IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i6p1111-d149659.html
   My bibliography  Save this article

A Rapid Public Health Needs Assessment Framework for after Major Earthquakes Using High-Resolution Satellite Imagery

Author

Listed:
  • Jian Zhao

    (Chinese Center for Disease Control and Prevention, Beijing 102206, China)

  • Fan Ding

    (Chinese Center for Disease Control and Prevention, Beijing 102206, China)

  • Zhe Wang

    (Chinese Center for Disease Control and Prevention, Beijing 102206, China)

  • Jinghuan Ren

    (Chinese Center for Disease Control and Prevention, Beijing 102206, China)

  • Jing Zhao

    (Chinese Center for Disease Control and Prevention, Beijing 102206, China)

  • Yeping Wang

    (Chinese Center for Disease Control and Prevention, Beijing 102206, China)

  • Xuefeng Tang

    (Health and Family Planning Commission of Sichuan Province, Chengdu 610041, China)

  • Yong Wang

    (Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China)

  • Jianyi Yao

    (Chinese Center for Disease Control and Prevention, Beijing 102206, China)

  • Qun Li

    (Chinese Center for Disease Control and Prevention, Beijing 102206, China)

Abstract

Background : Earthquakes causing significant damage have occurred frequently in China, producing enormous health losses, damage to the environment and public health issues. Timely public health response is crucial to reduce mortality and morbidity and promote overall effectiveness of rescue efforts after a major earthquake. Methods : A rapid assessment framework was established based on GIS technology and high-resolution remote sensing images. A two-step casualties and injures estimation method was developed to evaluate health loss with great rapidity. Historical data and health resources information was reviewed to evaluate the damage condition of medical resources and public health issues. Results : The casualties and injures are estimated within a few hours after an earthquake. For the Wenchuan earthquake, which killed about 96,000 people and injured about 288,000, the estimation accuracy is about 77%. 242/294 (82.3%) of the medical existing institutions were severely damaged. About 40,000 tons of safe drinking water was needed every day to ensure basic living needs. The risk of water-borne and foodborne disease, respiratory and close contact transmission disease is high. For natural foci diseases, the high-risk area of schistosomiasis was mapped in Lushan County as an example. Finally, temporary settlements for victims of earthquake were mapped. Conclusions : High resolution Earth observation technology can provide a scientific basis for public health emergency management in the major disasters field, which will be of great significance in helping policy makers effectively improve health service ability and public health emergency management in prevention and control of infectious diseases and risk assessment.

Suggested Citation

  • Jian Zhao & Fan Ding & Zhe Wang & Jinghuan Ren & Jing Zhao & Yeping Wang & Xuefeng Tang & Yong Wang & Jianyi Yao & Qun Li, 2018. "A Rapid Public Health Needs Assessment Framework for after Major Earthquakes Using High-Resolution Satellite Imagery," IJERPH, MDPI, vol. 15(6), pages 1-18, May.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:6:p:1111-:d:149659
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/6/1111/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/15/6/1111/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tienan Feng & Zhonghua Hong & Hengjing Wu & Qiushi Fu & Chaoxin Wang & Chenghua Jiang & Xiaohua Tong, 2013. "Estimation of earthquake casualties using high-resolution remote sensing: a case study of Dujiangyan city in the May 2008 Wenchuan earthquake," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(3), pages 1577-1595, December.
    2. Logue, J.N., 1996. "Disasters, the environment, and public health: Improving our response," American Journal of Public Health, American Public Health Association, vol. 86(9), pages 1207-1210.
    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. Hengjie Zhang & Fang Wang & Huali Tang & Yucheng Dong, 2019. "An Optimization-Based Approach to Social Network Group Decision Making with an Application to Earthquake Shelter-Site Selection," IJERPH, MDPI, vol. 16(15), pages 1-16, July.

    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. Hamid Reza Ranjbar & Alireza A. Ardalan & Hamid Dehghani & Mohammad Reza Saradjian, 2018. "Using high-resolution satellite imagery to provide a relief priority map after earthquake," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(3), pages 1087-1113, February.
    2. Arman Nedjati & Bela Vizvari & Gokhan Izbirak, 2016. "Post-earthquake response by small UAV helicopters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1669-1688, February.
    3. Muhammet Gul & Ali Fuat Guneri, 2016. "An artificial neural network-based earthquake casualty estimation model for Istanbul city," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(3), pages 2163-2178, December.
    4. Jennifer A Horney & Gaston A Casillas & Erin Baker & Kahler W Stone & Katie R Kirsch & Krisa Camargo & Terry L Wade & Thomas J McDonald, 2018. "Comparing residential contamination in a Houston environmental justice neighborhood before and after Hurricane Harvey," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-16, February.
    5. Arman Nedjati & Bela Vizvari & Gokhan Izbirak, 2016. "Post-earthquake response by small UAV helicopters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1669-1688, February.

    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:6:p:1111-:d:149659. 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.