Potential distribution of malaria vectors in Central Vietnam: A MaxEnt modeling approach.

BACKGROUND AND AIM

In Central Vietnam, and are the primary malaria vector species. These spp.' distribution and prevalence are determined by environmental, climatic, and socioeconomic conditions. This study aimed to predict the potential distribution of these two spp. in this region.

MATERIALS AND METHODS

This study was conducted in 15 Central Vietnamese provinces. From 2014 to 2018, we utilized s and s presence records. Proxy data from the Google Earth Engine platform for the study area, encompassing environmental, climatic, and socioeconomic factors. MaxEnt software predicted the potential environmental, climatic, and socioeconomic suitability of these two spp. in Central Vietnam.

RESULTS

The test area under the curve values for and MaxEnt models averaged 0.801 and 0.806, respectively, showing excellent performance. Minimum air temperature had the greatest impact on the distribution of both species. A negative correlation between precipitation and normalized difference water index influences the occurrence of . In the temperature range of 13-19.5°C, is most likely to be present, with nighttime light detrimentally influencing its distribution. The Central Highlands region is inhabited by both species, with some presence in North-Central and South-Central Coastal areas.

CONCLUSION

The importance of temperature in determining the presence of both species is emphasized by our findings, with subtle differences in the temperature-related factors shaping their distributions. The results highlight the need for focused malaria vector control and surveillance initiatives in the study area.