Evidence map›Paper›PMID 41399634›Full record

ArticleF1000Research2025

Determinants of urban mosquito population density and community responses: A cross-sectional study.

Rekha T, Jithin Surendran, Sreedevi Sr, Aishwariya Narasimhan, Nihal R Shankar, Arhan Vilas K, Gayana Shree A N, Hari Priya Muppala, Faiz Abdulaziz, Rohan Hs and 1 more

Abstract read
In one paragraph

Article in F1000Research, 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
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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

11 authors.

Rekha TDepartment of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.ORCID https://orcid.org/0000-0003-2278-1445
Jithin SurendranDepartment of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.ORCID https://orcid.org/0000-0002-6857-8234
Sreedevi SrDepartment of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.
Aishwariya NarasimhanDepartment of Community Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.ORCID https://orcid.org/0009-0004-3499-0409
Nihal R ShankarKasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.
Arhan Vilas KKasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.
Gayana Shree A NKasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.ORCID https://orcid.org/0009-0004-3778-7465
Hari Priya MuppalaKasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.
Faiz AbdulazizKasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.
Rohan HsKasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.
Ameya SinghKasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Vector-borne diseases transmitted by various arthropods account for approximately 17% of the global burden of infectious diseases. These arthropods, especially mosquitoes, are particularly rampant in Mangalore because of the humid coastal climate and scaling urbanization. Objectives: To identify key environmental and household determinants of mosquito presence in urban Mangalore, to assess household-level prevention practices, and to evaluate community perceptions and self-reported disease burden towards mosquito-borne diseases. Methods: The study involved households in selected wards of the urban field practice area of the Department of Community Medicine, a teaching and service field area under the Mangalore City Corporation, selected through convenience sampling. Data were collected using a semi-structured questionnaire covering sociodemographic details, mosquito proliferation, breeding determinants, behavioral measures, perception of mosquito control, and self-reported cases of mosquito-borne diseases. The data were analyzed using Jamovi version 2.6.26. Results: Among 95 respondents (70.5% female and 94.8% literate), 42.1% reported an increase in mosquito breeding sites over the past year, 69.4% recognized the rainy season as the peak period of mosquito activity. Water stagnation [74.7% (95% CI: 64.8-83.1)] and ongoing construction activity [32.4% (95% CI: 21.8-44.1)] emerged as significant environmental determinants of higher mosquito density which was not statistically significant. A large majority of households (91.6%) reported using chemical measures for mosquito prevention, while 92.6% of participants were aware of mosquito-borne diseases. Despite this, nearly one-third (29.4%) of respondents had experienced a mosquito-borne illness in the preceding year, with 71.4% dengue infection. The use of mosquito repellents was paradoxically associated with a higher prevalence of mosquito-borne diseases (OR = 3.7; 95% CI: 1.4-9.6; p = 0.024). Conclusion: Although awareness and preventive measure uptake were high, gaps remain in consistent environmental control and municipal interventions. Strengthening local authority action on water stagnation and construction-site management is essential for sustainable vector control.

Indexed as

CulicidaeMosquito VectorsUrban PopulationAdultAnimalsCross-Sectional StudiesFemaleHumansMaleMiddle AgedMosquito ControlPopulation DensitySurveys and QuestionnairesVector Borne DiseasesYoung AdultDengueEpidemiologic FactorsMalariaMosquito ControlVector Borne Diseases

Identifiers

PMID41399634
PMCPMC12701949

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.