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Article: Estimating the intensity of infection with Schistosoma japonicum in villagers of Leyte, Philippines. Part I: A Bayesian cumulative logit model. The schistosomiasis transmission & ecology project (STEP)

TitleEstimating the intensity of infection with Schistosoma japonicum in villagers of Leyte, Philippines. Part I: A Bayesian cumulative logit model. The schistosomiasis transmission & ecology project (STEP)
Authors
Issue Date2005
PublisherAmerican Society of Tropical Medicine and Hygiene. The Journal's web site is located at http://www.ajtmh.org/
Citation
American Journal of Tropical Medicine And Hygiene, 2005, v. 72 n. 6, p. 745-753 How to Cite?
AbstractIntensity profiles for helminths are used to describe population infection status, monitor effectiveness of control programs, and provide accurate data to validate transmission models. This study aims to accurately predict age/gender specific intensity profiles of endemic schistosomiasis japonica infection in the Philippines. Poor sensitivity of the Kato-Katz test and large heterogeneity in infection levels across villages complicate these predictions. Data from 1,989 individuals living in three endemic villages were analyzed with a Bayesian cumulative-logit model adjusting for nonproportional odds, variation between villages, and measurement error. The posterior uncertainty regarding the proportion of individuals in each egg category was high compared with that estimated using a model ignoring measurement error and villages' heterogeneity. The intensity profiles were very different in children less than 7 years old compared with older children and adults. This model could easily be adapted to other parasitic infections or outcomes where an analysis by category would be recommended. Copyright © 2005 by The American Society of Tropical Medicine and Hygiene.
Persistent Identifierhttp://hdl.handle.net/10722/151610
ISSN
2015 Impact Factor: 2.453
2015 SCImago Journal Rankings: 1.488
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorCarabin, Hen_US
dc.contributor.authorMarshall, CMen_US
dc.contributor.authorJoseph, Len_US
dc.contributor.authorRiley, Sen_US
dc.contributor.authorOlveda, Ren_US
dc.contributor.authorMcgarvey, STen_US
dc.date.accessioned2012-06-26T06:25:26Z-
dc.date.available2012-06-26T06:25:26Z-
dc.date.issued2005en_US
dc.identifier.citationAmerican Journal of Tropical Medicine And Hygiene, 2005, v. 72 n. 6, p. 745-753en_US
dc.identifier.issn0002-9637en_US
dc.identifier.urihttp://hdl.handle.net/10722/151610-
dc.description.abstractIntensity profiles for helminths are used to describe population infection status, monitor effectiveness of control programs, and provide accurate data to validate transmission models. This study aims to accurately predict age/gender specific intensity profiles of endemic schistosomiasis japonica infection in the Philippines. Poor sensitivity of the Kato-Katz test and large heterogeneity in infection levels across villages complicate these predictions. Data from 1,989 individuals living in three endemic villages were analyzed with a Bayesian cumulative-logit model adjusting for nonproportional odds, variation between villages, and measurement error. The posterior uncertainty regarding the proportion of individuals in each egg category was high compared with that estimated using a model ignoring measurement error and villages' heterogeneity. The intensity profiles were very different in children less than 7 years old compared with older children and adults. This model could easily be adapted to other parasitic infections or outcomes where an analysis by category would be recommended. Copyright © 2005 by The American Society of Tropical Medicine and Hygiene.en_US
dc.languageengen_US
dc.publisherAmerican Society of Tropical Medicine and Hygiene. The Journal's web site is located at http://www.ajtmh.org/en_US
dc.relation.ispartofAmerican Journal of Tropical Medicine and Hygieneen_US
dc.rightsAmerican Journal of Tropical Medicine and Hygiene. Copyright © American Society of Tropical Medicine and Hygiene.-
dc.subject.meshAnimalsen_US
dc.subject.meshBayes Theoremen_US
dc.subject.meshEcologyen_US
dc.subject.meshHumansen_US
dc.subject.meshPhilippines - Epidemiologyen_US
dc.subject.meshSchistosoma Japonicum - Isolation & Purificationen_US
dc.subject.meshSchistosomiasis - Epidemiology - Parasitology - Transmissionen_US
dc.titleEstimating the intensity of infection with Schistosoma japonicum in villagers of Leyte, Philippines. Part I: A Bayesian cumulative logit model. The schistosomiasis transmission & ecology project (STEP)en_US
dc.typeArticleen_US
dc.identifier.emailRiley, S: sriley@hkucc.hku.hk, steven.riley@hku.hken_US
dc.identifier.authorityRiley, S=rp00511en_US
dc.description.naturelink_to_OA_fulltexten_US
dc.identifier.pmid15967758en_US
dc.identifier.scopuseid_2-s2.0-23844471346en_US
dc.identifier.hkuros110078-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-23844471346&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume72en_US
dc.identifier.issue6en_US
dc.identifier.spage745en_US
dc.identifier.epage753en_US
dc.identifier.isiWOS:000229887600017-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridCarabin, H=7003743787en_US
dc.identifier.scopusauthoridMarshall, CM=7201903482en_US
dc.identifier.scopusauthoridJoseph, L=7103166124en_US
dc.identifier.scopusauthoridRiley, S=7102619416en_US
dc.identifier.scopusauthoridOlveda, R=6701313494en_US
dc.identifier.scopusauthoridMcGarvey, ST=7006300581en_US

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