Evidence map›Paper›PMID 42038651›Full record

ReviewJournal of pest science2026

Mosquito-borne disease among individuals experiencing homelessness in the USA: a literature review.

André B B Wilke, Megan D Hill, Allisandra G Kummer, Chalmers Vasquez, John-Paul Mutebi, Xi Huo, Han Li, Jing Chen, Shigui Ruan, John C Beier and 3 more

Abstract readReview
In one paragraph

Review in Journal of pest science, 2026. 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

13 authors.

André B B WilkeDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN USA.
Megan D HillLaboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN USA.
Allisandra G KummerLaboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN USA.
Chalmers VasquezMiami-Dade County Mosquito Control Division, Miami, FL USA.
John-Paul MutebiMiami-Dade County Mosquito Control Division, Miami, FL USA.
Xi HuoDepartment of Mathematics, University of Miami, Coral Gables, FL USA.
Han LiDepartment of Geography and Sustainable Development, University of Miami, Coral Gables, FL USA.
Jing ChenDepartment of Mathematics, Nova Southeastern University, Fort Lauderdale, FL USA.
Shigui RuanDepartment of Mathematics, University of Miami, Coral Gables, FL USA.
John C BeierDepartment of Public Health Sciences, University of Miami School of Medicine, Miami, FL USA.
Maria LitvinovaDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN USA.
Thomas ByrneSchool of Social Work, Boston College, Boston, MA USA.
Marco AjelliLaboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN USA.

Funding

ACL HHS U01CK000662
6 · The paper itself

Abstract

Mosquito-borne diseases are a major public health issue. The USA has experienced mosquito-borne disease outbreaks, including West Nile virus, Zika, dengue, and malaria, highlighting widespread risk across the country. In the USA, exposure to mosquito vectors primarily occurs outdoors. Individuals experiencing unsheltered homelessness are particularly vulnerable to mosquito-borne diseases due to their increased exposure to mosquito vectors, limited access to healthcare, and high prevalence of underlying conditions. This review aims to examine the literature on mosquito-borne disease infections among individuals experiencing homelessness in the USA between 1999 and 2024. Our search strategy used Boolean methods on PubMed, Scopus, and Web of Science to select relevant publications. Two queries were used: the first query focused on individuals experiencing homelessness and mosquito-borne diseases, and the second one focused on epidemiological analyses of mosquito-borne disease outbreaks in the USA. Only studies reporting at least one infection among individuals experiencing homelessness were included. Our search resulted in the identification of 347 studies. After screening them, eight were ultimately included in this review. Half of the studies identified West Nile virus among individuals experiencing homelessness, and the other half reported cases of malaria. These studies show that individuals who spend more time outdoors, including individuals experiencing homelessness, may be at a greater risk of MBDs compared to the general population. However, the full extent of mosquito-borne disease exposure among individuals experiencing homelessness remains unclear. With climate change and globalization, there is a consensus in the literature showing an increasing risk of mosquito-borne disease transmission in the next decades, and we have already started to witness this increasing trend. Moreover, the USA is experiencing a steep increase in the overall nationwide homeless population. Therefore, we argue that developing policies aimed at providing homeless populations with housing during mosquito-borne disease outbreaks could be instrumental in protecting this segment of the population and promoting health equity. Supplementary Information: The online version contains supplementary material available at 10.1007/s10340-026-02042-0.

Indexed as

AedesAnophelesChikungunyaCulexDengueMalariaWest NileZika

Identifiers

PMID42038651
PMCPMC13102900

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.