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Disaster response knowledge and its social determinants: A cross-sectional study in Beijing, China

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  • Tongtong Li
  • Qi Wang
  • Zheng Xie

Abstract

Background: The purpose of this study is to identify the social factors that shape the disaster response knowledge of residents in Beijing, China. This study aims to provide evidence supporting the development and promotion of effective strategies for disaster response knowledge, including natural and human-made ones. Methods: A cross-sectional household survey on disaster response knowledge was conducted in Beijing, 2015. Using the multistage sampling method, data were collected from community residents through a self-administered questionnaire, and analyzed by descriptive methods and logistic regression models. Results: Among the 847 respondents, 44.2% had advanced disaster response knowledge in general, while only 9.4% knew how to react to human-made disasters, and 61.4% had advanced natural disaster response knowledge. Rural residents and those with higher education had more disaster response knowledge (P

Suggested Citation

  • Tongtong Li & Qi Wang & Zheng Xie, 2019. "Disaster response knowledge and its social determinants: A cross-sectional study in Beijing, China," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-10, March.
  • Handle: RePEc:plo:pone00:0214367
    DOI: 10.1371/journal.pone.0214367
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    References listed on IDEAS

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    1. Michael K. Lindell & Seong Nam Hwang, 2008. "Households' Perceived Personal Risk and Responses in a Multihazard Environment," Risk Analysis, John Wiley & Sons, vol. 28(2), pages 539-556, April.
    2. Tomoko Haraoka & Toshiyuki Ojima & Chiyoe Murata & Shinya Hayasaka, 2012. "Factors Influencing Collaborative Activities between Non-Professional Disaster Volunteers and Victims of Earthquake Disasters," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-8, October.
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    Cited by:

    1. Ali Hassan Gillani & Mohamed Izham Mohamed Ibrahim & Jamshaid Akbar & Yu Fang, 2020. "Evaluation of Disaster Medicine Preparedness among Healthcare Profession Students: A Cross-Sectional Study in Pakistan," IJERPH, MDPI, vol. 17(6), pages 1-14, March.
    2. Dedi I. Inan & Ghassan Beydoun & Siti Hajar Othman & Biswajeet Pradhan & Simon Opper, 2022. "Developing Reusable COVID-19 Disaster Management Plans Using Agent-Based Analysis," Sustainability, MDPI, vol. 14(12), pages 1-22, June.
    3. Dedi I. Inan & Ghassan Beydoun & Biswajeet Pradhan, 2022. "Disaster Management Knowledge Analysis Framework Validated," Information Systems Frontiers, Springer, vol. 24(6), pages 2077-2097, December.

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