Possible potential spread of Anopheles stephensi, the Asian malaria vector

BMC Infectious Diseases

Table 1 Environmental variables

Variable	Description	Units
Bio1	Annual Mean Temperature	℃
Bio2	Mean Diurnal Range (Mean of monthly (max temp-min temp))	℃
Bio3	Isothermality (Bio2/Bio7) (× 100)	-
Bio4	Temperature Seasonality (standard deviation × 100)	-
Bio5	Max Temperature of Warmest Month	℃
Bio6	Min Temperature of Coldest Month	℃
Bio7	Temperature Annual Range (Bio5-Bio6)	-
Bio8	Mean Temperature of Wettest Quarter	℃
Bio9	Mean Temperature of Driest Quarter	℃
Bio10	Mean Temperature of Warmest Quarter	℃
Bio11	Mean Temperature of Coldest Quarter	℃
Bio12	Annual Precipitation	mm
Bio13	Precipitation of Wettest Month	mm
Bio14	Precipitation of Driest Month	mm
Bio15	Precipitation Seasonality (Coefficient of Variation)	-
Bio16	Precipitation of Wettest Quarter	mm
Bio17	Precipitation of Driest Quarter	mm
Bio18	Precipitation of Warmest Quarter	mm
Bio19	Precipitation of Coldest Quarter	mm
elev	Elevation	-

To reduce autocorrelation between variable data and avoid overfitting of model predictions, we conducted correlation analyses of environmental factors using maxent.jar software and SPSS 20.0 to calculate Pearson correlation coefficients of the environmental factors before making predictions. Among the two environmental factors with correlation coefficients of | r |> 0.9, we chose the one that was more biologically significant. Finally, we selected Bio1, Bio2, Bio3, Bio6, Bio7, Bio8, Bio9, Bio10, Bio12, Bio13, Bio14, Bio15, Bio18, Bio19, and elevation as the environmental factors for modeling

ISSN: 1471-2334