Modelling the geographical distribution of soil-transmitted helminth infections in Bolivia

Detalhes bibliográficos
Autor(a) principal: Chammartin, Frédérique
Data de Publicação: 2013
Outros Autores: Scholte, Ronaldo G. C., Malone, John B., Bavia, Maria Emília, Nieto, Prixia, Utzinger, Jürg, Vounatsou, Penelope
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFBA
Texto Completo: http://repositorio.ufba.br/ri/handle/ri/13932
Resumo: p. 1-14
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spelling Chammartin, FrédériqueScholte, Ronaldo G. C.Malone, John B.Bavia, Maria EmíliaNieto, PrixiaUtzinger, JürgVounatsou, Penelope2013-11-26T13:18:56Z2013-11-26T13:18:56Z20131756-3305http://repositorio.ufba.br/ri/handle/ri/13932p. 1-14Background: The prevalence of infection with the three common soil-transmitted helminths (i.e. Ascaris lumbricoides, Trichuris trichiura, and hookworm) in Bolivia is among the highest in Latin America. However, the spatial distribution and burden of soil-transmitted helminthiasis are poorly documented. Methods: We analysed historical survey data using Bayesian geostatistical models to identify determinants of the distribution of soil-transmitted helminth infections, predict the geographical distribution of infection risk, and assess treatment needs and costs in the frame of preventive chemotherapy. Rigorous geostatistical variable selection identified the most important predictors of A. lumbricoides, T. trichiura, and hookworm transmission. Results: Results show that precipitation during the wettest quarter above 400 mm favours the distribution of A. lumbricoides. Altitude has a negative effect on T. trichiura. Hookworm is sensitive to temperature during the coldest month. We estimate that 38.0%, 19.3%, and 11.4% of the Bolivian population is infected with A. lumbricoides, T. trichiura, and hookworm, respectively. Assuming independence of the three infections, 48.4% of the population is infected with any soil-transmitted helminth. Empirical-based estimates, according to treatment recommendations by the World Health Organization, suggest a total of 2.9 million annualised treatments for the control of soil-transmitted helminthiasis in Bolivia. Conclusions: We provide estimates of soil-transmitted helminth infections in Bolivia based on high-resolution spatial prediction and an innovative variable selection approach. However, the scarcity of the data suggests that a national survey is required for more accurate mapping that will govern spatial targeting of soil-transmitted helminthiasis control.Submitted by Santiago Fabio (fabio.ssantiago@hotmail.com) on 2013-11-13T18:35:52Z No. of bitstreams: 1 1111.pdf: 3445032 bytes, checksum: 691177ea282e75e5c13a879965cab318 (MD5)Approved for entry into archive by Rodrigo Meirelles (rodrigomei@ufba.br) on 2013-11-26T13:18:55Z (GMT) No. of bitstreams: 1 1111.pdf: 3445032 bytes, checksum: 691177ea282e75e5c13a879965cab318 (MD5)Made available in DSpace on 2013-11-26T13:18:56Z (GMT). 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dc.title.pt_BR.fl_str_mv Modelling the geographical distribution of soil-transmitted helminth infections in Bolivia
dc.title.alternative.pt_BR.fl_str_mv Parasites and Vectors
title Modelling the geographical distribution of soil-transmitted helminth infections in Bolivia
spellingShingle Modelling the geographical distribution of soil-transmitted helminth infections in Bolivia
Chammartin, Frédérique
Bayesian modelling
Bolivia
Geostatistical variable selection
Mapping
Soil-transmitted helminths
title_short Modelling the geographical distribution of soil-transmitted helminth infections in Bolivia
title_full Modelling the geographical distribution of soil-transmitted helminth infections in Bolivia
title_fullStr Modelling the geographical distribution of soil-transmitted helminth infections in Bolivia
title_full_unstemmed Modelling the geographical distribution of soil-transmitted helminth infections in Bolivia
title_sort Modelling the geographical distribution of soil-transmitted helminth infections in Bolivia
author Chammartin, Frédérique
author_facet Chammartin, Frédérique
Scholte, Ronaldo G. C.
Malone, John B.
Bavia, Maria Emília
Nieto, Prixia
Utzinger, Jürg
Vounatsou, Penelope
author_role author
author2 Scholte, Ronaldo G. C.
Malone, John B.
Bavia, Maria Emília
Nieto, Prixia
Utzinger, Jürg
Vounatsou, Penelope
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Chammartin, Frédérique
Scholte, Ronaldo G. C.
Malone, John B.
Bavia, Maria Emília
Nieto, Prixia
Utzinger, Jürg
Vounatsou, Penelope
dc.subject.por.fl_str_mv Bayesian modelling
Bolivia
Geostatistical variable selection
Mapping
Soil-transmitted helminths
topic Bayesian modelling
Bolivia
Geostatistical variable selection
Mapping
Soil-transmitted helminths
description p. 1-14
publishDate 2013
dc.date.accessioned.fl_str_mv 2013-11-26T13:18:56Z
dc.date.available.fl_str_mv 2013-11-26T13:18:56Z
dc.date.issued.fl_str_mv 2013
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://repositorio.ufba.br/ri/handle/ri/13932
dc.identifier.issn.none.fl_str_mv 1756-3305
identifier_str_mv 1756-3305
url http://repositorio.ufba.br/ri/handle/ri/13932
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Parasites and Vectors
publisher.none.fl_str_mv Parasites and Vectors
dc.source.pt_BR.fl_str_mv http://www.parasitesandvectors.com/content/pdf/1756-3305-6-152.pdf
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