IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i9p1826-d165482.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/9/1826/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/9/1826/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

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

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yanping Yang & Jianjun Chen & Renjie Huang & Zihao Feng & Guoqing Zhou & Haotian You & Xiaowen Han, 2022. "Construction of Ecological Security Pattern Based on the Importance of Ecological Protection—A Case Study of Guangxi, a Karst Region in China," IJERPH, MDPI, vol. 19(9), pages 1-22, May.
    2. Daniel A. Griffith & Manfred M. Fischer & James LeSage, 2017. "The spatial autocorrelation problem in spatial interaction modelling: a comparison of two common solutions," Letters in Spatial and Resource Sciences, Springer, vol. 10(1), pages 75-86, March.
    3. Aurélien Fichet de Clairfontaine & Manfred Fischer & Rafael Lata & Manfred Paier, 2015. "Barriers to cross-region research and development collaborations in Europe: evidence from the fifth European Framework Programme," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 577-590, March.
    4. Sami Ullah & Hanita Daud & Sarat C. Dass & Hadi Fanaee-T & Husnul Kausarian & Alamgir, 2020. "Space-Time Clustering Characteristics of Tuberculosis in Khyber Pakhtunkhwa Province, Pakistan, 2015–2019," IJERPH, MDPI, vol. 17(4), pages 1-10, February.
    5. Kai Zhu & Zhiling Gu & Jingang Li, 2023. "Analysis of the China’s Interprovincial Innovation Connection Network Based on Modified Gravity Model," Land, MDPI, vol. 12(5), pages 1-19, May.
    6. Oshan, Taylor M., 2022. "Spatial Interaction Modeling," OSF Preprints m3ah8, Center for Open Science.
    7. Hua Zhu & Han Zhao & Rong Ou & Haiyan Xiang & Ling Hu & Dan Jing & Manoj Sharma & Mengliang Ye, 2019. "Epidemiological Characteristics and Spatiotemporal Analysis of Mumps from 2004 to 2018 in Chongqing, China," IJERPH, MDPI, vol. 16(17), pages 1-14, August.
    8. Tamara Mata & Carlos Llano, 2013. "Social networks and trade of services: modelling interregional flows with spatial and network autocorrelation effects," Journal of Geographical Systems, Springer, vol. 15(3), pages 319-367, July.
    9. Wolfgang Polasek & Richard Sellner, 2013. "The Does Globalization Affect Regional Growth? Evidence for NUTS-2 Regions in EU-27," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 1, pages 23-65, March.
    10. Philipp Otto & Wolfgang Schmid, 2018. "Spatiotemporal analysis of German real-estate prices," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 41-72, January.
    11. Michael Fritsch & Mirko Titze & Matthias Piontek, 2020. "Identifying cooperation for innovation―a comparison of data sources," Industry and Innovation, Taylor & Francis Journals, vol. 27(6), pages 630-659, June.
    12. Paula Margaretic & Christine Thomas-Agnan & Romain Doucet, 2017. "Spatial dependence in (origin-destination) air passenger flows," Papers in Regional Science, Wiley Blackwell, vol. 96(2), pages 357-380, June.
    13. Morton, Craig & Mattioli, Giulio, 2023. "Competition in Multi-Airport Regions: Measuring airport catchments through spatial interaction models," Journal of Air Transport Management, Elsevier, vol. 112(C).
    14. Roger Bivand, 2011. "Red Herrings and Club-Convergence: Lessons from Macroecology for Modelling Regional Growth," ERSA conference papers ersa10p482, European Regional Science Association.
    15. Daniele Fabbri & Silvana Robone, 2010. "The geography of hospital admission in a national health service with patient choice," Health Economics, John Wiley & Sons, Ltd., vol. 19(9), pages 1029-1047, September.
    16. Lingbo Liu & Yuni Zhong & Siya Ao & Hao Wu, 2019. "Exploring the Relevance of Green Space and Epidemic Diseases Based on Panel Data in China from 2007 to 2016," IJERPH, MDPI, vol. 16(14), pages 1-21, July.
    17. F. Bavaud & M. Kordi & C. Kaiser, 2018. "Flow autocorrelation: a dyadic approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(1), pages 95-111, July.
    18. Giuseppe Ricciardo Lamonica & Barbara Zagaglia, 2013. "The determinants of internal mobility in Italy, 1995-2006," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(16), pages 407-440.
    19. Oshan, Taylor M., 2020. "The spatial structure debate in spatial interaction modeling: 50 years on," OSF Preprints 42vxn, Center for Open Science.
    20. Yongwan Chun, 2008. "Modeling network autocorrelation within migration flows by eigenvector spatial filtering," Journal of Geographical Systems, Springer, vol. 10(4), pages 317-344, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:9:p:1826-:d:165482. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.