Spatial distribution of urinary schistosomiasis in Cross River State, Nigeria using geographical information system and school based questionnaire.
Identifieur interne : 000161 ( PubMed/Corpus ); précédent : 000160; suivant : 000162Spatial distribution of urinary schistosomiasis in Cross River State, Nigeria using geographical information system and school based questionnaire.
Auteurs : H A Adie ; O E Okon ; G A Arong ; E I Braide ; U F EkpoSource :
- Pakistan journal of biological sciences : PJBS [ 1028-8880 ] ; 2013.
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : Nigeria.
- epidemiology : Schistosomiasis.
- isolation & purification : Schistosoma.
- statistics & numerical data : Schools.
- urine : Schistosomiasis.
- Adolescent, Animals, Child, Female, Geographic Information Systems, Humans, Male, Prevalence, Surveys and Questionnaires.
Abstract
Urinary schistosomiasis is a serious disease in Cross River State, Nigeria. Dearth of information on its distribution has hampered the implementation of focused control of the disease. The availability of a rapid method for mapping the disease necessitated this research to provide data for control of Urinary schistosomiasis in Cross River State, Nigeria. The study used a rapid validated school-based questionnaire method in mapping schistosomiasis. Geographical information system (GIS) software tools were used to produce a spatial map for prevalence of infection and areas at risk for urinary schistosomiasis in Cross River State. Data analysis with SPSS package revealed that 9,993 (10.2%) female and 10,328 (10.0%) male pupils in 218 schools passed blood in urine in one month out of 199,794 pupils interviewed. There was no statistically significant difference in the prevalence between male and female pupils with infection (p < 0.005). The prevalence of urinary schistosomiasis using questionnaire method correlated positively with the filtration method used in determining the egg output (r = 0.71, p < 0.001). Endemic schools were distributed in thirteen Local Government Areas of Cross River State, Nigeria. Yala and Yakurr LGAs had the highest number of schools that reported schistosomiasis with 39 (59%) and 13 (59%), respectively. Odukpani LGA had the lowest prevalence of 1 (0.2%). The overall results showed a mean urinary schistosomiasis prevalence of 10.2% for Cross River State, Nigeria. The findings of this study would guide Government and other relevant agencies in the implementation of control strategies for the treatment of urinary schistosomiasis in Cross River State, Nigeria.
PubMed: 24506017
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Dearth of information on its distribution has hampered the implementation of focused control of the disease. The availability of a rapid method for mapping the disease necessitated this research to provide data for control of Urinary schistosomiasis in Cross River State, Nigeria. The study used a rapid validated school-based questionnaire method in mapping schistosomiasis. Geographical information system (GIS) software tools were used to produce a spatial map for prevalence of infection and areas at risk for urinary schistosomiasis in Cross River State. Data analysis with SPSS package revealed that 9,993 (10.2%) female and 10,328 (10.0%) male pupils in 218 schools passed blood in urine in one month out of 199,794 pupils interviewed. There was no statistically significant difference in the prevalence between male and female pupils with infection (p < 0.005). The prevalence of urinary schistosomiasis using questionnaire method correlated positively with the filtration method used in determining the egg output (r = 0.71, p < 0.001). Endemic schools were distributed in thirteen Local Government Areas of Cross River State, Nigeria. Yala and Yakurr LGAs had the highest number of schools that reported schistosomiasis with 39 (59%) and 13 (59%), respectively. Odukpani LGA had the lowest prevalence of 1 (0.2%). The overall results showed a mean urinary schistosomiasis prevalence of 10.2% for Cross River State, Nigeria. The findings of this study would guide Government and other relevant agencies in the implementation of control strategies for the treatment of urinary schistosomiasis in Cross River State, Nigeria.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24506017</PMID><DateCreated><Year>2014</Year><Month>02</Month><Day>10</Day></DateCreated><DateCompleted><Year>2014</Year><Month>04</Month><Day>03</Day></DateCompleted><DateRevised><Year>2015</Year><Month>11</Month><Day>19</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1028-8880</ISSN><JournalIssue CitedMedium="Print"><Volume>16</Volume><Issue>20</Issue><PubDate><Year>2013</Year><Month>Oct</Month><Day>15</Day></PubDate></JournalIssue><Title>Pakistan journal of biological sciences : PJBS</Title><ISOAbbreviation>Pak. J. Biol. Sci.</ISOAbbreviation></Journal><ArticleTitle>Spatial distribution of urinary schistosomiasis in Cross River State, Nigeria using geographical information system and school based questionnaire.</ArticleTitle><Pagination><MedlinePgn>1166-72</MedlinePgn></Pagination><Abstract><AbstractText>Urinary schistosomiasis is a serious disease in Cross River State, Nigeria. Dearth of information on its distribution has hampered the implementation of focused control of the disease. The availability of a rapid method for mapping the disease necessitated this research to provide data for control of Urinary schistosomiasis in Cross River State, Nigeria. The study used a rapid validated school-based questionnaire method in mapping schistosomiasis. Geographical information system (GIS) software tools were used to produce a spatial map for prevalence of infection and areas at risk for urinary schistosomiasis in Cross River State. Data analysis with SPSS package revealed that 9,993 (10.2%) female and 10,328 (10.0%) male pupils in 218 schools passed blood in urine in one month out of 199,794 pupils interviewed. There was no statistically significant difference in the prevalence between male and female pupils with infection (p < 0.005). The prevalence of urinary schistosomiasis using questionnaire method correlated positively with the filtration method used in determining the egg output (r = 0.71, p < 0.001). Endemic schools were distributed in thirteen Local Government Areas of Cross River State, Nigeria. Yala and Yakurr LGAs had the highest number of schools that reported schistosomiasis with 39 (59%) and 13 (59%), respectively. Odukpani LGA had the lowest prevalence of 1 (0.2%). The overall results showed a mean urinary schistosomiasis prevalence of 10.2% for Cross River State, Nigeria. The findings of this study would guide Government and other relevant agencies in the implementation of control strategies for the treatment of urinary schistosomiasis in Cross River State, Nigeria.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Adie</LastName><ForeName>H A</ForeName><Initials>HA</Initials><AffiliationInfo><Affiliation>Ministry of Health Calabar, Nigeria.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Okon</LastName><ForeName>O E</ForeName><Initials>OE</Initials><AffiliationInfo><Affiliation>Department of Zoology and Environmental Biology, University of Calabar, Nigeria.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Arong</LastName><ForeName>G A</ForeName><Initials>GA</Initials><AffiliationInfo><Affiliation>Department of Zoology and Environmental Biology, University of Calabar, Nigeria.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Braide</LastName><ForeName>E I</ForeName><Initials>EI</Initials><AffiliationInfo><Affiliation>Federal University, Lafia, Nasarawa State, Nigeria.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ekpo</LastName><ForeName>U F</ForeName><Initials>UF</Initials><AffiliationInfo><Affiliation>Department of Biological Sciences, University of Agriculture, Abeokuta, Nigeria.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Pakistan</Country><MedlineTA>Pak J Biol Sci</MedlineTA><NlmUniqueID>101247723</NlmUniqueID><ISSNLinking>1028-8880</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D040362" MajorTopicYN="N">Geographic Information Systems</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009549" MajorTopicYN="N" Type="Geographic">Nigeria</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012547" MajorTopicYN="N">Schistosoma</DescriptorName><QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012552" MajorTopicYN="N">Schistosomiasis</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000652" MajorTopicYN="Y">urine</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012574" MajorTopicYN="N">Schools</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011795" MajorTopicYN="N">Surveys and Questionnaires</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>2</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>2</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>4</Month><Day>4</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">24506017</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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