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 discussed 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 & Time: Monday 2^nd October 2023 (12.00 PM – Singapore Time) | 

Opening remarks - 

• Prof Xiao-Nong Zhou, Chair of the APMEN Surveillance and Response Working Group, and Director of the National Institute for Parasitic Diseases, China CDC | 

Facilitator - 

• Prof Richard J Maude, Co-Chair of the APMEN Surveillance and Response Working Group, and Head of Epidemiology Department, Mahidol Oxford Tropical Medicine Research Unit | 

Speakers/Panellists - 

• Dr Shreejana Bhattarai, Independent Researcher, Nepal;
• Prof Michael Wimberly, Professor, Department of Geography and Environmental Sustainability, University of Oklahoma, USA;
• Dr Kaushik Sarkar, Inaugural Director, Institute for Health Modeling and Climate Solutions, Malaria No More, India;
• Prof Jiming Liu, Dean of Science and Chair Professor, Department of Computer Science, Hong Kong Baptist University.