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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Factors affecting the HIV/AIDS epidemic: an ecological analysis of global data</title><author><name sortKey="Mondal, Mni" sort="Mondal, Mni" uniqKey="Mondal M" first="Mni" last="Mondal">Mni Mondal</name><affiliation><nlm:aff id="A1">Laboratory of Computational Statistics and Operations Research, Institute for Mathematical Research University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Department of Population Science Human Resource Development, Faculty of Science, University of Rajshahi, Rajshahi- 6205, Bangladesh</nlm:aff></affiliation></author><author><name sortKey="Shitan, M" sort="Shitan, M" uniqKey="Shitan M" first="M" last="Shitan">M. Shitan</name><affiliation><nlm:aff id="A1">Laboratory of Computational Statistics and Operations Research, Institute for Mathematical Research University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia</nlm:aff></affiliation><affiliation><nlm:aff id="A2">Department of Mathematics, Faculty of Science, University Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">24235928</idno><idno type="pmc">3824495</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3824495</idno><idno type="RBID">PMC:3824495</idno><idno type="doi">10.4314/ahs.v13i2.15</idno><date when="2013">2013</date><idno type="wicri:Area/Pmc/Corpus">001533</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001533</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Factors affecting the HIV/AIDS epidemic: an ecological analysis of global data</title><author><name sortKey="Mondal, Mni" sort="Mondal, Mni" uniqKey="Mondal M" first="Mni" last="Mondal">Mni Mondal</name><affiliation><nlm:aff id="A1">Laboratory of Computational Statistics and Operations Research, Institute for Mathematical Research University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Department of Population Science Human Resource Development, Faculty of Science, University of Rajshahi, Rajshahi- 6205, Bangladesh</nlm:aff></affiliation></author><author><name sortKey="Shitan, M" sort="Shitan, M" uniqKey="Shitan M" first="M" last="Shitan">M. Shitan</name><affiliation><nlm:aff id="A1">Laboratory of Computational Statistics and Operations Research, Institute for Mathematical Research University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia</nlm:aff></affiliation><affiliation><nlm:aff id="A2">Department of Mathematics, Faculty of Science, University Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia</nlm:aff></affiliation></author></analytic><series><title level="j">African Health Sciences</title><idno type="ISSN">1680-6905</idno><idno type="eISSN">1729-0503</idno><imprint><date when="2013">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>All over the world the prevalence of Human Immunodeficiency Virus (HIV)/Acquired Immune Deficiency Syndrome (AIDS) has became a stumbling stone in progress of human civilization and is a huge concern for people worldwide.</p></sec><sec><title>Objectives</title><p>To determine the social and health factors which contribute to increase the size of HIV epidemic globally.</p></sec><sec sec-type="methods"><title>Methods</title><p>The country level indicators of HIV prevalence rates, are contraceptive prevalence rate, physicians density, proportion of Muslim populations, adolescent fertility rate, and mean year of schooling were compiled of 187 countries from the United Nations (UN) agencies. To extract the major factors from those indicators of the later five categories, backward multiple regression analysis was used as the statistical tool.</p></sec><sec sec-type="results"><title>Results</title><p>The national HIV prevalence rate was significantly correlated with almost all the predictors. Backward multiple linear regression analysis identified the proportion of Muslims, physicians density, and adolescent fertility rate are as the three most prominent factors linked with the national HIV epidemic.</p></sec><sec sec-type="conclusions"><title>Conclusion</title><p>The findings support the hypotheses that a higher adolescent fertility rate in the population is the adverse effect of premarital and extramarital sex that leads to longer period of sexual activity which increases the risk of HIV infection. On the hand, and cultural restrictions of Muslims and sufficient physicians will decelerate the spread of HIV infections in the society.</p></sec></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Afr Health Sci</journal-id><journal-id journal-id-type="iso-abbrev">Afr Health Sci</journal-id><journal-title-group><journal-title>African Health Sciences</journal-title></journal-title-group><issn pub-type="ppub">1680-6905</issn><issn pub-type="epub">1729-0503</issn><publisher><publisher-name>Makerere Medical School</publisher-name><publisher-loc>Kampala, Uganda</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">24235928</article-id><article-id pub-id-type="pmc">3824495</article-id><article-id pub-id-type="publisher-id">jAFHS.v13.i2.pg301</article-id><article-id pub-id-type="doi">10.4314/ahs.v13i2.15</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Articles</subject></subj-group></article-categories><title-group><article-title>Factors affecting the HIV/AIDS epidemic: an ecological analysis of global data</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Mondal</surname><given-names>MNI</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Shitan</surname><given-names>M</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref></contrib></contrib-group><aff id="A1"><label>1</label>Laboratory of Computational Statistics and Operations Research, Institute for Mathematical Research University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia</aff><aff id="A2"><label>2</label>Department of Mathematics, Faculty of Science, University Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia</aff><aff id="A3"><label>3</label>Department of Population Science Human Resource Development, Faculty of Science, University of Rajshahi, Rajshahi- 6205, Bangladesh</aff><author-notes><corresp><bold>*Corresponding author:</bold> Dr. Md Nazrul Islam Mondal Institute for Mathematical Research University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia Phone: +60389468907 E-mail: <email>nazrul_ru@yahoo.com</email></corresp></author-notes><pub-date pub-type="ppub"><month>6</month><year>2013</year></pub-date><volume>13</volume><issue>2</issue><fpage>301</fpage><lpage>310</lpage><permissions><copyright-statement>Copyright © Makerere Medical School, Uganda 2013</copyright-statement><copyright-year>2013</copyright-year></permissions><abstract abstract-type="executive-summary"><sec><title>Background</title><p>All over the world the prevalence of Human Immunodeficiency Virus (HIV)/Acquired Immune Deficiency Syndrome (AIDS) has became a stumbling stone in progress of human civilization and is a huge concern for people worldwide.</p></sec><sec><title>Objectives</title><p>To determine the social and health factors which contribute to increase the size of HIV epidemic globally.</p></sec><sec sec-type="methods"><title>Methods</title><p>The country level indicators of HIV prevalence rates, are contraceptive prevalence rate, physicians density, proportion of Muslim populations, adolescent fertility rate, and mean year of schooling were compiled of 187 countries from the United Nations (UN) agencies. To extract the major factors from those indicators of the later five categories, backward multiple regression analysis was used as the statistical tool.</p></sec><sec sec-type="results"><title>Results</title><p>The national HIV prevalence rate was significantly correlated with almost all the predictors. Backward multiple linear regression analysis identified the proportion of Muslims, physicians density, and adolescent fertility rate are as the three most prominent factors linked with the national HIV epidemic.</p></sec><sec sec-type="conclusions"><title>Conclusion</title><p>The findings support the hypotheses that a higher adolescent fertility rate in the population is the adverse effect of premarital and extramarital sex that leads to longer period of sexual activity which increases the risk of HIV infection. On the hand, and cultural restrictions of Muslims and sufficient physicians will decelerate the spread of HIV infections in the society.</p></sec></abstract><kwd-group><kwd>HIV/AIDS epidemic</kwd><kwd>adolescent fertility rate</kwd><kwd>contraceptive prevalence rate</kwd></kwd-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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