Evidence map›Paper›PMID 39639303›Full record

ArticleInternational journal of health geographics2024

Spatial dynamics of Culex quinquefasciatus abundance: geostatistical insights from Harris County, Texas.

Morgan Jibowu, Melissa S Nolan, Ryan Ramphul, Heather T Essigmann, Abiodun O Oluyomi, Eric L Brown, Maximea Vigilant, Sarah M Gunter

Abstract read
In one paragraph

Article in International journal of health geographics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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

8 authors.

Morgan JibowuDepartment of Epidemiology, UTHealth School of Public Health, Houston, TX, USA.
Melissa S NolanDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Ryan RamphulDepartment of Epidemiology, UTHealth School of Public Health, Houston, TX, USA.
Heather T EssigmannDepartment of Epidemiology, UTHealth School of Public Health, Houston, TX, USA.
Abiodun O OluyomiSection of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA.
Eric L BrownDepartment of Epidemiology, UTHealth School of Public Health, Houston, TX, USA.
Maximea VigilantHarris County Public Health, Mosquito and Vector Control Division, Houston, TX, USA.
Sarah M GunterDivision of Tropical Medicine, Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA. sm22@bcm.edu.

Funding

Next generation mosquito control through technology-driven trap development and artificial intelligence guided detection of mosquito breeding habitatsR01AI165560 · NIAID · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI GUNTER, SARAH MURPHY, NOLAN, MELISSA SUZANNE · 2021 to 2025
$3.9M
National Institute of Allergy and Infectious Diseases R01AI165560NIAID NIH HHS R01 AI165560
6 · The paper itself

Abstract

Mosquito-borne diseases pose a significant public health threat, prompting the need to pinpoint high-risk areas for targeted interventions and environmental control measures. Culex quinquefasciatus is the primary vector for several mosquito-borne pathogens, including West Nile virus. Using spatial analysis and modeling techniques, we investigated the geospatial distribution of Culex quinquefasciatus abundance in the large metropolis of Harris County, Texas, from 2020 to 2022. Our geospatial analysis revealed clusters of high mosquito abundance, predominantly located in central Houston and the north-northwestern regions of Harris County, with lower mosquito abundance observed in the western and southeastern areas. We identified persistent high mosquito abundance in some of Houston's oldest neighborhoods, highlighting the importance of considering socioeconomic factors, the built environment, and historical urban development patterns in understanding vector ecology. Additionally, we observed a positive correlation between mosquito abundance and neighborhood-level socioeconomic status with the area deprivation index explaining between 22 and 38% of the variation in mosquito abundance (p-value < 0.001). This further underscores the influence of the built environment on vector populations. Our study emphasizes the utility of spatial analysis, including hotspot analysis and geostatistical interpolation, for understanding mosquito abundance patterns to guide resource allocation and surveillance efforts. Using geostatistical analysis, we discerned fine-scale geospatial patterns of Culex quinquefasciatus abundance in Harris County, Texas, to inform targeted interventions in vulnerable communities, ultimately reducing the risk of mosquito exposure and mosquito-borne disease transmission. By integrating spatial analysis with epidemiologic risk assessment, we can enhance public health preparedness and response efforts to prevent and control mosquito-borne disease.

Indexed as

CulexMosquito VectorsSpatial AnalysisAnimalsHumansPopulation DensityTexasWest Nile FeverBuilt environmentEnvironmental controlHoustonMosquito abundancePublic healthSpatial analysisTexas

Identifiers

PMID39639303
PMCPMC11619097

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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.