Assessing and correcting neighborhood socioeconomic spatial sampling biases in citizen science mosquito data collection.

ABSTRACT: Climatic, ecological, and socioeconomic factors are facilitating the spread of mosquito-borne diseases, heightening the importance of vector surveillance and control. Citizen science is proving to be an effective tool to track mosquito populations, but methods are needed to detect and account for small scale sampling biases in citizen science surveillance. In this article we combine two types of traditional mosquito surveillance records with data from the Mosquito Alert citizen science system to explore the ways in which the socioeconomic characteristics of urban neighborhoods result in sampling biases in citizen scientists' mosquito reports, while also shaping the spatial distribution of mosquito populations themselves. We use Barcelona, Spain, as an example, and focus on Aedes albopictus

SUBMITTER: Padilla-Pozo A 

PROVIDER: S-EPMC11439082 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature