Modelling the geographical distribution of soil-transmitted helminth infections in Bolivia
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , , , |
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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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). No. of bitstreams: 1 1111.pdf: 3445032 bytes, checksum: 691177ea282e75e5c13a879965cab318 (MD5) Previous issue date: 2013SalvadorParasites and Vectorshttp://www.parasitesandvectors.com/content/pdf/1756-3305-6-152.pdfreponame:Repositório Institucional da UFBAinstname:Universidade Federal da Bahia (UFBA)instacron:UFBABayesian modellingBoliviaGeostatistical variable selectionMappingSoil-transmitted helminthsModelling the geographical distribution of soil-transmitted helminth infections in BoliviaParasites and Vectorsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessengORIGINAL1111.pdf1111.pdfapplication/pdf3445032https://repositorio.ufba.br/bitstream/ri/13932/1/1111.pdf691177ea282e75e5c13a879965cab318MD51LICENSElicense.txtlicense.txttext/plain1345https://repositorio.ufba.br/bitstream/ri/13932/2/license.txtff6eaa8b858ea317fded99f125f5fcd0MD52TEXT1111.pdf.txt1111.pdf.txtExtracted texttext/plain56064https://repositorio.ufba.br/bitstream/ri/13932/3/1111.pdf.txtd1b3c19f4758d8fd36d2a170551777ceMD53ri/139322022-02-20 23:47:33.064oai:repositorio.ufba.br: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Repositório InstitucionalPUBhttp://192.188.11.11:8080/oai/requestopendoar:19322022-02-21T02:47:33Repositório Institucional da UFBA - Universidade Federal da Bahia (UFBA)false |
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 |
format |
article |
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publishedVersion |
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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 |
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http://www.parasitesandvectors.com/content/pdf/1756-3305-6-152.pdf |
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reponame:Repositório Institucional da UFBA instname:Universidade Federal da Bahia (UFBA) instacron:UFBA |
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Universidade Federal da Bahia (UFBA) |
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UFBA |
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Repositório Institucional da UFBA |
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Repositório Institucional da UFBA |
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