<?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">OJVM</journal-id><journal-title-group><journal-title>Open Journal of Veterinary Medicine</journal-title></journal-title-group><issn pub-type="epub">2165-3356</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojvm.2018.812019</article-id><article-id pub-id-type="publisher-id">OJVM-89051</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Factors Associated with a Low Veterinary Regulatory Compliance in Uganda, Their Impact and Quality Management Approaches to Improve Performance
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wanderema</surname><given-names>S. N. Wesonga</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bosco</surname><given-names>Madasi</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>Esther</surname><given-names>Nambo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Government Technical Team (GTT) on Resettlement of Pastoralists in Mid-Western Region, Kasese, Uganda</addr-line></aff><aff id="aff1"><addr-line>Department of Animal Health, Ministry of Agriculture Animal Industry and Fisheries, Entebbe, Uganda</addr-line></aff><pub-date pub-type="epub"><day>07</day><month>12</month><year>2018</year></pub-date><volume>08</volume><issue>12</issue><fpage>207</fpage><lpage>231</lpage><history><date date-type="received"><day>14,</day>	<month>April</month>	<year>2018</year></date><date date-type="rev-recd"><day>3,</day>	<month>December</month>	<year>2018</year>	</date><date date-type="accepted"><day>10,</day>	<month>December</month>	<year>2018</year></date></history><permissions><copyright-statement>&#169; 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><p>
 
 
  Organized veterinary services in Uganda were established in year 1908 and successfully controlled animal diseases nationally through a centralized chain of veterinary command. Such services were of public good, mandatory by regulations and also referred to as the “veterinary regulatory services”. However, from 1993; policy reforms were introduced coincidentally at the same time with a national animal health passive surveillance system. Despite reforms, continued losses in livestock were observed necessitating a longitudinal survey based on the above surveillance system. Study findings were to serve as an indicator of performance for the reforms as regards animal disease control. Overall aim of the study was to: Confirm the assumed increase of disease after reforms; identify predisposing factors; gauge their impact and make recommendations to improve service delivery. Results confirmed that: Local government veterinary personnel reduced by 90.61% after the first year of decentralization; national animal health report submissions reduced from average of 81% to only 47.06% with a correlation or association of negative (-) 27.3% albeit at p-value &gt; 0.05. Further, correlation at p-value &lt; 0.05 confirmed that: Contagious and other major animal disease cases increased by 46.1%; roundworm infestation in pigs increased by 69.4%; field animal vaccine availability decreased by (-) 64.3% with time and a positive correlation of 65.3% was confirmed between human deaths and the number of bites by suspected rabid animals. 
  Regression confirmed that with other factors held constant; on average: 69.5% of all Foot and Mouth Disease outbreaks in other areas of the country originated or depended on the same disease found in the cattle corridor while 42.7% human deaths from rabies was attributed to bites from suspected rabid animals. Conclusion was that: Increased animal disease prevalence was primarily attributed to the reform policies but confounded by other veterinary institution internal and external/shock factors. This requires further policy reforms and a review of the national animal health passive surveillance system by all stakeholders to be done through and implemented by an efficient quality management system which is: staff-management-client focused.
 
</p></abstract><kwd-group><kwd>Chain of Veterinary Command</kwd><kwd> Reforms</kwd><kwd> Surveillance</kwd><kwd> Regulations</kwd><kwd> Quality Management</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><sec id="s1_1"><title>1.1. Relationships between Policy and the Delivery of Veterinary Regulatory Services</title><p>Veterinary regulatory services protect the public and animals against: Health disasters or emergencies emanating from animals; ensure animal welfare and food safety; provide law and order in the livestock sector; regulate the veterinary profession and provide a level and fair playing field for livestock related trade. Failure to comply with the regulatory requirements leads to: Administrative sanctions such as imposing of animal movement controls and withdraw of inspections by the Chief Veterinary Officer (CVO) or penalties such as fines, jail and forfeiture of animal goods to the state through Courts of Laws [<xref ref-type="bibr" rid="scirp.89051-ref1">1</xref>] - [<xref ref-type="bibr" rid="scirp.89051-ref11">11</xref>] . The public good and mandatory nature of these services is historical since formal veterinary services were setup in the country in year 1908. Since then; the CVO whose title later changed to that of the Director Veterinary Services of the Protectorate for almost a century routinely used a centrally controlled chain of veterinary command for efficient compliance by stakeholders as regards animal disease control. This pre-reform stance ensured: prompt reporting of animal disease outbreaks from the field; immediate follow-up investigations and final diagnosis; carefully organized quarantine enforcement measures and prompt inoculations/vaccinations to suppress outbreaks of major diseases such as Rinderpest plague and Contagious Bovine Pleuro-Pneumonia. Such consistent regulatory stance led to only slight losses in livestock by 1926 and even by 1941 during World War II period which was noted for its population displacement; the veterinary services facilitated livestock trade bringing economic benefits to all in the country. This strategy up to the national independence of 1962 saw stability in animal health and animal production leading to eventual processing/canning of meat in Eastern Uganda at Soroti and accessing the international meat markets by late 1960s. Later with the need to change the delivery of veterinary services as was a national requirement for the various sectors due to economic hardships; main civil service reforms were introduced in the country from 1993-1997. Despite the reforms; it was however, later observed that the country faced about 70% in non-compliance with the veterinary regulations and that it had an estimated loss of 86.3 Million US$ in the livestock sector annually attributed to disease [<xref ref-type="bibr" rid="scirp.89051-ref12">12</xref>] .</p><p>For purposes of fulfilling their mandates, each organization or institution such as the national veterinary services requires: Short; medium and or long term policy frameworks. Policy frameworks include: Policies themselves; strategies to achieve the policies; laws and their: orders; rules; regulations; standards and procedures to enable mandatory compliance by the various livestock value chain stakeholders. When civil sector reforms and restructuring were introduced in Uganda: they were expected to use the scarce human; financial and time resources to enable efficient and quality oriented delivery of mandatory veterinary regulatory services. Just around the beginning of these reforms from 1993, a national animal health passive surveillance system was coincidentally also put in place. This was to: enable the systematic collection - reporting - collation - storage - retrieval - analysis - recommendation making - feedbacks to stakeholders and taking actions on animal disease threats in the whole country. Such a system would also be used passively in monitoring performance of animal health and production related projects or programs in the country by virtue of its functions and capacities. The coincidence of this system and its multi-functional capacity provided a scientific basis for its use in evaluation of performance of the reforms in animal health thus enabling this study.</p></sec><sec id="s1_2"><title>1.2. The Problem</title><p>Despite civil sector policy and structural reforms especially from 1993-1997 as related to the delivery of veterinary regulatory services; there was continued observance of losses in the livestock sector per year attributed to disease. This required a study to verify such observances and recommend efficient strategies to address the problem.</p></sec></sec><sec id="s2"><title>2. Literature Review</title><sec id="s2_1"><title>2.1. Policy and Structural Reforms in the Delivery of Veterinary Regulatory Services</title><p>In recent past, many African countries underwent structural adjustment that often effectively dismantled services through decentralization thus sacrificing the chain of veterinary command required for quick response to disease emergencies and efficient reporting of outbreaks [<xref ref-type="bibr" rid="scirp.89051-ref13">13</xref>] . Such economic structural adjustment programs (reforms) have tended in several country cases to weaken the administrative, legal and financial capacity that are needed for dealing with (control of) major animal diseases [<xref ref-type="bibr" rid="scirp.89051-ref14">14</xref>] . Furthermore: while developed countries have advanced in veterinary science; use of sophisticated veterinary service infrastructure and use of area wide disease eradication and prevention measures―the situation in developing countries is different [<xref ref-type="bibr" rid="scirp.89051-ref15">15</xref>] . Such a weakened status requires the strengthening of state veterinary units to respond to regulatory responsibilities made mandatory by national laws and international standards on animal health [<xref ref-type="bibr" rid="scirp.89051-ref16">16</xref>] . Related; Uganda in 1987 started an economic recovery program which from 1990 resulted in structural reforms that liberalized agricultural input and output markets; trade and investment with year 1997 seeing enactment of the Local Government Act [<xref ref-type="bibr" rid="scirp.89051-ref17">17</xref>] . These actions and enactment of the Local Government Act legally decentralized the delivery of veterinary extension services away from the direct central chain of veterinary command of the CVO.</p><p>Reforms such as decentralization led to: political and legislative empowerment of the people; fiscal devolution and control of administrative machinery by the local councils with potential advantages and serious challenges [<xref ref-type="bibr" rid="scirp.89051-ref18">18</xref>] . Related, while it further reduced the central overload and duplication of work; decentralization for veterinary services however, also reduced central government’s regulatory and supervisory roles that is essential in animal disease control [<xref ref-type="bibr" rid="scirp.89051-ref19">19</xref>] . While Uganda achieved impressive economic growth and poverty reduction (related to reforms) over the past two decades; it declined in relative importance of agriculture (including livestock) with limited structural transformation of the economy [<xref ref-type="bibr" rid="scirp.89051-ref20">20</xref>] . Related to this decline as one looks at the challenges from the reforms since 1993; more specific policies to promote agricultural production including livestock largely failed while the National Agricultural Advisory Services success also remained contested since they were seen as being weak and expensive [<xref ref-type="bibr" rid="scirp.89051-ref21">21</xref>] . The National Agricultural Advisory Services Program from 2001 initially considered as a role model for demand-driven, decentralized and market-oriented agricultural extension reform in Africa despite adequate resources available had limited success [<xref ref-type="bibr" rid="scirp.89051-ref22">22</xref>] . It has thus been noted that; decentralization has not and will not necessarily lead to better outcomes due to the highly variable environment exampled by several decentralization and recentralization efforts made of the Forestry Department Uganda [<xref ref-type="bibr" rid="scirp.89051-ref23">23</xref>] .</p></sec><sec id="s2_2"><title>2.2. Animal Health Surveillance in the Delivery of Veterinary Regulatory Services</title><p>It has been noted that animal health surveillance is an essential tool for: the detection of animal disease or infections; monitoring disease trends and for facilitating the control of disease or infection [<xref ref-type="bibr" rid="scirp.89051-ref24">24</xref>] . Thus even in historical times as part of animal disease surveillance; organized veterinary services since 1908 in Uganda were devoted to the control of Rinderpest and Contagious Bovine Pleuro Pneumonia epidemics among others earlier supervised by the CVO Kenya [<xref ref-type="bibr" rid="scirp.89051-ref25">25</xref>] . In further support to the importance of animal health surveillance and efficiency of related programs: it was noted in Africa during Rinderpest plague control by Joint Program (JP) 15 from 1962 that while the disease significantly decreased however, resurgence later recurred due to inadequate national follow-up [<xref ref-type="bibr" rid="scirp.89051-ref26">26</xref>] . Related to the importance of surveillance; it has been observed in Uganda that FMD occurs more frequently: in dry season; near wild life reserves; near international borders; is related to animal movements and is introduced by infected animals [<xref ref-type="bibr" rid="scirp.89051-ref27">27</xref>] . Using a related passive surveillance system in the sister health sector; it was possible to estimate mortality of human patients from rabies due to animal bites at national level but requiring active surveillance to improve the mortality rates [<xref ref-type="bibr" rid="scirp.89051-ref28">28</xref>] . This highlights the importance and challenges of passive surveillance. With the continued high threats of animal diseases to economic progress in Africa; surveillance has become an essential tool for early disease detection and rapid response [<xref ref-type="bibr" rid="scirp.89051-ref29">29</xref>] . However; components (used) in a surveillance system must be justified since―a costly and extensive surveillance system may cause more harm than good [<xref ref-type="bibr" rid="scirp.89051-ref30">30</xref>] . Because of such a scenario―in Africa, alternative cheap animal health (surveillance) information may be got from various stakeholders along the livestock value chain [<xref ref-type="bibr" rid="scirp.89051-ref31">31</xref>] .</p><p>Uganda’s national animal health passive surveillance system used in this study also reported and monitored veterinary drug availability and their use in the field at extension level. Reforms in the country led to veterinary drug supply chain: liberalization - divestiture and privatization leaving veterinary services to be directly responsible for only four (now five) animal epidemic disease related vaccines [<xref ref-type="bibr" rid="scirp.89051-ref32">32</xref>] . Despite the reformed national veterinary drug policy whose technical responsibility was given to the veterinary services; the actual physical control and regulatory enforcement of compliance remained by law/regulation under a different sector―the Ministry of Health [<xref ref-type="bibr" rid="scirp.89051-ref9">9</xref>] . On a positive note―reforms in Uganda have increased and improved farmers’ access to veterinary drugs but that quality control should be addressed and government should have a role in stabilizing the escalating prices and the supply gaps [<xref ref-type="bibr" rid="scirp.89051-ref19">19</xref>] .</p></sec><sec id="s2_3"><title>2.3. Governance, Insecurity and Quality Management in the Delivery of Veterinary Regulatory Services</title><p>It has been noted that; good governance is a global public good which is of critical importance to the World Organization for Animal Health (OIE) Member Countries - Uganda inclusive with legislation (regulations) being a key element for its achievement [<xref ref-type="bibr" rid="scirp.89051-ref33">33</xref>] . Policy frameworks including regulations when enforced or complied with lead to good governance. Further; good governance enablesservices that are sustainably: financed; universally available; efficient without waste or duplication; transparent and free of corruption for sustainable economic development [<xref ref-type="bibr" rid="scirp.89051-ref34">34</xref>] . Unfortunately; it has been observed that poor governance has been existing and a major issue in many African countries that can significantly occlude capacity of governments to promote development [<xref ref-type="bibr" rid="scirp.89051-ref35">35</xref>] .</p><p>As a factor affecting governance/transparence and thus service delivery - conflict among others has been viewed as leading to lawlessness, insecurity and disorder in a society. Related; it has been observed that Uganda for more than the last three decades experienced protracted civil conflict in form of: civil war; cattle raiding and armed banditry in the north [<xref ref-type="bibr" rid="scirp.89051-ref36">36</xref>] . Further; it has been noted that the incidence and distribution of rabies disease in Uganda has been influenced directly or indirectly by the different political regimes and thus their styles of governance overtime [<xref ref-type="bibr" rid="scirp.89051-ref37">37</xref>] . Rabies was further linked to insecurity when a high population of stray dogs left behind by displaced people in rural areas of North and Western parts of Uganda which experienced civil strife moved to urban areas requiring dog population control strategies to minimize the disease [<xref ref-type="bibr" rid="scirp.89051-ref38">38</xref>] . Related; an increase in rabies had been noted in man in Sierra Leon in urban areas during civil war due to breakdown in vaccinations and inability to control freely roaming and wondering but owned dog pets [<xref ref-type="bibr" rid="scirp.89051-ref39">39</xref>] . Furthermore, it was observed that the 1994 civil disturbances/conflict in Rwanda saw sudden and heavy migrations of people and livestock followed by widespread outbreaks of major animal diseases such as FMD and Contagious Bovine Pleuro Pneumonia in the Region - Uganda inclusive [<xref ref-type="bibr" rid="scirp.89051-ref14">14</xref>] .</p><p>In regard to good governance; the veterinary authorities have been noted to have a mandate to provide quality services to meet fundamental principles of ethical, organizational, legislative, regulatory and technical nature regardless of the: political; economic or social situation in their country [<xref ref-type="bibr" rid="scirp.89051-ref33">33</xref>] . To offer quality services; the veterinary services are advised to document a quality policy and ensure that it is: understood; maintained and implemented at all levels of organization and where possible to use an appropriate quality management system [<xref ref-type="bibr" rid="scirp.89051-ref40">40</xref>] . However, the term quality as related to the delivery of services may not be well understood by all stakeholders. Related to this gap in understanding of this term―it has been noted that even the quality management issue itself attracts less attention. A related situation of this gap has further been noted in lack of quality management research and with little link to performance [<xref ref-type="bibr" rid="scirp.89051-ref41">41</xref>] . Other than mainly in the food quality and its safety―other areas in livestock have seen little research on quality for even the mandatory/regulatory services offered to stakeholders.</p><p>Quality desires of services for institutions such as the national veterinary services are better managed through specific Quality Management Systems to enable achievement of the goals. On research between relationships/correlation of Quality Management Practices and organizational performance―it has been observed that Quality Management (QM) philosophy known as Employees - Customers - Owners can be used in which when employees are happy; they go a long way to provide world class (good) customer services [<xref ref-type="bibr" rid="scirp.89051-ref42">42</xref>] . This position has also been supported highlighting QM importance in productivity and performance of an organization [<xref ref-type="bibr" rid="scirp.89051-ref43">43</xref>] . Further, a study also indicated that QM may be a source of competitive advantage with top management leadership and supplier management playing a critical part in improving organizational performance [<xref ref-type="bibr" rid="scirp.89051-ref44">44</xref>] . QM practices are related to improvement in organizational services/output/productivity and profitability. Without exception: the delivery of effective; efficient and well governed veterinary regulatory services requires a Quality Management System as advocated by the OIE to enable QM practices [<xref ref-type="bibr" rid="scirp.89051-ref40">40</xref>] .</p></sec><sec id="s2_4"><title>2.4. Different Livestock Production Systems in the Delivery of Veterinary Regulatory Services</title><p>Livestock Production Systems consist of an assembly of related components that combine for some common reason or purpose in which any introduction of change or interference becomes a complex [<xref ref-type="bibr" rid="scirp.89051-ref31">31</xref>] . Related; with the many diverse livestock production systems in the world, Africa inclusive of which some are vulnerable; it would require careful planning for any changes or reforms to be introduced including in animal health. This is so given that the world has an inability to detect; report and control animal disease especially for small livestock holders and pastoralists [<xref ref-type="bibr" rid="scirp.89051-ref45">45</xref>] thus facilitating disease spread and effects. As regards the vulnerable types of livestock production systems in Uganda, it has been noted that Soroti and Kayunga districts which practice small holder mixed farming face challenges in: animal health; water; animal feeds and experience high economic losses in animals [<xref ref-type="bibr" rid="scirp.89051-ref46">46</xref>] . Further to this; it has been observed that pigs which scavenge and are free range fed (not confined) are prone to animal health and food safety compromising infections [<xref ref-type="bibr" rid="scirp.89051-ref47">47</xref>] .</p><p>Economically; it has been observed that livestock offer to the poor farmers an important path-way out of poverty trap using healthy livestock (not sick animals) that provide a rich variety of assets and commodities [<xref ref-type="bibr" rid="scirp.89051-ref48">48</xref>] . Further, the poor livestock farmers can benefit from livestock if the three value chain roadblocks of: vulnerability reduction on animal disease shocks; intensification of farming; increased production and market access are followed [<xref ref-type="bibr" rid="scirp.89051-ref49">49</xref>] . While intensification of livestock production will lead to larger units and increased global trade; it will however, also increase the resurgence of serious animal diseases and public health-related problems [<xref ref-type="bibr" rid="scirp.89051-ref16">16</xref>] .</p></sec><sec id="s2_5"><title>2.5. Globalization of the: Economy; Adverse Climate Changes and Epidemics in the Delivery of Veterinary Regulatory Services</title><p>Globalization manifests itself in: many sectors of the economy leading to increases in worldwide trade and exchanges that includes the livestock sector [<xref ref-type="bibr" rid="scirp.89051-ref50">50</xref>] . Related to globalization; in Uganda - global adverse climatic change has predisposed to more rainfall from December-February than previously, with increasing warming trend that will affect agriculture and livestock thus increasing risks of disease and pest infestations [<xref ref-type="bibr" rid="scirp.89051-ref51">51</xref>] . It has further been noted that: Africa will bear heavier burden in coping with climate change and its far-reaching impacts on food security, health, energy, migration and conflict [<xref ref-type="bibr" rid="scirp.89051-ref52">52</xref>] . This by extrapolation would among others pose: ecological/environmental; animal health; public health; animal welfare; livestock productivity and household farm family poverty risks. In relationship to global eco-system changes and susceptibilities―recent comprehensive literature review identified that 61% of pathogens in man can be transmitted between humans and animals with 75% of the emerging diseases in man being zoonotic/of public health importance [<xref ref-type="bibr" rid="scirp.89051-ref53">53</xref>] . Global: economics, climatic changes and epidemic prevalence do impact the delivery of veterinary regulatory services.</p></sec><sec id="s2_6"><title>2.6. Overall Aim of the Study Work</title><p>It was to: verify the assumed animal disease prevalence increases during the policy reform period; factors responsible; their impact and quality management strategies to improve delivery of the veterinary regulatory services. The overall aim was achieved.</p></sec></sec><sec id="s3"><title>3. Materials and Methods</title><sec id="s3_1"><title>3.1. Research Design</title><p>A longitudinal survey method bringing on board the quantitative and descriptive aspects was used to statistically analyze data from the national animal health passive surveillance system collected continuously for 16 years from all the district of Uganda―with each district identified by name [<xref ref-type="bibr" rid="scirp.89051-ref54">54</xref>] &amp; [<xref ref-type="bibr" rid="scirp.89051-ref55">55</xref>] . This study method and approach was further supported [<xref ref-type="bibr" rid="scirp.89051-ref56">56</xref>] since animal health surveillance information gathered from the same country, zone or compartment at different times may provide cumulative evidence of animal health status that over time may be combined to provide an overall level of confidence when analyzed.</p></sec><sec id="s3_2"><title>3.2. Sample Frame and Size</title><p>A district was used as a sampling frame/strata with an expected representative sample of one animal health report submitted per month using a structured survey tool per district by the District Veterinary Officers (DVOs). This was expected to give 100% sampling per month for the study period under consideration.</p></sec><sec id="s3_3"><title>3.3. Data Accrued</title><p>The primary data used was from the national animal health passive surveillance system obtained through a designed survey tool used in the submission of animal health reports per month by each district in the whole country, while secondary data was from the national animal health active surveillance system and other related animal health information systems.</p></sec><sec id="s3_4"><title>3.4. Data Collection</title><p>Pre-designed and pre-tested structured survey report formats (questionnaires or the survey tool) were used for the collection of data since 1993 but with years 1996 to 1999, 2001 to 2012 (16 years) available in an electronic viable form for retrieval and analysis. Year 2000 was not viable.</p></sec><sec id="s3_5"><title>3.5. Data Analysis</title><p>Two computer based applications we used for analysis. The Micro Soft Excel 2007 to: support the retrieved data; verification; sorting; coding and for specific graphical presentations and the Statistical Package for Social Sciences Version 16 (SPSS V.16) to determine the: descriptive statistics for “animal health” status and trends, relationships/associations (correlation) and impacts of associations (regression) at 95% confidence level or 5% margin of error. Results were presented in form of analytical tables and figures.</p></sec></sec><sec id="s4"><title>4. Results</title><p><xref ref-type="table" rid="table1">Table 1</xref> shows varying yearly mean animal health report submissions from all Districts in the country from year 1996-1999, 2001-2012.</p><p><xref ref-type="fig" rid="fig1">Figure 1</xref> shows varying trends in the animal health report submissions with time</p><p><xref ref-type="fig" rid="fig2">Figure 2</xref> shows a scatter diagram indicative of diminishing or negative mean returns’ trend with time for animal health report submissions.</p><p><xref ref-type="table" rid="table2">Table 2</xref> shows a maximum of 89.732%, a minimum of 12.723% and a mean of only 47.06% for the submission of animal health reports in 16 years with a wide submission standard deviation of 24.41% from the mean obtained. The valid list of years for submissions considered was 16 with details of the years reflected in <xref ref-type="table" rid="table1">Table 1</xref> listwise.</p><p><xref ref-type="table" rid="table3">Table 3</xref> in reference to details in <xref ref-type="table" rid="table1">Table 1</xref> showed a negative (−) but weak Pearson Correlation Co-efficient (correlation or association) of 27.3% albeit at p-value &gt; 0.05 for submission of the animal health reports indicatively decreasing with time at a rate of 27.3% in 16 years. Statistical significance was at p-value &lt; 0.05.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Mean animal health report submissions with time</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Year of submission list wise</th><th align="center" valign="middle" >Number of Districts</th><th align="center" valign="middle" >Submitting Districts</th><th align="center" valign="middle" >Expected submissions</th><th align="center" valign="middle" >Actual submissions</th><th align="center" valign="middle" >Mean submissions per year (%)</th></tr></thead><tr><td align="center" valign="middle" >1996</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >468</td><td align="center" valign="middle" >303</td><td align="center" valign="middle" >64.74358974</td></tr><tr><td align="center" valign="middle" >1997</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >528</td><td align="center" valign="middle" >230</td><td align="center" valign="middle" >43.56060606</td></tr><tr><td align="center" valign="middle" >1998</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >528</td><td align="center" valign="middle" >147</td><td align="center" valign="middle" >27.84090909</td></tr><tr><td align="center" valign="middle" >1999</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >528</td><td align="center" valign="middle" >83</td><td align="center" valign="middle" >15.71969697</td></tr><tr><td align="center" valign="middle" >2001</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >672</td><td align="center" valign="middle" >309</td><td align="center" valign="middle" >45.98214286</td></tr><tr><td align="center" valign="middle" >2002</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" >672</td><td align="center" valign="middle" >543</td><td align="center" valign="middle" >80.80357143</td></tr><tr><td align="center" valign="middle" >2003</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >672</td><td align="center" valign="middle" >603</td><td align="center" valign="middle" >89.73214286</td></tr><tr><td align="center" valign="middle" >2004</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >672</td><td align="center" valign="middle" >558</td><td align="center" valign="middle" >83.03571429</td></tr><tr><td align="center" valign="middle" >2005</td><td align="center" valign="middle" >78</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >936</td><td align="center" valign="middle" >461</td><td align="center" valign="middle" >49.25213675</td></tr><tr><td align="center" valign="middle" >2006</td><td align="center" valign="middle" >86</td><td align="center" valign="middle" >73</td><td align="center" valign="middle" >1032</td><td align="center" valign="middle" >538</td><td align="center" valign="middle" >52.13178295</td></tr><tr><td align="center" valign="middle" >2007</td><td align="center" valign="middle" >86</td><td align="center" valign="middle" >74</td><td align="center" valign="middle" >1032</td><td align="center" valign="middle" >664</td><td align="center" valign="middle" >64.34108527</td></tr><tr><td align="center" valign="middle" >2008</td><td align="center" valign="middle" >86</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >1032</td><td align="center" valign="middle" >287</td><td align="center" valign="middle" >27.81007752</td></tr><tr><td align="center" valign="middle" >2009</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >1200</td><td align="center" valign="middle" >187</td><td align="center" valign="middle" >15.58333333</td></tr><tr><td align="center" valign="middle" >2010</td><td align="center" valign="middle" >112</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >1344</td><td align="center" valign="middle" >171</td><td align="center" valign="middle" >12.72321429</td></tr><tr><td align="center" valign="middle" >2011</td><td align="center" valign="middle" >112</td><td align="center" valign="middle" >87</td><td align="center" valign="middle" >1344</td><td align="center" valign="middle" >596</td><td align="center" valign="middle" >44.3452381</td></tr><tr><td align="center" valign="middle" >2012</td><td align="center" valign="middle" >112</td><td align="center" valign="middle" >77</td><td align="center" valign="middle" >1344</td><td align="center" valign="middle" >476</td><td align="center" valign="middle" >35.41666667</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Descriptive statistics for submission of animal health reports with time</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="9"  >Descriptive Statistics</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  ></td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >Minimum</td><td align="center" valign="middle" >Maximum</td><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >Standard Deviation</td><td align="center" valign="middle" >Variance</td><td align="center" valign="middle" >Skewness</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Statistic</td><td align="center" valign="middle" >Statistic</td><td align="center" valign="middle" >Statistic</td><td align="center" valign="middle" >Statistic</td><td align="center" valign="middle" >Statistic</td><td align="center" valign="middle" >Statistic</td><td align="center" valign="middle" >Statistic</td><td align="center" valign="middle" >Standard Error</td></tr><tr><td align="center" valign="middle" >Level of Submission</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >12.723</td><td align="center" valign="middle" >89.732</td><td align="center" valign="middle" >4.7063E1</td><td align="center" valign="middle" >24.418509</td><td align="center" valign="middle" >596.264</td><td align="center" valign="middle" >0.288</td><td align="center" valign="middle" >0.564</td></tr><tr><td align="center" valign="middle" >Valid N (Listwise)</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Correlation for submission of animal health reports with time</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="4"  >Correlations</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >Year of Submission</td><td align="center" valign="middle" >Level of Submission</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Year of Submission</td><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >−0.273</td></tr><tr><td align="center" valign="middle" >Sig. (2-tailed)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.306</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >16</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Level of Submission</td><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >−0.273</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Sig. (2-tailed)</td><td align="center" valign="middle" >0.306</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >16</td></tr></tbody></table></table-wrap><p><xref ref-type="table" rid="table4">Table 4</xref> shows a fairly positive correlation of 46.1% at p-value &lt; 0.05 between cases of sick animals due to contagious and other major diseases with time. It means that the number of sick animals increased at a rate of 46.1% in 16 years during the period of study.</p><p><xref ref-type="table" rid="table5">Table 5</xref> shows a very strong positive correlation of 83.3% at p-value &lt; 0.05 of FMD outbreak within or in the cattle corridor areas of Uganda in 10 years and its occurrence outside the cattle corridor areas. The cattle corridor in Uganda and beyond is largely semi-arid during the dry season and thus largely inhabited by pastoralists and communal livestock grazing as major livestock production systems.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Correlation for cases of animals sick from contagious and other major diseases with time</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="5"  >Correlations</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >Year of Submission</td><td align="center" valign="middle" >Number of Animals at Risk</td><td align="center" valign="middle" >Number of Animals Sick</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Year of Submission</td><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.630</td><td align="center" valign="middle" >0.461</td></tr><tr><td align="center" valign="middle" >Sig. (1-tailed)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.004</td><td align="center" valign="middle" >0.036</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >16</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Number of Animals at Risk</td><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >0.630</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.738</td></tr><tr><td align="center" valign="middle" >Sig. (1-tailed)</td><td align="center" valign="middle" >0.004</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >16</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Number of Animals Sick</td><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >0.461</td><td align="center" valign="middle" >0.738</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Sig. (1-tailed)</td><td align="center" valign="middle" >0.036</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >16</td></tr></tbody></table></table-wrap><p>*Correlation is significant at the 0.05 level (1-tailed).</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Correlation of FMD outbreaks within the cattle corridor and outside the corridor</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="5"  >Correlations</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >Year of FMD Outbreak</td><td align="center" valign="middle" >Number of FMD Outbreaks in the Cattle Corridor</td><td align="center" valign="middle" >Number of FMD Outbreaks Outside the Cattle Corridor</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Year of FMD Outbreak</td><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.204</td><td align="center" valign="middle" >0.291</td></tr><tr><td align="center" valign="middle" >Sig. (2-tailed)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.572</td><td align="center" valign="middle" >0.415</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >10</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Number of FMD Outbreaks in the Cattle Corridor</td><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >0.204</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.833</td></tr><tr><td align="center" valign="middle" >Sig. (2-tailed)</td><td align="center" valign="middle" >0.572</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.003</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >10</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Number of FMD Outbreaks Outside the Cattle Corridor</td><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >0.291</td><td align="center" valign="middle" >0.833</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Sig. (2-tailed)</td><td align="center" valign="middle" >0.415</td><td align="center" valign="middle" >0.003</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >10</td></tr></tbody></table></table-wrap><p>**Correlation is significant at the 0.05 level (2-tailed).</p><p><xref ref-type="table" rid="table6">Table 6</xref>(a) &amp; <xref ref-type="table" rid="table6">Table 6</xref>(b): show a Regression Co-efficient (regression) of a strong 69.5% at p-value &lt; 0.05 of FMD outbreaks between the cattle corridor and outside the cattle corridor areas. It meaning that with other factors held constant, on average a high 69.5% of all changes/variations or occurrences in FMD outbreaks in areas outside the cattle corridor (a dependent variable) in Uganda are attributed or dependent or originate from FMD outbreaks in the cattle corridor areas (an independent/predictor/constant variable).</p><p><xref ref-type="table" rid="table7">Table 7</xref> shows correlation between human deaths from rabies and the number of bites in man from suspected rabid animals at a fairly strong positive 65.3% at p-value &lt; 0.05. The higher the number of bites by suspected rabid animals, the more deaths from Rabies was reported in man in 15 years.</p><p><xref ref-type="table" rid="table8">Table 8</xref>(a) &amp; <xref ref-type="table" rid="table8">Table 8</xref>(b): show a fair regression of 42.7% at p-value &lt; 0.05 between the number of bites in man from suspected rabid animals and humans deaths from rabies. This means that with other factors held constant, on average: 42.7% of all human deaths or changes in human deaths are dependent on bites from suspected rabid animals.</p><p><xref ref-type="table" rid="table9">Table 9</xref> shows a strong positive correlation of 69.4% at p-value &lt; 0.05 meaning that the roundworm condition increased with time.</p><p><xref ref-type="table" rid="table1">Table 1</xref>0(a) &amp; <xref ref-type="table" rid="table1">Table 1</xref>0(b): show impact of the relationship between roundworm infestation in pigs and time in years with a regression on average of 48.2% at p-value &lt;0.05. This means that with other factors held constant, on average: 48.2% of all observations seen in round worm prevalence at meat inspection in pigs are attributed on the time of submission (years of submission).</p><p><xref ref-type="table" rid="table1">Table 1</xref>1 shows relationship between the issuance of doses of vaccines by</p><table-wrap-group id="6"><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> (a) &amp; (b) Regression of FMD occurrence in the cattle corridor and outside the corridor</title></caption><table-wrap id="6_1"><table><tbody><thead><tr><th align="center" valign="middle"  colspan="5"  >Regression</th></tr></thead><tr><td align="center" valign="middle"  colspan="5"  >Model Summary</td></tr><tr><td align="center" valign="middle" >Model</td><td align="center" valign="middle" >R</td><td align="center" valign="middle" >R Square</td><td align="center" valign="middle" >Adjusted R Square</td><td align="center" valign="middle" >Standard Error of the Estimate</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.833<sup>a</sup></td><td align="center" valign="middle" >0.695</td><td align="center" valign="middle" >0.657</td><td align="center" valign="middle" >2.627</td></tr></tbody></table></table-wrap><table-wrap id="6_2"><table><tbody><thead><tr><th align="center" valign="middle"  colspan="6"  >Coefficients<sup>a</sup></th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Model</td><td align="center" valign="middle"  colspan="2"  >Unstandardized Coefficients</td><td align="center" valign="middle" >Standardized Coefficients</td><td align="center" valign="middle"  rowspan="2"  >t</td><td align="center" valign="middle"  rowspan="2"  >Sig</td></tr><tr><td align="center" valign="middle" >B</td><td align="center" valign="middle" >Standard Error</td><td align="center" valign="middle" >Beta</td></tr><tr><td align="center" valign="middle" >(Constant)</td><td align="center" valign="middle" >1.318</td><td align="center" valign="middle" >1.395</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.945</td><td align="center" valign="middle" >0.373</td></tr><tr><td align="center" valign="middle" >Number of FMD Outbreaks in the cattle Corridor</td><td align="center" valign="middle" >0.352</td><td align="center" valign="middle" >0.082</td><td align="center" valign="middle" >0.833</td><td align="center" valign="middle" >4.267</td><td align="center" valign="middle" >0.003</td></tr></tbody></table></table-wrap></table-wrap-group><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Correlation of the number of bites in man by suspected rabid animals and human deaths from rabies</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="5"  >Correlations</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >Number of suspected cases in animals per year</td><td align="center" valign="middle" >Number of bites by suspected animals per year</td><td align="center" valign="middle" >Number of cases in human (those who died) pear year</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Number of suspected cases in animals per year</td><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.812</td><td align="center" valign="middle" >0.371</td></tr><tr><td align="center" valign="middle" >Sig. (2-tailed)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >0.174</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Number of bites by suspected animals per year</td><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >0.812</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.653</td></tr><tr><td align="center" valign="middle" >Sig. (2-tailed)</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.008</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Number of cases in human (those who died) pear year</td><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >0.371</td><td align="center" valign="middle" >0.653</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Sig. (2-tailed)</td><td align="center" valign="middle" >0.174</td><td align="center" valign="middle" >0.008</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15</td></tr></tbody></table></table-wrap><table-wrap-group id="8"><label><xref ref-type="table" rid="table8">Table 8</xref></label><caption><title> (a) &amp; (b) Regression of the number of bites in man from suspected rabid animals and human deaths from rabies</title></caption><table-wrap id="8_1"><table><tbody><thead><tr><th align="center" valign="middle"  colspan="5"  >Regression</th></tr></thead><tr><td align="center" valign="middle"  colspan="5"  >Model Summary</td></tr><tr><td align="center" valign="middle" >Model</td><td align="center" valign="middle" >R</td><td align="center" valign="middle" >R Square</td><td align="center" valign="middle" >Adjusted R Square</td><td align="center" valign="middle" >Standard Error of the Estimate</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.653a</td><td align="center" valign="middle" >0.427</td><td align="center" valign="middle" >0.383</td><td align="center" valign="middle" >149.285</td></tr></tbody></table></table-wrap><table-wrap id="8_2"><table><tbody><thead><tr><th align="center" valign="middle"  colspan="6"  >Coefficients<sup>a</sup></th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Model</td><td align="center" valign="middle"  colspan="2"  >Unstandardized Coefficients</td><td align="center" valign="middle" >Standardized Coefficients</td><td align="center" valign="middle"  rowspan="2"  >t</td><td align="center" valign="middle"  rowspan="2"  >Sig</td></tr><tr><td align="center" valign="middle" >B</td><td align="center" valign="middle" >Standard Error</td><td align="center" valign="middle" >Beta</td></tr><tr><td align="center" valign="middle" >(Constant)</td><td align="center" valign="middle" >−61.499</td><td align="center" valign="middle" >66.589</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >−0.924</td><td align="center" valign="middle" >0.373</td></tr><tr><td align="center" valign="middle" >Number of bites by suspected animals per year</td><td align="center" valign="middle" >0.066</td><td align="center" valign="middle" >0.021</td><td align="center" valign="middle" >0.653</td><td align="center" valign="middle" >3.112</td><td align="center" valign="middle" >0.008</td></tr></tbody></table></table-wrap></table-wrap-group><table-wrap id="table9" ><label><xref ref-type="table" rid="table9">Table 9</xref></label><caption><title> Correlation of roundworm infestation condition in pigs with time</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="4"  >Correlations</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >Year of Submission</td><td align="center" valign="middle" >Round worms</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Year of submission</td><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.694</td></tr><tr><td align="center" valign="middle" >Sig. (2-tailed)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.038</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >9</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Round worms</td><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >0.694</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Sig. (2-tailed)</td><td align="center" valign="middle" >0.038</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >9</td></tr></tbody></table></table-wrap><table-wrap-group id="10"><label><xref ref-type="table" rid="table1">Table 1</xref>0</label><caption><title> (a) &amp; (b) Regression of roundworm infestation condition in pigs with time</title></caption><table-wrap id="10_1"><table><tbody><thead><tr><th align="center" valign="middle"  colspan="5"  >Regression</th></tr></thead><tr><td align="center" valign="middle"  colspan="5"  >Model Summary</td></tr><tr><td align="center" valign="middle" >Model</td><td align="center" valign="middle" >R</td><td align="center" valign="middle" >R Square</td><td align="center" valign="middle" >Adjusted R Square</td><td align="center" valign="middle" >Standard Error of the Estimate</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.694<sup>a</sup></td><td align="center" valign="middle" >0.482</td><td align="center" valign="middle" >0.408</td><td align="center" valign="middle" >840.373</td></tr></tbody></table></table-wrap><table-wrap id="10_2"><table><tbody><thead><tr><th align="center" valign="middle"  colspan="6"  >Coefficients<sup>a</sup></th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Model</td><td align="center" valign="middle"  colspan="2"  >Unstandardized Coefficients</td><td align="center" valign="middle" >Standardized Coefficients</td><td align="center" valign="middle"  rowspan="2"  >t</td><td align="center" valign="middle"  rowspan="2"  >Sig</td></tr><tr><td align="center" valign="middle" >B</td><td align="center" valign="middle" >Standard Error</td><td align="center" valign="middle" >Beta</td></tr><tr><td align="center" valign="middle" >(Constant)</td><td align="center" valign="middle" >397.306</td><td align="center" valign="middle" >610.517</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.651</td><td align="center" valign="middle" >0.536</td></tr><tr><td align="center" valign="middle" >Year of Submission</td><td align="center" valign="middle" >276.917</td><td align="center" valign="middle" >108.492</td><td align="center" valign="middle" >0.694</td><td align="center" valign="middle" >2.552</td><td align="center" valign="middle" >0.038</td></tr></tbody></table></table-wrap></table-wrap-group><table-wrap id="table11" ><label><xref ref-type="table" rid="table1">Table 1</xref>1</label><caption><title> Correlation of vaccines doses issued by DVOs for field use with time</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="4"  >Correlations</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >Year of Submission</td><td align="center" valign="middle" >Quantity issued in doses</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Year of submission</td><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >−0.643</td></tr><tr><td align="center" valign="middle" >Sig. (2-tailed)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.010</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Quantity issued in doses</td><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >−0.643</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Sig. (2-tailed)</td><td align="center" valign="middle" >0.010</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15</td></tr></tbody></table></table-wrap><p>DVOs for use in the field with time. It shows a fairly strong but negative relationship with a correlation of negative or minus (−) 64.3% at p-value &lt;0.05. Meaning vaccine issuance/usage or availability reduced with time at a rate of 64.3% in 15 years.</p><p><xref ref-type="table" rid="table1">Table 1</xref>2(a) &amp; <xref ref-type="table" rid="table1">Table 1</xref>2(b): show a regression at a fair level of 41.3% at p-value &lt; 0.05. This means that with other factors held constant; on average 41.3% of the variations or quantities of vaccines issued for use in the field were attributed or dependent on the year or time when the animal health reports were submitted.</p><p><xref ref-type="fig" rid="fig3">Figure 3</xref> shows changes in numbers of different cadres of the local governments (the decentralized veterinary personnel) during the reform period in which there was a very sharp fall for years 1997-1998 from 970 to only 91 personnel (a decrease by 90.61%) during the study period. Thereafter, there was a very slow trend of increments in staffing at the local governments. The increments included private veterinary practitioners as part of the reforms introduced.</p><table-wrap-group id="12"><label><xref ref-type="table" rid="table1">Table 1</xref>2</label><caption><title> (a) &amp; (b) Regression of vaccines doses issued by DVOs for field use with time</title></caption><table-wrap id="12_1"><table><tbody><thead><tr><th align="center" valign="middle"  colspan="5"  >Regression</th></tr></thead><tr><td align="center" valign="middle"  colspan="5"  >Model Summary</td></tr><tr><td align="center" valign="middle" >Model</td><td align="center" valign="middle" >R</td><td align="center" valign="middle" >R Square</td><td align="center" valign="middle" >Adjusted R Square</td><td align="center" valign="middle" >Standard Error of the Estimate</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.643<sup>a</sup></td><td align="center" valign="middle" >0.413</td><td align="center" valign="middle" >0.368</td><td align="center" valign="middle" >790790.312</td></tr></tbody></table></table-wrap><table-wrap id="12_2"><table><tbody><thead><tr><th align="center" valign="middle"  colspan="6"  >Coefficients<sup>a</sup></th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Model</td><td align="center" valign="middle"  colspan="2"  >Unstandardized Coefficients</td><td align="center" valign="middle" >Standardized Coefficients</td><td align="center" valign="middle"  rowspan="2"  >t</td><td align="center" valign="middle"  rowspan="2"  >Sig</td></tr><tr><td align="center" valign="middle" >B</td><td align="center" valign="middle" >Standard Error</td><td align="center" valign="middle" >Beta</td></tr><tr><td align="center" valign="middle" >(Constant)</td><td align="center" valign="middle" >2.636E6</td><td align="center" valign="middle" >423,864.024</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >6.218</td><td align="center" valign="middle" >0.000</td></tr><tr><td align="center" valign="middle" >Year of Submission</td><td align="center" valign="middle" >−139,287.801</td><td align="center" valign="middle" >46,046.795</td><td align="center" valign="middle" >−0.643</td><td align="center" valign="middle" >−3.025</td><td align="center" valign="middle" >0.010</td></tr></tbody></table></table-wrap></table-wrap-group></sec><sec id="s5"><title>5. Discussion</title><sec id="s5_1"><title>5.1. Verification of the Assumed Increases in Animal Disease Prevalence during the Study Period</title><p>While it has been noted that the economic progress of Africa is under threat due to continued animal diseases―it has also been positively noted that surveillance can be used for early detection and rapid response against such diseases [<xref ref-type="bibr" rid="scirp.89051-ref29">29</xref>] . However, only appropriate components of such a system should be used to avoid high expenses and cumbersomeness in running it [<xref ref-type="bibr" rid="scirp.89051-ref30">30</xref>] . For this matter, Uganda put in place a national animal health passive surveillance system in 1993 coincidentally at the same time with the civil sector reforms and restructuring. While the submission of the animal health reports per year were stable at an average of 81% before the reforms; the reform period was characterized by unstable and erratic submissions (<xref ref-type="table" rid="table1">Table 1</xref>, <xref ref-type="fig" rid="fig1">Figure 1</xref>) leading to an average of only 47.06% in 16 years and at a very wide standard deviation of 24.41% from the mean (<xref ref-type="table" rid="table2">Table 2</xref>). The trend of animal health report submissions was on average in the negative or tended to reduce with time at correlation of minus (−) 27.3% albeit at p-value &gt; 0.05 in 16 years (<xref ref-type="table" rid="table3">Table 3</xref> and <xref ref-type="fig" rid="fig2">Figure 2</xref>).</p><p>From the above results; it was seen that the first casualty of the veterinary reforms was the national animal health surveillance system itself which was affected negatively by erratic and on average reducing submissions of reports with time. By policy and in reference to standing regulations; animal health passive report submissions are expected regularly and in Uganda at least once a month from each DVO to enable appropriate disease threat actions locally while also informing the African Union - Interafrican Bureau for Animal Resources and the OIE authorities. Emergency reports can be submitted immediately for example those due to disease outbreaks and sudden and or high vector prevalence. While the study in general on average showed that national animal health report submissions were declining―but there were also periods when they all of a sudden spiked up. Spiking up was especially during times when projects like the: Livestock Services Project, Germany Technical Cooperation (up to 1996), Pan-African Rinderpest Campaign &amp; Pan African Control of Epizootics (from 1999 to 2007) provided funding and technical logistics at the center and in field animal health services albeit not in a sustainable way. The Germany Technical Cooperation initiated the systematic development of an organized epidemio - surveillance system in Uganda originally research based but later handed over to the CVO. This gesture was followed by the Pan-African Rinderpest Campaign, Livestock Services Project and Pan African Control of Epizootics Program. Pan African Control of Epizootics consolidated the epidemio-surveillance systems in Uganda 1999-2007 but made recommendations at termination to strengthen epidemio-surveillance networks as an essential and integral part of any future animal disease control program [<xref ref-type="bibr" rid="scirp.89051-ref57">57</xref>] .</p><p>After termination of the above programs by 2007; the national animal health surveillance system again experienced acute inadequate funding for logistics and technical work in animal disease control. This resulted in very low performance with year 2010 recording an average of 12.72% animal health report submissions―the lowest ever since inception of the system (<xref ref-type="table" rid="table1">Table 1</xref> &amp; <xref ref-type="fig" rid="fig1">Figure 1</xref>). Thereafter; submissions started to struggle upwards in unsure jerks under the Livestock Disease Control. The Livestock Disease Control Project replaced the expired projects such as the Pan African Control of Epizootics to cater for national animal disease control. Livestock Disease Control Project funding was inadequate but also lacked direction or management to enable strategic use. So the reforms affected sources of funding for epidemio-surveillance and disease control. In addition; they affected the source or origin of the animal health reports―the local governments which had been decentralized and technical staff were made to report to local councils not the CVO. This phenomenon broke down the central chain of veterinary command. Such a chain is required for mandatory reporting and actions on disease threats.</p><p>The study further showed that contagious and major animal disease cases increased by 46.1% (<xref ref-type="table" rid="table4">Table 4</xref>) despite animal health report submissions decreasing to only 46.07% in 16 years. Increase in cases was therefore related to an increase in disease and or disease outbreaks since fewer measures were being put in place due to negative effects of the reforms on animal disease control under a decentralized and lowly funded system. Increased animal disease presence means a malfunctioning delivery of veterinary regulatory services’ system attributed primarily to effects of the reforms and decentralization―which was a deviation away from the central chain of veterinary command. Related to animal and public health disease upsurge during the reform and thus study period―the economically crippling FMD showed a very high association between the cattle corridor areas and the non-cattle corridor areas by a very high positive 83.3% at p-value &lt; 0.05 level (<xref ref-type="table" rid="table5">Table 5</xref>). Meanwhile, regression of this relationship showed that with other factors held constant and on average: a high 69.5% of all FMD outbreaks which occurred in the non-cattle corridor area in Uganda came from the seasonally semi-arid cattle corridor area (<xref ref-type="table" rid="table6">Table 6</xref>(a) &amp; <xref ref-type="table" rid="table6">Table 6</xref>(b)). Controlling FMD in the cattle corridor would rid 69.5% of this disease in the non-cattle corridor area too. It means that the remaining 30.5% of this disease in the non-cattle corridor area comes from within or other areas of Uganda and beyond.</p><p>Equally―the study showed that there was a high positive association between the numbers of suspected rabid animal bites in man and deaths in man to rabies with a correlation of positive 65.3% (<xref ref-type="table" rid="table7">Table 7</xref>). Further regression of this relationship showed that with other conditions held constant; on average 42.7% of all observed human deaths from rabies disease we attributed to the number of bites by suspected rabid animals (<xref ref-type="table" rid="table8">Table 8</xref>(a) &amp; <xref ref-type="table" rid="table8">Table 8</xref>(b)). In summary―the more the suspected rabid animal bites in were reported in man, the more deaths due to rabies were also reported in man. Internationally; the canidae that includes dogs are responsible for 99% of all rabies cases in man due to their infected bites and scratches [<xref ref-type="bibr" rid="scirp.89051-ref58">58</xref>] . The low national 47.063% report returns in 16 years seem to have among others acted as a factor in the regression results of 42.7% deaths in man attributed to bites by suspected rabid animals. It would require higher percentages of report submissions backed-up by active surveillance to get the actual suspected rabid animal bite and deaths in man due to rabies diseases [<xref ref-type="bibr" rid="scirp.89051-ref28">28</xref>] . However, being a public health concern, the passive animal health surveillance system was still sensitive enough to warrant actions to control and prevent rabies disease in pets and man. On the other hand―only bites from suspected rabid animals were used in the study leaving the majority albeit infected bites not reported and or not used in the study and infected scratches. Furthermore to improve passive surveillance reporting on rabies, the report forms used by the DVOs require reform to capture all modes of transmission of rabies from animals to man among others.</p><p>Related; in the same 16 years of the study period; roundworm infestation increased in pigs by a high 69.4% at p-value &lt; 0.05 (<xref ref-type="table" rid="table9">Table 9</xref>) with time and a fair regression of an average of 48.2% (<xref ref-type="table" rid="table1">Table 1</xref>0(a) &amp; <xref ref-type="table" rid="table1">Table 1</xref>0(b)) with time being the predictor or constant factor. During the same time―vaccine issuance or availability for use in the field to control animal diseases by DVOs declined by negative or (−) 64.3% with a regression of an average of 41.3% with time/years being the independent factor (<xref ref-type="table" rid="table1">Table 1</xref>1, <xref ref-type="table" rid="table1">Table 1</xref>2(a) &amp; <xref ref-type="table" rid="table1">Table 1</xref>2(b)). The staffing of veterinary personnel during this period also saw sharp declines by 92% between 1997 and 1998 immediately on enacting of the local government law that decentralized the delivery of veterinary extension services during the reform period thus affecting the mandatory veterinary service delivery at grass root level (<xref ref-type="fig" rid="fig3">Figure 3</xref>). One of the few positive effects of the reforms is that the private veterinary services function and activities improved and continue to do so but require further institutional development support.</p></sec><sec id="s5_2"><title>5.2. The Primary Cause for Increases in Animal Disease Prevalence during the Study Period</title><p>The study confirmed that: animal health reporting declined; the contagious and major animal diseases increased while vaccine availability and or use decreased during the study/reform period. There was also an increase in infestations of diseases such the roundworms in pigs and a major reduction in local government veterinary personnel who are responsible for grass-root/household delivery of the public/regulatory veterinary extension services. Such a negative phenomenon precipitated after the reforms as the study findings confirmed led to a scientifically backed conclusion that the veterinary institutional reform policies were the primary cause for animal disease prevalence increases. Increased animal diseases also meant that there were inadequate or inefficient mechanisms for the delivery of mandatory veterinary regulatory services in the country precipitated by the reforms. This was also an indicator of a breakdown of the internal institutional quality management system for the delivery of veterinary services in the whole country.</p></sec><sec id="s5_3"><title>5.3. Factors Associated with Animal Disease Increment during the Study Period</title><p>There were two sets of factors. The first set was the internal veterinary institution factors which can be within reach of control or can be managed or mitigated by the institution. This set included: policy reforms; how effective the national animal health passive surveillance system was implemented; the varied livestock production systems especially the vulnerable pastoralist and communal grazing systems; governance and quality management practices of the veterinary institution. The second set was the external or shock veterinary institution factors. These external factors are largely out of reach of the veterinary institution and cannot not easily be controlled or managed by the veterinary institution alone requiring partnerships and collaboration at national and international level. The external/shock factors were: insecurity and the globalized: economics; adverse climatic changes and epidemics.</p></sec><sec id="s5_4"><title>5.4. Impact of Internal and External Veterinary Institution Factors on Veterinary Regulatory Services in Animal Health</title><p>Veterinary regulatory services are of public good and to be offered to the public in a mandatory or obligatory way as required by specific regulations. The imperfect reform policy impacted and drastically reduced the delivery of veterinary regulatory services as related to: animal disease control; veterinary public health; animal welfare; food safety; level playing field for trade in livestock products; law and order in the sector and the regulation of the veterinary profession. This in totality culminated in increased animal diseases in the country as an indicator. By extrapolation―the increased contagious, major animal diseases and public health related diseases due to policy reforms contributes to the declines in livestock productivity through: morbidity and mortality resulting in losses of: meat; milk; hides and skins; eggs; wool; manure and animal traction [<xref ref-type="bibr" rid="scirp.89051-ref59">59</xref>] . Related in Uganda; it had been observed that an estimated annual loss of 86.3 million US$ was being incurred per year in the livestock sector attributed to diseases [<xref ref-type="bibr" rid="scirp.89051-ref12">12</xref>] . It had been further noted that such diseases cause direct visible production losses of: illnesses―stunting and deaths; direct invisible losses of fertility and indirect losses of: mitigation to disease and control costs; human health impact and foregone revenues [<xref ref-type="bibr" rid="scirp.89051-ref60">60</xref>] . FMD as an example of a contagious and major disease in Uganda has: direct impacts leading to reductions in animal production and indirect impacts leading to extra disease control costs; loss of revenue and loss of market access [<xref ref-type="bibr" rid="scirp.89051-ref61">61</xref>] . Some animal diseases also cause natural disease in man (zoonoses) such as rabies.</p></sec><sec id="s5_5"><title>5.5. Quality Management Approaches to Improve Performance in the Delivery of the Veterinary Regulatory Services in the Country</title><p>The centralized chain of veterinary command system was in use from year 1908 until 1993 when the most radical civil sector reform initiatives were made [<xref ref-type="bibr" rid="scirp.89051-ref62">62</xref>] up to 1997 when the decentralization law related to extension services was enacted. The reform period 1993 to 1997 was basically the time when the associated animal health quality management system also started to break down. This culminated in the increase of cases of contagious and major animal diseases. Further reforms in policy are required as part of a national animal health quality management system. Such a quality management system should have the following components: a quality policy; quality assurance; quality control and continuous quality improvements in animal health. These processes should be made aware to and fully participatory by all animal industry value chain stakeholders. The processes should also be: management - staff - customer or client focused. Such an objective would be best delivered by a recentralized veterinary chain of command with specifically delegated decongestion points at local governments through the mandatory veterinary regulatory services system.</p></sec></sec><sec id="s6"><title>6. Conclusion</title><p>The study met its objectives since it established that: Animal disease prevalence increased during the policy reform period under study by 46.1% and that the primary cause was attributed to the reform policies and restructuring that negatively affected the effectiveness and efficiency of the central chain of veterinary command system. However, for any system and organization―there were confounding or other inherent internal (manageable) and external or shock (not easily manageable) factors of the veterinary institution. Further, the impact of increased disease was enumerated and quality management approaches to improve veterinary regulatory service delivery identified. In conclusion: It was recommended that further fully participatory stakeholder policy reforms to practically recentralize the chain of veterinary command and objectively review the national passive animal health surveillance system be undertaken. Further, a quality management system which is staff - management - client focused should be put in place to administer these changes and enable efficient delivery of mandatory veterinary regulatory services in the country.</p></sec><sec id="s7"><title>Acknowledgements</title><p>My family of the “Wanderemas” who offered untiring love and comfort that enable me to undertake research on the subject matter: Bi-Bunaisanga Asiimiwe Umugasha Weere Baaba Wimungagi.</p><p>The Director of Animal Resources; the Department of Animal Health; the Division of Veterinary Inspection and Regulations and the Epidemiology Unit in the Ministry of Agriculture Animal Industry and Fisheries-Entebbe, Uganda for their technical assistance in this study and dedication to service delivery in animal health.</p><p>All the: District Veterinary Officers; the public and private sector: Veterinary Surgeons/Veterinary Doctors; the Para-Veterinarians and Support Staff who did and continue to work with the national animal health surveillance system.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s9"><title>Cite this paper</title><p>Wesonga, W.S.N., Madasi, B. and Nambo, E. (2018) Factors Associated with a Low Veterinary Regulatory Compliance in Uganda, Their Impact and Quality Management Approaches to Improve Performance. 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