Negative binomial regression analysis of factors influencing the number of distinct mosquito species in Zhejiang Province, China, 2023

Mosquito species have different breeding environment requirements, understanding how environmental factors affect mosquito populations can help characterize mosquito vector ecology and facilitate control strategies. This study investigated the number of different mosquito species captured by mosquito trapping lights in relation to landscape, habitat, month, and the number of trapping lights. Field mosquitoes were collected using mosquito trapping lights at five different habitat locations in each monitoring site in Zhejiang Province, China from April to November 2023. The monitoring data were summarized using Excel 2016. Single-factor analysis was conducted using the chi-square (χ²) test with SPSS 15.0 software, and multiple-factor analysis was performed using the negative binomial regression (NBR) model with Stata 16.0 software. The results indicated that landscape, habitat, and month all significantly impact the number of mosquitoes captured by mosquito trapping lights (P < 0.001). All regions in Zhejiang Province should develop targeted mosquito vector prevention and control strategies, taking into account local ecological conditions.