Association between Incidence of Hand-Foot-and-Mouth Disease and Meteorological Factors in Jiangyin City, China, 2012-2017

  • Occupational and environmental health
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Background:
Hand-Foot-and-Mouth Disease (HFMD) has become an increasing burden in the Asia Pacific Region including China. In order to take more effective measures to prevent HFMD, the impacts of meteorological factors on incidence of HFMD in Jiangyin City were explored.

Methods:
The daily cases of HFMD from China Information System for Disease Control and Prevention and the date of daily average temperature, air pressure and relative humidity from National Meteorological Information Center were collected from 2012 to 2017 in Jiangyin City. Chi-square test, Pearson correlation analysis and multiple linear regression were conducted to evaluated the association between the incidence of HFMD with meteorological factors by software SPSS 16.0.

Results:
A total of 21791 HFMD cases were reported in Jiangyin City during 2012-2017, the yearly incidence rate was 131.09/100000 to 317.18/100000 and statistically significant fluctuation was observed (χ2trend=99.85,P<0.001). There was a significant positive correlation between the daily incidence of HFMD with daily average temperature and daily average relative humidity (r=0.364, P<0.001; r=0.085, P<0.001), while negative correlation with daily average pressure was found (r=-0.433, P<0.001). Further analysis showed that the risk of HFMD was in the peak under the temperature of 20-30 (RR=7.74), and the pressure of 1000-1010 hpa could have the greatest effect on HFMD (RR=17.05), and the relative humidity of 60%-80% might lead to the risk of HFMD in the highest level (RR=1.30). Multiple linear regression showed that both daily average temperature and daily mean pressure had an effect on the number of daily HFMD (both P<0.05).

Conclusion:
Meteorological factors may have a significant impact on the incidence of HFMD in Jiangyin City. 20-30 ,1000-1010hpa and relative humidity of 60%-80% may lead to the highest risk of HFMD, these data can certainly be used to strengthen surveillance systems in the early warning of HFMD.

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