Projecting environmental suitable areas for malaria transmission in China under climate change scenarios.

Environ Res

Division of Epidemiology and Biostatistics, School of Public Health, University of Queensland, Brisbane 4006, Australia.

Published: April 2018

AI Article Synopsis

  • The study highlights the rising challenge of imported malaria cases in China and the need to understand their geographic distribution and environmental suitability in light of climate change.
  • The MaxEnt model was used to create maps showing areas suitable for malaria transmission and identified key risk factors like temperature and precipitation for P. vivax and P. falciparum.
  • Results indicate that environmental suitability areas for malaria are predicted to expand in various regions of China by the 2030s, 2050s, and 2080s, emphasizing the importance of targeted interventions for malaria control as climate conditions evolve.

Article Abstract

Introduction: The proportion of imported malaria cases in China has increased over recent years, and has presented challenges for the malaria elimination program in China. However, little is known about the geographic distribution and environmental suitability for malaria transmission under projected climate change scenarios.

Methods: Using the MaxEnt model based on malaria presence-only records, we produced environmental suitability maps and examined the relative contribution of topographic, demographic, and environmental risk factors for P. vivax and P. falciparum malaria in China.

Results: The MaxEnt model estimated that environmental suitability areas (ESAs) for malaria cover the central, south, southwest, east and northern regions, with a slightly wider range of ESAs extending to the northeast region for P. falciparum. There was spatial agreement between the location of imported cases and area environmentally suitable for malaria transmission. The ESAs of P. vivax and P. falciparum are projected to increase in some parts of southwest, south, central, north and northeast regions in the 2030s, 2050s, and 2080s, by a greater amount for P. falciparum under the RCP8.5 scenario. Temperature and NDVI values were the most influential in defining the ESAs for P. vivax, and temperature and precipitation the most influential for P. falciparum malaria.

Conclusion: This study estimated that the ESA for malaria transmission in China will increase with climate change and highlights the potential establishment of further local transmission. This model should be used to support malaria control by targeting areas where interventions on malaria transmission need to be enhanced.

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Source
http://dx.doi.org/10.1016/j.envres.2017.12.021DOI Listing

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