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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="systematic-review">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2020.00076</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Building the Evidence Base for the Prevention of Raw Milk-Acquired Brucellosis: A Systematic Review</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Adetunji</surname> <given-names>Shakirat A.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/839289/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ramirez</surname> <given-names>Gilbert</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ficht</surname> <given-names>Allison R.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Perez</surname> <given-names>Ligia</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Foster</surname> <given-names>Margaret J.</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Arenas-Gamboa</surname> <given-names>Angela M.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/33973/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Veterinary Pathobiology, Texas A&#x00026;M University</institution>, <addr-line>College Station, TX</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>School of Public Health, Texas A&#x00026;M University</institution>, <addr-line>College Station, TX</addr-line>, <country>United States</country></aff>
<aff id="aff3"><sup>3</sup><institution>College of Medicine, Texas A&#x00026;M University Health Science Center</institution>, <addr-line>Bryan, TX</addr-line>, <country>United States</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Student Life Studies, Texas A&#x00026;M University</institution>, <addr-line>College Station, TX</addr-line>, <country>United States</country></aff>
<aff id="aff5"><sup>5</sup><institution>Medical Sciences Library, Texas A&#x00026;M University</institution>, <addr-line>College Station, TX</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Si-Yang Huang, Yangzhou University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Ni Hong Bo, Heilongjiang Bayi Agricultural University, China; Sascha Al Dahouk, Federal Institute for Risk Assessment (BfR), Germany</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Angela M. Arenas-Gamboa <email>aarenas&#x00040;cvm.tamu.edu</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Infectious Diseases - Surveillance, Prevention and Treatment, a section of the journal Frontiers in Public Health</p></fn></author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>03</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="collection">
<year>2020</year>
</pub-date>
<volume>8</volume>
<elocation-id>76</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>11</month>
<year>2019</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>02</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2020 Adetunji, Ramirez, Ficht, Perez, Foster and Arenas-Gamboa.</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder>Adetunji, Ramirez, Ficht, Perez, Foster and Arenas-Gamboa</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><p><bold>Background:</bold> The scientific evidence of the health risks associated with the consumption of raw milk has been known for a long time. However, less clear is the impact of acquiring infectious diseases from raw milk consumption in the United States (US) due to incomplete reporting of cases and the complex factors associated with the sale and consumption of raw milk. Investigations of this current study focused on human brucellosis, one of the infectious diseases commonly acquired through the consumption of raw milk and milk products, and which continues to be a public health threat worldwide.</p>
<p><bold>Methodology:</bold> A qualitative systematic review of the sources of opinions that contribute to the increased trend of raw milk sales and consumption in the US was conducted.</p>
<p><bold>Results:</bold> Interestingly, opinions about the sale of raw milk and/or the benefits arising from its consumption varied by US region, with the proportion of messages supporting raw milk consumption being highest in the Northeast compared to other US regions. Several evidence gaps and factors that possibly contribute to the increased prevalence of raw milk-acquired brucellosis were identified including inadequate monitoring of the raw milk sales process and lack of approved diagnostic methods for validating the safety of raw milk for human consumption.</p>
<p><bold>Conclusions:</bold> The unavailability of data specifying brucellosis cases acquired from raw milk consumption have precluded the direct association between raw milk and increased brucellosis prevalence in the United States. Nevertheless, the evidence gaps identified in this study demonstrate the need for intensified surveillance of raw-milk acquired infectious diseases including human brucellosis; establishment of safety and quality control measures for the process of selling raw milk; and design of an effective strategy for the prevention of raw milk-acquired infectious diseases including brucellosis. Overall, for the first time, this study has not only shown the gaps in evidence that require future investigations, but also, variations in the perception of raw milk consumption that may impact disease acquisition in different US regions.</p></abstract>
<kwd-group>
<kwd>brucellosis</kwd>
<kwd>evidence</kwd>
<kwd>gaps</kwd>
<kwd>raw milk</kwd>
<kwd>systematic review</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Institutes of Health<named-content content-type="fundref-id">10.13039/100000002</named-content></contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="37"/>
<page-count count="10"/>
<word-count count="6536"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Brucellosis, one of the world&#x00027;s most common bacterial zoonosis, is an ancient disease that dates as far back as the 1800s (<xref ref-type="bibr" rid="B1">1</xref>&#x02013;<xref ref-type="bibr" rid="B3">3</xref>). The discovery of the disease was by David Bruce, a military physician stationed in the island of Malta in the 1880s. During this period, Bruce noted the increased manifestation of a disease characterized by undulant fever and joint pains that debilitated many British soldiers. Autopsy of the deceased soldiers led to the recovery of the causative organism from the spleens, livers, and kidneys. To confirm that the recovered organism was the cause of the disease, Sir Bruce reproduced the infection in monkeys using bacterial cultures from the spleen of infected soldiers. A common practice at that time in Malta was the consumption of fresh raw goat milk (<xref ref-type="bibr" rid="B4">4</xref>). Raw goat milk was later confirmed to be the source of the bacteria, and the first consideration of brucellosis as a zoonosis arose from the isolation of its causative agent, <italic>Brucella melitensis</italic>, from goat milk (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Subsequently, the prohibition of goat milk and cheese in military establishments led to a significant reduction of the disease incidence among the soldiers of Malta (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>In the United States, brucellosis was reported as early as the 1900s where 29 cases of brucellosis (<italic>B. melitensis</italic>) were reported in Houston among Mexican immigrants that had consumed goat cheese before the onset of their symptoms. Additionally, between 1965 and 1978 in the US, over 3,000 cases of brucellosis were reported, and 4% of these cases were attributed to raw dairy products from Mexico, predominantly from the consumption of fresh cheese from unpasteurized goat milk (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Although, brucellosis incidence has been attributed to varying factors, the consumption of unpasteurized dairy products accounts for a large number of cases, particularly in endemic countries such as Asia, Middle East, Africa, Central and South America (<xref ref-type="bibr" rid="B7">7</xref>&#x02013;<xref ref-type="bibr" rid="B9">9</xref>). Further, in non-endemic countries, brucellosis has also been reported to occur after travel to, and consumption of raw dairy products in endemic countries (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>In developed countries, the emerging interests in natural foods and products have led to the increased preference for raw milk consumption due to its acclaimed health benefits that are believed to be destroyed upon pasteurization (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Pasteurization, a process which dates back to the 1800s, involves the heating of raw milk to a defined temperature for a specific period of time to inactivate live, disease-causing organisms such as <italic>Brucella, Salmonella, Listeria, Campylobacter, E. coli</italic>, amongst others that pose significant health risk to consumers (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). The process has been invaluable in the improvement of the safety of milk and other food products for human consumption. Another added advantage of pasteurization is that it destroys organisms that cause food spoilage, thereby increasing shelf-life and enhancing food security in low to middle income countries (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B14">14</xref>&#x02013;<xref ref-type="bibr" rid="B16">16</xref>). The presence of harmful pathogens in milk or dairy products can occur from either a direct passage from the animal, contamination of the expressed milk by animal excreta, or unsanitary handling of the milking process (<xref ref-type="bibr" rid="B13">13</xref>). For many years, several outbreaks of diseases resulting from the consumption of raw dairy products have been reported to the Centers for Disease Control and Prevention (CDC) (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B17">17</xref>&#x02013;<xref ref-type="bibr" rid="B19">19</xref>). In recent times, at least three cases of human brucellosis have been confirmed by the CDC resulting from an exposure to the live-attenuated vaccine strain <italic>Brucella abortus</italic> RB51 following the consumption of raw milk (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). In the most recent outbreak, it is believed that hundreds of persons in approximately 19 states may have been exposed in connection to the consumption of raw milk from a farm in Pennsylvania (<xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>Interestingly, despite the significant public health risk that raw milk presents to consumers, the sale of raw milk for human consumption is not prohibited in all states in the US (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B20">20</xref>). Currently, 13 states allow raw milk to be sold in retail stores, 17 states allow raw milk to be sold only on farms where the milk is produced, 8 states allow raw milk to be obtained via the cow-share program (which involves the leasing of cows to obtain a percentage of a cow&#x00027;s milk production), while 21 states prohibit the sale of raw milk for human consumption (<xref ref-type="bibr" rid="B6">6</xref>). Interestingly, outbreaks of raw milk-related diseases including brucellosis have been reported mostly in states that legalize the sale of raw milk (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>Previous studies have highlighted the varying motivations that drive raw milk consumers including consuming food items in their pure natural forms, better tastes and flavors, the belief that pasteurization destroys the natural components of milk, support of local farmers, and lack of trust of the state government as regards regulation of safe foods for consumption (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>To date, scientific validation of the health benefits of consuming raw milk is very limited, and it has been extensively demonstrated that the health risks associated with the consumption of raw milk significantly outweigh the unfounded proclaimed health benefits (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Additionally, information exchanged via social media and networks have been shown to influence the attitudes and decisions of consumers (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Currently, there is a gap in knowledge about the variables by which consumers evaluate the information exchanged in their food safety and preference conversations, or how consumers perceive the varying recommendations regarding raw milk.</p>
<p>Despite the significant health risks posed by the consumption of unpasteurized milk and dairy products, there is still an increased trend in the purchase and consumption of raw milk (<xref ref-type="bibr" rid="B21">21</xref>), which may consequently lead to an increased prevalence of raw-milk acquired brucellosis as well as other diseases in the US. In order to design a more effective approach to educate consumers on the public health risks associated with this practice, the significance of the sources of information related to the purchase and consumption of raw milk and milk products must be critically evaluated to enhance or come up with an effective strategy in the control and prevention of raw milk-acquired brucellosis. Therefore, the objectives of this report are to identify the evidence gaps for future investigations that will facilitate informed policy decision about the sale and consumption of raw milk and milk products in the US, and to systematically review the sources of information that contribute to the increased trend of raw milk sale and consumption in the US, and associate the findings with the rising prevalence of raw milk-acquired brucellosis cases in the country. Results from this current study will facilitate efforts that are necessary to enhance research into the development of innovative approaches to disseminate information about the dangers of raw milk consumption; intensify the surveillance of human brucellosis as a differential diagnosis to enable physicians to better control the disease; establish a quality control of the sales process; and highlight the significance of collecting and analyzing data about nation-wide raw milk sales, which will help to frame food safety policies for the benefit of the human population.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Eligibility Criteria</title>
<p>To systematically review public opinions about the consumption of raw dairy products in the US, potential sources of public opinion including newspapers, magazines, and newsletters were searched using the EBSCO information services. The search was restricted to the US and a span years (2012 to 2017). Information sources expressing an opinion that was neutral, supportive or against the consumption of raw milk were included in the study. Peer-reviewed scientific publications, reports, or conference proceedings were excluded. The systematic review was conducted according to the Joanna Briggs Institute Critical Appraisal Tools for the systematic review of texts and opinions (<xref ref-type="bibr" rid="B27">27</xref>).</p>
</sec>
<sec>
<title>Search Strategy</title>
<p>Five databases were searched: Alt HealthWatch, Health Source&#x02014;consumer edition magazines, Newspaper Source, Business Source Complete, and Academic Search. The searches included two concepts: raw or unpasteurized milk. The search was restricted to English Language reports and included all the states in the US and the Virgin Islands.</p>
</sec>
<sec>
<title>Screening</title>
<p>Citations were uploaded to Rayyan, an application designed for sorting citations. The titles were screened, and those that seemed relevant were added to RefWorks and the full-texts were reviewed.</p>
</sec>
<sec>
<title>Data Extraction</title>
<p>Equivalent information was extracted from all included reports. This information was comprised of the publication type; publishing regions [Federal Information Processing System (FIPS) 2015 codes were used to organize data by state and region/division]; the date, month, and year of publication; the category of opinions (supportive, against, or neutral); accessibility of information by the public (online, print, or both); and the frequency of publication (daily or monthly).</p>
</sec>
<sec>
<title>Theoretical and Analytical Frameworks</title>
<p>In order to identify evidence gaps and future research needs, theoretical and analytical frameworks were designed and subsequently used to guide this review. For the current study, theoretical framework represents an explanation of the factors related to the likelihood of raw-milk acquired brucellosis while analytical framework is the visual representation of the complex factors associated with the increased prevalence of raw milk-acquired brucellosis in the United States.</p>
</sec>
<sec>
<title>Analytic Framework of Direct and Indirect Measures</title>
<p>Google searches were used to identify direct and indirect measures of the elements identified in the analytical framework. Specifically, results were presented in a user-friendly format such as graphs and maps. Federal Information Processing System (FIPS) 2015 codes were used to organize data by state and region/division (<xref ref-type="bibr" rid="B28">28</xref>). FIPS grouped states into four regions with two or more divisions: Northeast (New England Division and Middle Atlantic Division); Midwest (East North Central Division and West North Central Division); South (South Atlantic Division, East South-Central Division, and West South-Central Division); and West (Mountain Division and Pacific Division). Maps were created using SPSS version 25.</p>
<p>Public opinions were coded as supportive, neutral, or against raw milk consumption. Within each state, an opinion message ratio was created by dividing the number of supportive/neutral messages within a state, by the total number of messages. Reported cases of brucellosis in the US (2012-2017) were obtained from the Centers for Disease Control and Prevention through the National Notifiable Diseases Surveillance System (NDSS).</p>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>Statistical analyses including univariate and bivariate analyses, as well as Chi-Square tests were conducted using the STATA statistical software (STATA, STATACorp LP, College Station, Texas, USA).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Theoretical Framework</title>
<p>The theoretical framework that was used to guide this review is illustrated in <xref ref-type="fig" rid="F1">Figure 1</xref>. We proposed that varying factors contribute to the prevalence of raw milk-acquired brucellosis. For example, raw milk sales promotion through advertisement and media advocacy could lead to the increased awareness of its availability for human consumption, as well as a surge in purchases, thereby leading to the increased prevalence of raw milk-acquired diseases such as brucellosis.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Theoretical framework of the factors related to the likelihood of raw-milk acquired brucellosis. An increase in raw milk sales and promotion through media advocacy could lead to increased purchase and consumption, ultimately leading to an increase of prevalence of raw milk-acquired brucellosis.</p></caption>
<graphic xlink:href="fpubh-08-00076-g0001.tif"/>
</fig>
</sec>
<sec>
<title>Study Characteristics</title>
<p>In this study, a total of 745 information sources were identified and analyzed for a qualitative systematic review. <xref ref-type="fig" rid="F2">Figure 2</xref> details the process of screening and selection of opinion messages, which was performed according to the Preferred Reporting Items for Systematic Review and Meta-Analyses guidelines (PRISMA) (<xref ref-type="bibr" rid="B29">29</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>PRISMA flow chart of the systematic review of public opinions about raw milk consumption in the United States.</p></caption>
<graphic xlink:href="fpubh-08-00076-g0002.tif"/>
</fig>
<p>One hundred and thirty-six opinion messages met the inclusion criteria, and they cut across 33 states including the District of Columbia. The publishing regions of the journals were grouped according to the US Census Bureau regional and divisional coding. The messages were coded (with respect to opinions about raw milk consumption) as &#x0201C;supportive (43/133),&#x0201D; &#x0201C;against (86/133),&#x0201D; or &#x0201C;neutral (4/133)&#x0201D; during the 6-year range 2012&#x02013;2017 (each region or division was represented in the database with three cases of missing data for &#x0201C;state&#x0201D;). The majority of messages appeared in dual-format publications (print and online) (<xref ref-type="fig" rid="F3">Figure 3</xref>), however we did not verify that within each of these dual-format publications any specific message did in fact appear in both formats. The vast majority (&#x0003E;80%) of publications had daily (sometimes twice a day) distributions with the remainder weekly, monthly, or quarterly. Most message authors contributed a message only once, and most publications also only contributed once.</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Accessibility of the public to the varying information sources that support or are against the consumption of raw milk.</p></caption>
<graphic xlink:href="fpubh-08-00076-g0003.tif"/>
</fig>
</sec>
<sec>
<title>Data Analyses</title>
<p>The Federal Information Processing System (FIPS) coding, which comprises four US Census Bureau Regions was used in this current study. Each region or division was represented in the database with two cases of missing data for &#x0201C;state.&#x0201D; The (%) denotes the percentage representation of the 134 cases with state/FIPS identification, such that the sum of the division percentages within a region equal the region percentage (less rounding differences) (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Regional/divisional analyses.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" colspan="4"><bold>United States Regions</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Milk production</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>State FIPS code</bold></th>
<th valign="top" align="center"><bold>Number of cases</bold></th>
<th valign="top" align="center"><bold>Percentage of cases (%)</bold></th>
<th valign="top" align="center"><bold>Rank</bold></th>
<th valign="top" align="center"><bold>Percentage (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Northeast</bold></td>
<td/>
<td valign="top" align="center"><bold>46</bold></td>
<td valign="top" align="center"><bold>34.3</bold></td>
<td valign="top" align="center"><bold>3</bold></td>
<td valign="top" align="center"><bold>14</bold></td>
</tr>
<tr>
<td valign="top" align="left"><italic>New England Division:</italic></td>
<td/>
<td valign="top" align="center"><italic>16</italic></td>
<td valign="top" align="center"><italic>11.9</italic></td>
<td valign="top" align="center"><italic>8</italic></td>
<td valign="top" align="center"><italic>2</italic></td>
</tr>
<tr>
<td valign="top" align="left">Connecticut</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">0.2</td>
</tr>
<tr>
<td valign="top" align="left">Maine</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">0.3</td>
</tr>
<tr>
<td valign="top" align="left">Massachusetts</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">0.1</td>
</tr>
<tr>
<td valign="top" align="left">New Hampshire</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">0.1</td>
</tr>
<tr>
<td valign="top" align="left">Rhode Island</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">Vermont</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.5</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">1.3</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Middle Atlantic Division:</italic></td>
<td/>
<td valign="top" align="center"><italic>30</italic></td>
<td valign="top" align="center"><italic>22.4</italic></td>
<td valign="top" align="center"><italic>4</italic></td>
<td valign="top" align="center"><italic>12</italic></td>
</tr>
<tr>
<td valign="top" align="left">New Jersey</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">0.1</td>
</tr>
<tr>
<td valign="top" align="left">New York</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">6.8</td>
</tr>
<tr style="border-bottom: thin solid #000000;">
<td valign="top" align="left">Pennsylvania</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">12.7</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">5.2</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Midwest</bold></td>
<td/>
<td valign="top" align="center"><bold>40</bold></td>
<td valign="top" align="center"><bold>29.9</bold></td>
<td valign="top" align="center"><bold>2</bold></td>
<td valign="top" align="center"><bold>35.2</bold></td>
</tr>
<tr>
<td valign="top" align="left"><italic>East North Central Division:</italic></td>
<td/>
<td valign="top" align="center"><italic>29</italic></td>
<td valign="top" align="center"><italic>21.6</italic></td>
<td valign="top" align="center"><italic>1</italic></td>
<td valign="top" align="center"><italic>24.3</italic></td>
</tr>
<tr>
<td valign="top" align="left">Indiana</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">1.9</td>
</tr>
<tr>
<td valign="top" align="left">Illinois</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">5.2</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">0.9</td>
</tr>
<tr>
<td valign="top" align="left">Michigan</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.5</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">4.9</td>
</tr>
<tr>
<td valign="top" align="left">Ohio</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">2.6</td>
</tr>
<tr>
<td valign="top" align="left">Wisconsin</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">13.4</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">13.9</td>
</tr>
<tr>
<td valign="top" align="left"><italic>West North Central Division:</italic></td>
<td/>
<td valign="top" align="center"><italic>11</italic></td>
<td valign="top" align="center"><italic>8.2</italic></td>
<td valign="top" align="center"><italic>5</italic></td>
<td valign="top" align="center"><italic>11</italic></td>
</tr>
<tr>
<td valign="top" align="left">Iowa</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">2.3</td>
</tr>
<tr>
<td valign="top" align="left">Kansas</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">1.5</td>
</tr>
<tr>
<td valign="top" align="left">Minnesota</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">4.5</td>
</tr>
<tr>
<td valign="top" align="left">Missouri</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.5</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">0.7</td>
</tr>
<tr>
<td valign="top" align="left">Nebraska</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">0.6</td>
</tr>
<tr>
<td valign="top" align="left">North Dakota</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">0.2</td>
</tr>
<tr style="border-bottom: thin solid #000000;">
<td valign="top" align="left">South Dakota</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">1.1</td>
</tr>
<tr>
<td valign="top" align="left"><bold>South</bold></td>
<td/>
<td valign="top" align="center"><bold>25</bold></td>
<td valign="top" align="center"><bold>18.7</bold></td>
<td valign="top" align="center"><bold>4</bold></td>
<td valign="top" align="center"><bold>10.6</bold></td>
</tr>
<tr>
<td valign="top" align="left"><italic>South Atlantic Division:</italic></td>
<td/>
<td valign="top" align="center"><italic>17</italic></td>
<td valign="top" align="center"><italic>12.7</italic></td>
<td valign="top" align="center"><italic>7</italic></td>
<td valign="top" align="center"><italic>4.1</italic></td>
</tr>
<tr>
<td valign="top" align="left">Delaware</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">0.1</td>
</tr>
<tr>
<td valign="top" align="left">D.C.</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">Florida</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">1.2</td>
</tr>
<tr>
<td valign="top" align="left">Georgia</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">0.9</td>
</tr>
<tr>
<td valign="top" align="left">Maryland</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.5</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">0.5</td>
</tr>
<tr>
<td valign="top" align="left">North Carolina</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">0.5</td>
</tr>
<tr>
<td valign="top" align="left">South Carolina</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">0.1</td>
</tr>
<tr>
<td valign="top" align="left">Virginia</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">0.9</td>
</tr>
<tr>
<td valign="top" align="left">West Virginia</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">9.7</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">0.1</td>
</tr>
<tr>
<td valign="top" align="left"><italic>East South-Central Division:</italic></td>
<td/>
<td valign="top" align="center"><italic>1</italic></td>
<td valign="top" align="center"><italic>0.7</italic></td>
<td valign="top" align="center"><italic>9</italic></td>
<td valign="top" align="center"><italic>1</italic></td>
</tr>
<tr>
<td valign="top" align="left">Alabama</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">0.1</td>
</tr>
<tr>
<td valign="top" align="left">Kentucky</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">0.5</td>
</tr>
<tr>
<td valign="top" align="left">Mississippi</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">0.1</td>
</tr>
<tr>
<td valign="top" align="left">Tennessee</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">0.4</td>
</tr>
<tr>
<td valign="top" align="left"><italic>West South-Central Division:</italic></td>
<td/>
<td valign="top" align="center"><italic>7</italic></td>
<td valign="top" align="center"><italic>5.2</italic></td>
<td valign="top" align="center"><italic>6</italic></td>
<td valign="top" align="center"><italic>5.4</italic></td>
</tr>
<tr>
<td valign="top" align="left">Arkansas</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">Louisiana</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.5</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">0.1</td>
</tr>
<tr>
<td valign="top" align="left">Oklahoma</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">0.4</td>
</tr>
<tr style="border-bottom: thin solid #000000;">
<td valign="top" align="left">Texas</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">4.9</td>
</tr>
<tr>
<td valign="top" align="left"><bold>West</bold></td>
<td/>
<td valign="top" align="center"><bold>23</bold></td>
<td valign="top" align="center"><bold>17.2</bold></td>
<td valign="top" align="center"><bold>1</bold></td>
<td valign="top" align="center"><bold>40.2</bold></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Mountain Division:</italic></td>
<td/>
<td valign="top" align="center"><italic>10</italic></td>
<td valign="top" align="center"><italic>7.5</italic></td>
<td valign="top" align="center"><italic>3</italic></td>
<td valign="top" align="center"><italic>16.2</italic></td>
</tr>
<tr>
<td valign="top" align="left">Arizona</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">2.3</td>
</tr>
<tr>
<td valign="top" align="left">Colorado</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">1.8</td>
</tr>
<tr>
<td valign="top" align="left">Idaho</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">6.8</td>
</tr>
<tr>
<td valign="top" align="left">New Mexico</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">3.8</td>
</tr>
<tr>
<td valign="top" align="left">Montana</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">3.7</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">0.1</td>
</tr>
<tr>
<td valign="top" align="left">Utah</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">1.1</td>
</tr>
<tr>
<td valign="top" align="left">Nevada</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">0.3</td>
</tr>
<tr>
<td valign="top" align="left">Wyoming</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">0.1</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Pacific Division:</italic></td>
<td/>
<td valign="top" align="center"><italic>13</italic></td>
<td valign="top" align="center"><italic>9.7</italic></td>
<td valign="top" align="center"><italic>2</italic></td>
<td valign="top" align="center"><italic>24</italic></td>
</tr>
<tr>
<td valign="top" align="left">Alaska</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">California</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">3.7</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">19.6</td>
</tr>
<tr>
<td valign="top" align="left">Hawaii</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left">Oregon</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">1.2</td>
</tr>
<tr>
<td valign="top" align="left">Washington</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">3.2</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>The table denotes the number or percentage representation of the opinion messages included in the study [States (FIPS code) by Division (SPSS Code) by Region (SPSS Code)&#x02014;not all states were represented in database]. Milk production was also ranked by states or regional division</italic>.</p>
<p><italic>FIPS, Federal Information Processing Standard. The bold values represent the number of opinion messages per region; percentage of that per region; the rank of each region in milk production; and percentage of milk production per region</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Bivariate Analyses of Groupings</title>
<p>To determine the distribution of opinion messages by US regions, bivariate analysis of groupings was used. Opinion messages that indicated a support for or indifference about raw milk consumption were categorized as &#x0201C;Supportive&#x0201D; or &#x0201C;Neutral&#x0201D;, respectively, and those that were against raw milk consumption were categorized as &#x0201C;Against.&#x0201D; The region with the highest percentage of &#x0201C;against&#x0201D; messages (of messages within the region) was the West (91.3%), followed by the Midwest (69.2%), South (56.0%), and the Northeast (52.2%); chi-square = 11.461, 3 df, <italic>p</italic> = 0.009. The West region had the highest milk production and, among West messages, the highest percentage of &#x0201C;against&#x0201D; messages, but had the lowest percentage of total messages observed (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>CenRegion crosstabulation.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th valign="top" align="center" colspan="4"><bold>CenRegion</bold></th>
<th valign="top" align="center"><bold>Total (%)</bold></th>
</tr>
<tr>
<th valign="top" align="left" colspan="7"><bold>Percentage (%) within CenRegion</bold></th>
</tr>
<tr>
<th/>
<th/>
<th valign="top" align="center" style="border-top: thin solid #000000;"><bold>Northeast (%)</bold></th>
<th valign="top" align="center" style="border-top: thin solid #000000;"><bold>Midwest (%)</bold></th>
<th valign="top" align="center" style="border-top: thin solid #000000;"><bold>South (%)</bold></th>
<th valign="top" align="center" style="border-top: thin solid #000000;"><bold>West (%)</bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Opinion</td>
<td valign="top" align="left">Neutral or Supportive</td>
<td valign="top" align="center">47.8</td>
<td valign="top" align="center">30.8</td>
<td valign="top" align="center">44.0</td>
<td valign="top" align="center">8.7</td>
<td valign="top" align="center">35.3</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Against</td>
<td valign="top" align="center">52.2</td>
<td valign="top" align="center">69.2</td>
<td valign="top" align="center">56.0</td>
<td valign="top" align="center">91.3</td>
<td valign="top" align="center">64.7</td>
</tr>
<tr style="border-bottom: thin solid #000000;">
<td valign="top" align="left">Total</td>
<td valign="top" align="left">100.0</td>
<td valign="top" align="center">100.0</td>
<td valign="top" align="center">100.0</td>
<td valign="top" align="center">100.0</td>
<td valign="top" align="center">100.0</td>
<td/>
</tr>
<tr style="border-bottom: thin solid #000000;">
<td/>
<td/>
<td valign="top" align="center">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;<bold>Value</bold></td>
<td valign="top" align="center"><italic><bold>df</bold></italic></td>
<td valign="top" align="center" colspan="3"><bold>Asymptotic significance (2-sided)</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Chi-Square Tests</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Pearson chi-square</td>
<td valign="top" align="center">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;11.461<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x000A0;3</td>
<td valign="top" align="center" colspan="3">0.009</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Likelihood ratio</td>
<td valign="top" align="center">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;13.057</td>
<td valign="top" align="center">&#x000A0;3</td>
<td valign="top" align="center" colspan="3">0.005</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Linear-by-linear association</td>
<td valign="top" align="center">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;6.880</td>
<td valign="top" align="center">&#x000A0;1</td>
<td valign="top" align="center" colspan="3">0.009</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">N of valid cases</td>
<td valign="top" align="center">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;133</td>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1"><label>a</label><p><italic>0 cells (0.0%) have expected count &#x0003C;5. The minimum expected count is 8.13</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Univariate Analyses of Groupings</title>
<p>To determine the proportion of opinion messages that support or are against raw milk consumption, univariate analysis of groupings was used. Interestingly, the proportion of messages against raw milk consumption was higher than the messages that support it.</p>
<p>However, the proportion of supportive messages appeared to be higher than those of neutral (<xref ref-type="fig" rid="F4">Figure 4</xref>), indicating the trend and preference for raw milk consumption. In an attempt to characterize the regional distribution of the opinion messages, the messages were grouped based on the FIPS divisional coding as previously stated. The number of opinion messages that advocated raw milk consumption were highest in the Northeast (<xref ref-type="fig" rid="F5">Figure 5</xref>).</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Sources of information categorized based on varying reactions to the consumption of raw milk in the United States. The graph represents the percentage of messages that are against, neutral or in support of the consumption of raw milk.</p></caption>
<graphic xlink:href="fpubh-08-00076-g0004.tif"/>
</fig>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Public opinions categorized based on varying reactions to raw milk consumption in the United States. Neutral or Supportive: The graph represents the number of publications that were indifferent about or advocated the consumption of raw milk. Media from the Northeast had the most promotion of raw milk consumption.</p></caption>
<graphic xlink:href="fpubh-08-00076-g0005.tif"/>
</fig>
</sec>
<sec>
<title>Confirmed Brucellosis Cases in the US</title>
<p>Consumption of raw milk can lead to the acquisition of diseases that significantly impact the health of consumers, including brucellosis. Unfortunately, data demonstrating the proportion of raw milk-acquired brucellosis in the US is unavailable. Therefore, it was not possible to use this in further data analyses in the current study. However, for graphical representation, we used the confirmed cases of human brucellosis provided by the CDC, which represented the total number of cases irrespective of the source of acquisition. We found that brucellosis was also mostly reported in the states that had a high proportion of opinion messages supporting raw milk consumption (<xref ref-type="fig" rid="F6">Figure 6</xref>). However, other factors that possibly contribute to the prevalence of brucellosis in some US states including immigration and close proximity to brucellosis-endemic countries like Mexico were not examined in this study.</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>Number of confirmed cases of brucellosis in the US reported to the CDC. Outbreak of raw milk related diseases including brucellosis have been reported mostly in states that permit the sale of raw milk. Lovacore Index&#x02014;A measure of the commitment of individuals to local healthy food. Legal status of the sale of raw milk in the United States.</p></caption>
<graphic xlink:href="fpubh-08-00076-g0006.tif"/>
</fig>
</sec>
<sec>
<title>Analytical Framework</title>
<p>In summary, the current study has identified several evidence gaps and factors that can possibly contribute to the increased prevalence of raw milk-acquired infectious diseases such as brucellosis (<xref ref-type="fig" rid="F7">Figure 7</xref>). One of the primary goals of this study was to correlate raw milk supportive messages with increased sales and purchases of raw milk as well as the increased prevalence of raw milk-acquired brucellosis in US regions. Unfortunately, the conclusions from this study have been limited by the inaccessibility of pertinent data such as an estimate of regional or national raw milk sales, demographics of consumers, and particularly, cases of human brucellosis resulting from raw milk consumption. Availability of these data will facilitate efforts to design an effective strategy for the prevention of raw milk-acquired brucellosis through the regulation of sales, increased awareness of disease risks associated with consumption, and the establishment of safety and quality control measures.</p>
<fig id="F7" position="float">
<label>Figure 7</label>
<caption><p>An analytical framework is proposed for understanding the complex factors associated with the increased prevalence of raw milk-acquired brucellosis in the United States. The circles represent priority areas and gaps in evidence that require additional research to facilitate the establishment of the safety and quality control measures for the raw milk sales process, and also design an effective strategy for the prevention of raw milk-acquired brucellosis.</p></caption>
<graphic xlink:href="fpubh-08-00076-g0007.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The scientific evidence of the health risks associated with the consumption of raw milk and products has been known for a long time (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). However, less clear is the impact of acquiring infectious diseases including brucellosis from raw milk consumption in the US due to incomplete reporting of cases and the complex factors associated with the sale and consumption of raw milk, including inconsistent policies that range from total prohibition to legal sales in retail stores. One of the aims of this current study was to determine if increase in sales and consumption of raw milk in the US is directly associated with increased media advocacy and public opinions about the benefits of consuming raw milk. Interestingly, we found that the majority of public opinion published by newspapers and magazines in the Northeastern, Midwestern, Southern, and Western regions of the US were against the sale and consumption of raw milk due to the associated health risks. Hence, the rise in the trend of raw milk consumption may be a result of other factors such as the dissemination of misleading information that are neither evidence nor science-based on other social media networks like Facebook, Twitter, and other social interactive platforms. Previous studies have shown that discussions on these types of social platforms have severe implications in influencing consumer behaviors (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>Another important finding in this current study was that majority of the media advocacy and public opinion in favor of raw milk consumption were published in the Northeast compared to other US regions. Why the Northeast had more favorable public opinion is not known, but it may be due to a stronger commitment of individuals in this US region to healthy local foods as indicated by Lovacore Index which ranks states based on the support of natural products or food (<xref ref-type="fig" rid="F6">Figure 6</xref>). Additionally, the favorable raw milk regulations in the Northeast also facilitates the ease of access to raw milk via various means including availability in retail stores and farms where raw milk is produced (<xref ref-type="fig" rid="F6">Figure 6</xref>). Moreover, media advocacy and public opinion were also accessible via both printed and online, making it possible to reach a larger audience. Therefore, efforts should be intensified for the adoption of media advocacy as well as social networks to increase awareness and educate the public about the disease risks associated with raw milk consumption. It is important to bear in mind that the more favorable public opinion in the Northeast does not directly correlate with increased incidence of brucellosis when compared to other regions like the southern states. A possible explanation for this might be the interplay of factors that contribute to disease incidence and prevalence in different regions including immigration and interaction with wild animals that serve as reservoir hosts.</p>
<p>What prompted the investigation of this current study were the recent increase in the number of confirmed human brucellosis cases resulting from the consumption of raw milk and products. Interestingly, human brucellosis is an almost nonexistent disease in the US, but endemic in countries where the consumption of raw milk is greatest and unregulated. Symptoms in infected individuals are non-specific and can include fever, sweats, arthralgia, myalgia, and in complicated cases, miscarriage or spontaneous abortion (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B33">33</xref>&#x02013;<xref ref-type="bibr" rid="B35">35</xref>). In this study, an attempt to directly correlate confirmed human brucellosis cases with the consumption of raw milk and products was impossible, which demonstrates a gap in evidence of unavailable data reporting human brucellosis acquired from raw milk consumption. Therefore, we cannot prove that raw milk consumption contributed to increased prevalence of brucellosis in the US. It is notable that apart from raw milk consumption, there are several other factors that increase the risk of acquisition of human brucellosis including occupations that allow direct contact with animals (e.g., veterinarians, butchers, ranchers, animal care givers, etc.), laboratory personnel or research scientists that have direct exposure to animal samples, immigration, as well as feral swine hunting that results in species-specific infections. An important issue for future research is to unravel how raw milk consumption specifically contributes to the prevalence of brucellosis in the US. However, in endemic regions, raw milk consumption accounts for the most common cause of human brucellosis (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). For this study, the number of brucellosis cases publicly provided by the CDC did not delineate the cases based on the source of infection. Therefore, the ease of access to cases of raw milk-acquired brucellosis is paramount to further generate effective brucellosis control and prevention strategies so as to avoid a backward trend of disease outbreaks due to raw milk consumption that occurred in the 1900s. Moreover, in order to reduce the incidence of raw milk-acquired brucellosis, several measures must be implemented including but not limited to promoting pasteurization, restricting the sale and access to raw milk, establishing rigorous quality control of the raw milk sale process, and the development of diagnostic tests for validating the safety of raw milk. This is crucial due to the fact that no diagnostic tests are available or approved for raw milk and milk products in the US or globally (US&#x02014;Food and Drug Administration). Because of the current difficulty in restricting the sale of and access to raw milk, a better approach to limiting the associated disease risks may be an effective regulation of the quality of raw milk provided for human consumption, which will involve integrated efforts from veterinary services, regulations from the Federal Department of Agriculture (FDA), as well as effective training of physicians, farmers, ranchers, and consumers.</p>
<p>To facilitate informed policy decisions about restricting the sale and consumption of raw milk and products in the US, and ultimately reduce the risk of raw milk acquired diseases including brucellosis, an analytical framework was proposed (<xref ref-type="fig" rid="F7">Figure 7</xref>). One of the research priority areas identified was the lack of regional or nation-wide data reporting the sales and purchases of raw milk in the US. This lack of raw milk sales data precluded the probable analyses and conclusions that may demonstrate the direct association of the magnitude of sales and purchases of raw milk with an increased brucellosis prevalence. We argue that data reporting the US regional or state-wide raw milk sales will help to establish the influence of the sales process on disease prevalence in the country. In addition, information about the purchases and demographics of raw milk consumers will help to further understand consumer attitude and behavior toward the consumption of raw milk, and also help to increase awareness about the potential risks of raw-milk acquired diseases. In other words, to formulate policies on the reduction of raw milk sales and distribution, the impact of raw milk production, sales promotion, consumer attitudes, and behavioral patterns must all be critically evaluated (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Additionally, we propose that raw milk sales promotion may influence consumer behavior and motivation by contributing to increased awareness of the availability of raw milk for purchases. Previous studies have shown that the purchase and consumption of raw milk are not restricted to a particular age group, income, education level of consumers, or distance to the place of purchase. In fact, in these studies, there was no association between these factors and raw milk consumption (<xref ref-type="bibr" rid="B21">21</xref>). Therefore, sales promotion, possibly through social media networks, likely presents a huge influence on consumer attitude and motivation for raw milk consumption.</p>
<p>The findings in this current study have demonstrated that media advocacy and public opinion possibly contribute to increased trend of raw milk consumption in different US regions, and that several factors might be involved in the prevalence of raw milk-acquired diseases like brucellosis. Additionally, the evidence gaps identified in this study have provided a strong basis for future investigations and the development of effective strategies to alleviate the risks associated with raw milk-acquired infectious diseases including brucellosis. This will help to prevent outbreaks of human brucellosis in the US, which can have both direct and indirect implications including increased healthcare costs and potential threats to food safety and security due to the loss of livestock production. Evidence-informed health policies are most effective when guided by science, consumer preferences, and political reality. Hence, we strongly recommend an interdisciplinary approach and effort toward the building of the raw milk consumption evidence base.</p>
</sec>
<sec sec-type="data-availability-statement" id="s5">
<title>Data Availability Statement</title>
<p>All datasets generated for this study are included in the article/Supplementary Material.</p>
</sec>
<sec id="s6">
<title>Author Contributions</title>
<p>SA, AF, GR, and AA-G: conceptualization. SA, MF, and GR: data curation. SA, GR, and LP: formal analysis. SA, GR, and AA-G: investigation. SA, GR, MF, and LP: methodology. SA, AF, MF, LP, and AA-G: resources. AA-G: supervision. SA, GR, and AA-G: writing&#x02014;original draft. SA, AF, MF, LP, and AA-G: writing&#x02014;review &#x00026; editing.</p>
<sec>
<title>Conflict of Interest</title>
<p>AF is a managing partner of NanoRelease Technologies (NRT), LLC Inc., has a 95% equity interest in NRT, a company involved in vaccine delivery platforms. The terms of this arrangement have been reviewed and approved by TXAgriLife Research and Texas A&#x00026;M University in accordance with their conflict of interest policies. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</sec>
</body>
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<fn fn-type="financial-disclosure"><p><bold>Funding.</bold> This work was supported by National Institutes of Health (NIH) International Research Scientist Development Award (IRSDA/K01) (Award number: K01 TW009981-01). President&#x00027;s Excellence Funds (T3: Texas A&#x00026;M Triads for Transformation), Texas A&#x00026;M University, College Station, Texas, USA. The funders had no role in study design, data collection, and analysis, decision to publish, or preparation of the manuscript.</p></fn>
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