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作 者:张雪 胡志[1,2,6] 陈任 李程跃[3,6] 张政 虞颖映[4,6] 施培武 于明珠 郝模[3,6] ZHANG Xue;HUZhi;CHEN Ren;LI Chengyue;ZHANG Zheng;YU Yingying;SHI Peiwu;YU Mingzhu;HAO Mo(School of Health Management,Anhui Medical University,Hefei,Anhui 230032,China;Anhui Health Development Strategy Research Center,Hefei,Anhui 230032,China;Research Institute of Health Development Strategies,Fudan University,Shanghai 200032,China;Zhejiang Academy of Medical Sciences,Hangzhou,Zhejiang 310000,China;Disease Control and Prevention Branch of China Association for Health Promotion and Education,Shanghai 201821,China;Collaboralive Innovation Center for Early Warning of Major Health-related Social Risks,Shanghai 200032,China)
机构地区:[1]安徽医科大学卫生管理学院,安徽合肥230032 [2]安徽省健康发展战略研究中心,安徽合肥230032 [3]复旦大学卫生发展战略研究中心,上海200032 [4]浙江省医学科学院,浙江杭州310000 [5]中国健康促进与教育协会疾病预防控制分会,上海201821 [6]健康相关重大社会风险预警协同创新中心,上海200032
出 处:《中国农村卫生事业管理》2020年第8期589-593,共5页Chinese Rural Health Service Administration
基 金:上海市加强公共卫生体系建设三年行动计划(2015-2017年)项目“上海现代化国际大都市公共卫生绩效体系构建”(GWIV-32)。
摘 要:目的分析比较浙沪两地传染病根据公众需要动态调整的程度及差异,探索量化传染病动态调整程度的可行性。方法系统收集涉及浙沪两地关于传染病目标设置、敏感指标变化等公开发布的信息,量化计算动态程度;运用Spearman相关、线性回归分析关注传染病动态调整程度与甲、乙类传染病发病之间的关系。结果浙江传染病根据公众需要动态调整程度从2000年3.9%上升到2017年的36.9%,上海从2000年的0%上升到17.9%;浙沪两地的动态调整程度与甲、乙类传染病发病率呈负相关,对传染病发病的解释程度分别为44.7%和54.9%。结论浙沪两地根据传染病公众需要动态调整的程度有差异,浙江动态调整程度较高;及时进行目标设置、更新发布疾病敏感指标信息是把握人群健康需要水平的前提;量化一个国家(或地区)衡量传染病动态调整程度的方法是科学可行的,可应用于其他公共卫生领域和地区。Objective To analyze and compare the degree and difference of dynamic adjustment of infectious diseases according to public needs between Zhejiang and Shanghai, and to explore the feasibility of quantifying the degree of dynamic adjustment of infectious diseases. Methods Systematically collect information about target setting of infectious diseases and changes of sensitive indicators published in Zhejiang and Shanghai, quantify the dynamic degree, and use Spearman correlation and linear regression analysis to focus on the relationship between the dynamic adjustment degree of infectious diseases and the incidence of Class A and B infectious diseases. Results The dynamic adjustment degree of infectious diseases in Zhejiang increased from 3.9% in 2000 to 36.9% in 2017 and from 0 in 2000 to 17.9% in Shanghai. The dynamic adjustment degree of infectious diseases in Zhejiang and Shanghai was negatively correlated with the incidence of class A and B infectious diseases, and the explanation degree of infectious diseases was 44.7% and 54.9%, respectively. Conclusion There are differences between Zhejiang and Shanghai in the degree of dynamic adjustment according to the public needs of infectious diseases. Zhejiang has a higher degree of dynamic adjustment. Timely setting targets and updating and publishing disease sensitive index information are prerequisites for grasping the level of health needs of the population;Quantifying the method of measuring the dynamic adjustment degree of infectious diseases in a country(or region) It is scientific and feasible and can be applied to other public health fields and regions.
分 类 号:R183[医药卫生—流行病学] R19[医药卫生—公共卫生与预防医学]
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