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Spatial heterogeneity of bacillary dysentery and the impact of temperature in the Beijing–Tianjin–Hebei region of China.

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Title: Spatial heterogeneity of bacillary dysentery and the impact of temperature in the Beijing–Tianjin–Hebei region of China.
Authors: Wang, Li1,2,3 (AUTHOR), Xu, Chengdong2,4 (AUTHOR), Xiao, Gexin5 (AUTHOR) biocomputer@126.com, Qiao, Jiajun1 (AUTHOR), Zhang, Chaozheng6 (AUTHOR)
Source: International Journal of Biometeorology. Nov2021, Vol. 65 Issue 11, p1919-1927. 9p.
Subject Terms: *Shigellosis, *Heterogeneity, *Temperature effect, *Temperature, *Population density
Geographic Terms: Beijing (China), Hebei Sheng (China), Tianjin (China)
Abstract: Previous studies indicate that the incidence of bacillary dysentery is closely related to meteorological factors. However, the impact of temperature and the spatial heterogeneity of the disease in regions of unbalanced socioeconomic development remains unclear. Therefore, this research collected data for 29,639 daily bacillary dysentery cases in children under 5 years of age, as well as the meteorological variables from China's Beijing–Tianjin–Hebei region, to analyze the spatial pattern of bacillary dysentery and reveal its nonlinear association with temperature. The SatScan method was employed first, to detect the spatial heterogeneity of the disease risk, and then the distributed lag nonlinear model (DLNM) was used to analyze the relationships between the daily minimum, mean, and maximum temperatures and bacillary dysentery in the stratified heterogeneous regions. The results indicated that bacillary dysentery incidence presented statistically significant spatial heterogeneity. The area of highest risk was found to be Beijing and its neighboring regions, which have high population densities. There was also a positive association between bacillary dysentery and temperature. Hotter temperatures were accompanied by higher relative risks. In the most likely spatial cluster region, the excess risk (ER) values for a 1°C rise in minimum, mean, and maximum temperatures above the median were 4.65%, 11.30%, and 19.21%, respectively. The effect of temperature on bacillary dysentery peaked at a lag of 3 to 4 days. The findings of this study will aid risk assessments and early warning systems for bacillary dysentery. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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DbLabel: Energy & Power Source
An: 153186177
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  Label: Title
  Group: Ti
  Data: Spatial heterogeneity of bacillary dysentery and the impact of temperature in the Beijing–Tianjin–Hebei region of China.
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Li%22">Wang, Li</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Chengdong%22">Xu, Chengdong</searchLink><relatesTo>2,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xiao%2C+Gexin%22">Xiao, Gexin</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> biocomputer@126.com</i><br /><searchLink fieldCode="AR" term="%22Qiao%2C+Jiajun%22">Qiao, Jiajun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Chaozheng%22">Zhang, Chaozheng</searchLink><relatesTo>6</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Biometeorology%22">International Journal of Biometeorology</searchLink>. Nov2021, Vol. 65 Issue 11, p1919-1927. 9p.
– Name: Subject
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  Data: *<searchLink fieldCode="DE" term="%22Shigellosis%22">Shigellosis</searchLink><br />*<searchLink fieldCode="DE" term="%22Heterogeneity%22">Heterogeneity</searchLink><br />*<searchLink fieldCode="DE" term="%22Temperature+effect%22">Temperature effect</searchLink><br />*<searchLink fieldCode="DE" term="%22Temperature%22">Temperature</searchLink><br />*<searchLink fieldCode="DE" term="%22Population+density%22">Population density</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Beijing+%28China%29%22">Beijing (China)</searchLink><br /><searchLink fieldCode="DE" term="%22Hebei+Sheng+%28China%29%22">Hebei Sheng (China)</searchLink><br /><searchLink fieldCode="DE" term="%22Tianjin+%28China%29%22">Tianjin (China)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Previous studies indicate that the incidence of bacillary dysentery is closely related to meteorological factors. However, the impact of temperature and the spatial heterogeneity of the disease in regions of unbalanced socioeconomic development remains unclear. Therefore, this research collected data for 29,639 daily bacillary dysentery cases in children under 5 years of age, as well as the meteorological variables from China's Beijing–Tianjin–Hebei region, to analyze the spatial pattern of bacillary dysentery and reveal its nonlinear association with temperature. The SatScan method was employed first, to detect the spatial heterogeneity of the disease risk, and then the distributed lag nonlinear model (DLNM) was used to analyze the relationships between the daily minimum, mean, and maximum temperatures and bacillary dysentery in the stratified heterogeneous regions. The results indicated that bacillary dysentery incidence presented statistically significant spatial heterogeneity. The area of highest risk was found to be Beijing and its neighboring regions, which have high population densities. There was also a positive association between bacillary dysentery and temperature. Hotter temperatures were accompanied by higher relative risks. In the most likely spatial cluster region, the excess risk (ER) values for a 1°C rise in minimum, mean, and maximum temperatures above the median were 4.65%, 11.30%, and 19.21%, respectively. The effect of temperature on bacillary dysentery peaked at a lag of 3 to 4 days. The findings of this study will aid risk assessments and early warning systems for bacillary dysentery. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00484-021-02148-3
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 9
        StartPage: 1919
    Subjects:
      – SubjectFull: Shigellosis
        Type: general
      – SubjectFull: Heterogeneity
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      – SubjectFull: Temperature effect
        Type: general
      – SubjectFull: Temperature
        Type: general
      – SubjectFull: Population density
        Type: general
      – SubjectFull: Beijing (China)
        Type: general
      – SubjectFull: Hebei Sheng (China)
        Type: general
      – SubjectFull: Tianjin (China)
        Type: general
    Titles:
      – TitleFull: Spatial heterogeneity of bacillary dysentery and the impact of temperature in the Beijing–Tianjin–Hebei region of China.
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            NameFull: Wang, Li
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            NameFull: Xu, Chengdong
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            NameFull: Xiao, Gexin
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            NameFull: Qiao, Jiajun
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            – D: 01
              M: 11
              Text: Nov2021
              Type: published
              Y: 2021
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            – TitleFull: International Journal of Biometeorology
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