﻿<?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"><body><sec id="s1"><title>1. Background</title><p>The 2019 Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) broke out in a wet market in Wuhan, Hubei province, China at the end of 2019 (Xiang et al., 2020) [<xref ref-type="bibr" rid="scirp.109183-ref1">1</xref>]. The disease was later declared as a Public Health Emergency of International Concern (PHEIC) by the World Health Organization (WHO) in January 2020 and as a global pandemic in March 2020.</p><p>Kenya confirmed the first case of SARS-CoV-2 on 12 March 2020. A year on, more than 109,643 cases (an equivalent of 2.7% of all African cases) and 1,886 deaths had been reported. As the number of cases continued to soar, experts warned about emergence of variants that could be difficult to manage (WHO, 2021) [<xref ref-type="bibr" rid="scirp.109183-ref2">2</xref>]. The mutating nature of SARS-CoV-2 necessitates stricter adherence to mitigation measures that include isolations and quarantines, handwashing with soap or alcohol-based sanitizers and use of face coverings.</p><p>Although clinical research has provided apposite information about the structure and behavior of the mutating air-borne virus and the widened prospects for the development of an effective vaccine, there is uncertainty on the safety and effectiveness of the vaccines, issues that are largely attributable to ethics, history and conspiracy. Kenya was among other first African countries that received the first batch of AstraZeneca vaccines amid speculation, mainly in Europe, that the vaccine causes blood clots (see Dyer, 2021 [<xref ref-type="bibr" rid="scirp.109183-ref3">3</xref>]; Wise, 2021 [<xref ref-type="bibr" rid="scirp.109183-ref4">4</xref>] ). Outside Africa, studies reveal a sizable proportion in hesitancy for inoculation. This is despite assurances that inoculation benefits far outweigh the risks. Padhi and Al-Mohaithef (2020) [<xref ref-type="bibr" rid="scirp.109183-ref5">5</xref>] have observed that successful inoculation is context-specific and varies with geography and socio-demographics, an issue the article sought to ascertain.</p></sec><sec id="s2"><title>2. Literature Review</title><p>The Health Belief Model (HBM) is used in explaining vaccination behaviour (see Brewer &amp; Fazekas, 2007 [<xref ref-type="bibr" rid="scirp.109183-ref6">6</xref>]; Gerend &amp; Shepherd, 2012 [<xref ref-type="bibr" rid="scirp.109183-ref7">7</xref>]; Vermandere et al., 2016 [<xref ref-type="bibr" rid="scirp.109183-ref8">8</xref>] ). The HBM accounts for the perceived severity, vulnerability and awareness of the benefits; cultural or socio-demographic barriers and characteristics; willingness to get vaccinated and diffusion in the uptake of the vaccine.</p><p>Increasingly, evidence-based medicine (EBM) has been embraced as a new way to standardize clinical care. However, EBM might generate new uncertainties that are attributable to widened leveraging on information technologies and epidemiological models. Since humanity is subject to fear and uncertainty when faced with danger, it can be concluded that EBM does not eliminate the humanitarian values in clinical care. As countries continue to report new variants (e.g. Bugembe et al., 2021 [<xref ref-type="bibr" rid="scirp.109183-ref9">9</xref>]; Yadav et al., 2021 [<xref ref-type="bibr" rid="scirp.109183-ref10">10</xref>] ), more than a dozen vaccines have been developed and approved. The efficacy of many more is being tested. Kazi and Mursheda (2020) [<xref ref-type="bibr" rid="scirp.109183-ref11">11</xref>] have argued that it is through these efforts that the world will attenuate and fully eradicate the disease.</p><p>Development of the much needed vaccine(s) does not translate to people’s acceptance as Seale et al., (2021) [<xref ref-type="bibr" rid="scirp.109183-ref12">12</xref>] have observed who have drawn insights from previous pandemics particularly the 2009 influenza virus pandemic. A meta-analysis on SARS-CoV-2 vaccine acceptance among 33 different studies suggests a worrying level of acceptance in Africa (Sallam, 2021) [<xref ref-type="bibr" rid="scirp.109183-ref13">13</xref>]. As Askarian et al., (2020) [<xref ref-type="bibr" rid="scirp.109183-ref14">14</xref>] have revealed, vaccine refusal is mainly driven by misconceptions about vaccine efficacy and its attendant adverse effects. Insights from the influenza pandemic reveal that gender, marital status, one’s perception of the risk and valuing experts’ recommendation are imperative in increasing the likelihood of inoculation among at risk populations (Malik et al., 2020 [<xref ref-type="bibr" rid="scirp.109183-ref15">15</xref>]; Padhi &amp; Al-Mohaithef, 2020 [<xref ref-type="bibr" rid="scirp.109183-ref5">5</xref>] ).</p><p>Herd immunity is unattainable, if only few people can access the vaccine, no matter the clinical effectiveness of a particular vaccine. Vaccine hesitancy that is characterized by uncertainty and ambivalence about vaccination can be resolved by convincing the general public of the safety, efficacy and necessity of the vaccine (Razai et al., 2021) [<xref ref-type="bibr" rid="scirp.109183-ref16">16</xref>].</p></sec><sec id="s3"><title>3. Methodology</title><p>The study employed a cross-sectional survey, using a quantitative technique to establish the determinants of SARS-CoV-2 vaccine acceptance and uptake in Kenya. An online, self-designed questionnaire of opinion and attitude, which was hosted on Google was used. The questionnaire contained short, simple yet relevant questions on the respondents’ perceptions on the uptake of the SARS-CoV-2 vaccine. Consistency and neutrality in questioning was ensured and no bias or emotional elements were asked. The survey link was shared via email. For ethical purposes, the respondents were auto-directed to the informed consent page and allowed to fill out the form, which remained open for four days between 2<sup>nd</sup> March and 5<sup>th</sup> March, 2021.</p><p>The Cochran formula was used in computation of the sample size. The formula</p><p>is given as: n 0 = Z 2 φ ω e 2 , where: n is the sample size; φ is the estimated population</p><p>with varying socio-demographics; ω is 1 − φ , and e is the desired level of accuracy. However, computation of the adjusted sample size, n, where smaller populations are involved, the formula is assembled by using the equation:</p><p>n = n 0 1 + [ n 0 − 1 ] N , where: n 0 represents the Cochran’s sample; N represents the</p><p>population size. The target population consisted of 470 individuals across the 47 counties in Kenya. By applying the Cochran’s formula (assuming 90% response rate) it follows that:</p><p>n = 423 1 + [ 423 − 1 ] 470 = 222</p>Methodological Assumption<p>For purposes of this study, it is assumed that the Google Form developed, was only shared within Kenya and filled out by respondents of consenting age and of desired attributes. Anonymized data was used for analysis and interpretation. No individual information or data that may lead to identity disclosure was gathered or included in this study.</p></sec><sec id="s4"><title>4. Results and Discussion</title><p>A total of 171 respondents participated in the study. This was an equivalent of 77% of the desired sample size. Out of this number, 60% were male and approximately two-thirds (66%) were aged between 36 - 60 years old. As shown in <xref ref-type="table" rid="table1">Table 1</xref>, the number of respondents who had a degree and post-graduate degree was proportionate, at 68 and 67, respectively.</p><p>Although 98.2% of the respondents were aware of the availability of SARS-CoV-2 vaccine around the world, nearly half (47.3%) reported watching television as their source of information about the pandemic. Other statistics are revealed in <xref ref-type="table" rid="table2">Table 2</xref>.</p><p>Among the participants (n = 170) who responded to the question on willingness to receive the COVID-19 vaccine, only slightly above average (52.4%) were willing to be inoculated. Out of those who were unwilling to be inoculated, the majority alleged concerns on the side effects. A Chi<sup>−</sup> square test revealed only profession of the respondents was significant, X<sup>2</sup> (1, N = 170) = 5.321, p = 0.021) as revealed on <xref ref-type="table" rid="table3">Table 3</xref>.</p><p>Studies reveal that vaccines are needed to attenuate spread of SARS-CoV-2</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Participants’ demographic information</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristic</th><th align="center" valign="middle" >Attribute</th><th align="center" valign="middle" >n (%)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Gender</td><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >103 (60.2%)</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >68 (39.2%)</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Age (years)</td><td align="center" valign="middle" >&lt;36</td><td align="center" valign="middle" >58 (33.9%)</td></tr><tr><td align="center" valign="middle" >36 - 60</td><td align="center" valign="middle" >112 (65.5%)</td></tr><tr><td align="center" valign="middle" >&gt;60</td><td align="center" valign="middle" >1 (0.6%)</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Marital status</td><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >119 (69.6%)</td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >50 (29.2%)</td></tr><tr><td align="center" valign="middle" >Widowed</td><td align="center" valign="middle" >2 (1.2%)</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Religion</td><td align="center" valign="middle" >Christian</td><td align="center" valign="middle" >165 (96.5%)</td></tr><tr><td align="center" valign="middle" >Muslim</td><td align="center" valign="middle" >2 (1.2%)</td></tr><tr><td align="center" valign="middle" >Hindu</td><td align="center" valign="middle" >1 (0.6%)</td></tr><tr><td align="center" valign="middle" >Other</td><td align="center" valign="middle" >3 (1.8%)</td></tr><tr><td align="center" valign="middle"  rowspan="8"  >Level education</td><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >1 (0.6%)</td></tr><tr><td align="center" valign="middle" >Certificate</td><td align="center" valign="middle" >4 (2.4%)</td></tr><tr><td align="center" valign="middle" >Diploma</td><td align="center" valign="middle" >16 (11.8%)</td></tr><tr><td align="center" valign="middle" >Higher Diploma</td><td align="center" valign="middle" >6 (3.5%)</td></tr><tr><td align="center" valign="middle" >Degree</td><td align="center" valign="middle" >68 (39.8%)</td></tr><tr><td align="center" valign="middle" >Post graduate degree</td><td align="center" valign="middle" >67 (39.2%)</td></tr><tr><td align="center" valign="middle" >PhD</td><td align="center" valign="middle" >7 (4.1%)</td></tr><tr><td align="center" valign="middle" >Other</td><td align="center" valign="middle" >1 (0.6%)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Profession</td><td align="center" valign="middle" >Medic</td><td align="center" valign="middle" >69 (40.4%)</td></tr><tr><td align="center" valign="middle" >Non-medic</td><td align="center" valign="middle" >102 (59.6%)</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Source of information of SARS-CoV-2 vaccine</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristic</th><th align="center" valign="middle" ></th><th align="center" valign="middle" >n (%)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Aware of SARS-CoV-2 vaccine</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >168 (98.2)</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >3 (1.8)</td></tr><tr><td align="center" valign="middle"  rowspan="7"  >Source of information (on vaccine availability)</td><td align="center" valign="middle" >Radio</td><td align="center" valign="middle" >10 (5.9)</td></tr><tr><td align="center" valign="middle" >TV</td><td align="center" valign="middle" >80 (47.3)</td></tr><tr><td align="center" valign="middle" >Social Media</td><td align="center" valign="middle" >49 (29.0)</td></tr><tr><td align="center" valign="middle" >Friends</td><td align="center" valign="middle" >4 (2.4)</td></tr><tr><td align="center" valign="middle" >Workplace</td><td align="center" valign="middle" >14 (8.3)</td></tr><tr><td align="center" valign="middle" >Healthcare workers</td><td align="center" valign="middle" >11 (6.5)</td></tr><tr><td align="center" valign="middle" >Other</td><td align="center" valign="middle" >1 (0.6)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Aware that government procured SARS-CoV-2 vaccine</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >168 (98.2)</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >3 (1.8)</td></tr><tr><td align="center" valign="middle"  rowspan="7"  >Source of information on government having procured SARS-CoV-2 vaccine</td><td align="center" valign="middle" >Radio</td><td align="center" valign="middle" >10 (5.8)</td></tr><tr><td align="center" valign="middle" >TV</td><td align="center" valign="middle" >102 (59.6)</td></tr><tr><td align="center" valign="middle" >Social Media</td><td align="center" valign="middle" >37 (21.6)</td></tr><tr><td align="center" valign="middle" >Friends</td><td align="center" valign="middle" >4 (2.3)</td></tr><tr><td align="center" valign="middle" >Workplace</td><td align="center" valign="middle" >7 (4.1)</td></tr><tr><td align="center" valign="middle" >Healthcare workers</td><td align="center" valign="middle" >10 (5.8)</td></tr><tr><td align="center" valign="middle" >Other</td><td align="center" valign="middle" >1 (0.6)</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Chi-square test results</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristic</th><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="2"  >Willingness to accept the vaccine (%)</th><th align="center" valign="middle"  rowspan="2"  >p</th><th align="center" valign="middle"  rowspan="2"  >X<sup>2</sup></th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >No</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Gender</td><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >58.3</td><td align="center" valign="middle" >41.7</td><td align="center" valign="middle" >0.80</td><td align="center" valign="middle" >3.071</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >43.3</td><td align="center" valign="middle" >56.7</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Age</td><td align="center" valign="middle" >&lt;36 years</td><td align="center" valign="middle" >44.8</td><td align="center" valign="middle" >55.2</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >36 - 60 years</td><td align="center" valign="middle" >56.8</td><td align="center" valign="middle" >43.2</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;60 years</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Profession</td><td align="center" valign="middle" >Medic</td><td align="center" valign="middle" >63.8</td><td align="center" valign="middle" >36.2</td><td align="center" valign="middle" >0.021</td><td align="center" valign="middle" >5.321</td></tr><tr><td align="center" valign="middle" >Non-medic</td><td align="center" valign="middle" >44.6</td><td align="center" valign="middle" >55.4</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Aware of the availability of SARS-CoV-2 vaccine</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >53.3</td><td align="center" valign="middle" >46.7</td><td align="center" valign="middle" >0.212</td><td align="center" valign="middle" >1.559</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Aware of government having procured vaccine</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >52.7</td><td align="center" valign="middle" >47.3</td><td align="center" valign="middle" >0.93</td><td align="center" valign="middle" >0.007</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >33.3</td><td align="center" valign="middle" >66.7</td><td align="center" valign="middle" >0.366</td><td align="center" valign="middle" >2.010</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Marital Status</td><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >55.9</td><td align="center" valign="middle" >44.1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >44.0</td><td align="center" valign="middle" >56.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Widowed</td><td align="center" valign="middle" >50.0</td><td align="center" valign="middle" >50.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>(Malik et al., 2020). The study findings reveal more women than men unwilling to be inoculated. This necessitates development of strategies that are aimed at addressing vaccine scepticism and ensure its success along occupation and gender lines.</p></sec><sec id="s5"><title>5. Conclusions and Recommendations</title><sec id="s5_1"><title>5.1. Conclusions</title><p>New variants of SARS-CoV-2 could proliferate the number of confirmed cases in Kenya. While information sharing about the spread of the disease can strengthen update of mitigation measures, there is uncertainty on the safety of the vaccine(s). Majority of Kenyans get critical information about SARS-CoV-2 mainly on television or social media. If medical specialists, who have a higher acceptance index could take their jabs on television, it can go a long way in deepening acceptance among the general public. The medical specialists should hold television and socio-media campaigns to dispel the wrong narrative about the potential side effects of being inoculated for the benefits far outweigh any potential side effects, on a global scale.</p></sec><sec id="s5_2"><title>5.2. Recommendations</title><p>The study finding revealed that unfounded fear about the potential side effects of the vaccines alongside safety and misinformation were leading drivers attributable to the low scale of acceptance of the vaccine(s) among the general public. To turn around this perception, the Ministry of Health should encourage public sensitization and education about the vaccine through available channels, mainly TV and social media. Lastly, given that men are more likely to be inoculated that women, a gendered approach to reverse vaccine scepticism is needed.</p></sec><sec id="s5_3"><title>5.3. Limitation of the Study</title><p>The online survey, which was used in the study is not without its own limitations. It tends to exclude uneducated majority of the general public.</p><p>The perceived uncertainties around the SARS-CoV-2 vaccine uptake were restricted to the AstraZeneca vaccine. Plausibly, had respondents been presented with an array of vaccine brands that would have provided choice among users leading to overly different results. Perhaps, continued monitoring of trends on uptake could have provided meaningful insights on behavioural change over time. Beyond the assurance given by the government (and the manufacturer) on the safety of the vaccines, no experiment was carried out to bolster or weaken the assurances.</p></sec></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Ocholla, B.A., Nyangena, O., Murayi, H.K., Mwangi, J.W., Belle, S.K., Ondeko, P. and Kendagor, R. 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