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CN 34-1304/RISSN 1674-3679

Volume 24 Issue 11
Dec.  2020
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Article Contents
PAN Meng-hua, HUANG Bing, LI Yan-ning. Analysis of spatial clustering and influencing factors of hand, foot, and mouth disease in Nanning based on Nuclear Density and Geodetector[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2020, 24(11): 1269-1274, 1331. doi: 10.16462/j.cnki.zhjbkz.2020.11.006
Citation: PAN Meng-hua, HUANG Bing, LI Yan-ning. Analysis of spatial clustering and influencing factors of hand, foot, and mouth disease in Nanning based on Nuclear Density and Geodetector[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2020, 24(11): 1269-1274, 1331. doi: 10.16462/j.cnki.zhjbkz.2020.11.006

Analysis of spatial clustering and influencing factors of hand, foot, and mouth disease in Nanning based on Nuclear Density and Geodetector

doi: 10.16462/j.cnki.zhjbkz.2020.11.006
Funds:

National Natural Science Foundation of China 81260450

More Information
  • Corresponding author: LI Yan-ning, E-mail:liyanning@gxmu.edu.cn
  • Received Date: 2020-07-29
  • Rev Recd Date: 2020-09-12
  • Publish Date: 2020-11-10
  •   Objective  To analyze the spatial clustering and influencing factors of hand, foot and mouth disease (HFMD) in Nanning during the period from 2008 to 2015, so as to provide reference for HFMD prevention and control in Nanning.  Methods  The information about HFMD in Nanning from 2008 to 2015 was collected, spatial clustering was analyzed by nuclear density, and the effects of meteorological factors and socioeconomic factors on HFMD incidence was analyzed by Geodetector.  Results  A total of 326 785 HFMD cases were reported from 2008 to 2015 in Nanning. The average annual incidence was 505.24/100 000 with the peak incidence concentrating from April to July. The nuclear density analysis showed that there was obvious spatial clustering of HFMD. The areas of clustering in all eight years were the junction of five districts: Xingning District, Qingxiu District, Jiangnan District, Liangqing District and Xixiangtang District, and the parts of Mashan County. The Geodetector analysis revealed that meteorological factors had stronger impact on HFMD than socioeconomic factors, and the interactive effects between factors were stronger than their individual effects. Both the individual and interactive effects of temperature and relative humidity were the strongest, with interactions up to a maximum q value of 0.71 (P < 0.001).  Conclusions  The meteorological factors could have stronger effects on the HFMD incidence in Nanning from 2008 to 2015, the effects of socioeconomic factors may be bi-directional, urban areas and some grassroots areas should be concerned for prevention and control.
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