Incorporating hydrology into climate suitability models changes projections of malaria transmission in Africa

M. W. Smith*, T. Willis, L. Alfieri, W. H.M. James, M. A. Trigg, D. Yamazaki, A. J. Hardy, B. Bisselink, A. De Roo, M. G. Macklin, C. J. Thomas

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (SciVal)
120 Downloads (Pure)


Continental-scale models of malaria climate suitability typically couple well-established temperature-response models with basic estimates of vector habitat availability using rainfall as a proxy. Here we show that across continental Africa, the estimated geographic range of climatic suitability for malaria transmission is more sensitive to the precipitation threshold than the thermal response curve applied. To address this problem we use downscaled daily climate predictions from seven GCMs to run a continental-scale hydrological model for a process-based representation of mosquito breeding habitat availability. A more complex pattern of malaria suitability emerges as water is routed through drainage networks and river corridors serve as year-round transmission foci. The estimated hydro-climatically suitable area for stable malaria transmission is smaller than previous models suggest and shows only a very small increase in state-of-the-art future climate scenarios. However, bigger geographical shifts are observed than with most rainfall threshold models and the pattern of that shift is very different when using a hydrological model to estimate surface water availability for vector breeding.

Original languageEnglish
Article number4353
Number of pages9
JournalNature Communications
Issue number1
Publication statusPublished - 28 Aug 2020


  • Africa/epidemiology
  • Animals
  • Anopheles/physiology
  • Climate Change
  • Ecology
  • Ecosystem
  • Geographic Mapping
  • Geography
  • Hydrology/methods
  • Malaria/epidemiology
  • Mosquito Vectors/physiology
  • Rivers
  • Seasons
  • Temperature


Dive into the research topics of 'Incorporating hydrology into climate suitability models changes projections of malaria transmission in Africa'. Together they form a unique fingerprint.

Cite this