ArticleArchives of virology2015
Combining phylogeography and spatial epidemiology to uncover predictors of H5N1 influenza A virus diffusion.
Article in Archives of virology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Poultry farm density and proximity drive highly pathogenic avian influenza spread.Communications biology · 2025Article
- Quantifying Time-Dependent Predictors for the International Spatial Spread of Highly Pathogenic Avian Influenza H5NX: Focus on Trade and Surveillance Efforts.Transboundary and emerging diseases · 2025Article
- Ecogeographic Drivers of the Spatial Spread of Highly Pathogenic Avian Influenza Outbreaks in Europe and the United States, 2016-Early 2022.International journal of environmental research and public health · 2023Article
- Combined Phylogeographic Analyses and Epidemiologic Contact Tracing to Characterize Atypically Pathogenic Avian Influenza (H3N1) Epidemic, Belgium, 2019.Emerging infectious diseases · 2023Article
- Habitat connectivity and host relatedness influence virus spread across an urbanising landscape in a fragmentation-sensitive carnivore.Virus evolution · 2023Article
- Phylodynamic and phylogeographic reconstruction of porcine reproductive and respiratory syndrome virus (PRRSV) in Europe: Patterns and determinants.Transboundary and emerging diseases · 2022Article
- Genomic epidemiology of the SARS-CoV-2 epidemic in Brazil.Nature microbiology · 2022Article
- Genomic epidemiology reveals the impact of national and international restrictions measures on the SARS-CoV-2 epidemic in Brazil.medRxiv : the preprint server for health sciences · 2022Article
- Short-term impact of ambient temperature on the incidence of influenza in Wuhan, China.Environmental science and pollution research international · 2022Article
- Disentangling the role of poultry farms and wild birds in the spread of highly pathogenic avian influenza virus in Europe.Virus evolution · 2022Article
- Spatiotemporal reconstruction and transmission dynamics during the 2016-17 H5N8 highly pathogenic avian influenza epidemic in Italy.Transboundary and emerging diseases · 2021Article
- Agricultural and geographic factors shaped the North American 2015 highly pathogenic avian influenza H5N2 outbreak.PLoS pathogens · 2020Article
- Animal Disease Surveillance in the 21st Century: Applications and Robustness of Phylodynamic Methods in Recent U.S. Human-Like H3 Swine Influenza Outbreaks.Frontiers in veterinary science · 2020Article
- Pathogens in space: Advancing understanding of pathogen dynamics and disease ecology through landscape genetics.Evolutionary applications · 2018Review
- The effects of random taxa sampling schemes in Bayesian virus phylogeography.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2018Article
- Unlocking pandemic potential: prevalence and spatial patterns of key substitutions in avian influenza H5N1 in Egyptian isolates.BMC infectious diseases · 2018Article
- GeoBoost: accelerating research involving the geospatial metadata of virus GenBank records.Bioinformatics (Oxford, England) · 2018Article
- The Effects of Sampling Location and Predictor Point Estimate Certainty on Posterior Support in Bayesian Phylogeographic Generalized Linear Models.Scientific reports · 2018Article
- Bluetongue virus spread in Europe is a consequence of climatic, landscape and vertebrate host factors as revealed by phylogeographic inference.Proceedings. Biological sciences · 2017Article
- Bayesian phylogeography of influenza A/H3N2 for the 2014-15 season in the United States using three frameworks of ancestral state reconstruction.PLoS computational biology · 2017Article
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5 authors.
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Abstract
Emerging and re-emerging infectious diseases of zoonotic origin like highly pathogenic avian influenza pose a significant threat to human and animal health due to their elevated transmissibility. Identifying the drivers of such viruses is challenging, and estimation of spatial diffusion is complicated by the fact that the variability of viral spread from locations could be caused by a complex array of unknown factors. Several techniques exist to help identify these drivers, including bioinformatics, phylogeography, and spatial epidemiology, but these methods are generally evaluated separately and do not consider the complementary nature of each other. Here, we studied an approach that integrates these techniques and identifies the most important drivers of viral spread by focusing on H5N1 influenza A virus in Egypt because of its recent emergence as an epicenter for the disease. We used a Bayesian phylogeographic generalized linear model (GLM) to reconstruct spatiotemporal patterns of viral diffusion while simultaneously assessing the impact of factors contributing to transmission. We also calculated the cross-species transmission rates among hosts in order to identify the species driving transmission. The densities of both human and avian species were supported contributors, along with latitude, longitude, elevation, and several meteorological variables. Also supported was the presence of a genetic motif found near the hemagglutinin cleavage site. Various genetic, geographic, demographic, and environmental predictors each play a role in H1N1 diffusion. Further development and expansion of phylogeographic GLMs such as this will enable health agencies to identify variables that can curb virus diffusion and reduce morbidity and mortality.
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