ArticleScientific reports2015
Identification of climate factors related to human infection with avian influenza A H7N9 and H5N1 viruses in China.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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23 citing papers in PubMed, 42 citations in OpenAlex.
- Spatiotemporal distribution trends and driving factors of avian influenza in poultry in China.One health (Amsterdam, Netherlands) · 2026Article
- Integrated region-specific modeling of H5 avian influenza in Asia using ENSO-based forecasts.One health (Amsterdam, Netherlands) · 2026Article
- Disentangling the drivers and host-mediated global spread of H7 influenza A virus.Nature communications · 2026Article
- Spatiotemporal Risk Assessment of H5 Avian Influenza in China: An Interpretable Machine Learning Approach to Uncover Multi-Scale Drivers.Animals : an open access journal from MDPI · 2025Article
- Detection and prevalence of avian influenza epidemic in the southwest of Poyang Lake and analysis of the influence of meteorological factors.One health (Amsterdam, Netherlands) · 2025Article
- Analysis of the surveillance results of avian influenza in the external environment of huzhou city from 2017 to 2023.PloS one · 2025Article
- An overview of avian influenza surveillance strategies and modes.Science in One Health · 2023Review
- Influenza A and B outbreaks differed in their associations with climate conditions in Shenzhen, China.International journal of biometeorology · 2022Article
- Associations between Temperature and Influenza Activity: A National Time Series Study in China.International journal of environmental research and public health · 2021Article
- SARS-CoV-2: Origin, Intermediate Host and Allergenicity Features and Hypotheses.Healthcare (Basel, Switzerland) · 2021Article
- How socio-economic and atmospheric variables impact COVID-19 and influenza outbreaks in tropical and subtropical regions of Brazil.Environmental research · 2020Article
- Clinical Features, Epidemiology, and Climatic Impact of Genotype-specific Human Metapneumovirus Infections: Long-term Surveillance of Hospitalized Patients in South Korea.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020Article
- Effectiveness of Live Poultry Market Interventions on Human Infection with Avian Influenza A(H7N9) Virus, China.Emerging infectious diseases · 2020Article
- Could Environment Affect the Mutation of H1N1 Influenza Virus?International journal of environmental research and public health · 2020Article
- Role of Extracellular Vesicles in Influenza Virus Infection.Frontiers in cellular and infection microbiology · 2020Review
- Effects of temperature, humidity, and diurnal temperature range on influenza incidence in a temperate region.Influenza and other respiratory viruses · 2020Article
- Article
- Health impact of climate change in cities of middle-income countries: the case of China.British medical bulletin · 2019Review
- The epidemic potential of avian influenza A (H7N9) virus in humans in mainland China: A two-stage risk analysis.PloS one · 2019Article
- Potential Biological and Climatic Factors That Influence the Incidence and Persistence of Highly Pathogenic H5N1 Avian Influenza Virus in Egypt.Frontiers in microbiology · 2018Article
Corrections and comments
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Authors and funding
14 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human influenza infections display a strongly seasonal pattern. However, whether H7N9 and H5N1 infections correlate with climate factors has not been examined. Here, we analyzed 350 cases of H7N9 infection and 47 cases of H5N1 infection. The spatial characteristics of these cases revealed that H5N1 infections mainly occurred in the South, Middle, and Northwest of China, while the occurrence of H7N9 was concentrated in coastal areas of East and South of China. Aside from spatial-temporal characteristics, the most adaptive meteorological conditions for the occurrence of human infections by these two viral subtypes were different. We found that H7N9 infections correlate with climate factors, especially temperature (TEM) and relative humidity (RHU), while H5N1 infections correlate with TEM and atmospheric pressure (PRS). Hence, we propose a risky window (TEM 4-14 °C and RHU 65-95%) for H7N9 infection and (TEM 2-22 °C and PRS 980-1025 kPa) for H5N1 infection. Our results represent the first step in determining the effects of climate factors on two different virus infections in China and provide warning guidelines for the future when provinces fall into the risky windows. These findings revealed integrated predictive meteorological factors rooted in statistic data that enable the establishment of preventive actions and precautionary measures against future outbreaks.
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