Brazil presents a distinctive convergence of continental-scale climatic diversity, extensive urbanization, large-scale biomass burning, rapid land-use change, persistent air-quality monitoring gaps, and deep social inequalities, producing highly heterogeneous and compound environmental health risks. In this context, tr...
R. Tavella, F. R. de Moura, A. da Silva Bonifácio et al.· Atmosphere· 0 citations
The findings demonstrate the value of machine learning approaches for modeling complex climate-health relationships and provide a transferable framework for climate-informed respiratory risk assessment and early warning systems in tropical coastal environments.
Marcos Paulo Santos Pereira, R. L. Costa, Fabrício Daniel dos Santos Silva et al.· International journal of bio...· 0 citations
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