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Integration of animal health and public health surveillance sources to exhaustively inform the risk of zoonosis: An application to visceral leishmaniasis data in Brazil.
Boaz, R; Corberán-Vallet, A; Lawson, A; Ferreira Lima, F E de; Donato, L Edel; Alves, R Vieira; Machado, G; Carvalho M, Freire de; Pompei, Julio; Vilas, V J Del Rio.
Afiliação
  • Boaz R; Medical University of South Carolina, Charleston, USA. Electronic address: boaz@musc.edu.
  • Corberán-Vallet A; University of Valencia, Valencia, Spain.
  • Lawson A; Medical University of South Carolina, Charleston, USA.
  • Ferreira Lima FE; Secretaria de Vigilância em Saúde, Ministério da Saúde (SVS-MH), Brasília, Brazil.
  • Donato LE; Secretaria de Vigilância em Saúde, Ministério da Saúde (SVS-MH), Brasília, Brazil.
  • Alves RV; Secretaria de Vigilância em Saúde, Ministério da Saúde (SVS-MH), Brasília, Brazil.
  • Machado G; Department of Population Health and Pathobiology, College of Veterinary Medicine, Raleigh, North Carolina, USA.
  • Carvalho M F; PANAFTOSA, Pan American Health Organization (PAHO), Rio de Janeiro, Brazil.
  • Pompei J; PANAFTOSA, Pan American Health Organization (PAHO), Rio de Janeiro, Brazil.
  • Vilas VJDR; University of Surrey, Guildford, Surrey, UK.
Spat Spatiotemporal Epidemiol ; 29: 177-185, 2019 06.
Article em En | MEDLINE | ID: mdl-31128627
Visceral leishmaniasis (VL) is a parasitic disease that is endemic in more than 80 countries, and leads to high fatality rates when left untreated. We investigate the relationship of VL cases in dogs and human cases, specifically for evidence of VL in dogs leading to excess cases in humans. We use surveillance data for dogs and humans for the years 2007-2011 to conduct both spatial and spatio-temporal analyses. Several models are evaluated incorporating varying levels of dependency between dog and human data. Models including dog data show marginal improvement over models without; however, for a subset of spatial units with ample data, models provide concordant risk classification for dogs and humans at high rates (∼70%). Limited reported dog case surveillance data may contribute to the results suggesting little explanatory value in the dog data, as excess human risk was only explained by dog risk in 5% of regions in the spatial analysis.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Leishmaniose Visceral Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Animals / Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: Spat Spatiotemporal Epidemiol Ano de publicação: 2019 Tipo de documento: Article País de publicação: Holanda
Texto completo
Adicionar na Minha BVS
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Leishmaniose Visceral Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Animals / Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: Spat Spatiotemporal Epidemiol Ano de publicação: 2019 Tipo de documento: Article País de publicação: Holanda