Résumé
The recent expansion of the invasive Aedes mosquitoes give rise to serious concerns about the risk of the emergence of arboviruses in new territories (eg. dengue, Zika and chikungunya). Although strongly affected by unpredictable random effects, the emergence and spread of vector-borne viruses depend on vector and host abundances and movements, as well as the introduction scenario and vector control implementation. Modeling offers powerful tools to understand the underlying mechanisms of emergence and explore epidemiological scenarios. arbocartoR is a modeling tool developed at CIRAD as part of the H2020 MOOD project. The underlying model is a compartmental model built on a mechanistic approach based on observation and description of biological and behavioral processes. It integrates both deterministic and stochastic algorithms. arbocartoR can be used to spatially simulate and explore (i) the population dynamics of two Aedes species: albopictus & aegypti, considering local conditions (precipitation, temperature, breeding sites), and (ii) the transmission dynamics of Aedes-borne viruses following introduction events and taking into account the responsiveness and effectiveness of control strategies. It provides key figures to guide vector control and surveillance in order to better understand, anticipate, and prepare for the risk of mosquito-borne disease emergence and spread.