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Dynamic spatiotemporal analysis of indigenous dengue fever at street-level in Guangzhou city, China

Author

Listed:
  • Kangkang Liu
  • Yanshan Zhu
  • Yao Xia
  • Yingtao Zhang
  • Xiaodong Huang
  • Jiawei Huang
  • Enqiong Nie
  • Qinlong Jing
  • Guoling Wang
  • Zhicong Yang
  • Wenbiao Hu
  • Jiahai Lu

Abstract

Background: This study aimed to investigate the spatiotemporal clustering and socio-environmental factors associated with dengue fever (DF) incidence rates at street level in Guangzhou city, China. Methods: Spatiotemporal scan technique was applied to identify the high risk region of DF. Multiple regression model was used to identify the socio-environmental factors associated with DF infection. A Poisson regression model was employed to examine the spatiotemporal patterns in the spread of DF. Results: Spatial clusters of DF were primarily concentrated at the southwest part of Guangzhou city. Age group (65+ years) (Odd Ratio (OR) = 1.49, 95% Confidence Interval (CI) = 1.13 to 2.03), floating population (OR = 1.09, 95% CI = 1.05 to 1.15), low-education (OR = 1.08, 95% CI = 1.01 to 1.16) and non-agriculture (OR = 1.07, 95% CI = 1.03 to 1.11) were associated with DF transmission. Poisson regression results indicated that changes in DF incidence rates were significantly associated with longitude (β = -5.08, P

Suggested Citation

  • Kangkang Liu & Yanshan Zhu & Yao Xia & Yingtao Zhang & Xiaodong Huang & Jiawei Huang & Enqiong Nie & Qinlong Jing & Guoling Wang & Zhicong Yang & Wenbiao Hu & Jiahai Lu, 2018. "Dynamic spatiotemporal analysis of indigenous dengue fever at street-level in Guangzhou city, China," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 12(3), pages 1-15, March.
    • Handle: RePEc:plo:pntd00:0006318
    DOI: 10.1371/journal.pntd.0006318
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    References listed on IDEAS

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    1. Kate E. Jones & Nikkita G. Patel & Marc A. Levy & Adam Storeygard & Deborah Balk & John L. Gittleman & Peter Daszak, 2008. "Global trends in emerging infectious diseases," Nature, Nature, vol. 451(7181), pages 990-993, February.
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    1. Renaud Marti & Zhichao Li & Thibault Catry & Emmanuel Roux & Morgan Mangeas & Pascal Handschumacher & Jean Gaudart & Annelise Tran & Laurent Demagistri & Jean-François Faure & José Joaquín Carvajal & , 2020. "A Mapping Review on Urban Landscape Factors of Dengue Retrieved from Earth Observation Data, GIS Techniques, and Survey Questionnaires," Post-Print hal-02682042, HAL.
    2. Jundi Liu & Yu Deng & Qinlong Jing & Xiashi Chen & Zhicheng Du & Tianzhu Liang & Zhicong Yang & Dingmei Zhang & Yuantao Hao, 2018. "Dengue Infection Spectrum in Guangzhou: A Cross-Sectional Seroepidemiology Study among Community Residents between 2013 and 2015," IJERPH, MDPI, vol. 15(6), pages 1-11, June.
    3. Syed Ali Asad Naqvi & Muhammad Sajjad & Liaqat Ali Waseem & Shoaib Khalid & Saima Shaikh & Syed Jamil Hasan Kazmi, 2021. "Integrating Spatial Modelling and Space–Time Pattern Mining Analytics for Vector Disease-Related Health Perspectives: A Case of Dengue Fever in Pakistan," IJERPH, MDPI, vol. 18(22), pages 1-30, November.

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