Evidence map›Paper›PMID 41982801›Full record

ArticleGeoHealth2026

West Nile Virus Transmission Suitability Modeling for

H M Jones, D M Brett-Major, J R Fauver, Y Gwon, J E Bell

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in GeoHealth, 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

5 authors.

H M JonesMedical Sciences Interdepartmental Area University of Nebraska Medical Center Silver Spring MD USA.ORCID https://orcid.org/0000-0003-4588-3911
D M Brett-MajorDepartment of Epidemiology College of Public Health University of Nebraska Medical Center Omaha NE USA.
J R FauverDepartment of Epidemiology College of Public Health University of Nebraska Medical Center Omaha NE USA.
Y GwonDepartment of Biostatistics College of Public Health University of Nebraska Medical Center Omaha NE USA.ORCID https://orcid.org/0000-0001-6974-337X
J E BellDepartment of Environmental Agricultural and Occupational Health, College of Public Health University of Nebraska Medical Center Omaha NE USA.ORCID https://orcid.org/0000-0001-5011-9614

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

West Nile Virus (WNV) is the leading cause of mosquito-borne disease in the United States, yet predicting its transmission remains a significant challenge for public health officials. Many studies use correlative statistical models to predict disease cases using temperature and humidity, but accessible mechanistic approaches that simulate mosquito behavior traits can capture more of the transmission process. This study adapts an existing R-language package, the Mosquito-borne Viral Suitability Estimator (MVSE), which was created to model

Indexed as

Culex pipiensdisease modelingspecies‐specific traitstransmission suitabilityvapor pressure deficit (VPD)west nile virus

Identifiers

PMID41982801
PMCPMC13072058

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.