ArticlePloS one2011
Predictive mapping of human risk for West Nile virus (WNV) based on environmental and socioeconomic factors.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
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Who cites it
45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 82 citations in OpenAlex.
- Systematic Review: Land Cover, Meteorological, and Socioeconomic Determinants of Aedes Mosquito Habitat for Risk Mapping.International journal of environmental research and public health · 2017Pooled it
- Geographic variations of the bird-borne structural risk of West Nile virus circulation in Europe.PloS one · 2017Pooled it
- Life-history traits associated to West Nile virus seroprevalence in wild birds: Lessons from the recent outbreaks in Spain.One health (Amsterdam, Netherlands) · 2026Article
- Agriculture-urban interfaces, social vulnerability and climate change shape West Nile virus risk across the United States.Biology letters · 2026Article
- Predicting West Nile virus circulation: a 20-year spatiotemporal study in humans and animals in Spain, 2003 to 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026Article
- Impacts of Urbanization and Habitat Characteristics on the Human Risk of West Nile Disease in the United States.Biology · 2025Article
- Regional variation in the landscape ecology of West Nile virus sentinel chicken seroconversion in Florida.PloS one · 2024Article
- Ecological Niche and Positive Clusters of Two West Nile Virus Vectors in Ontario, Canada.EcoHealth · 2023Article
- Mapping the abundance of endemic mosquito-borne diseases vectors in southern Quebec.BMC public health · 2023Article
- Artificial intelligence to predict West Nile virus outbreaks with eco-climatic drivers.The Lancet regional health. Europe · 2022Article
- Spatiotemporal Analysis of West Nile Virus Epidemic in South Banat District, Serbia, 2017-2019.Animals : an open access journal from MDPI · 2021Article
- A proposed framework for the development and qualitative evaluation of West Nile virus models and their application to local public health decision-making.PLoS neglected tropical diseases · 2021Review
- Arboviral diseases and poverty in Alabama, 2007-2017.PLoS neglected tropical diseases · 2021Article
- A review about methods for supporting failure risks analysis in eco-assessment.Environmental monitoring and assessment · 2021Review
- A 20-year historical review of West Nile virus since its initial emergence in North America: Has West Nile virus become a neglected tropical disease?PLoS neglected tropical diseases · 2021Review
- Outdoor Residential Water Use Restrictions during Recent Drought Suppressed Disease Vector Abundance in Southern California.Environmental science & technology · 2021Article
- Predicting eastern equine encephalitis spread in North America: An ecological study.Current research in parasitology & vector-borne diseases · 2021Article
- Socio-eco-evolutionary dynamics in cities.Evolutionary applications · 2021Article
- Article
- Environmental and Sociological Factors Associated with the Incidence of West Nile Virus Cases in the Northern San Joaquin Valley of California, 2011-2015.Vector borne and zoonotic diseases (Larchmont, N.Y.) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A West Nile virus (WNV) human risk map was developed for Suffolk County, New York utilizing a case-control approach to explore the association between the risk of vector-borne WNV and habitat, landscape, virus activity, and socioeconomic variables derived from publically available datasets. Results of logistic regression modeling for the time period between 2000 and 2004 revealed that higher proportion of population with college education, increased habitat fragmentation, and proximity to WNV positive mosquito pools were strongly associated with WNV human risk. Similar to previous investigations from north-central US, this study identified middle class suburban neighborhoods as the areas with the highest WNV human risk. These results contrast with similar studies from the southern and western US, where the highest WNV risk was associated with low income areas. This discrepancy may be due to regional differences in vector ecology, urban environment, or human behavior. Geographic Information Systems (GIS) analytical tools were used to integrate the risk factors in the 2000-2004 logistic regression model generating WNV human risk map. In 2005-2010, 41 out of 46 (89%) of WNV human cases occurred either inside of (30 cases) or in close proximity (11 cases) to the WNV high risk areas predicted by the 2000-2004 model. The novel approach employed by this study may be implemented by other municipal, local, or state public health agencies to improve geographic risk estimates for vector-borne diseases based on a small number of acute human cases.
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Registered trials
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.