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

Autor: Padilla-Pozo Á; Department of Sociology, Cornell University, Uris Hall, 109 Tower Rd, Ithaca, 14853, New York, United States of America. ap963@cornell.edu.; Cornell Population Center, Cornell University, Martha Van Rensselaer Hall, Ithaca, 14850, New York, United States of America. ap963@cornell.edu.; Centre d'Estudis Avançats de Blanes (CEAB-CSIC), Spanish National Research Council, Carrer Accés Cala Sant Francesc, 14, Blanes, 17300, Girona, Spain. ap963@cornell.edu.; Department of Political and Social Sciences, Universitat Pompeu Fabra, Ramon Trias Fargas, 25-27, Barcelona, 08005, Barcelona, Spain. ap963@cornell.edu., Bartumeus F; Centre d'Estudis Avançats de Blanes (CEAB-CSIC), Spanish National Research Council, Carrer Accés Cala Sant Francesc, 14, Blanes, 17300, Girona, Spain.; Institució Catalana de Recerca i Estudis Avançats (ICREA), Passeig de Lluís Companys, 23, Barcelona, 08010, Barcelona, Spain.; Centre de Recerca Ecològica i Aplicacions Forestals (CREAF), Edifici C Facultad de ciencias y biociencias, Bellaterra, 08193, Barcelona, Spain., Montalvo T; Agència de Salut Pública de Barcelona, Pl. de Lesseps, 1, Barcelona, 08023, Barcelona, Spain.; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C/ Monforte de Lemos 3-5, Pabellón 11, Planta 0, Madrid, 28029, Madrid, Spain.; Institut d'Investigació Biomédica Sant Pau, IIB St. Pau, Sant Quintí, 77-79, Barcelona, 08041, Barcelona, Spain., Sanpera-Calbet I; Department of Political and Social Sciences, Universitat Pompeu Fabra, Ramon Trias Fargas, 25-27, Barcelona, 08005, Barcelona, Spain., Valsecchi A; Agència de Salut Pública de Barcelona, Pl. de Lesseps, 1, Barcelona, 08023, Barcelona, Spain., Palmer JRB; Department of Political and Social Sciences, Universitat Pompeu Fabra, Ramon Trias Fargas, 25-27, Barcelona, 08005, Barcelona, Spain. john.palmer@upf.edu.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2024 Sep 28; Vol. 14 (1), pp. 22462. Date of Electronic Publication: 2024 Sep 28.
DOI: 10.1038/s41598-024-73416-6
Abstrakt: 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, an invasive vector species of concern worldwide. Our results suggest citizen scientists' sampling effort is focused more in Barcelona's lower and middle income census tracts than in its higher income ones, whereas Ae. albopictus populations are concentrated in the city's upper-middle income tracts. High resolution estimates of the spatial distribution of Ae. albopictus risk can be improved by controlling for citizen scientists' sampling effort, making it possible to provide better insights for efficiently targeting control efforts. Our methodology can be replicated in other cities faced with vector mosquitoes to improve public health responses to mosquito-borne diseases, which impose massive burdens on communities worldwide.
(© 2024. The Author(s).)
Databáze: MEDLINE
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