Mosqlimate
Multi-disease tool to estimate change in disease transmission in response to climate and land use changes and identify circulating viruses during outbreaks, detecting signs of expansion of transmission areas and outbreaks linked to new arboviruses.
Our work in this project
Integration of climate data – Our team supports the development of the Mosqlimate platform by providing calibrated and verified climate forecasts that fit into the multi-disease predictive models.
Infectious disease models – We develop predictive models of climate-sensitive infectious diseases that feed into the model comparison framework of the Mosqlimate platform and API.
Why is this work relevant?
For 40 years, Brazil has witnessed the emergence of diseases transmitted by the mosquito Aedes aegypti: DENV-1 (1986), DENV-2 (1991), DENV-3 (2001), DENV-4 (2010), Chikungunya (2014), and Zika (2015), with severe human and economic costs. Viruses at risk of introduction are Nhong-nhong, Mayaro, and Oropouche. Misdiagnosis is common, and the emergence of new viruses can go largely unnoticed. New tools are needed to increase the precision of arbovirus surveillance and control in preparation for climate change.
In addition to the Mosqlimate multi-disease tool, the OviCounter tool will fill in the mosquito data gap by providing digital technology to improve the use of egg traps for mosquito surveillance ata large scale. As output, Mosqlimate will deliver measures of risk to integrate into the Brazilian early warning system “Infodengue” and its mature community of practice.