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Distribution of geographical scale, data aggregation unit and period in the correlation analysis between temperature and incidence of HFRS in mainland China: A systematic review of 27 ecological studies.

Xing-Hua BaiCheng PengTao JiangZhu-Min HuDe-Sheng HuangPeng Guan
Published in: PLoS neglected tropical diseases (2019)
The present systematic review described the heterogeneity of geographical scale, data aggregation unit and study period chosen in the ecological studies that seeking the correlation between air temperature indexes and the incidence of HFRS in mainland China during the period from January 2014 to February 2019. The appropriate adoption of geographical scale, data aggregation unit, the length of lag period and the length of incidence collection period should be considered when exploring the relationship between HFRS incidence and meteorological factors such as air temperature. Further investigation is warranted to detect the thresholds of meteorological factors for the HFRS early warning purposes, to measure the duration of lagged effects and determine the timing of maximum effects for reducing the effects of meteorological factors on HFRS via continuous interventions and to identify the vulnerable populations for target protection.
Keyphrases
  • risk factors
  • electronic health record
  • systematic review
  • air pollution
  • big data
  • meta analyses
  • human health
  • case control
  • data analysis
  • machine learning