Researchers develop high-resolution forecast model for the spread of malaria

Researchers develop high-resolution forecast model for the spread of malaria

Climate change aggravates global health problems, above all for people in Africa. The group "Climate change and Health in Sub-Saharan Africa" funded by the German Research Foundation (DFG) studies climate-induced damage to health in Burkina Faso and Kenya. Within this project, a team of Karlsruhe Institute of Technology (KIT) develops a high-resolution forecast model for the spread of malaria. It strongly depends on temperature, precipitation volume, and humidity in the respective region. "Malaria still is one of the most dangerous diseases in particular in tropical countries," says Professor Harald Kunstmann, expert for regional climate and hydrology at the Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU) at KIT's Campus Alpine. According to the World Health Organization, 216 million cases of malaria and 445,000 malaria deaths were recorded in 2016 alone. In the respective regions, spreading of the disease via the anopheles mosquito strongly depends on temperature, precipitation volume, and humidity. The threshold values of these parameters play an important role for the spreading of the mosquito and the plasmodium pathogen. "Considering the increasing variations of temperature, precipitation, and humidity due to climate change, precise knowledge of the changes in these variables indicating the malaria risk is more important than ever," Kunstmann emphasizes. Research of the KIT team focuses on the regions of Kisumu in Kenya and Nouna in Burkina Faso, in which detailed health and malaria data exist. Moreover, the meteorological measurement network is planned to be extended by another five weather stations. Based on the high-resolution climate data and the already existing health data, the scientists will develop a new computer system to model in very high detail the hydro-meteorological variables determining the spreading of malaria. In addition, the system will model the temporal and spatial propagation of the parasite. The simulation will also take into account findings on how changing of land use influences the spreading of malaria. Within the next three years, the experts will develop and validate their computer model system chain on a small regional scale and quantify its uncertainties. This work may give rise to an instrument to forecast the spread of malaria as a function of the local climate conditions in larger regions or even on a nation-wide scale." Harald Kunstmann, climate researcher and hydrologist Climate change and health in sub-Saharan Africa Related Stories



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