{"title":"农村公共卫生服务体系建设与传染病预防效果评价","authors":"Xiaofang Li","doi":"10.1016/j.amepre.2025.107900","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>To investigate pathways for public health service system development and assess epidemic prevention efficacy in rural areas, integrating dual perspectives of regional development and public health demands.</div></div><div><h3>Method</h3><div>A multidimensional evaluation framework covering 24 rural demonstration sites was established through integration of cross-sectional data and spatiotemporal panel data. The Analytic Hierarchy Process (AHP) was employed to determine health resource allocation priorities, while the Spatial Durbin Model was utilized to elucidate spatial correlation characteristics of disease transmission.</div></div><div><h3>Results</h3><div>A 10% enhancement in public health system completeness reduced incidence rates by 6.8-9.2% (95% CI: 5.4-11.3). Key driving factors included graded diagnosis and treatment coverage (β=0.412), digital surveillance response timeliness (β=0.357), and interdepartmental coordination efficiency (β=0.285). Spatial econometric analysis revealed that one standard deviation increase in medical accessibility decreased neighborhood incidence by 0.37 standard deviations (Moran’s I=0.216, p<0.05), with tourist flow threshold (>38,000 persons/month) demonstrating negative regulatory effects (γ=-0.154).</div></div><div><h3>Discussion</h3><div>This study proposes establishing early warning mechanisms and intelligent surveillance systems, coupled with dynamic health resource-regional demand alignment strategies, to effectively enhance rural public health resilience and develop replicable prevention models.</div></div>","PeriodicalId":50805,"journal":{"name":"American Journal of Preventive Medicine","volume":"69 2","pages":"Article 107900"},"PeriodicalIF":4.5000,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Construction of Rural Public Health Service Systems and Evaluation of Infectious Disease Prevention Effectiveness\",\"authors\":\"Xiaofang Li\",\"doi\":\"10.1016/j.amepre.2025.107900\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><div>To investigate pathways for public health service system development and assess epidemic prevention efficacy in rural areas, integrating dual perspectives of regional development and public health demands.</div></div><div><h3>Method</h3><div>A multidimensional evaluation framework covering 24 rural demonstration sites was established through integration of cross-sectional data and spatiotemporal panel data. The Analytic Hierarchy Process (AHP) was employed to determine health resource allocation priorities, while the Spatial Durbin Model was utilized to elucidate spatial correlation characteristics of disease transmission.</div></div><div><h3>Results</h3><div>A 10% enhancement in public health system completeness reduced incidence rates by 6.8-9.2% (95% CI: 5.4-11.3). Key driving factors included graded diagnosis and treatment coverage (β=0.412), digital surveillance response timeliness (β=0.357), and interdepartmental coordination efficiency (β=0.285). Spatial econometric analysis revealed that one standard deviation increase in medical accessibility decreased neighborhood incidence by 0.37 standard deviations (Moran’s I=0.216, p<0.05), with tourist flow threshold (>38,000 persons/month) demonstrating negative regulatory effects (γ=-0.154).</div></div><div><h3>Discussion</h3><div>This study proposes establishing early warning mechanisms and intelligent surveillance systems, coupled with dynamic health resource-regional demand alignment strategies, to effectively enhance rural public health resilience and develop replicable prevention models.</div></div>\",\"PeriodicalId\":50805,\"journal\":{\"name\":\"American Journal of Preventive Medicine\",\"volume\":\"69 2\",\"pages\":\"Article 107900\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Preventive Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0749379725003915\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Preventive Medicine","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0749379725003915","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Construction of Rural Public Health Service Systems and Evaluation of Infectious Disease Prevention Effectiveness
Introduction
To investigate pathways for public health service system development and assess epidemic prevention efficacy in rural areas, integrating dual perspectives of regional development and public health demands.
Method
A multidimensional evaluation framework covering 24 rural demonstration sites was established through integration of cross-sectional data and spatiotemporal panel data. The Analytic Hierarchy Process (AHP) was employed to determine health resource allocation priorities, while the Spatial Durbin Model was utilized to elucidate spatial correlation characteristics of disease transmission.
Results
A 10% enhancement in public health system completeness reduced incidence rates by 6.8-9.2% (95% CI: 5.4-11.3). Key driving factors included graded diagnosis and treatment coverage (β=0.412), digital surveillance response timeliness (β=0.357), and interdepartmental coordination efficiency (β=0.285). Spatial econometric analysis revealed that one standard deviation increase in medical accessibility decreased neighborhood incidence by 0.37 standard deviations (Moran’s I=0.216, p<0.05), with tourist flow threshold (>38,000 persons/month) demonstrating negative regulatory effects (γ=-0.154).
Discussion
This study proposes establishing early warning mechanisms and intelligent surveillance systems, coupled with dynamic health resource-regional demand alignment strategies, to effectively enhance rural public health resilience and develop replicable prevention models.
期刊介绍:
The American Journal of Preventive Medicine is the official journal of the American College of Preventive Medicine and the Association for Prevention Teaching and Research. It publishes articles in the areas of prevention research, teaching, practice and policy. Original research is published on interventions aimed at the prevention of chronic and acute disease and the promotion of individual and community health.
Of particular emphasis are papers that address the primary and secondary prevention of important clinical, behavioral and public health issues such as injury and violence, infectious disease, women''s health, smoking, sedentary behaviors and physical activity, nutrition, diabetes, obesity, and substance use disorders. Papers also address educational initiatives aimed at improving the ability of health professionals to provide effective clinical prevention and public health services. Papers on health services research pertinent to prevention and public health are also published. The journal also publishes official policy statements from the two co-sponsoring organizations, review articles, media reviews, and editorials. Finally, the journal periodically publishes supplements and special theme issues devoted to areas of current interest to the prevention community.