Malaria is a mosquito borne infectious disease caused by parasites that are transmitted to people through the bites of infected female mosquitoes. Cerebral malaria, caused by the parasite Plasmodium falciparum transmitted by the Anopheles gambiae mosquito, is the most deadly form of the disease, killing around 584,000 people each year. Malaria can cause organ failure, unconsciousness, and coma, if left untreated, and is a major cause of decreased economic productivity in affected regions.
A larger portion of Africa is currently at high risk for malaria transmission than previously predicted, revealed a new University of Florida mapping study.
‘Due to climate changes, the area where malaria can be transmitted most easily will shrink, but the total transmission zone in Africa will expand and move into new territory.’
AdvertisementUnder future climate regimes, the area where the disease can be transmitted most easily will shrink, but the total transmission zone will expand and move into new territory, suggested the study, which appears in Vector-Borne and Zoonotic Diseases.
The study suggested that by 2080, the year-round, highest-risk transmission zone will move from coastal West Africa, east to the Albertine Rift, between the Democratic Republic of Congo and Uganda. The area suitable for seasonal, lower-risk transmission will shift north into coastal sub-Saharan Africa.
Most striking, some parts of Africa will become too hot for malaria.
Lead author Sadie Ryan, an assistant professor of geography at the University of Florida who also is affiliated with UF's Emerging Pathogens Institute, said, "The overall expansion of malaria-vulnerable areas will challenge management of the deadly disease. Malaria will arrive in new areas, posing a risk to new populations and the shift of endemic and epidemic areas will require public health management changes. Mapping a mathematical predictive model of a climate-driven infectious disease like malaria allows us to develop tools to understand both spatial and seasonal dynamics, and to anticipate the future changes to those dynamics."
For the study, researchers used a model that takes into account the real, curved, physiological responses of both mosquitoes and the malaria parasite to temperature. This model shows an optimal transmission temperature for malaria that, at 25 degrees Celsius, is 6 degrees Celsius lower than previous predictive models.
Ryan said, "This work will play an important role in helping public health officials and NGOs plan for the efficient deployment of resources and interventions to control future outbreaks of malaria and their associated societal costs."
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