China Safety Science Journal ›› 2023, Vol. 33 ›› Issue (1): 198-205.doi: 10.16265/j.cnki.issn1003-3033.2023.01.0137

• Emergency technology and management • Previous Articles     Next Articles

Study on site selection of emergency medical facilities for rural public health emergencies

AN Min1,2,3(), TENG Mingyue4, AN Hui4, YANG Wenjing4   

  1. 1 Hubei Provincial Key Laboratory of Hydropower Engineering Construction and Management, China Three Gorges University, Yichang Hubei 443002, China
    2 School of Economics and Management, China Three Gorges University, Yichang Hubei 443002, China
    3 Reservoir Resettlement Research Center, China Three Gorges University, Yichang Hubei 443002, China
    4 School of Water Conservancy and Environment, China Three Gorges University, Yichang Hubei 443002, China
  • Received:2022-09-15 Revised:2022-11-05 Online:2023-01-28 Published:2023-07-28

Abstract:

In order to improve the scientificity of site selection decision-making of emergency medical facilities for rural public health emergencies, based on the characteristics of public health emergencies with rapid spread and strong harmfulness of corona virus disease 2019(COVID-19), according to the design standards of emergency medical facilities, taking into account the characteristics of small rural medical budget and rugged emergency roads, firstly, six influencing factors of engineering geological conditions, unit cost, infection rate, arrival time, site scale and service coverage area of alternative sites of facilities were selected. The Entropy value method(EVM) method and analytic hierarchy process(AHP) method were effectively combined to determine the weight of influencing factors. Secondly,a multi-objective location model considering the minimum sum of the distance from patients to emergency medical facilities and the optimal comprehensive evaluation value of the selected emergency medical facilities was established. Then, an IPSO algorithm was designed to solve the model and get the location decision. Finally, some villages in Tianmen city were selected for empirical analysis to verify the effectiveness of the model algorithm. The results show that infection rate and unit cost are the main influencing factors for the construction of emergency medical facilities. IPSO algorithm selects three emergency medical facilities, which can meet the treatment needs of patients in eight villages, and ensure that patients can seek medical treatment within 4-7 minutes,providing guarantee for efficient epidemic prevention and control activities.

Key words: village, public health emergency, emergency medical facilities, multi-objective planning, improved particle swarm optimization(IPSO) algorithm