Evidence map›Paper›PMID 40788960›Full record

ArticlePloS one2025

Gentrification influences mosquito community composition at neighborhood and county levels in Miami-Dade County, Florida.

Nicole A Scavo, Chalmers Vasquez, Laura C Multini, John-Paul Mutebi, André B B Wilke

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nicole A ScavoDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, Indiana, United States of America.
Chalmers VasquezMiami-Dade County Mosquito Control Division, Miami, Florida, United States of America.
Laura C MultiniDepartment of Entomology, Cornell University, Ithaca, New York, United States of America.
John-Paul MutebiMiami-Dade County Mosquito Control Division, Miami, Florida, United States of America.
André B B WilkeDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, Indiana, United States of America.ORCID https://orcid.org/0000-0002-6629-7666

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gentrification is occurring across urban areas in the United States and poses threats to marginalized and vulnerable communities through displacement, disruption of social networks, and worsening health outcomes. Gentrification is both a social and environmental process, affecting socioecological factors responsible for driving mosquito abundance and community composition. Our study aims to investigate how gentrification in Miami-Dade County, Florida, affects the alpha and beta diversity of mosquito communities. We relied on data from the Miami-Dade County Mosquito Control Division from 2020 to 2024, paired with data from the American Community Survey, to analyze changes in mosquito community composition based on gentrification status. Our results show that gentrification, measured by changes in home value, age, race, and education, significantly affected mosquito richness and community composition at county and neighborhood levels. Culex quinquefasciatus and Aedes aegypti, primary arbovirus vector species, were more abundant in gentrifying areas, representing 31% of community composition variation compared to non-gentrifying areas. These findings have important implications for improving mosquito-borne disease preparedness and response in urban settings.

Indexed as

CulicidaeMosquito VectorsAedesAnimalsCulexFloridaHumansMosquito ControlNeighborhood CharacteristicsResidential Segregation

Identifiers

PMID40788960
PMCPMC12338825

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.