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【Objective】 To establish the quantitative classification model of blood inventory warning for public health emergencies, so as to provide reference for practical application. 【Methods】 The classification model of blood inventory early warning for public health emergencies was constructed through literature review, fuzzy comprehensive evaluation method and analytic hierarchy process (AHP). The constructed model was used to conduct fuzzy comprehensive evaluation on the data of day 10 before, day 1/5/40 after the launch of Level I public health event response in Deyang Central Blood Station in 2020 and calculate the warning level. 【Results】 The warning levels of day 10 before, and day 1/5/40 after the response were blue, orange, red and blue, respectively, which were consistent with the actual situation of Deyang performing Level I public health event response at that time. 【Conclusion】 It is feasible to use fuzzy comprehensive evaluation method to build the blood inventory warning classification model in public health emergency, which provides theoretical reference for practical application.
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Objective To explore an objective evaluation model for the elderly extremity muscle strength. Methods Evaluation index system of extremity muscle strength was established by analyzing the structure and movement mechanism of the limbs of the elderly,and an evaluation model of extremity muscle strength of the elderly based on entropy weight-fuzzy comprehensive evaluation was proposed.More-over,the muscle strength data of the elderly are collected by the hand-held dynamometry MicroFet3.Results The entropy weight method was used to obtain the objective weight of each index,and the disadvantages of the given weight by the expert in the fuzzy comprehensive evaluation method were eliminated, which could effectively assist the doctor to give the correct evaluation. Conclusion Actual examples showed that the proposed evaluation model is effective and objective,which helps to overcome the subjectivity of manual muscle testing to achieve the rehabilitation treatment and classification management of the elderly.A new idea is put forward to evaluate the strength of the ex-tremity in the elderly.
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Objective To evaluate sanitary quality of drinking water of small centralized water supply in rural areas using fuzzy comprehensive evaluation method.Methods Fifteen rural small centralized water supply facilities in Jinhua City were randomly selected.The health -related indicators were detected,and fuzzy comprehensive evaluation was used to evaluate the test results.Results The qualification rate of fifteen rural small centralized water supply facilities detected was 6. 67%.The qualified rate of the heat-resistant coliform bacteria in all items was 26. 67%,and the qualified rate of total coliforms was 6. 67%.The qualified rate of total numbers of colony,fluorid,chloride,sulfate,total dissolved solids, iron,oxygen consumption,total hardness and nitrate was all 1 00%.Sanitary quality of the water supply facilities was judged by the fuzzy membership evaluation.There were 4 water supply facilities evaluated as level Ⅰ(good),level Ⅱ(qualified ) and level Ⅳ (bad ) respectivley,and 3 water supply facilities evaluated as level Ⅲ (poor ).Fuzzy comprehensive index of sanitary quality was less than 0. 5 .Conclusion There is a risk of security in rural small centralized water supply water of Jinhua City.The low qualified rate of rural small centralized water supply water was due to heat-resistant coliform bacteria and total coliforms.The relevant departments should strengthen the hygiene management. Disinfection equipment should be installed,and standardized disinfection should be promoted to improve water quality.
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Objective To use fuzzy comprehensive evaluation method for rationally evaluating the performance of military hospitals. Methods The performance of a military hospital (2009-2011) was evaluated from the following four domains: patient, finance, internal flow, and learning and growth. Multi-layer fuzzy comprehensive evaluation method was used to obtain the fuzzy membership of all the domains of the subjects, and the evaluation results were subjected to corresponding analysis. Results It was found that the total proportion of "good" and "comparatively good" performance was 76.85% for a military hospital in 2009-2011. The overall performance degree of the hospital was "good" according to the maximal fuzzy membership principle. And corresponding analysis showed that the result was "moderate" for the financial domain, "poor" or "comparatively poor" for the patient domain, "good" for the internal flow domain, and "good" or "comparatively good" for the learning and growth domain. Conclusion Multi-layer fuzzy comprehensive evaluation method can properly handle the problem of multiple parameter integration in a system, and corresponding analysis makes the evaluation results more rational and more objective.