3 papers
Spatial Confounding: A review of concepts, challenges, and current approaches
Isaque Vieira Machado Pim, Luiz Max Fagundes de Carvalho, Marcos Oliveira Prates
Spatial confounding is a persistent challenge in spatial statistics, influencing the validity of statistical inference in models that analyze spatially-structured data. The concept…
Long-term predictive models for mosquito borne diseases: a narrative review
Marcio Maciel Bastos, Luiz Max Carvalho, Eduardo Correa Araujo +1
In face of climate change and increasing urbanization, the predictive mosquito-borne diseases (MBD) transmission models require constant updates. Thus, is urgent to comprehend the…
Mosqlimate: a platform to providing automatable access to data and forecasting models for arbovirus disease
Fabiana Ganem, Luã Bida Vacaro, Eduardo Correa Araujo +6
Dengue is a climate-sensitive mosquito-borne disease with a complex transmission dynamic. Data related to climate, environmental and sociodemographic characteristics of the target…