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Spatiotemporal Characteristics of Bacillary Dysentery from 2005 to 2017 in Zhejiang Province, China

Author

Listed:
  • Congcong Yan

    (Department of Preventive Medicine, School of Medicine, Ningbo University, Ningbo 315200, China)

  • Yijuan Chen

    (Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China)

  • Ziping Miao

    (Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China)

  • Shuwen Qin

    (Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China)

  • Hua Gu

    (Zhejiang Provincial Center for Medical Science Technology & Education, Hangzhou 310006, China)

  • Jian Cai

    (Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China)

Abstract

Background: This study aimed to analyze the epidemiological and spatiotemporal characteristics of bacillary dysentery in Zhejiang Province and to provide the basis for its monitoring, prevention and control. Methods: This study included cases registered in China Information System for Diseases Control and Prevention from 1 January 2005 to 31 December 2017 in Zhejiang. Descriptive methods were employed to investigate the long trend of this disease: gender distribution, high-risk population, seasonality, and circular distribution was explored to detect the peak period; incidence maps were made to show the incidence trend of disease at county level; spatial autocorrelation was explored and the regions with autocorrelation were detected; and spatiotemporal scan was conducted to map out the high-risk regions of disease and how long they lasted. Statistical significance was assumed at p value of <0.05. Results: A total of 105,577 cases of bacillary dysentery were included, the incidence declining sharply from 45.84/100,000 to 3.44/100,000 with an obvious seasonal peak from July to October. Males were more predisposed to the infection than females. Pre-education children had the highest proportion among all occupation categories. Incidence in all age groups were negatively correlated with the year ( p < 0.001), and the incidences were negatively correlated with the age groups in 2005–2008 ( p = 0.022, 0.025, 0.044, and 0.047, respectively). Local autocorrelation showed that counties in Hangzhou were high-risk regions of bacillary dysentery. The spatiotemporal scan indicated that all clusters occurred before 2011, and the most likely cluster for disease was found in Hangzhou, Jiaxing and Huzhou. Conclusions: The incidence of bacillary dysentery in Zhejiang from 2005 to 2017 featured spatiotemporal clustering, and remained high in some areas and among the young population. Findings in this study serve as a panorama of bacillary dysentery in Zhejiang and provide useful information for better interventions and public health planning.

Suggested Citation

  • Congcong Yan & Yijuan Chen & Ziping Miao & Shuwen Qin & Hua Gu & Jian Cai, 2018. "Spatiotemporal Characteristics of Bacillary Dysentery from 2005 to 2017 in Zhejiang Province, China," IJERPH, MDPI, vol. 15(9), pages 1-14, August.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:9:p:1826-:d:165482
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    References listed on IDEAS

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    1. Bin Zhu & Jinlin Liu & Yang Fu & Bo Zhang & Ying Mao, 2018. "Spatio-Temporal Epidemiology of Viral Hepatitis in China (2003–2015): Implications for Prevention and Control Policies," IJERPH, MDPI, vol. 15(4), pages 1-17, April.
    2. Manfred M. Fischer & Daniel A. Griffith, 2008. "Modeling Spatial Autocorrelation In Spatial Interaction Data: An Application To Patent Citation Data In The European Union," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 969-989, December.
    3. Chengjing Nie & Hairong Li & Linsheng Yang & Gemei Zhong & Lan Zhang, 2014. "Socio-Economic Factors of Bacillary Dysentery Based on Spatial Correlation Analysis in Guangxi Province, China," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-6, July.
    4. Han Zhang & Yali Si & Xiaofeng Wang & Peng Gong, 2017. "Environmental Drivers and Predicted Risk of Bacillary Dysentery in Southwest China," IJERPH, MDPI, vol. 14(7), pages 1-15, July.
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    Cited by:

    1. Antonio López-Quílez, 2019. "Spatio-Temporal Analysis of Infectious Diseases," IJERPH, MDPI, vol. 16(4), pages 1-2, February.

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