A larger portion of Africa is currently at high risk for malaria transmission than previously predicted, according to a new University of Florida mapping study.
Under 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, according to the study, which appears in the current issue of the journal Vector-Borne and Zoonotic Diseases.
By 2080, the study shows, 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.
The overall expansion of malaria-vulnerable areas will challenge management of the deadly disease, said lead author Sadie Ryan, an assistant professor of geography at the University of Florida who also is affiliated with UF’s Emerging Pathogens Institute.
Malaria will arrive in new areas, posing a risk to new populations, she said, 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,” Ryan said.
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.
The study uses 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.
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, Ryan said.
The collaborative research team includes experts in epidemiology, public health, ecology, entomology, mathematical modeling and geography. In addition to Ryan, other team members are Amy McNally (NASA), Leah Johnson (University of South Florida), Erin A. Mordecai (Stanford University), Tal Ben-Horin (Rutgers), Krijn Paaijmans (Universitat de Barcelona) and Kevin D. Lafferty (U.S. Geological Survey).
The work expands upon the team’s prior work at the National Center for Ecological Analysis and Synthesis at the University of California, Santa Barbara.