Climate change may present a significant threat to malaria elimination. Climate factors such as temperature, precipitation, and extreme weather events can directly impact malaria transmission, and indirectly through various pathways, including human behaviour and socioeconomic factors. While predicting malaria outcomes is challenging due to climate variability, case examples show how predictive models can be used to detect outbreaks and design control and elimination strategies. This SRWG TechTalk will discuss climate factors in malaria prediction models and present case examples on how future climate projections can help map changes in malaria transmission suitability in Nepal, and about the development and use of malaria outbreak early warning systems in India and Ethiopia.

Date:     2 October 2023, Monday
Time:    12:00 PM Singapore time
Register here: https://aplma-org.zoom.us/webinar/register/WN_54E2K_9ERTanbskSIC657Q