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Spatiotemporal Dynamics of Hantavirus Cardiopulmonary Syndrome Transmission Risk in Brazil
by
Niebuhr, Bernardo
, Marshall, Jonathan
, Sobral-Souza, Thadeu
, Ribeiro, Milton
, Muylaert, Renata
, Oliveira, Stefan
, Bovendorp, Ricardo
, Hayman, David
, Oshima, Júlia
, Sabino-Santos, Gilberto
, Prist, Paula
in
approximate bayesian inference
/ at-risk population
/ Biodiversity
/ Brazil
/ climate
/ corn
/ disease incidence
/ Disease prevention
/ emerging diseases
/ Forestry
/ forests
/ Hantavirus
/ Health surveillance
/ hosts
/ humans
/ indigenous species
/ Infections
/ integrated nested laplace approximations
/ Investigations
/ Laboratories
/ land policy
/ Land use
/ land use change
/ Landscape
/ landscapes
/ latent gaussian models
/ Neotropics
/ Orthohantavirus
/ Pasture
/ pastures
/ Plantations
/ polygon-based analysis
/ Population growth
/ public health
/ risk
/ risk assessment
/ rodents
/ Rural areas
/ Sigmodontinae
/ Small mammals
/ socioeconomics
/ Sugarcane
/ temperature
/ zero inflation
2019
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Spatiotemporal Dynamics of Hantavirus Cardiopulmonary Syndrome Transmission Risk in Brazil
by
Niebuhr, Bernardo
, Marshall, Jonathan
, Sobral-Souza, Thadeu
, Ribeiro, Milton
, Muylaert, Renata
, Oliveira, Stefan
, Bovendorp, Ricardo
, Hayman, David
, Oshima, Júlia
, Sabino-Santos, Gilberto
, Prist, Paula
in
approximate bayesian inference
/ at-risk population
/ Biodiversity
/ Brazil
/ climate
/ corn
/ disease incidence
/ Disease prevention
/ emerging diseases
/ Forestry
/ forests
/ Hantavirus
/ Health surveillance
/ hosts
/ humans
/ indigenous species
/ Infections
/ integrated nested laplace approximations
/ Investigations
/ Laboratories
/ land policy
/ Land use
/ land use change
/ Landscape
/ landscapes
/ latent gaussian models
/ Neotropics
/ Orthohantavirus
/ Pasture
/ pastures
/ Plantations
/ polygon-based analysis
/ Population growth
/ public health
/ risk
/ risk assessment
/ rodents
/ Rural areas
/ Sigmodontinae
/ Small mammals
/ socioeconomics
/ Sugarcane
/ temperature
/ zero inflation
2019
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Spatiotemporal Dynamics of Hantavirus Cardiopulmonary Syndrome Transmission Risk in Brazil
by
Niebuhr, Bernardo
, Marshall, Jonathan
, Sobral-Souza, Thadeu
, Ribeiro, Milton
, Muylaert, Renata
, Oliveira, Stefan
, Bovendorp, Ricardo
, Hayman, David
, Oshima, Júlia
, Sabino-Santos, Gilberto
, Prist, Paula
in
approximate bayesian inference
/ at-risk population
/ Biodiversity
/ Brazil
/ climate
/ corn
/ disease incidence
/ Disease prevention
/ emerging diseases
/ Forestry
/ forests
/ Hantavirus
/ Health surveillance
/ hosts
/ humans
/ indigenous species
/ Infections
/ integrated nested laplace approximations
/ Investigations
/ Laboratories
/ land policy
/ Land use
/ land use change
/ Landscape
/ landscapes
/ latent gaussian models
/ Neotropics
/ Orthohantavirus
/ Pasture
/ pastures
/ Plantations
/ polygon-based analysis
/ Population growth
/ public health
/ risk
/ risk assessment
/ rodents
/ Rural areas
/ Sigmodontinae
/ Small mammals
/ socioeconomics
/ Sugarcane
/ temperature
/ zero inflation
2019
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Spatiotemporal Dynamics of Hantavirus Cardiopulmonary Syndrome Transmission Risk in Brazil
Journal Article
Spatiotemporal Dynamics of Hantavirus Cardiopulmonary Syndrome Transmission Risk in Brazil
2019
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Overview
Background: Hantavirus disease in humans is rare but frequently lethal in the Neotropics. Several abundant and widely distributed Sigmodontinae rodents are the primary hosts of Orthohantavirus and, in combination with other factors, these rodents can shape hantavirus disease. Here, we assessed the influence of host diversity, climate, social vulnerability and land use change on the risk of hantavirus disease in Brazil over 24 years. Methods: Landscape variables (native forest, forestry, sugarcane, maize and pasture), climate (temperature and precipitation), and host biodiversity (derived through niche models) were used in spatiotemporal models, using the 5570 Brazilian municipalities as units of analysis. Results: Amounts of native forest and sugarcane, combined with temperature, were the most important factors influencing the increase of disease risk. Population at risk (rural workers) and rodent host diversity also had a positive effect on disease risk. Conclusions: Land use change—especially the conversion of native areas to sugarcane fields—can have a significant impact on hantavirus disease risk, likely by promoting the interaction between the people and the infected rodents. Our results demonstrate the importance of understanding the interactions between landscape change, rodent diversity, and hantavirus disease incidence, and suggest that land use policy should consider disease risk. Meanwhile, our risk map can be used to help allocate preventive measures to avoid disease.
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