Projecting potential spatial and temporal changes in the distribution of and malaria in China with climate change.

BACKGROUND

Global climate change is likely to increase the geographic range and seasonality of malaria transmission. Areas suitable for distribution of malaria vectors are predicted to increase with climate change but evidence is limited on future distribution of malaria with climate in China.

OBJECTIVE

Our aim was to assess a potential effect of climate change on (. ) and (. ) malaria under climate change scenarios.

METHODS

National malaria surveillance data during 2005-2014 were integrated with corresponding climate data to model current weather-malaria relationship. We used the Generalized Additive Model (GAM) with a spatial component, assuming a quasi-Poisson distribution and including an offset for the population while accounting for potential non-linearity and long-term trend. The association was applied to future climate to project county-level malaria distribution using ensembles of Global Climate Models under two climate scenarios - Representative Concentration Pathways (RCP4.5 and RCP8.5).

RESULTS

Climate change could substantially increase . . malaria, under both climate scenarios, but by larger amount under RCP8.5, compared to the baseline. . is projected to increase more than . The distributions of . and . malaria are expected to increase in most regions regardless of the climate scenarios. A high percentage (>50%) increases are projected in some counties of the northwest, north, northeast, including northern tip of the northeast China, with a clearer spatial change for . than . under both scenarios, highlighting potential changes in the latitudinal extent of the malaria.

CONCLUSION

Our findings suggest that spatial and temporal distribution of . and . malaria in China will change due to future climate change, if there is no policy to mitigate it. These findings are important to guide the malaria elimination goal for China.