ArticleInternational journal of environmental research and public health2018
Key Factors Influencing the Incidence of West Nile Virus in Burleigh County, North Dakota.
Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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.
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Who cites it
9 citing papers in PubMed.
- Seasonal Bird Migration Could Explain Regional Synchronicity and Amplification in Human West Nile Virus Case Numbers.GeoHealth · 2025Article
- Impact of climate change on the global circulation of West Nile virus and adaptation responses: a scoping review.Infectious diseases of poverty · 2024Article
- Multi-Model Prediction of West Nile Virus Neuroinvasive Disease With Machine Learning for Identification of Important Regional Climatic Drivers.GeoHealth · 2023Article
- Temporal and Spatial Synchronicity in West Nile Virus Cases Along the Central Flyway, USA.GeoHealth · 2023Article
- Models of spatial analysis for vector-borne diseases studies: A systematic review.Veterinary world · 2022Article
- Updated distribution maps of predominant Culex mosquitoes across the Americas.Parasites & vectors · 2021Article
- The Complex Epidemiological Relationship between Flooding Events and Human Outbreaks of Mosquito-Borne Diseases: A Scoping Review.Environmental health perspectives · 2021Article
- Epidemiology of human West Nile virus infections in the European Union and European Union enlargement countries, 2010 to 2018.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2021Article
- A quantitative comparison of West Nile virus incidence from 2013 to 2018 in Emilia-Romagna, Italy.PLoS neglected tropical diseases · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The city of Bismarck, North Dakota has one of the highest numbers of West Nile Virus (WNV) cases per population in the U.S. Although the city conducts extensive mosquito surveillance, the mosquito abundance alone may not fully explain the occurrence of WNV. Here, we developed models to predict mosquito abundance and the number of WNV cases, independently, by statistically analyzing the most important climate and virus transmission factors. An analysis with the mosquito model indicated that the mosquito numbers increase during a warm and humid summer or after a severely cold winter. In addition, river flooding decreased the mosquito numbers. The number of WNV cases was best predicted by including the virus transmission rate, the mosquito numbers, and the mosquito feeding pattern. This virus transmission rate is a function of temperature and increases significantly above 20 °C. The correlation coefficients (
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