ArticleComputational and mathematical methods in medicine2019
Spatiotemporal Distributions and Dynamics of Human Infections with the A H7N9 Avian Influenza Virus.
Article in Computational and mathematical methods in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 7 citations in OpenAlex.
- Estimation of influenza incidence and analysis of epidemic characteristics from 2009 to 2022 in Zhejiang Province, China.Frontiers in public health · 2023Article
- Geographical characteristics and influencing factors of the influenza epidemic in Hubei, China, from 2009 to 2019.PloS one · 2023Article
- Respiratory illness virus infections with special emphasis on COVID-19.European journal of medical research · 2022Review
- Spatiotemporal Analysis of Influenza in China, 2005-2018.Scientific reports · 2019Article
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2 authors at 1 institution in 1 country.
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Abstract
In 2013 in mainland China, a novel avian influenza virus H7N9 began to infect humans and had aroused severe fatality in the infected humans, followed by the annual outbreaks. By methods of GIS and kriging interpolation, we get the geographical distributions. We obtain the longitudinal characteristics of these outbreaks based on statistics and diagrams. After these spatiotemporal distributions, an eco-epidemiological model is established and analyzed. In this model, the general incidence functions, the factor of fully killed infected poultry, and the virus in environment are taken into account. Theoretical analysis shows that the endemic will be formed to a large extent once the H7N9 avian influenza virus exists in poultry. On the basis of dynamics, we explore the possible disease control measures by numerical simulations. Simulations indicate that measures of vaccination in poultry and stopping live poultry transactions are the primary choices for disease control in humans, and strengthened inhibition effects and environmental disinfections can effectively control the outbreak.
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