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Notifiable Respiratory Infectious Diseases in China: A Spatial–Temporal Epidemiology Analysis

Author

Listed:
  • Ying Mao

    (School of Public Policy and Administration, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China
    Research Center for the Belt and Road Health Policy and Health Technology Assessment, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China)

  • Rongxin He

    (School of Public Policy and Administration, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China
    Research Center for the Belt and Road Health Policy and Health Technology Assessment, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China)

  • Bin Zhu

    (School of Public Policy and Administration, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China
    Research Center for the Belt and Road Health Policy and Health Technology Assessment, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China
    Department of Public Policy, City University of Hong Kong, Hong Kong 999077, China)

  • Jinlin Liu

    (School of Public Policy and Administration, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China
    Research Center for the Belt and Road Health Policy and Health Technology Assessment, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China
    Walter H. Shorenstein Asia-Pacific Research Center, Stanford University, Stanford, CA 94305, USA)

  • Ning Zhang

    (School of Public Policy and Administration, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China
    Research Center for the Belt and Road Health Policy and Health Technology Assessment, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China)

Abstract

Nowadays, tuberculosis, scarlet fever, measles, influenza, and mumps are five major notifiable respiratory infectious diseases (RIDs) in China. The objective of this study was to describe, visualize, and compare the spatial-temporal distributions of these five RIDs from 2006 to 2016. In addition to descriptive epidemiology analysis, seasonality and spatial autocorrelation analysis were also applied to explore the epidemiologic trends and spatial changing patterns of the five RIDs, respectively. The results indicated that the incidence of tuberculosis, measles, and mumps presented a downtrend trend, while those of scarlet fever and influenza was in a strong uptrend across the research period. The incidences of the five diseases all peaked in spring. There were significant spatial disparities in the distribution of tuberculosis, scarlet fever, and measles cases, with the hotspots mainly located in the western plateau region, northern plain region, and southern mountainous region. To conclude, notable epidemiological differences were observed across regions, indicating that some provincial units should pay more attention to prevent and control respiratory infectious diseases.

Suggested Citation

  • Ying Mao & Rongxin He & Bin Zhu & Jinlin Liu & Ning Zhang, 2020. "Notifiable Respiratory Infectious Diseases in China: A Spatial–Temporal Epidemiology Analysis," IJERPH, MDPI, vol. 17(7), pages 1-15, March.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:7:p:2301-:d:338518
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    References listed on IDEAS

    as
    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. Bin Zhu & Yang Fu & Jinlin Liu & Ying Mao, 2017. "Notifiable Sexually Transmitted Infections in China: Epidemiologic Trends and Spatial Changing Patterns," Sustainability, MDPI, vol. 9(10), pages 1-16, October.
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    4. Li, C. & Sun, M. & Wang, Y. & Luo, L. & Yu, M. & Zhang, Y. & Wang, H. & Shi, P. & Chen, Z. & Wang, J. & Lu, Y. & Li, Q. & Wang, X. & Bi, Z. & Fan, M. & Fu, L. & Yu, J. & Hao, M., 2016. "The centers for disease control and prevention system in China: Trends from 2002-2012," American Journal of Public Health, American Public Health Association, vol. 106(12), pages 2093-2102.
    5. Kai Cao & Kun Yang & Chao Wang & Jin Guo & Lixin Tao & Qingrong Liu & Mahara Gehendra & Yingjie Zhang & Xiuhua Guo, 2016. "Spatial-Temporal Epidemiology of Tuberculosis in Mainland China: An Analysis Based on Bayesian Theory," IJERPH, MDPI, vol. 13(5), pages 1-8, May.
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    Cited by:

    1. Zhijuan Song & Xiaocan Jia & Junzhe Bao & Yongli Yang & Huili Zhu & Xuezhong Shi, 2021. "Spatio-Temporal Analysis of Influenza-Like Illness and Prediction of Incidence in High-Risk Regions in the United States from 2011 to 2020," IJERPH, MDPI, vol. 18(13), pages 1-14, July.
    2. Qingyun Tang & Ke Gong & Li Xiong & Yuanxiang Dong & Wei Xu, 2022. "Can El Niño–Southern Oscillation Increase Respiratory Infectious Diseases in China? An Empirical Study of 31 Provinces," IJERPH, MDPI, vol. 19(5), pages 1-17, March.
    3. Li Wen & Danling Yang & Yanning Li & Dongjia Lu & Haixia Su & Mengying Tang & Xiaokun Song, 2022. "Spatial Effect of Ecological Environmental Factors on Mumps in China during 2014–2018," IJERPH, MDPI, vol. 19(23), pages 1-16, November.
    4. Lele Deng & Yajun Han & Jinlong Wang & Haican Liu & Guilian Li & Dayan Wang & Guangxue He, 2023. "Epidemiological Characteristics of Notifiable Respiratory Infectious Diseases in Mainland China from 2010 to 2018," IJERPH, MDPI, vol. 20(5), pages 1-16, February.

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