4.7 Article

Geographical variation in the risk of H7N9 human infections in China: implications for risk-based surveillance

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SCIENTIFIC REPORTS
卷 10, 期 1, 页码 -

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NATURE RESEARCH
DOI: 10.1038/s41598-020-66359-1

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资金

  1. Major National Science and Technology Project during the 13th five-year plan The construction and application of spatial-temporal prediction and early warning model for acute infectious diseases based on massive multivariate big data [2018zx10201002]
  2. Food and Agricultural Organization (FAO)
  3. China Animal Health and Epidemiology Center (CAHEC)
  4. University of Queensland International Postgraduate Research Scholarship (UQ IPRS)
  5. Emergency Center for Transboundary Animal Diseases (ECTAD) in China
  6. FAO of the United Nations
  7. CAHEC

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The influenza A (H7N9) subtype remains a public health problem in China affecting individuals in contact with live poultry, particularly at live bird markets. Despite enhanced surveillance and biosecurity at LBMs H7N9 viruses are now more widespread in China. This study aims to quantify the temporal relationship between poultry surveillance results and the onset of human H7N9 infections during 2013-2017 and to estimate risk factors associated with geographical risk of H7N9 human infections in counties in Southeast China. Our results suggest that poultry surveillance data can potentially be used as early warning indicators for human H7N9 notifications. Furthermore, we found that human H7N9 incidence at county-level was significantly associated with the presence of wholesale LBMs, the density of retail LBMs, the presence of poultry virological positives, poultry movements from high-risk areas, as well as chicken population density and human population density. The results of this study can influence the current AI H7N9 control program by supporting the integration of poultry surveillance data with human H7N9 notifications as an early warning of the timing and areas at risk for human infection. The findings also highlight areas in China where monitoring of poultry movement and poultry infections could be prioritized.

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