association of County and City Health Officials (NACCHO), Association of State and Territorial Health Officials (ASTHO), and relevant federal or nonprofit health-resilience reports (e.g., FEMA, NOAA [National Oceanic and Atmospheric Administration], NWS [National Weather Service], ASPR). Searches were restricted to publications from January 2000 through July 2025 to capture both historical cold-chain incidents and more recent climate-related disruptions, including COVID-19-era vaccine shipping and storage incidents.</p>
   </sec>
   <sec id="s3_4">
    <title>3.4. Study Selection</title>
    <p>Initial search yielded 392 records; 87 duplicates were removed; 305 titles/abstracts were screened; 76 full texts were assessed; 39 met inclusion criteria. At full text, 35 items were excluded for reasons such as not addressing weather-related cold-chain disruption, lacking U.S./Illinois relevance, inaccessible full text, or insufficient detail on storage/shipping practices. Screening and extraction were conducted by one reviewer with adherence to PRISMA-ScR reporting to minimize bias.</p>
   </sec>
   <sec id="s3_5">
    <title>3.5. Inclusion Criteria</title>
    <p>Studies were included if they met the following criteria:</p>
   </sec>
   <sec id="s3_6">
    <title>3.6. Charting the Data</title>
    <p>A structured data extraction template was developed to chart information relevant to the research questions. The following core elements were extracted and organized into three thematic domains aligned with the review questions:</p>
    <p>1) Source Characteristics</p>
    <p>2) Disruption Type</p>
    <p>3) Response and Innovation Type</p>
   </sec>
   <sec id="s3_7">
    <title>3.7. Collating, Summarizing, and Reporting the Results</title>
    <p>The data extracted from eligible sources were collated and organized according to the four guiding research questions. A narrative approach was used to categorize findings into thematic clusters, with results grouped into: (1) weather-related disruptions to vaccine cold chain systems (e.g., power outages, storage unit failures, and transport/shipping delays), (2) observable patterns in temperature excursions, shipping interruptions, and location-specific incident types, especially within Illinois, (3) documented mitigation strategies and operational protocols, such as the use of backup generators, emergency storage plans, and alternate delivery routes, and (4) references to emerging technologies including artificial intelligence (AI), predictive analytics, GIS-based climate modeling, and digital cold chain tracking systems.</p>
    <p>The review prioritized reporting on publicly documented cases, recurring types of system failure (e.g., storage unit failures, shipping delays leading to temperature excursions, and disruptions caused by severe weather such as floods, heatwaves or ice storms), and available guidance from public health agencies and logistics stakeholders. Illinois-specific references were highlighted and discussed relative to national trends.</p>
    <p>In line with established scoping review methodology, no formal quality appraisal of included sources was conducted. The goal was to map the breadth and characteristics of existing evidence relevant to vaccine cold chain stability in the face of severe weather threats.</p>
   </sec>
  </sec><sec id="s4">
   <title>4. Results</title>
   <sec id="s4_1">
    <title>
     <xref ref-type="bibr" rid="scirp.147124-"></xref>4.1. Study Selection</title>
    <p>The search yielded 392 records. After deduplication (n = 87), 305 unique titles/abstracts were screened; 76 full texts were reviewed for eligibility (<xref ref-type="fig" rid="fig1">
      Figure 1
     </xref>). Forty-one met inclusion criteria and were charted for analysis; 35 were excluded at full text for reasons including insufficient relevance to weather-related cold-chain disruption, lack of U.S./Illinois applicability, inaccessible full text, or insufficient detail on storage/shipping practices.</p>
    <fig id="fig1" position="float">
     <label>Figure 1</label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.147124-"></xref>Figure 1. PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) flow diagram.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2370257-rId19.jpeg?20251111023351" />
    </fig>
   </sec>
   <sec id="s4_2">
    <title>4.2. Study Characteristics</title>
    <p>
     <xref ref-type="bibr" rid="scirp.147124-"></xref>The 39 included items comprised peer-reviewed studies and reviews (e.g., <xref ref-type="bibr" rid="scirp.147124-18">
      [18]
     </xref> <xref ref-type="bibr" rid="scirp.147124-20">
      [20]
     </xref> <xref ref-type="bibr" rid="scirp.147124-21">
      [21]
     </xref> <xref ref-type="bibr" rid="scirp.147124-25">
      [25]
     </xref> <xref ref-type="bibr" rid="scirp.147124-37">
      [37]
     </xref>), federal and state guidance or technical reports <xref ref-type="bibr" rid="scirp.147124-7">
      [7]
     </xref>-<xref ref-type="bibr" rid="scirp.147124-10">
      [10]
     </xref> <xref ref-type="bibr" rid="scirp.147124-12">
      [12]
     </xref> <xref ref-type="bibr" rid="scirp.147124-14">
      [14]
     </xref>, national datasets or program briefings <xref ref-type="bibr" rid="scirp.147124-29">
      [29]
     </xref>-<xref ref-type="bibr" rid="scirp.147124-32">
      [32]
     </xref>, and mission-critical grey literature describing monitoring technologies and logistics performance (e.g., <xref ref-type="bibr" rid="scirp.147124-34">
      [34]
     </xref>-<xref ref-type="bibr" rid="scirp.147124-36">
      [36]
     </xref>). Publication years span 2006-2025, with an uptick after 2020 alongside pandemic-era distribution and more frequent extreme weather reports (<xref ref-type="fig" rid="fig2">
      Figure 2
     </xref>). Most sources address national patterns; a subset provides Illinois-specific references, including state program guidance <xref ref-type="bibr" rid="scirp.147124-13">
      [13]
     </xref>, utility reliability summaries <xref ref-type="bibr" rid="scirp.147124-32">
      [32]
     </xref>, outage datasets <xref ref-type="bibr" rid="scirp.147124-30">
      [30]
     </xref> <xref ref-type="bibr" rid="scirp.147124-31">
      [31]
     </xref>, and a major medical center outage around Chicago <xref ref-type="bibr" rid="scirp.147124-33">
      [33]
     </xref> (<xref ref-type="table" rid="table1">
      Table 1
     </xref>).</p>
    <table-wrap id="table1">
     <label>
      <xref ref-type="table" rid="table1">
       Table 1
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.147124-"></xref>Table 1. Characteristics of included sources (n = 39).</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="76.65%"><p style="text-align:center">Category</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="23.74%"><p style="text-align:center">Count (n)</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="25.10%"><p style="text-align:center">% of Total</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="76.65%"><p style="text-align:center">Source type</p></td> 
       <td class="custom-top-td acenter" width="23.74%"><p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="25.10%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="76.65%"><p style="text-align:center">Peer-reviewed articles</p></td> 
       <td class="acenter" width="23.74%"><p style="text-align:center">14</p></td> 
       <td class="acenter" width="25.10%"><p style="text-align:center">34.1%</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="76.65%"><p style="text-align:center">Government reports/datasets</p></td> 
       <td class="acenter" width="23.74%"><p style="text-align:center">14</p></td> 
       <td class="acenter" width="25.10%"><p style="text-align:center">34.1%</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="76.65%"><p style="text-align:center">Technical toolkits/manuals</p></td> 
       <td class="acenter" width="23.74%"><p style="text-align:center">2</p></td> 
       <td class="acenter" width="25.10%"><p style="text-align:center">4.9%</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="76.65%"><p style="text-align:center">Grey literature (NGO/corporate/media/trade)</p></td> 
       <td class="custom-bottom-td acenter" width="23.74%"><p style="text-align:center">9</p></td> 
       <td class="custom-bottom-td acenter" width="25.10%"><p style="text-align:center">22.0%</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="76.65%"><p style="text-align:center">Scope</p></td> 
       <td class="custom-top-td acenter" width="23.74%"><p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="25.10%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="76.65%"><p style="text-align:center">National/multi-state</p></td> 
       <td class="acenter" width="23.74%"><p style="text-align:center">32</p></td> 
       <td class="acenter" width="25.10%"><p style="text-align:center">78.0%</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="76.65%"><p style="text-align:center">Illinois-specific</p></td> 
       <td class="custom-bottom-td acenter" width="23.74%"><p style="text-align:center">9</p></td> 
       <td class="custom-bottom-td acenter" width="25.10%"><p style="text-align:center">22.0%</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="76.65%"><p style="text-align:center">Publication period</p></td> 
       <td class="custom-top-td acenter" width="23.74%"><p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="25.10%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="76.65%"><p style="text-align:center">2000-2010</p></td> 
       <td class="acenter" width="23.74%"><p style="text-align:center">3</p></td> 
       <td class="acenter" width="25.10%"><p style="text-align:center">7.3%</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="76.65%"><p style="text-align:center">2011-2020</p></td> 
       <td class="acenter" width="23.74%"><p style="text-align:center">11</p></td> 
       <td class="acenter" width="25.10%"><p style="text-align:center">26.8%</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="76.65%"><p style="text-align:center">2021-2025</p></td> 
       <td class="acenter" width="23.74%"><p style="text-align:center">24</p></td> 
       <td class="acenter" width="25.10%"><p style="text-align:center">58.5%</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="76.65%"><p style="text-align:center">Undated/not stated*</p></td> 
       <td class="custom-bottom-td acenter" width="23.74%"><p style="text-align:center">3</p></td> 
       <td class="custom-bottom-td acenter" width="25.10%"><p style="text-align:center">7.3%</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>*Undated items are official resources without a publication year on the citation (e.g., certain datasets/pages); included here for completeness.</p>
    <fig id="fig2" position="float">
     <label>Figure 2</label>
     <caption>
      <title>Note: Undated items (n = 3) were official resources without a stated publication year and were excluded from the figure.<xref ref-type="bibr" rid="scirp.147124-"></xref>Figure 2. Distribution of included publications by year.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2370257-rId20.jpeg?20251111023351" />
    </fig>
   </sec>
   <sec id="s4_3">
    <title>4.3. Weather-Related Disruptions to Storage and Shipping</title>
    <p>Evidence from laboratory (experimental) and field/outage (observational) data shows power loss is a primary weather-sensitive threat to refrigerators and freezers. Bench tests in refrigerators, especially glass-door models, crossed 8˚C within ~45 - 140 minutes after power loss <xref ref-type="bibr" rid="scirp.147124-23">
      [23]
     </xref>; the same outage mechanism applies to freezers, reinforcing the need for continuous digital monitoring <xref ref-type="bibr" rid="scirp.147124-24">
      [24]
     </xref>. NIST’s subsequent work supports continuous digital monitoring and practical probe methods that reflect liquid vaccine temperatures <xref ref-type="bibr" rid="scirp.147124-24">
      [24]
     </xref>. These warm-up intervals are short relative to typical U.S. outages (~1.5 events/year, ~3.5 hours) <xref ref-type="bibr" rid="scirp.147124-25">
      [25]
     </xref> and to EIA’s national reliability picture (&gt;200 minutes average annual outage duration when major events are included) <xref ref-type="bibr" rid="scirp.147124-29">
      [29]
     </xref>. Illinois-relevant materials further underscore that localized outages remain common despite strong utility-level averages: ORNL’s EAGLE-I (2014-2022, 15-minute resolution) shows routine, small-area interruptions at county scale, while ComEd’s low SAIDI/SAIFI aggregate metrics can mask local variability <xref ref-type="bibr" rid="scirp.147124-30">
      [30]
     </xref> <xref ref-type="bibr" rid="scirp.147124-32">
      [32]
     </xref>. A high-impact example, the 22-hour outage at Edward Hines Jr. VA Hospital’s IT Center (May 4, 2023), illustrates the stakes for health infrastructure in the Chicago area <xref ref-type="bibr" rid="scirp.147124-33">
      [33]
     </xref> (see<xref ref-type="fig" rid="fig3">
      Figure 3
     </xref>).</p>
    <fig id="fig3" position="float">
     <label>Figure 3</label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.147124-"></xref>Figure 3. Time-to-warm (laboratory) vs benchmark outage durations.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2370257-rId21.jpeg?20251111023351" />
    </fig>
    <p>Evidence gap: While outage and weather datasets (NOAA storm records <xref ref-type="bibr" rid="scirp.147124-22">
      [22]
     </xref>; EIA reliability metrics <xref ref-type="bibr" rid="scirp.147124-29">
      [29]
     </xref>; EAGLE-I county-level interruptions <xref ref-type="bibr" rid="scirp.147124-30">
      [30]
     </xref> <xref ref-type="bibr" rid="scirp.147124-31">
      [31]
     </xref>) show conditions that consistently threaten vaccine cold-chain stability, neither Illinois nor, to our knowledge, most U.S. jurisdictions publish statewide, cause-coded, public aggregates that quantify vaccine outcomes (e.g., number of excursions, doses affected or lost) attributable specifically to weather-related power loss. Public CDC/IDPH operational guidance and provider manual describe what providers must do after excursions but do not present public data of incident counts by cause. In other states, publicly posted resources similarly focus on VFC protocols rather than statewide public data. Thus, the magnitude of weather-related vaccine loss in Illinois remains unquantified in the public domain; outage proxies are informative but are not linked to dose-level consequences.</p>
    <p>Illinois takeaway: The storage risk is clear and time-sensitive; the scale of vaccine impact is not publicly visible, pointing to a data-aggregation gap rather than a protocol gap. (See §4.6 and Discussion for synthesis and implications).</p>
    <p>Severe storms and cold snaps disrupted vaccine distribution nationally and in Illinois. During Winter Storm Uri (February 2021), national briefings cited ~6 million doses delayed, about three days of shipments, with courier and site operations constrained by roads and power <xref ref-type="bibr" rid="scirp.147124-26">
      [26]
     </xref> <xref ref-type="bibr" rid="scirp.147124-27">
      [27]
     </xref>. In Illinois, IDPH reported mid-February 2021 weather-related COVID-19 vaccine shipment disruptions and the use of strategic stock to sustain operations until deliveries resumed <xref ref-type="bibr" rid="scirp.147124-28">
      [28]
     </xref>.</p>
    <p>Evidence gap: While national briefings and media reports clearly document large-scale shipment delays during severe weather (e.g., Winter Storm Uri) and Illinois program actions to buffer operations (<xref ref-type="bibr" rid="scirp.147124-26">
      [26]
     </xref>-<xref ref-type="bibr" rid="scirp.147124-28">
      [28]
     </xref>), none of the Illinois-referenced, publicly available sources quantified dose-level outcomes tied specifically to weather-related shipping disruptions (e.g., in-transit excursions, doses spoiled, or reshipment volumes). Public guidance cited here likewise does not aggregate shipping-related excursions into statewide, cause-coded summaries. As a result, the extent to which weather-driven delays translate into temperature control failures in Illinois remains unquantified in the public domain.</p>
    <p>Illinois takeaway: Weather can and does slow deliveries; the program response is visible, but downstream vaccine-impact metrics (excursions or doses affected due to delay) are not publicly reported, parallel to the storage/outage visibility gap (see §4.6 and Discussion).</p>
    <p>Long-run assessments describe Illinois as warmer and wetter, with more frequent heavy precipitation, heat waves, and winter storm variability (<xref ref-type="bibr" rid="scirp.147124-10">
      [10]
     </xref>-<xref ref-type="bibr" rid="scirp.147124-12">
      [12]
     </xref>). NOAA’s Storm Events Database provides county-level context for the frequency of extremes referenced throughout this review (NOAA, 1950-present). These patterns align with the outages and logistics risks described above.</p>
   </sec>
   <sec id="s4_4">
    <title>4.4. Incident Response Protocols and Governance</title>
    <p>Guidance is consistent on immediate response to suspected excursions: isolate affected vaccines, download and review digital data, consult manufacturers, and coordinate with jurisdictional programs before discarding or administering (<xref ref-type="bibr" rid="scirp.147124-9">
      [9]
     </xref> <xref ref-type="bibr" rid="scirp.147124-13">
      [13]
     </xref>). Illinois’ VFC manual requires a vaccine incident report and a manufacturer stability statement, with “Do Not Use” status until program determination (<xref ref-type="bibr" rid="scirp.147124-13">
      [13]
     </xref>). These practices support patient safety and program integrity.</p>
   </sec>
   <sec id="s4_5">
    <title>
     <xref ref-type="bibr" rid="scirp.147124-"></xref>4.5. Emerging Monitoring and Prevention Technologies</title>
    <p>Included sources describe a shift from manual log downloads to automated, cloud-connected monitoring with continuous analytics and real-time alerts <xref ref-type="bibr" rid="scirp.147124-34">
      [34]
     </xref>. Platforms increasingly integrate IoT sensors and GPS for in-transit visibility; some use cellular, multi-carrier connections with battery-backed reporting to reduce dependence on site Wi-Fi, useful where connectivity and power are less reliable <xref ref-type="bibr" rid="scirp.147124-35">
      [35]
     </xref>. Industry presentations describe “active prediction” concepts (e.g., MaxTrace) designed to flag temperature excursions before thresholds are crossed <xref ref-type="bibr" rid="scirp.147124-36">
      [36]
     </xref>. Peer-reviewed reviews support the move toward robust, validated digital monitoring <xref ref-type="bibr" rid="scirp.147124-37">
      [37]
     </xref>, while NIST testing highlights accuracy and maintenance approaches for digital data loggers (DDLs) <xref ref-type="bibr" rid="scirp.147124-24">
      [24]
     </xref> (See<xref ref-type="table" rid="table2">
      Table 2
     </xref>).</p>
    <table-wrap id="table2">
     <label>
      <xref ref-type="table" rid="table2">
       Table 2
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.147124-"></xref>Table 2. Monitoring/prevention capabilities as described in included sources.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="35.29%"><p style="text-align:center">Capability</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.04%"><p style="text-align:center">Evidence type</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="17.84%"><p style="text-align:center">Source(s) describing the capability</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="33.82%"><p style="text-align:center">Notes (scope of description)</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="35.29%"><p style="text-align:center">Continuous digital monitoring (DDLs)</p></td> 
       <td class="custom-top-td acenter" width="13.04%"><p style="text-align:center">Bench + review</p></td> 
       <td class="custom-top-td acenter" width="17.84%"><p style="text-align:center">
         <xref ref-type="bibr" rid="scirp.147124-24">
          [24]
         </xref> <xref ref-type="bibr" rid="scirp.147124-37">
          [37]
         </xref></p></td> 
       <td class="custom-top-td acenter" width="33.82%"><p style="text-align:center">Validates DDL use; general best practice.</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="35.29%"><p style="text-align:center">Probe methods reflecting liquid vaccine temps (e.g., glycol, placement)</p></td> 
       <td class="acenter" width="13.04%"><p style="text-align:center">Bench + review</p></td> 
       <td class="acenter" width="17.84%"><p style="text-align:center">
         <xref ref-type="bibr" rid="scirp.147124-24">
          [24]
         </xref> <xref ref-type="bibr" rid="scirp.147124-37">
          [37]
         </xref></p></td> 
       <td class="acenter" width="33.82%"><p style="text-align:center">Probe media/placement and measurement practices that reflect liquid vaccine temperatures.</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="35.29%"><p style="text-align:center">Calibration/maintenance &amp; accuracy (e.g., ice-point checks, drift)</p></td> 
       <td class="acenter" width="13.04%"><p style="text-align:center">Bench + review</p></td> 
       <td class="acenter" width="17.84%"><p style="text-align:center">
         <xref ref-type="bibr" rid="scirp.147124-24">
          [24]
         </xref> <xref ref-type="bibr" rid="scirp.147124-37">
          [37]
         </xref></p></td> 
       <td class="acenter" width="33.82%"><p style="text-align:center">Accuracy verification and maintenance guidance.</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="35.29%"><p style="text-align:center">Automated, cloud-connected upload (vs. manual weekly downloads)</p></td> 
       <td class="acenter" width="13.04%"><p style="text-align:center">Review + vendor</p></td> 
       <td class="acenter" width="17.84%"><p style="text-align:center">
         <xref ref-type="bibr" rid="scirp.147124-34">
          [34]
         </xref> <xref ref-type="bibr" rid="scirp.147124-35">
          [35]
         </xref> <xref ref-type="bibr" rid="scirp.147124-37">
          [37]
         </xref></p></td> 
       <td class="acenter" width="33.82%"><p style="text-align:center">Automation and remote access described.</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="35.29%"><p style="text-align:center">Real-time alerting for excursions</p></td> 
       <td class="acenter" width="13.04%"><p style="text-align:center">Review + vendor</p></td> 
       <td class="acenter" width="17.84%"><p style="text-align:center">
         <xref ref-type="bibr" rid="scirp.147124-35">
          [35]
         </xref>-<xref ref-type="bibr" rid="scirp.147124-37">
          [37]
         </xref></p></td> 
       <td class="acenter" width="33.82%"><p style="text-align:center">Alerts/threshold notification described.</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="35.29%"><p style="text-align:center">Predictive/early-warning analytics (pre-threshold)</p></td> 
       <td class="acenter" width="13.04%"><p style="text-align:center">Trade/industry</p></td> 
       <td class="acenter" width="17.84%"><p style="text-align:center">
         <xref ref-type="bibr" rid="scirp.147124-34">
          [34]
         </xref> <xref ref-type="bibr" rid="scirp.147124-35">
          [35]
         </xref></p></td> 
       <td class="acenter" width="33.82%"><p style="text-align:center">Predictive concept described; peer‑reviewed validation not present in this set.</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="35.29%"><p style="text-align:center">IoT wireless sensors (integrated sensing)</p></td> 
       <td class="acenter" width="13.04%"><p style="text-align:center">Review + vendor</p></td> 
       <td class="acenter" width="17.84%"><p style="text-align:center">
         <xref ref-type="bibr" rid="scirp.147124-34">
          [34]
         </xref> <xref ref-type="bibr" rid="scirp.147124-35">
          [35]
         </xref> <xref ref-type="bibr" rid="scirp.147124-37">
          [37]
         </xref></p></td> 
       <td class="acenter" width="33.82%"><p style="text-align:center">General trend and vendor examples.</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="35.29%"><p style="text-align:center">In‑transit visibility (temperature + GPS)</p></td> 
       <td class="acenter" width="13.04%"><p style="text-align:center">Review + vendor</p></td> 
       <td class="acenter" width="17.84%"><p style="text-align:center">
         <xref ref-type="bibr" rid="scirp.147124-34">
          [34]
         </xref> <xref ref-type="bibr" rid="scirp.147124-35">
          [35]
         </xref> <xref ref-type="bibr" rid="scirp.147124-37">
          [37]
         </xref></p></td> 
       <td class="acenter" width="33.82%"><p style="text-align:center">Concept described in review; vendor example noted.</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="35.29%"><p style="text-align:center">Connectivity resilience (cellular, multi‑carrier)</p></td> 
       <td class="acenter" width="13.04%"><p style="text-align:center">Vendor</p></td> 
       <td class="acenter" width="17.84%"><p style="text-align:center">
         <xref ref-type="bibr" rid="scirp.147124-35">
          [35]
         </xref></p></td> 
       <td class="acenter" width="33.82%"><p style="text-align:center">Reduces dependence on local Wi‑Fi.</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="35.29%"><p style="text-align:center">Battery‑backed transmission during outages</p></td> 
       <td class="acenter" width="13.04%"><p style="text-align:center">Vendor</p></td> 
       <td class="acenter" width="17.84%"><p style="text-align:center">
         <xref ref-type="bibr" rid="scirp.147124-35">
          [35]
         </xref></p></td> 
       <td class="acenter" width="33.82%"><p style="text-align:center">Supports monitoring continuity during power/internet loss.</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="35.29%"><p style="text-align:center">Remote dashboards/multi‑site oversight</p></td> 
       <td class="acenter" width="13.04%"><p style="text-align:center">Review + vendor</p></td> 
       <td class="acenter" width="17.84%"><p style="text-align:center">
         <xref ref-type="bibr" rid="scirp.147124-34">
          [34]
         </xref> <xref ref-type="bibr" rid="scirp.147124-35">
          [35]
         </xref> <xref ref-type="bibr" rid="scirp.147124-37">
          [37]
         </xref></p></td> 
       <td class="acenter" width="33.82%"><p style="text-align:center">Fleet/site management and oversight.</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="35.29%"><p style="text-align:center">Data export/audit logs for compliance</p></td> 
       <td class="custom-bottom-td acenter" width="13.04%"><p style="text-align:center">Review + vendor</p></td> 
       <td class="custom-bottom-td acenter" width="17.84%"><p style="text-align:center">
         <xref ref-type="bibr" rid="scirp.147124-34">
          [34]
         </xref> <xref ref-type="bibr" rid="scirp.147124-35">
          [35]
         </xref> <xref ref-type="bibr" rid="scirp.147124-37">
          [37]
         </xref></p></td> 
       <td class="custom-bottom-td acenter" width="33.82%"><p style="text-align:center">Traceability and compliance support.</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>Note: Entries reflect information reported in the cited materials. Absence of a citation does not imply a product lacks the capability, only that it was not described in the reviewed sources.</p>
   </sec>
   <sec id="s4_6">
    <title>4.6. Evidence Gaps</title>
    <p>Within the limits of what is publicly available, three evidence gaps emerge that affect burden estimation and the targeting of resilience investments in Illinois:</p>
    <p>1) Absence of a public-facing, cause-coded statewide registry of cold-chain incidents and dose impact</p>
    <p>Current guidance and forms describe provider actions after an excursion (<xref ref-type="bibr" rid="scirp.147124-9">
      [9]
     </xref> <xref ref-type="bibr" rid="scirp.147124-13">
      [13]
     </xref>), but Illinois does not publish de-identified statewide aggregates that classify incidents by cause (e.g., weather/power, equipment failure, handling error, shipping delay) and quantify doses affected/wasted.</p>
    <p>2) Proxy-to-outcome linkage gap</p>
    <p>Public datasets report exposure to relevant hazards (e.g., Hayhoe et al./EPA indicators <xref ref-type="bibr" rid="scirp.147124-11">
      [11]
     </xref> <xref ref-type="bibr" rid="scirp.147124-12">
      [12]
     </xref>; NOAA storm records <xref ref-type="bibr" rid="scirp.147124-22">
      [22]
     </xref>; EIA reliability metrics <xref ref-type="bibr" rid="scirp.147124-29">
      [29]
     </xref>; EAGLE-I county-level interruptions <xref ref-type="bibr" rid="scirp.147124-30">
      [30]
     </xref> <xref ref-type="bibr" rid="scirp.147124-31">
      [31]
     </xref>), yet those exposure proxies are not linked in public reporting to vaccine outcomes in Illinois (e.g., excursion counts, wastage, revaccination needs).</p>
    <p>3) Shipping delays without public, in-transit temperature or dose outcomes</p>
    <p>Severe-weather delays were reported nationally and acknowledged in Illinois operations (<xref ref-type="bibr" rid="scirp.147124-26">
      [26]
     </xref>-<xref ref-type="bibr" rid="scirp.147124-28">
      [28]
     </xref>). However, publicly available Illinois program materials do not include aggregate, in-transit temperature-control outcomes or dose impacts attributable to those delays. This is consistent with data stewardship in the U.S. vaccine supply chain: continuous shipment-temperature data are typically held by distributors/manufacturers and carriers, while state programs generally gain visibility after receipt (e.g., through provider incident reports). To the extent shipment issues are detectable at the provider level (e.g., temperature-indicator tags included by manufacturers), these signals may appear in site-level reports, but they are not publicly aggregated by cause (e.g., weather-related delay) or linked to statewide dose counts. Consequently, Illinois, and, likely, most jurisdictions, can see logistics stress (delays) but not the public, dose-level consequences of in-transit temperature control. Together, these gaps limit burden estimation, hotspot identification, and evaluation of resilience measures in Illinois.</p>
    <p>Implication (state and national reporting/learning)</p>
    <p>Within Illinois, the absence of public, cause-coded, de-identified aggregation means weather/power exposures are visible, but dose-level effects are not. Nationally, CDC is well positioned to convene awardee reporting and publish de-identified, standardized aggregates (e.g., excursions and doses affected attributed to weather/power vs. other causes), given its role in guidance and vaccine management systems. In our review of publicly available data, we did not identify CDC-published national aggregates quantifying weather- or shipping-attributable temperature excursions or dose loss. Similarly, we did not identify publicly accessible, cause-coded statewide aggregates (e.g., excursions and doses affected attributed to weather/power vs other causes, with coarse temporal summaries and, where feasible, coarse geography such as region/county). Availability of such data could support cross-jurisdiction learning and guide Illinois-specific vaccine cold-chain resilience as climate-related risks evolve.</p>
   </sec>
  </sec><sec id="s5">
   <title>
    <xref ref-type="bibr" rid="scirp.147124-"></xref>5. Discussion</title>
   <sec id="s5_1">
    <title>5.1. Summary of Key Findings</title>
    <p>Our scoping review found that severe weather, including heatwaves, winter storms, floods, and associated power outages pose persistent risks to the vaccine cold-chain across the United States, including Illinois <xref ref-type="bibr" rid="scirp.147124-23">
      [23]
     </xref> <xref ref-type="bibr" rid="scirp.147124-28">
      [28]
     </xref>. Nationally, the literature and official communications describe weather-related distribution slowdowns, storage-unit vulnerabilities, and temperature excursions <xref ref-type="bibr" rid="scirp.147124-9">
      [9]
     </xref> <xref ref-type="bibr" rid="scirp.147124-23">
      [23]
     </xref> <xref ref-type="bibr" rid="scirp.147124-26">
      [26]
     </xref> <xref ref-type="bibr" rid="scirp.147124-27">
      [27]
     </xref>. However, Illinois-specific, publicly accessible, cause-coded aggregates of cold-chain incidents (e.g., excursions and doses affected attributed to weather/power outage vs other causes) remain somewhat lacking <xref ref-type="bibr" rid="scirp.147124-13">
      [13]
     </xref> <xref ref-type="bibr" rid="scirp.147124-30">
      [30]
     </xref> <xref ref-type="bibr" rid="scirp.147124-31">
      [31]
     </xref>. Documented mitigation strategies emphasize backup power, strategic stock, and continuous digital temperature monitoring—the CDC standard already used by providers <xref ref-type="bibr" rid="scirp.147124-9">
      [9]
     </xref> <xref ref-type="bibr" rid="scirp.147124-13">
      [13]
     </xref> <xref ref-type="bibr" rid="scirp.147124-20">
      [20]
     </xref>. The newer layer in our sources is smart cold-chain technology: AI-enabled data loggers that automatically upload to secure cloud platforms, analyze readings continuously, and send real-time alerts; some integrate wireless IoT/GPS and cellular, battery-backed connectivity to keep monitoring during power or internet loss <xref ref-type="bibr" rid="scirp.147124-34">
      [34]
     </xref> <xref ref-type="bibr" rid="scirp.147124-35">
      [35]
     </xref> <xref ref-type="bibr" rid="scirp.147124-37">
      [37]
     </xref>. Trade/industry reports also describe predictive (“pre-threshold”) alerts (e.g., MaxTrace) aimed at warning before temperatures drift out of range <xref ref-type="bibr" rid="scirp.147124-36">
      [36]
     </xref>.</p>
    <p>In all the Illinois sources we reviewed, we did not identify peer-reviewed evaluations or publicly accessible program documentation showing provider deployment of pre-threshold, predictive alerts or weather-linked excursion prediction; meanwhile, Illinois-specific evidence points to clear strengths (e.g., high MMR coverage; established vaccine incident report protocols) alongside vulnerabilities, especially in rural areas where power instability and limited backup capacity elevate risk <xref ref-type="bibr" rid="scirp.147124-8">
      [8]
     </xref> <xref ref-type="bibr" rid="scirp.147124-11">
      [11]
     </xref>-<xref ref-type="bibr" rid="scirp.147124-13">
      [13]
     </xref>, which may impede statewide vaccine risk assessment due to weather-related power outage and the ability to target program-level supports, such as focused technical assistance and training, prioritized outreach to higher-risk providers identified via power outage/storm exposure, temporary redistribution support during declared weather disruptions, and, where feasible, competitive micro-grants for backup power or connectivity-resilient vaccine cold-chain monitoring, without presuming any particular funding decision <xref ref-type="bibr" rid="scirp.147124-9">
      [9]
     </xref> <xref ref-type="bibr" rid="scirp.147124-13">
      [13]
     </xref> <xref ref-type="bibr" rid="scirp.147124-14">
      [14]
     </xref> <xref ref-type="bibr" rid="scirp.147124-28">
      [28]
     </xref> <xref ref-type="bibr" rid="scirp.147124-30">
      [30]
     </xref> <xref ref-type="bibr" rid="scirp.147124-31">
      [31]
     </xref>.</p>
    <p>It is important to note that this review assesses only publicly accessible data and documentation; it does not evaluate the potential existence or content of internal, non-public data systems within IDPH or CDC.</p>
   </sec>
   <sec id="s5_2">
    <title>5.2. Critical Interpretation of Findings by Research Question</title>
    <p>Power outages, often triggered by severe weather, are a well-documented risk to vaccine storage <xref ref-type="bibr" rid="scirp.147124-9">
      [9]
     </xref> <xref ref-type="bibr" rid="scirp.147124-23">
      [23]
     </xref>. In Illinois, mid-February 2021 weather caused vaccine shipping delays, with the state drawing on strategic stock to buffer operations <xref ref-type="bibr" rid="scirp.147124-26">
      [26]
     </xref>-<xref ref-type="bibr" rid="scirp.147124-28">
      [28]
     </xref>. Laboratory work shows pharmaceutical-grade refrigerators can rise above 8˚C within roughly 45 - 140 minutes once power is lost <xref ref-type="bibr" rid="scirp.147124-23">
      [23]
     </xref>. These risks coexist with observed exposure patterns: EIA reliability metrics and EAGLE-I outage data capture interruptions relevant to cold-chain stability, and regional climate syntheses describe more heavy precipitation and storm variability <xref ref-type="bibr" rid="scirp.147124-11">
      [11]
     </xref> <xref ref-type="bibr" rid="scirp.147124-12">
      [12]
     </xref> <xref ref-type="bibr" rid="scirp.147124-29">
      [29]
     </xref>-<xref ref-type="bibr" rid="scirp.147124-31">
      [31]
     </xref>. Despite strong utility-level averages in northern Illinois <xref ref-type="bibr" rid="scirp.147124-32">
      [32]
     </xref>, short, localized power outages still occur, often lasting longer than the ~45 - 140 minutes it can take units to warm beyond the safe vaccine storage range <xref ref-type="bibr" rid="scirp.147124-23">
      [23]
     </xref> <xref ref-type="bibr" rid="scirp.147124-30">
      [30]
     </xref> <xref ref-type="bibr" rid="scirp.147124-31">
      [31]
     </xref>.</p>
    <p>
     <xref ref-type="bibr" rid="scirp.147124-"></xref>Public datasets report exposure (outages, storm events), but Illinois does not publicly report cause-coded statewide aggregates linking those exposures to dose-level outcomes (e.g., excursion counts or doses affected) <xref ref-type="bibr" rid="scirp.147124-9">
      [9]
     </xref> <xref ref-type="bibr" rid="scirp.147124-13">
      [13]
     </xref> <xref ref-type="bibr" rid="scirp.147124-14">
      [14]
     </xref> <xref ref-type="bibr" rid="scirp.147124-30">
      [30]
     </xref> <xref ref-type="bibr" rid="scirp.147124-31">
      [31]
     </xref>. As a result, stakeholders outside the VFC program (e.g., researchers, partner organizations, funders) cannot independently identify hotspots, perform cross-jurisdiction comparisons or assess equity impacts; this observation concerns public reporting data only and does not address internal analytic capacity. We also do not assert whether CDC or state VFC programs maintain such data in nonpublic systems; our point is the lack of publicly accessible, cause-coded statewide data in the sources reviewed.</p>
    <p>Standard VFC program measures such as backup power, strategic stock, alternate routing, and vaccine incident report protocols, among others, are consistently described in CDC and IDPH guidance <xref ref-type="bibr" rid="scirp.147124-9">
      [9]
     </xref> <xref ref-type="bibr" rid="scirp.147124-13">
      [13]
     </xref>. In practice, performance varies by resources and site capacity <xref ref-type="bibr" rid="scirp.147124-9">
      [9]
     </xref> <xref ref-type="bibr" rid="scirp.147124-13">
      [13]
     </xref>. During the mid-February 2021 weather-related delays, Illinois drew on strategic stock to buffer operations, highlighting stockpiles’ value; however, stockpiles complement rather than replace measures that prevent storage unit excursions during power outages <xref ref-type="bibr" rid="scirp.147124-9">
      [9]
     </xref> <xref ref-type="bibr" rid="scirp.147124-28">
      [28]
     </xref>. In the publicly accessible materials we reviewed, we did not find statewide evaluations that quantify the performance of these measures, e.g., coverage (share of enrolled providers with continuous digital monitoring, connectivity-resilient reporting, and approved backup storage/transfer plans), timeliness (time to detect/respond to excursions and to restore safe storage or redistribute vaccine), and equity (whether rural/high-outage and other underserved areas achieve comparable protection and support). The absence of publicly accessible statewide evaluation data has direct implications for equity in Illinois. Likewise, cause-coded statewide aggregates that link weather or power-related exposures to vaccine cold-chain incidents are not publicly disseminated, obscuring whether risks are concentrated in settings with known constraints. County-level outage datasets document recurrent short interruptions across Illinois, while utility-level averages especially in northern Illinois (ComEd) appear strong; statewide indicators can mask locality-specific risks relevant to vaccine storage <xref ref-type="bibr" rid="scirp.147124-30">
      [30]
     </xref>-<xref ref-type="bibr" rid="scirp.147124-32">
      [32]
     </xref>. In such settings, smaller clinics and local health departments may lack backup power, continuous monitoring, or rapid response capacity, making them more vulnerable to storage failures during outages <xref ref-type="bibr" rid="scirp.147124-21">
      [21]
     </xref> <xref ref-type="bibr" rid="scirp.147124-23">
      [23]
     </xref>. Thus, without publicly accessible cause-coded statewide data, these uneven risks remain invisible in aggregate reporting, obscuring whether rural or high-outage communities experience disproportionate cold-chain incidents. Consequently, statewide planning may inadvertently overrepresent well-resourced areas while underestimating vulnerabilities in cold-chain resilience and response capacity among communities where weather instability, power unreliability, and limited infrastructure intersect.</p>
    <p>This distinction is important because the observation concerns public visibility rather than internal analytic capacity. Publicly accessible, cause-coded statewide data would enable stakeholders outside the VFC program, including researchers, potential partners, and funders, to align preparedness activities with documented exposures (e.g., power outages and storm datasets) and to assess equity, such as whether rural or high-outage areas maintain comparable protection over time. Without such aggregates, an apparent absence of temperature excursions remains ambiguous; it could reflect genuinely low risk or limited detection and reporting, and external analysts cannot distinguish between the two or compare trends across jurisdictions. This observation pertains solely to public reporting and does not address internal IDPH analytics <xref ref-type="bibr" rid="scirp.147124-9">
      [9]
     </xref> <xref ref-type="bibr" rid="scirp.147124-11">
      [11]
     </xref>-<xref ref-type="bibr" rid="scirp.147124-14">
      [14]
     </xref> <xref ref-type="bibr" rid="scirp.147124-30">
      [30]
     </xref> <xref ref-type="bibr" rid="scirp.147124-31">
      [31]
     </xref>.</p>
    <p>AI-enabled monitoring, cloud connectivity, and pre-threshold/predictive alerting are described in vendor/trade sources and reviews <xref ref-type="bibr" rid="scirp.147124-34">
      [34]
     </xref>-<xref ref-type="bibr" rid="scirp.147124-36">
      [36]
     </xref>, aligning with peer-reviewed guidance favoring robust digital monitoring <xref ref-type="bibr" rid="scirp.147124-37">
      [37]
     </xref>. In the materials we reviewed, we did not identify peer-reviewed evaluations or publicly accessible Illinois program documentation demonstrating provider deployment of predictive alerts or weather-linked temperature excursion prediction. We also did not identify systems in this set that integrate weather/grid forecasts directly with unit-level risk capabilities proposed in industry sources as important as climate risks evolve <xref ref-type="bibr" rid="scirp.147124-34">
      [34]
     </xref> <xref ref-type="bibr" rid="scirp.147124-36">
      [36]
     </xref>. However, these emerging technologies should be independently validated in peer-reviewed programmatic or public health settings before widespread adoption or integration into vaccine cold-chain systems can be recommended.</p>
   </sec>
   <sec id="s5_3">
    <title>
     <xref ref-type="bibr" rid="scirp.147124-"></xref>5.3. Limitations of This Review</title>
    <p>This is a scoping review designed to map the extent and nature of evidence, not to appraise study quality or estimate effect sizes <xref ref-type="bibr" rid="scirp.147124-38">
      [38]
     </xref> <xref ref-type="bibr" rid="scirp.147124-39">
      [39]
     </xref>. Screening and extraction relied on publicly accessible materials; some relevant internal or proprietary data (e.g., distributor in-transit telemetry) were outside scope. Screening and extraction were conducted by a single reviewer, which may miss eligible items despite structured methods (see Methods §3). As such, findings emphasize documented exposures and protocols over publicly aggregated outcomes (dose-level impacts).</p>
   </sec>
   <sec id="s5_4">
    <title>
     <xref ref-type="bibr" rid="scirp.147124-"></xref>5.4. Implications for Practice, Policy, and Data in Illinois</title>
    <p>Given that common pharmaceutical refrigerators can exceed 8˚C within ~45 - 140 minutes of power loss <xref ref-type="bibr" rid="scirp.147124-23">
      [23]
     </xref> and that publicly reported outages often last on the order of hours, even where utility averages look strong <xref ref-type="bibr" rid="scirp.147124-29">
      [29]
     </xref>-<xref ref-type="bibr" rid="scirp.147124-31">
      [31]
     </xref>, planning in Illinois may be better calibrated to plausible local outage windows rather than system-wide averages. In practice (and consistent with CDC/IDPH guidance), this points to maintaining continuous digital monitoring, connectivity-resilient reporting, and rapid procedures for moving vaccines to approved backup storage or redistribution <xref ref-type="bibr" rid="scirp.147124-9">
      [9]
     </xref> <xref ref-type="bibr" rid="scirp.147124-13">
      [13]
     </xref>. At the state/program level, publicly accessible, cause-coded statewide data (excursions and doses affected attributed to weather/power vs other causes) could support cross-jurisdiction learning and help external stakeholders assess patterns as climate risks evolve. We do not take a position on whether CDC or the state should publish such data; we note only that such outputs were not identified in the public sources reviewed, and this statement pertains to public reporting and does not address internal analytic capacity <xref ref-type="bibr" rid="scirp.147124-9">
      [9]
     </xref> <xref ref-type="bibr" rid="scirp.147124-13">
      [13]
     </xref> <xref ref-type="bibr" rid="scirp.147124-14">
      [14]
     </xref> <xref ref-type="bibr" rid="scirp.147124-26">
      [26]
     </xref> <xref ref-type="bibr" rid="scirp.147124-27">
      [27]
     </xref> <xref ref-type="bibr" rid="scirp.147124-30">
      [30]
     </xref> <xref ref-type="bibr" rid="scirp.147124-31">
      [31]
     </xref>.</p>
   </sec>
  </sec><sec id="s6">
   <title>
    <xref ref-type="bibr" rid="scirp.147124-"></xref>6. Conclusions</title>
   <p>Severe weather and associated power outages pose persistent, well-documented risks to vaccine cold-chain integrity in the United States, including Illinois. Bench data show common pharmaceutical refrigerators can exceed 8˚C within ~45 - 140 minutes of power loss, while publicly reported power outages frequently extend beyond that window; Illinois also experienced weather-related shipping delays in February 2021. Within Illinois, strengths such as high MMR coverage and well-established vaccine incident reporting protocols sit alongside vulnerabilities in settings with less reliable power or backup capacity. Across the publicly accessible sources we reviewed, we did not identify cause-coded, statewide aggregated data linking weather/power exposures to dose-level outcomes (e.g., excursion counts, doses affected); this limits external visibility into patterns and equity, without speaking to internal analytic capacity.</p>
   <p>Current guidance emphasizes continuous digital monitoring, connectivity-resilient reporting, and rapid procedures for moving vaccines to approved backup storage or redistribution. Vendor/trade sources describe pre-threshold (“predictive”) alerts and expanded in-transit visibility, but we did not find peer-reviewed evaluations or publicly accessible Illinois program documentation showing provider deployment of predictive alerts or weather-linked excursion prediction. In light of short warming intervals and observed outage exposures, preparedness planning in Illinois is best calibrated to plausible local outage windows rather than system-wide averages, consistent with CDC/IDPH guidance.</p>
   <p>Looking ahead, three priority evidence needs emerge from this review. First, publicly accessible, cause-coded statewide aggregated data (temperature excursions and doses affected attributed to weather/power vs. other causes) would reduce ambiguity between “no events” and “no detection” and enable cross-jurisdiction learning. Second, statewide performance descriptions using clear, public metrics, coverage (e.g., share of enrolled providers with continuous monitoring, connectivity-resilient reporting, approved backup storage/transfer plans), timeliness (e.g., time to detect/respond and to restore safe storage or redistribute vaccine), and equity (e.g., outcomes in rural/high-outage areas), would allow external stakeholders to assess progress over time. Third, contextual evaluations of emerging monitoring tools in Illinois settings, including feasibility, costs, and any integration of weather/grid forecasts with storage unit-level risk, would clarify what adds value in practice. These are not prescriptions; they follow directly from the gaps identified in publicly accessible sources and align with the paper’s focus on weather-related risk to vaccine viability.</p>
  </sec>
 </body><back>
  <ref-list>
   <title>References</title>
   <ref id="scirp.147124-ref1">
    <label>1</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Carter, A., Msemburi, W., Sim, S.Y., Gaythorpe, K.A.M., Lambach, P., Lindstrand, A., et al. (2024) Modeling the Impact of Vaccination for the Immunization Agenda 2030: Deaths Averted Due to Vaccination against 14 Pathogens in 194 Countries from 2021 to 2030. Vaccine, 42, S28-S37. &gt;https://doi.org/10.1016/j.vaccine.2023.07.033
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref2">
    <label>2</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Shattock, A.J., Johnson, H.C., Sim, S.Y., Carter, A., Lambach, P., Hutubessy, R.C.W., et al. (2024) Contribution of Vaccination to Improved Survival and Health: Modelling 50 Years of the Expanded Programme on Immunization. The Lancet, 403, 2307-2316. &gt;https://doi.org/10.1016/s0140-6736(24)00850-x
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref3">
    <label>3</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Orenstein, W.A. (2006) The Role of Measles Elimination in Development of a National Immunization Program. The Pediatric Infectious Disease Journal, 25, 1093-1101. &gt;https://doi.org/10.1097/01.inf.0000246840.13477.28
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref4">
    <label>4</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Zhou, F., Jatlaoui, T.C., Leidner, A.J., Carter, R.J., Dong, X., Santoli, J.M., et al. (2024) Health and Economic Benefits of Routine Childhood Immunizations in the Era of the Vaccines for Children Program—United States, 1994-2023. MMWR. Morbidity and Mortality Weekly Report, 73, 682-685. &gt;https://doi.org/10.15585/mmwr.mm7331a2
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref5">
    <label>5</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Illinois Department of Public Health (2025) History of Measles in Illinois. &gt;https://dph.illinois.gov/topics-services/diseases-and-conditions/measles/history-of-measles-in-illinois.html 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref6">
    <label>6</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Centers for Disease Control and Prevention (2025) Measles (Rubeola). &gt;https://www.cdc.gov/measles/data-research/index.html 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref7">
    <label>7</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Illinois Department of Public Health (2025) IDPH Reports Measles Cases in Illinois-No Ongoing Risk to the General Public. &gt;https://dph.illinois.gov/resource-center/news/2025/may/release-20250505.html 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref8">
    <label>8</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Illinois Department of Public Health (2025) IDPH Highlights 2024-2025 School Vaccination Coverage Data. &gt;https://dph.illinois.gov/resource-center/news/2025/april/release-20250414.html 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref9">
    <label>9</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Centers for Disease Control and Prevention (2024) Vaccine Storage and Handling Toolkit (March 2024 Update). &gt;https://www.cdc.gov/vaccines/hcp/downloads/storage-handling-toolkit.pdf 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref10">
    <label>10</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     The Nature Conservancy (2021) Climate Change in Illinois: 2021 Climate Assessment. &gt;https://www.nature.org/content/dam/tnc/nature/en/documents/IL_Climate_Assessment_2021.pdf 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref11">
    <label>11</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hayhoe, K., VanDorn, J., Naik, V. and Wuebbles, D. (2019) Climate Change in the Midwest: Impacts on Our Communities and Ecosystems. Union of Concerned Scientists. &gt;https://www.ucs.org/sites/default/files/2019-09/midwest-climate-impacts.pdf 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref12">
    <label>12</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     U.S. Environmental Protection Agency (2016) What Climate Change Means for Illinois. &gt;https://19january2017snapshot.epa.gov/sites/production/files/2016-09/documents/climate-change-il.pdf 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref13">
    <label>13</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Illinois Department of Public Health (2020) Vaccines for Children (VFC) Program Manual for Illinois VFC Providers. &gt;https://www.dph.illinois.gov/content/dam/soi/en/web/idph/files/publications/20200207-il-vfc-provider-manual.pdf 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref14">
    <label>14</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Federal Emergency Management Agency (2025) Disaster Declarations Summaries v2 (OpenFEMA Dataset). &gt;https://www.fema.gov/openfema-data-page/disaster-declarations-summaries-v2 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref15">
    <label>15</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     McKesson (2020) Demystifying the Cold Chain. &gt;https://www.mckesson.com/stories-insights/demystifying-the-cold-chain/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref16">
    <label>16</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Pambudi, N.A., Sarifudin, A., Gandidi, I.M. and Romadhon, R. (2022) Vaccine Cold Chain Management and Cold Storage Technology to Address the Challenges of Vaccination Programs. Energy Reports, 8, 955-972. &gt;https://doi.org/10.1016/j.egyr.2021.12.039
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref17">
    <label>17</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ng, C.Z., Lean, Y.L., Yeoh, S.F., Lean, Q.Y., Lee, K.S., Suleiman, A.K., et al. (2020) Cold Chain Time-and Temperature-Controlled Transport of Vaccines: A Simulated Experimental Study. Clinical and Experimental Vaccine Research, 9, 8-14. &gt;https://doi.org/10.7774/cevr.2020.9.1.8
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref18">
    <label>18</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lazarus, J.V., Abdool Karim, S.S., van Selm, L., Doran, J., Batista, C., Ben Amor, Y., et al. (2022) COVID-19 Vaccine Wastage in the Midst of Vaccine Inequity: Causes, Types and Practical Steps. BMJ Global Health, 7, e009010. &gt;https://doi.org/10.1136/bmjgh-2022-009010
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref19">
    <label>19</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Centers for Disease Control and Prevention (2023) COVID-19 Vaccination Provider Requirements and Support. &gt;https://www.cdc.gov/vaccines/covid-19/vaccination-provider-support.html 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref20">
    <label>20</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Rodrigues, C.M.C. and Plotkin, S.A. (2020) Impact of Vaccines; Health, Economic and Social Perspectives. Frontiers in Microbiology, 11, Article 1526. &gt;https://doi.org/10.3389/fmicb.2020.01526
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref21">
    <label>21</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     McColloster, P. and Vallbona, C. (2011) Graphic-output Temperature Data Loggers for Monitoring Vaccine Refrigeration: Implications for Pertussis. American Journal of Public Health, 101, 46-47. &gt;https://doi.org/10.2105/ajph.2009.179853
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref22">
    <label>22</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     National Oceanic and Atmospheric Administration (NOAA) and National Centers for Environmental Information (2025) Storm Events Database. &gt;https://www.ncdc.noaa.gov/stormevents/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref23">
    <label>23</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Chojnacky, M., Miller, W. and Strouse, G. (2010) Thermal Analysis of Refrigeration Systems Used for Vaccine Storage (NISTIR 7753). National Institute of Standards and Technology.
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref24">
    <label>24</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Chojnacky, M.J., Miller, W.W. and Strouse, G.F. (2012) Data Logger Thermometers for Vaccine Temperature Monitoring (NISTIR 7899). National Institute of Standards and Technology. &gt;https://doi.org/10.6028/NIST.IR.7899
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref25">
    <label>25</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     McColloster, P.J. and Martin-de-Nicolas, A. (2014) Vaccine Refrigeration. Human Vaccines &amp; Immunotherapeutics, 10, 1126-1128. &gt;https://doi.org/10.4161/hv.27660
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref26">
    <label>26</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Nirappil, F., Goldstein, A. and Beachum, L. (2021) Winter Storms Delay Distribution of 6 Million Coronavirus Vaccine Doses. The Washington Post. &gt;https://www.washingtonpost.com/health/2021/02/19/vaccines-delayed-winter-storm/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref27">
    <label>27</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     The White House (2021) Press Briefing by White House COVID-19 Response Team and Public Health Officials. White House Archives. &gt;https://bidenwhitehouse.archives.gov/briefing-room/press-briefings/2021/02/19/press-briefing-by-white-house-covid-19-response-team-and-public-health-officials-5/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref28">
    <label>28</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Illinois Department of Public Health (2021) Weather Causing Federal COVID-19 Vaccine Delivery Delays. &gt;https://dph.illinois.gov/resource-center/news/2021/february/weather-causing-federal-vaccine-deliverydelays.html 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref29">
    <label>29</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     U.S. Energy Information Administration (2021) Form EIA-861: Annual Electric Power Industry Report-Reliability Data. U.S. Department of Energy. &gt;https://www.eia.gov/electricity/data/eia861/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref30">
    <label>30</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Cotilla-Sanchez, E., Sun, Y. and Hines, P.D.H. (2022) EAGLE-I: High-Resolution Power Outage Dataset for the Continental U.S. (2014-2022). Oak Ridge National Laboratory. &gt;https://doi.ccs.ornl.gov/dataset/2be78213-ef9e-5433-b1b0-9762d051146c 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref31">
    <label>31</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Chinthavali, S., Myers, A., Tennille, S., Stenvig, N., Lee, M. and Allen-Dumas, M. (2025) EAGLE-I Outage Data 2014-2022. Oak Ridge National Laboratory. &gt;https://smc-datachallenge.ornl.gov/eagle/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref32">
    <label>32</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Exelon (2023) 2022 ComEd Performance: Sustainability and Reliability Snapshot. Exelon Corporation. &gt;https://www.exeloncorp.com/sustainability/interactive-csr/Documents/2022/csr-year-2022-pdf.pdf 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref33">
    <label>33</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     U.S. Department of Veterans Affairs Office of Inspector General (VA OIG) (2024) Evaluation of the May 2023 Power Outage at the Hines Information Technology Center in Illinois. Report No. 23-03063-164. VA OIG. 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref34">
    <label>34</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     MarkEn (2025) AI and IoT: Pioneering the Future of Cold Chain Monitoring. &gt;https://www.markenworld.com/news/ai-and-iot-pioneering-the-future-of-cold-chain-monitoring-2 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref35">
    <label>35</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     PharmaWatch (2025) Environmental Monitoring for Vaccines and Pharmaceuticals. &gt;https://www.pharmawatch.com/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref36">
    <label>36</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Griffen, M. (2022) Predictive Technology Is the Future of Cold Chain. Healthcare Packaging. &gt;https://www.healthcarepackaging.com/logistics/temp-control-cold-chain/article/22379320/the-future-of-cold-chain-in-predictive-technology 
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref37">
    <label>37</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kartoglu, U. and Ames, H. (2022) Ensuring Quality and Integrity of Vaccines Throughout the Cold Chain: The Role of Temperature Monitoring. Expert Review of Vaccines, 21, 799-810. &gt;https://doi.org/10.1080/14760584.2022.2061462
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref38">
    <label>38</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Arksey, H. and O'Malley, L. (2005) Scoping Studies: Towards a Methodological Framework. International Journal of Social Research Methodology, 8, 19-32. &gt;https://doi.org/10.1080/1364557032000119616
    </mixed-citation>
   </ref>
   <ref id="scirp.147124-ref39">
    <label>39</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Tricco, A.C., Lillie, E., Zarin, W., O'Brien, K.K., Colquhoun, H., Levac, D., et al. (2018) PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Annals of Internal Medicine, 169, 467-473. &gt;https://doi.org/10.7326/m18-0850
    </mixed-citation>
   </ref>
  </ref-list>
 </back>
</article>