Malaria and large dams in sub-Saharan Africa: future impacts in a changing climate.
Sub-Saharan Africa (SSA) has embarked on a new era of dam building to improve food security and promote economic development. Nonetheless, the future impacts of dams on malaria transmission are poorly understood and seldom investigated in the context of climate and demographic change.



The distribution of malaria in the vicinity of 1268 existing dams in SSA was mapped under the Intergovernmental Panel on Climate Change (IPCC) representative concentration pathways (RCP) 2.6 and 8.5. Population projections and malaria incidence estimates were used to compute population at risk of malaria in both RCPs. Assuming no change in socio-economic interventions that may mitigate impacts, the change in malaria stability and malaria burden in the vicinity of the dams was calculated for the two RCPs through to the 2080s. Results were compared against the 2010 baseline. The annual number of malaria cases associated with dams and climate change was determined for each of the RCPs.



The number of dams located in malarious areas is projected to increase in both RCPs. Population growth will add to the risk of transmission. The population at risk of malaria around existing dams and associated reservoirs, is estimated to increase from 15 million in 2010 to 21-23 million in the 2020s, 25-26 million in the 2050s and 28-29 million in the 2080s, depending on RCP. The number of malaria cases associated with dams in malarious areas is expected to increase from 1.1 million in 2010 to 1.2-1.6 million in the 2020s, 2.1-3.0 million in the 2050s and 2.4-3.0 million in the 2080s depending on RCP. The number of cases will always be higher in RCP 8.5 than RCP 2.6.



In the absence of changes in other factors that affect transmission (e.g., socio-economic), the impact of dams on malaria in SSA will be significantly exacerbated by climate change and increases in population. Areas without malaria transmission at present, which will transition to regions of unstable transmission, may be worst affected. Modifying conventional water management frameworks to improve malaria control, holds the potential to mitigate some of this increase and should be more actively implemented.
Program in Public Health, University of California Irvine, Irvine, CA, 92697, USA. s.kibret@gmail.com.
Solomon
0000-0003-1793-6908
S
Kibret
International Water Management Institute, Pretoria, South Africa.
Jonathan
J
Lautze
International Water Management Institute, Vientiane, Lao People's Democratic Republic.
Matthew
M
McCartney
International Water Management Institute, Pretoria, South Africa.
Luxon
L
Nhamo
Ecosystem Management, School of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia.
G Glenn
GG
Wilson
D017954:Africa South of the Sahara / Q000453:epidemiology; D057231:Climate Change; D003198:Computer Simulation; D005160:Facility Design and Construction; D006801:Humans; D015994:Incidence; D008288:Malaria / Q000453:epidemiology* / Q000635:transmission*; D018570:Risk Assessment; D014867:Water / Q000469:parasitology*
D014867:Water
Climate scenario; Dam; Malaria; Reservoir; Sub-Saharan Africa