ArticlePLoS computational biology2019
A spatio-temporal individual-based network framework for West Nile virus in the USA: Spreading pattern of West Nile virus.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Article
- Pathogens spread by high-flying wind-borne mosquitoes.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Seasonal Bird Migration Could Explain Regional Synchronicity and Amplification in Human West Nile Virus Case Numbers.GeoHealth · 2025Article
- A parsimonious Bayesian predictive model for forecasting new reported cases of West Nile disease.Infectious Disease Modelling · 2024Article
- Are all underimmunized measles clusters equally critical?Royal Society open science · 2023Article
- Comparison of West Nile Virus Disease in Humans and Horses: Exploiting Similarities for Enhancing Syndromic Surveillance.Viruses · 2023Review
- Temporal and Spatial Synchronicity in West Nile Virus Cases Along the Central Flyway, USA.GeoHealth · 2023Article
- Are all underimmunized measles clusters equally critical?medRxiv : the preprint server for health sciences · 2023Article
- Spatial patterns of West Nile virus distribution in the Volgograd region of Russia, a territory with long-existing foci.PLoS neglected tropical diseases · 2022Article
- Contact tracing evaluation for COVID-19 transmission in the different movement levels of a rural college town in the USA.Scientific reports · 2021Article
- Article
- Risk assessment of Ebola virus disease spreading in Uganda using a two-layer temporal network.Scientific reports · 2019Article
- Predicting West Nile virus transmission in North American bird communities using phylogenetic mixed effects models and eBird citizen science data.Parasites & vectors · 2019Article
- Understanding the survival of Zika virus in a vector interconnected sexual contact network.Scientific reports · 2019Article
- Estimation of swine movement network at farm level in the US from the Census of Agriculture data.Scientific reports · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
West Nile virus (WNV)-a mosquito-borne arbovirus-entered the USA through New York City in 1999 and spread to the contiguous USA within three years while transitioning from epidemic outbreaks to endemic transmission. The virus is transmitted by vector competent mosquitoes and maintained in the avian populations. WNV spatial distribution is mainly determined by the movement of residential and migratory avian populations. We developed an individual-level heterogeneous network framework across the USA with the goal of understanding the long-range spatial distribution of WNV. To this end, we proposed three distance dispersal kernels model: 1) exponential-short-range dispersal, 2) power-law-long-range dispersal in all directions, and 3) power-law biased by flyway direction -long-range dispersal only along established migratory routes. To select the appropriate dispersal kernel we used the human case data and adopted a model selection framework based on approximate Bayesian computation with sequential Monte Carlo sampling (ABC-SMC). From estimated parameters, we find that the power-law biased by flyway direction kernel is the best kernel to fit WNV human case data, supporting the hypothesis of long-range WNV transmission is mainly along the migratory bird flyways. Through extensive simulation from 2014 to 2016, we proposed and tested hypothetical mitigation strategies and found that mosquito population reduction in the infected states and neighboring states is potentially cost-effective.
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