Spatiotemporal characters and influence factors of hand, foot and mouth epidemic in Xinjiang, China.

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  • Author(s): Sun S;Sun S; Li Z; Li Z; Hu X; Hu X; Huang R; Huang R
  • Source:
    PloS one [PLoS One] 2021 Aug 24; Vol. 16 (8), pp. e0254223. Date of Electronic Publication: 2021 Aug 24 (Print Publication: 2021).
  • Publication Type:
    Journal Article; Research Support, Non-U.S. Gov't
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
    • Publication Information:
      Original Publication: San Francisco, CA : Public Library of Science
    • Subject Terms:
      Seasons*; Hand, Foot and Mouth Disease/*epidemiology; Adolescent ; Adult ; Aged ; Aged, 80 and over ; Child ; Child, Preschool ; China/epidemiology ; Female ; Humans ; Incidence ; Infant ; Infant, Newborn ; Male ; Middle Aged ; Socioeconomic Factors
    • Abstract:
      Hand, foot and mouth (HFM) disease is a common childhood illness. The paper aims to capture the spatiotemporal characters, and investigate the influence factors of the HFM epidemic in 15 regions of Xinjiang province from 2008 to 2017, China. Descriptive statistical analysis shows that the children aged 0-5 years have a higher HFM incidence, mostly boys. The male-female ratio is 1.5:1. Through the scanning method, we obtain the first cluster high-risk areas. The cluster time is usually from May to August every year. A spatiotemporal model is proposed to analyze the impact of meteorological factors on HFM disease. Comparing with the spatial model, the model is more effective in terms of R2, AIC, deviation, and mean-square error. Among meteorological factors, the number of HFM cases generally increases with the intensity of rainfall. As the temperature increases, there are more HFM patients. Some regions are mostly influenced by wind speed. Further, another spatiotemporal model is introduced to investigate the relationship between HFM disease and socioeconomic factors. The results show that socioeconomic factors have significant influence on the disease. In most areas, the risk of HFM disease tends to rise with the increase of the gross domestic product, the ratios of urban population and tertiary industry. The incidence is closely related to the number of beds and population density in some regions. The higher the ratio of primary school, the lower the number of HFM cases. Based on the above analysis, it is the key measure to prevent and control the spread of the HFM epidemic in high-risk areas, and influence factors should not be ignored.
      Competing Interests: The authors have declared that no competing interests exist.
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    • Publication Date:
      Date Created: 20210824 Date Completed: 20211123 Latest Revision: 20211123
    • Publication Date:
      20231215
    • Accession Number:
      PMC8384200
    • Accession Number:
      10.1371/journal.pone.0254223
    • Accession Number:
      34428212