World Health Organisation. World Malaria Report 2018 (World Health Organization, Geneva, 2018).
Caminade, C. et al. Impact of climate change on global malaria distribution. Proc. Natl Acad. Sci. 111, 3286–3291 (2014).
Shapiro, L. L., Whitehead, S. A. & Thomas, M. B. Quantifying the effects of temperature on mosquito and parasite traits that determine the transmission potential of human malaria. PLoS Biol. 15, 2003489 (2017).
Jepson, W. F., Moutia, A. & Courtois, C. The malaria problem in Mauritius: the binomics of Mauritian anophelines. Bull. Entomol. Res. 38, 177–208 (1947).
Waite, J. L., Suh, E., Lynch, P. A. & Thomas, M. B. Exploring the lower thermal limits for development of the human malaria parasite, Plasmodium falciparum. Biol. Lett. 15, 20190275 (2019).
Bayoh, M. N. & Lindsay, S. W. Effect of temperature on the development of the aquatic stages of Anopheles gambiae sensu stricto (Diptera: Culicidae). Bull. Entomol. Res. 93, 375–381 (2003).
Depinay, J. M. et al. A simulation model of African Anopheles ecology and population dynamics for the analysis of malaria transmission. Malar. J. 3, 29 (2004).
Mordecai, E. A. et al. Optimal temperature for malaria transmission is dramatically lower than previously predicted. Ecol. Lett. 16, 22–30 (2012).
Craig, M. H., Snow, R. W. & Le Sueur, D. Climate-based distribution model of malaria transmission in sub-Saharan Africa. Parasitol. Today 15, 105–111 (1999).
Parham, P. E. & Michael, E. Modeling the effects of weather and climate change on malaria transmission. Environ. Health Perspect. 118, 620–626 (2010).
Ryan, S. J. et al. Mapping physiological suitability limits for malaria in Africa under climate change. Vector-Borne Zoonotic Dis. 15, 718–725 (2015).
Smith, M. W., Macklin, M. G. & Thomas, C. J. Hydrological and geomorphological controls of malaria transmission. Earth Sci. Rev. 116, 109–127 (2013).
Bomblies, A., Duchemin, J. B. & Eltahir, E. A. Hydrology of malaria: model development and application to a Sahelian village. Water Resour. Res. 44, W12445 (2008).
Yamana, T. K., Bomblies, A. & Eltahir, E. A. Climate change unlikely to increase malaria burden in West Africa. Nat. Clim. Change 6, 1009–1013 (2016).
Small, J., Goetz, S. J. & Hay, S. I. Climatic suitability for malaria transmission in Africa, 1911–1995. Proc. Natl Acad. Sci. USA 100, 15341–15345 (2003).
Thomas, C. J., Davies, G. & Dunn, C. E. Mixed picture for changes in stable malaria distribution with future climate in Africa. Trends Parasitol. 20, 216–220 (2004).
Ebi, K. L. et al. Climate suitability for stable malaria transmission in Zimbabwe under different climate change scenarios. Clim. Change 73, 375–393 (2005).
Van Lieshout, M., Kovats, R. S., Livermore, M. T. J. & Martens, P. Climate change and malaria: analysis of the SRES climate and socio-economic scenarios. Glob. Environ. Change 14, 87–99 (2004).
Kiszewski, A. et al. A global index representing the stability of malaria transmission. Am. J. Trop. Med. Hyg. 70, 486–498 (2004).
Ermert, V., Fink, A. H., Jones, A. E. & Morse, A. P. Development of a new version of the Liverpool Malaria Model. II. Calibration and validation for West Africa. Malar. J. 10, 62 (2011).
Martens, W. J. M., Niessen, L. W., Rotmans, J. & McMichael, A. J. Potential impacts of global climate change on malaria risk. Environ. Health Perspect. 103, 458–464 (1995).
Tanser, F., Sharp, B. L. & Le Sueur, D. Potential effect of climate change on malaria transmission in Africa. Lancet 362, 1792–9178 (2003).
Garnham, P. C. C. The incidence of malaria at high altitudes. J. Malar. Soc. 7, 275–284 (1948).
Lindsay, S. W., Parson, L. & Thomas, C. J. Mapping the ranges and relative abundance of the two principal African malaria vectors, Anopheles gambiae sensu stricto and An. arabiensis, using climate data. Proc. R. Soc. B Biol. Sci. 265, 847–854 (1998).
Mabaso, M. L., Craig, M., Ross, A. & Smith, T. Environmental predictors of the seasonality of malaria transmission in Africa: the challenge. Am. J. Trop. Med. Hyg. 76, 33–38 (2007).
Kibret, S. et al. Malaria impact of large dams in sub-Saharan Africa: maps, estimates and predictions. Malar. J. 14, 339 (2015).
Lysenko, A. J. & Semashko, I. N. in Itogi Nauki: Medicinskaja Geografija (ed. Lebedew, A. W.) 25–146 (Academy of Sciences, Moscow, 1968) (in Russian).
Ageep, T. B. et al. Spatial and temporal distribution of the malaria mosquito Anopheles arabiensis in northern Sudan: influence of environmental factors and implications for vector control. Malar. J. 8, 123 (2009).
Fuller, D. O., Parenti, M. S., Hassan, A. N. & Beier, J. C. Linking land cover and species distribution models to project potential ranges of malaria vectors: an example using Anopheles arabiensis in Sudan and Upper Egypt. Malar. J. 11, 264 (2012).
Gemperli, A., Vounatsou, P., Sogoba, N. & Smith, T. Malaria mapping using transmission models: application to survey data from Mali. Am. J. Epidemiol. 163, 289–297 (2005).
Snow, R. W., Noor, A. M. & Hay, S. I. Malaria in Somalia: Assembling the Evidence and Modeling Risks (University of Oxford, UK, 2006).
Hulme, M., Doherty, R., Ngara, T., New, M. & Lister, D. African climate change: 1900–2100. Clim. Res. 17, 145–168 (2001).
Tierney, J. E., Ummenhofer, C. C. & de Menocal, P. B. Past and future rainfall in the Horn of Africa. Sci. Adv. 1, e1500682 (2015).
Reiter, P. Global warming and malaria: knowing the horse before hitching the cart. Malar. J. 7, S3 (2008).
Gething, P. et al. Climate change and the global malaria recession. Nature 465, 342–345 (2010).
Yamazaki, D., Kanae, S., Kim, H. & Oki, T. A physically based description of floodplain inundation dynamics in a global river routing model. Water Resour. Res. 47, W04501 (2011).
Hazeleger, W. et al. EC-Earth V2.2: description and validation of a new seamless earth system prediction model. Clim. Dyn. 39, 2611–2629 (2012).
Alfieri, L. et al. Global projections of river flood risk in a warmer world. Earth’s Future 5, 171–182 (2017).
Muerth, M. J. et al. On the need for bias correction in regional climate scenarios to assess climate change impacts on river runoff. Hydrol. Earth Syst. Sci. 17, 1189–1204 (2013).
Hirpa, F. A. et al. Streamflow response to climate change in the Greater Horn of Africa. Clim. Change 156, 341–363 (2019).
van der Knijff, J. M., Younis, J. & de Roo, A. P. J. LISFLOOD: a GIS-based distributed model for river basin scale water balance and flood simulation. Int. J. Geograph. Inf. Sci. 24, 189–212 (2010).
Burek, P., van der Knijff, J. & de Roo, A. P. J. LISFLOOD, Distributed Water Balance and Flood Simulation Model Revised User Manual (Publ. Off., Luxembourg, 2013).
Lehner, B., Verdin, K. & Jarvis, A. New global hydrography derived from spaceborne elevation data. Eos, Trans. Am. Geophys. Union 89, 93–94 (2008).
Wu, H. et al. A new global river network database for macroscale hydrologic modeling. Water Resour. Res. 48, W09701 (2012).
Hengl, T. et al. SoilGrids1km—global soil information based on automated mapping. PLoS ONE 9, e105992 (2014).
Paaijmans, K. P., Takken, W., Githeko, A. K. & Jacobs, A. F. G. The effect of water turbidity on the near-surface water temperature of larval habitats of the malaria mosquito Anopheles gambiae. Int. J. Biometeorol. 52, 747–753 (2008).
Thomas, C. J., Cross, D. E. & Bøgh, C. Landscape movements of Anopheles gambiae malaria vector mosquitoes in rural Gambia. PLoS ONE 8, e68679 (2013).
Worldpop. Africa Continental Population Datasets (2000–2020) v2.0. https://doi.org/10.5258/SOTON/WP00004 (2016).
Worldpop. Africa Continental age/sex structure Population Datasets 2000/05/10/15/20 V5.0. https://www.worldpop.org/geodata/summary?id=1276 (2016).
James, W. H. et al. Gridded birth and pregnancy datasets for Africa, Latin America and the Caribbean. Sci. Data 5, 180090 (2018).
United Nations, Department of Economic and Social Affairs, Population Division. World Population Prospects 2019 Online ed (United Nations, 2019).
Smith, M. W. et al. LIS-MAL Estimates of Hydro-Climatic Suitability for Malaria Transmission in Africa (1971–2100). [Dataset]. https://doi.org/10.5518/786 (University of Leeds, 2020).
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