Climate change and malaria: analysis of the SRES climate and socio-economic scenarios
The report investigates the potential impact of climate change on malaria transmission and populations at risk, using global models and IPCC scenarios.
(Generated with the help of GPT-4)
Methods
The study used the MIASMA v.2.2 global model to simulate malaria transmission under various IPCC SRES climate and socio-economic scenarios. It defined “population at risk” as those living in areas with suitable climate conditions for malaria transmission and projected changes in these populations by downscaling national estimates to a 0.5° grid and re-aggregating by region.
(Generated with the help of GPT-4)
Key Insights
The research analyzes how climate change may affect malaria distribution and risk, employing the MIASMA v.2.2 model and IPCC's SRES climate and socio-economic scenarios. It projects additional populations at risk, particularly in East Africa, central Asia, China, and South America, while indicating potential decreases in transmission seasons in areas like the Amazon and Central America due to reduced precipitation.
(Generated with the help of GPT-4)
Additional Viewpoints
Categories: English publication language | Global geographic scope | adaptive capacity | climate change | environment | malaria | malaria transmission | population risk | precipitation | public health | socio-economic scenarios | temperature | vector distribution | vulnerability