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Quantifying human-animal contact rates in Malaysian Borneo: Influence of agricultural landscapes on contact with potential zoonotic disease reservoirs.
Klim, Hannah; William, Timothy; Chua, Tock H; Rajahram, Giri S; Drakeley, Chris J; Carroll, Miles W; Fornace, Kimberly M.
Afiliação
  • Klim H; Wellcome Centre for Human Genetics and Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • William T; Future of Humanity Institute, Faculty of Philosophy, University of Oxford, Oxford, United Kingdom.
  • Chua TH; Infectious Diseases Society Sabah-Menzies School of Health Research Clinical Research Unit, Kota Kinabalu, Malaysia.
  • Rajahram GS; Gleneagles Hospital, Kota Kinabalu, Malaysia.
  • Drakeley CJ; Clinical Research Centre, Queen Elizabeth II Hospital, Kota Kinabalu, Malaysia.
  • Carroll MW; Faculty of Medicine and Health Sciences, University of Malaysia Sabah, Kota Kinabalu, Malaysia.
  • Fornace KM; Clinical Research Centre, Queen Elizabeth II Hospital, Kota Kinabalu, Malaysia.
Front Epidemiol ; 2: 1057047, 2022.
Article em En | MEDLINE | ID: mdl-38455308
ABSTRACT
Changing landscapes across the globe, but particularly in Southeast Asia, are pushing humans and animals closer together and may increase the likelihood of zoonotic spillover events. Malaysian Borneo is hypothesized to be at high risk of spillover events due to proximity between reservoir species and humans caused by recent deforestation in the region. However, the relationship between landscape and human-animal contact rates has yet to be quantified. An environmentally stratified cross-sectional survey was conducted in Sabah, Malaysia in 2015, collecting geolocated questionnaire data on potential risk factors for contact with animals for 10,100 individuals. 51% of individuals reported contact with poultry, 46% with NHPs, 30% with bats, and 2% with swine. Generalised linear mixed models identified occupational and demographic factors associated with increased contact with these species, which varied when comparing wildlife to domesticated animals. Reported contact rates with each animal group were integrated with remote sensing-derived environmental data within a Bayesian framework to identify regions with high probabilities of contact with animal reservoirs. We have identified high spatial heterogeneity of contact with animals and clear associations between agricultural practices and high animal rates. This approach will help inform public health campaigns in at-risk populations and can improve pathogen surveillance efforts on Malaysian Borneo. This method can additionally serve as a framework for researchers looking to identify targets for future pathogen detection in a chosen region of study.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Epidemiol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Epidemiol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido