Spatial Analysis and Habitat Suitability Modeling of Culex quinquefasciatus in Tarrant County, Texas (2020–2022)
Presentation Time: Mon, 05/04/2026 - 09:00
Keywords: Mosquito Abundance, Spatial Analysis, Habitat Suitability, Public Health, Tarrant County
Mosquito-borne diseases pose a significant public health threat, requiring local agencies to implement control strategies using an Integrated Mosquito Management approach. Because resources are limited, identifying high-risk areas is essential for effective environmental control measures targeting West Nile Virus (WNV) in Tarrant County, Texas. This study aims to identify spatial patterns and evaluate environmental predictors of Culex quinquefasciatus abundance, the primary WNV vector in the region, from 2020 to 2022. We conducted spatial analyses to examine mosquito distribution and identify clusters of abundance across the county. An abundance surface was generated using Empirical Bayesian Kriging based on trap-derived mosquito abundance data. We then applied a geographically weighted regression (GWR) model using seven explanatory variables to assess spatially varying relationships influencing mosquito abundance. Although no combination of variables produced a strong predictive model, results suggest that abundance is driven by complex, non-linear interactions among environmental, biological, and socioeconomic factors. Key variables included the Area Deprivation Index (ADI), proximity to wetlands, and the Normalized Difference Vegetation Index (NDVI). We also developed a habitat suitability map using a weighted overlay approach to identify potential breeding areas. These analyses improve understanding of mosquito distribution and can help guide targeted control efforts, prioritize resource allocation, and support outreach in vulnerable communities to reduce WNV risk.
