A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of rattiness in a low-income urban Brazilian community
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da FIOCRUZ (ARCA) |
Texto Completo: | https://www.arca.fiocruz.br/handle/icict/44075 |
Resumo: | Ministério da Ciência, Tecnologia e Inovação, the Conselho Nacional de Desenvolvimento Científico e Tecnológico; the Fundação de Amparo à Pesquisa do Estado da Bahia (grant no. 10206/20155); the Fundação Oswaldo Cruz; Research Councils UK, the Medical Research Council (grant nos. 1964635, MR/P024084/1 and MR/T029781/1); the Ministério da Saúde; the U.S. Department of Health and Human Services, the National Institutes of Health, the National Institute of Allergy and Infectious Diseases (grant nos. F31 AI114245, R01 AI052473, R01 TW009504, R25 TW009338 and U01 AI088752); the Secretaria Municipal de Saúde de Salvador-BA; and the Wellcome Trust (grant nos. 102330/Z/13/Z and 218987/Z/19/Z). MTE is in receipt of a studentship from the Medical Research Council, United Kingdom. |
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Eyre, Max T.Pereira, Ticiana S. A. CarvalhoSouza, Fábio N.Khalilus, HseinHacker, Kathryn P.Serrano, SoledadTaylor, Joshua P.Reis, Mitermayer Galvão dosKo, Albert IcksangBegon, MikeDiggle, Peter JCosta, FedericoGiorgi, Emanuele2020-10-20T11:58:43Z2020-10-20T11:58:43Z2020EYRE, Max T. et al. A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of rattiness in a low-income urban Brazilian community. Journal of the Royal Society, Interface, 2020.1742-5689https://www.arca.fiocruz.br/handle/icict/4407510.1098/rsif.2020.0398Ministério da Ciência, Tecnologia e Inovação, the Conselho Nacional de Desenvolvimento Científico e Tecnológico; the Fundação de Amparo à Pesquisa do Estado da Bahia (grant no. 10206/20155); the Fundação Oswaldo Cruz; Research Councils UK, the Medical Research Council (grant nos. 1964635, MR/P024084/1 and MR/T029781/1); the Ministério da Saúde; the U.S. Department of Health and Human Services, the National Institutes of Health, the National Institute of Allergy and Infectious Diseases (grant nos. F31 AI114245, R01 AI052473, R01 TW009504, R25 TW009338 and U01 AI088752); the Secretaria Municipal de Saúde de Salvador-BA; and the Wellcome Trust (grant nos. 102330/Z/13/Z and 218987/Z/19/Z). MTE is in receipt of a studentship from the Medical Research Council, United Kingdom.Lancaster University Medical School. Centre for Health Informatics, Computing, and Statistics. Lancaster, UK / Liverpool School of Tropical Medicine. Liverpool, UK.Federal University of Bahia. Institute of Collective Health. Salvador, BA, Brazil.Federal University of Bahia. Institute of Collective Health. Salvador, BA, Brazil.Federal University of Bahia. Institute of Collective Health. Salvador, BA, Brazil / Swedish University of Agricultural Sciences. Umeå, Sweden.University of Pennsylvania. Philadelphia, PA, USA.Instituto de Investigaciones Forestales y Agropecuarias Bariloche.San Carlos de Bariloche, Río Negro, Argentina.Instituto de Investigaciones Forestales y Agropecuarias Bariloche.San Carlos de Bariloche, Río Negro, Argentina.Federal University of Bahia. Institute of Collective Health. Salvador, BA, Brazil / Fundação Oswaldo Cruz. instituto Gonçalo Moniz. Salvador, BA, Brasil.Fundação Oswaldo Cruz. instituto Gonçalo Moniz. Salvador, BA, Brasil / Yale School of Public Health. Department of Epidemiology of Microbial Diseases. New Haven, USA.University of Liverpool. Department of Evolution, Ecology and Behaviour. Liverpool, UK.Lancaster University Medical School. Centre for Health Informatics, Computing, and Statistics. Lancaster, UKFederal University of Bahia. Institute of Collective Health. Salvador, BA, Brazil / Fundação Oswaldo Cruz. instituto Gonçalo Moniz. Salvador, BA, Brasil / Yale School of Public Health. Department of Epidemiology of Microbial Diseases. New Haven, USA.Lancaster University Medical School. Centre for Health Informatics, Computing, and Statistics. Lancaster, UK.A key requirement in studies of endemic vector-borne or zoonotic disease is an estimate of the spatial variation in vector or reservoir host abundance. For many vector species, multiple indices of abundance are available, but current approaches to choosing between or combining these indices do not fully exploit the potential inferential benefits that might accrue from modelling their joint spatial distribution. Here, we develop a class of multivariate generalized linear geostatistical models for multiple indices of abundance. We illustrate this novel methodology with a case study on Norway rats in a low-income urban Brazilian community, where rat abundance is a likely risk factor for human leptospirosis. We combine three indices of rat abundance to draw predictive inferences on a spatially continuous latent process, rattiness, that acts as a proxy for abundance.We show how to explore the association between rattiness and spatially varying environmental factors, evaluate the relative importance of each of the three contributing indices and assess the presence of residual, unexplained spatial variation, and identify rattiness hotspots. The proposed methodology is applicable more generally as a tool for understanding the role of vector or reservoir host abundance in predicting spatial variation in the risk of human disease.engThe Royal Society [SocietyEpidemiologiaZoonosesDoenças transmitidas por vetoresLeptospiroseRatosEpidemiologyAbundance indicesZoonotic and vector-borne diseasesMultivariate modelbased geostatisticsLeptospirosisNorway ratA multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of rattiness in a low-income urban Brazilian communityinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/44075/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALEyre Max T A 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dc.title.pt_BR.fl_str_mv |
A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of rattiness in a low-income urban Brazilian community |
title |
A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of rattiness in a low-income urban Brazilian community |
spellingShingle |
A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of rattiness in a low-income urban Brazilian community Eyre, Max T. Epidemiologia Zoonoses Doenças transmitidas por vetores Leptospirose Ratos Epidemiology Abundance indices Zoonotic and vector-borne diseases Multivariate modelbased geostatistics Leptospirosis Norway rat |
title_short |
A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of rattiness in a low-income urban Brazilian community |
title_full |
A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of rattiness in a low-income urban Brazilian community |
title_fullStr |
A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of rattiness in a low-income urban Brazilian community |
title_full_unstemmed |
A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of rattiness in a low-income urban Brazilian community |
title_sort |
A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of rattiness in a low-income urban Brazilian community |
author |
Eyre, Max T. |
author_facet |
Eyre, Max T. Pereira, Ticiana S. A. Carvalho Souza, Fábio N. Khalilus, Hsein Hacker, Kathryn P. Serrano, Soledad Taylor, Joshua P. Reis, Mitermayer Galvão dos Ko, Albert Icksang Begon, Mike Diggle, Peter J Costa, Federico Giorgi, Emanuele |
author_role |
author |
author2 |
Pereira, Ticiana S. A. Carvalho Souza, Fábio N. Khalilus, Hsein Hacker, Kathryn P. Serrano, Soledad Taylor, Joshua P. Reis, Mitermayer Galvão dos Ko, Albert Icksang Begon, Mike Diggle, Peter J Costa, Federico Giorgi, Emanuele |
author2_role |
author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Eyre, Max T. Pereira, Ticiana S. A. Carvalho Souza, Fábio N. Khalilus, Hsein Hacker, Kathryn P. Serrano, Soledad Taylor, Joshua P. Reis, Mitermayer Galvão dos Ko, Albert Icksang Begon, Mike Diggle, Peter J Costa, Federico Giorgi, Emanuele |
dc.subject.other.pt_BR.fl_str_mv |
Epidemiologia Zoonoses Doenças transmitidas por vetores Leptospirose Ratos |
topic |
Epidemiologia Zoonoses Doenças transmitidas por vetores Leptospirose Ratos Epidemiology Abundance indices Zoonotic and vector-borne diseases Multivariate modelbased geostatistics Leptospirosis Norway rat |
dc.subject.en.pt_BR.fl_str_mv |
Epidemiology Abundance indices Zoonotic and vector-borne diseases Multivariate modelbased geostatistics Leptospirosis Norway rat |
description |
Ministério da Ciência, Tecnologia e Inovação, the Conselho Nacional de Desenvolvimento Científico e Tecnológico; the Fundação de Amparo à Pesquisa do Estado da Bahia (grant no. 10206/20155); the Fundação Oswaldo Cruz; Research Councils UK, the Medical Research Council (grant nos. 1964635, MR/P024084/1 and MR/T029781/1); the Ministério da Saúde; the U.S. Department of Health and Human Services, the National Institutes of Health, the National Institute of Allergy and Infectious Diseases (grant nos. F31 AI114245, R01 AI052473, R01 TW009504, R25 TW009338 and U01 AI088752); the Secretaria Municipal de Saúde de Salvador-BA; and the Wellcome Trust (grant nos. 102330/Z/13/Z and 218987/Z/19/Z). MTE is in receipt of a studentship from the Medical Research Council, United Kingdom. |
publishDate |
2020 |
dc.date.accessioned.fl_str_mv |
2020-10-20T11:58:43Z |
dc.date.available.fl_str_mv |
2020-10-20T11:58:43Z |
dc.date.issued.fl_str_mv |
2020 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
EYRE, Max T. et al. A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of rattiness in a low-income urban Brazilian community. Journal of the Royal Society, Interface, 2020. |
dc.identifier.uri.fl_str_mv |
https://www.arca.fiocruz.br/handle/icict/44075 |
dc.identifier.issn.pt_BR.fl_str_mv |
1742-5689 |
dc.identifier.doi.none.fl_str_mv |
10.1098/rsif.2020.0398 |
identifier_str_mv |
EYRE, Max T. et al. A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of rattiness in a low-income urban Brazilian community. Journal of the Royal Society, Interface, 2020. 1742-5689 10.1098/rsif.2020.0398 |
url |
https://www.arca.fiocruz.br/handle/icict/44075 |
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eng |
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eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
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The Royal Society [Society |
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The Royal Society [Society |
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