Abstract
This multidisciplinary project aims to better understand zoonotic infectious disease to improve health and well-being of animals and people in their environment, using a ‘one-health’ approach. Specifically, we model complex interactions of ecological, environmental and socio-economic drivers of malaria risk in the Amazon Rainforest. Using statistical and process-based mechanistic modelling, we will analyse multi-sourced datasets of human malaria cases, vector ecology, wildlife and domestic animal population ecology, land-use changes, climate change and socio-economic indicators in the Amazon over the last two decades to improve our understanding of how dynamic change will impact human and animal health in the Amazon region.
References
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