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Comprehensive Dynamic Influence of Multiple Meteorological Factors on the Detection Rate of Bacterial Foodborne Diseases under Spatio-Temporal Heterogeneity

Author

Listed:
  • Xiaojuan Qi

    (Department of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China)

  • Jingxian Guo

    (Zhejiang Key Laboratory of Urban Wetlands and Regional Change, Hangzhou Normal University, Hangzhou 311121, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Shenjun Yao

    (Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China)

  • Ting Liu

    (Zhejiang Key Laboratory of Urban Wetlands and Regional Change, Hangzhou Normal University, Hangzhou 311121, China)

  • Hao Hou

    (Zhejiang Key Laboratory of Urban Wetlands and Regional Change, Hangzhou Normal University, Hangzhou 311121, China)

  • Huan Ren

    (Zhejiang Key Laboratory of Urban Wetlands and Regional Change, Hangzhou Normal University, Hangzhou 311121, China
    College of Resources, Environment and Tourism, Capital Normal University, Beijing 100048, China)

Abstract

Foodborne diseases are a critical public health problem worldwide and significantly impact human health, economic losses, and social dynamics. Understanding the dynamic relationship between the detection rate of bacterial foodborne diseases and a variety of meteorological factors is crucial for predicting outbreaks of bacterial foodborne diseases. This study analyzed the spatio-temporal patterns of vibriosis in Zhejiang Province from 2014 to 2018 at regional and weekly scales, investigating the dynamic effects of various meteorological factors. Vibriosis had a significant temporal and spatial pattern of aggregation, and a high incidence period occurred in the summer seasons from June to August. The detection rate of Vibrio parahaemolyticus in foodborne diseases was relatively high in the eastern coastal areas and northwestern Zhejiang Plain. Meteorological factors had lagging effects on the detection rate of V. parahaemolyticus (3 weeks for temperature, 8 weeks for relative humidity, 8 weeks for precipitation, and 2 weeks for sunlight hours), and the lag period varied in different spatial agglomeration regions. Therefore, disease control departments should launch vibriosis prevention and response programs that are two to eight weeks in advance of the current climate characteristics at different spatio-temporal clustering regions.

Suggested Citation

  • Xiaojuan Qi & Jingxian Guo & Shenjun Yao & Ting Liu & Hao Hou & Huan Ren, 2023. "Comprehensive Dynamic Influence of Multiple Meteorological Factors on the Detection Rate of Bacterial Foodborne Diseases under Spatio-Temporal Heterogeneity," IJERPH, MDPI, vol. 20(5), pages 1-17, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4321-:d:1083361
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    References listed on IDEAS

    as
    1. Buzby, Jean C. & Roberts, Tanya & Lin, Chung-Tung Jordan & MacDonald, James M., 1996. "Bacterial Foodborne Disease: Medical Costs and Productivity Losses," Agricultural Economic Reports 33991, United States Department of Agriculture, Economic Research Service.
    2. Craig Baker-Austin & Joaquin A. Trinanes & Nick G. H. Taylor & Rachel Hartnell & Anja Siitonen & Jaime Martinez-Urtaza, 2016. "Correction: Corrigendum: Emerging Vibrio risk at high latitudes in response to ocean warming," Nature Climate Change, Nature, vol. 6(8), pages 802-802, August.
    3. Lan Huang & Martin Kulldorff & David Gregorio, 2007. "A Spatial Scan Statistic for Survival Data," Biometrics, The International Biometric Society, vol. 63(1), pages 109-118, March.
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