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ORIGINAL RESEARCH article

Front. Public Health
Sec. Public Health Policy
Volume 12 - 2024 | doi: 10.3389/fpubh.2024.1474776

Research on the Innovation of Early Warning Mechanism of Major Public Health Emergencies for Poverty Alleviation and Marginal Populations: A Case Study of Fujian Province

Provisionally accepted
Haitang Huang Haitang Huang 1*Jianlun Teng Jianlun Teng 2*Qingshui Li Qingshui Li 1*
  • 1 Sanming University, Sanming, China
  • 2 Guangxi University of Finance and Economics, Guanxi, China

The final, formatted version of the article will be published soon.

    Poverty alleviation is critical for sustainable development. Constructing a major public health emergency warning and prevention mechanism for poverty alleviation and marginalized populations can effectively determine the overall risk situation and main risk components in different regions. It is conducive to formulating specific policies for risk prevention and control of public health emergencies to prevent the occurrence of poverty relapse. First，by analyzing the difficulties faced by poverty alleviation and marginalized populations in major public health emergencies, and selecting a risk set, expert evaluation method is used to grade their risk impact and risk probability. Second, combined with the Borda ordinal value method to rank the importance of risk factors, a judgment matrix is constructed. Third, the Analytic Hierarchy Process method is used to determine the weight of the risk module. And the impact risk of major health emergencies on poverty alleviation and marginalized populations is comprehensively evaluated based on the quantified value of the risk impact level. Finally, some poverty alleviation and marginalized populations in Fujian Province were selected as samples for empirical analysis to illustrate the risk warning assessment model.

    Keywords: Early warning mechanism, Major public health emergencies, Poverty Alleviation and Marginal Populations, Risk matrix, Risk prevention and control

    Received: 02 Aug 2024; Accepted: 25 Nov 2024.

    Copyright: © 2024 Huang, Teng and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Haitang Huang, Sanming University, Sanming, China
    Jianlun Teng, Guangxi University of Finance and Economics, Guanxi, China
    Qingshui Li, Sanming University, Sanming, China

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