Application of VPN Technique in the Construction of Public Health Information System

Summary： Data communication and sharing of five level network of Public Health Information System, i.e. nation, province, district （city）, county, and town, as far as to the countryside level were described, and how to apply the three solutions, i.e. Access VPN, Intranet VPN, and Extranet VPN of VPN technique to achieve the appropriation of the public network was also presented.

Civic and Social Applications to Support Public Policies on Health

The discussion with emphasis on social control is expressed in new guidelines for its effectiveness through normative instruments and the legal creation of institutional spaces that guarantee the participation of organized civil society in the direct supervision of the executive in the three spheres of government.Social participation for the strengthening of public health in Brazil has undergone complex processes of change,which have resulted in an increasingly qualified,deliberative,independent,and representative social control system.However,policy makers need to identify new technologies and carefully analyze their potential before they begin to exert their breaking power in the economy and society.Mobility and unlimited connectivity deserve special attention from the public power for the ability to achieve the digital inclusion of the citizen through smartphones.This requires a transformation of the governance structure into a platform that is based on the tripod transparency,participation,and collaboration,which relies on the Internet,social networks and connectivity.

Discussion on the Information Collection Methods of Public Health Emergency Files

In public health emergencies, the collection of archival information in the area of public health emergencies is very important, which can provide a reference for the early warning and processing mechanism. At the present stage, the unlimited demand of archival users for resources and the convenience of obtaining resources have become the two driving forces to promote the “transformation” and “growth” of archives. Public health emergencies, the transformation of archives collection and service mode, social media has become an indispensable platform for user information exchange, sharing and transmission, which requires archives to change the mode of archives acquisition and storage. Archival users require more interactive, targeted and cutting-edge forms of access and archival services are also developing toward diversified functions and connotations. Archival information resource sharing is also an important link in this development trend. This paper attempts to analyze the collection methods of archives departments in public health emergencies, and then puts forward the corresponding measures for archives departments to play their functions, such as flexibly solving the needs of archives access, strengthening the development of information resources, doing a good job in the collection of relevant archives, and publicizing archives work in combination with hot spots. This paper discusses the completeness of archival data collection, the means of archival management, the scientific classification of archival data, the ways of archival data collection and so on.

GPT Models Can Perform Thematic Analysis in Public Health Studies,Akin to Qualitative Researchers

Conducting thematic analysis in qualitative research can be laborious and time-consuming.We propose and evaluate the feasibility of using Generative Pre-trained Transformer(GPT)models to assist public health researchers in extracting themes from interview transcripts.Carefully engineered prompts were used to sequentially extract and synthesize transcripts into a concise set of study-level themes relevant to the study’s goals.An evaluation using a 5-point Likert scale(0−4)assessed GPTgenerated themes across 11 published studies based on four criteria:succinctness,alignment with researcher-identified themes,quality of explanations,and relevance of quotes.Across all four criteria,the scores averaged 3.05(95%Confidence Interval(CI):[2.93,3.16]).Our findings indicate that at least half of the GPT-generated themes align with those in published studies,exhibiting succinctness with minimal repetition,substantial depth of explanations,and relevant quotations.Despite these promising results,practices such as complementing outputs with field-specific knowledge are recommended.

Framework Construction and Application for Global Health Information Platform

In order to understand the global health related information rapidly and timely, a global health information platform based on big data from internet is constructed. In this paper, we introduce the framework and application of the global health information platform. The functions of information platform mainly include two aspects： to analyze and disseminate theoretical and technological progress of the main research fields in global health and to monitor real-time emergencies, epidemic situation and hot topics related to the field of global health. The objective of this research is to establish a Chinese-English bilingual information platform in the global health field. The platform would help academic researchers understand and master global health progress in time; acquire information of global health comprehensively, accurately and dynamically; and eventually help deal with the risk of global diseases, formulate appropriate health policies and actively participate in the international global health affairs.

Promising of spatial-temporal model in public health

Investigating the transmission of infectious diseases, predicting the epidemic trend of an infectious disease and evaluating the effects of control measures are the continuing subject of public health participators. In recent years the spatial-temporal model has been proposed as a powerful tool to get this information from large incomplete and insufficiently general monitoring data.

Connecting Information to Promote Public Health

With the development of information technology in the past 12 years,China has established the specialized or vertical web-based information systems for data collection of disease and related risk factor.These information systems are described as public health information systems(PHIS) in China.When PHIS has thus evolved in a haphazard and fragmented way under the pressure administrative,economic and legal,local health workers who are overburdened with multiple and timeconsuming reporting requirements cannot deliver timely,accurate and complete data.Seeing that the information of disease surveillance is provided by hospitals and health service centers in China and that the development of electronic medical record(EMR) and electronic health record(EHR) occurs under the policy and investment of health since 2009 in China,there should be a connection and data sharing mechanism between EMR(EHR) and PHIS to support public health surveillance and public health decision-making.The paper aims at discussing current status and problems of PHIS in China,making a brief introduction on the blueprint of health information technology in China,exploring solution for interoperability between PHIS and EHR(EMR),and sharing some experiences and lessons from pilot project on automatic notifiable infectious disease reporting.

A study on predicting crisis information dissemination in epidemic-level public health events

Crisis information dissemination plays a key role in the development of emergency responses to epidemic-level public health events.Therefore,clarifying the causes of crisis information dissemination and making accurate predictions to effectively control such situations have attracted extensive attention.Based on media richness theory and persuasion theory,this study constructs an index system of crisis information dissemination impact factors from two aspects:the crisis information publisher and the published crisis information content.A multi-layer perceptron is used to analyze the weight of the index system,and the prediction is transformed into a pattern classification problem to test crisis information dissemination.In this study,COVID-19 is considered a representative event.An experiment is conducted to predict the crisis information dissemination of COVID-19 in two megacities.Data related to COVID-19 from these two megacities are acquired from the well-known Chinese social media platform Weibo.The experimental results show that not only the identity but also the social influence of the information publisher has a significant impact on crisis information dissemination in epidemic-level public health events.Furthermore,the proposed model achieves more than 95%test accuracy,precision rate,recall value and f1-score in the prediction task.The study provides decision-making support for government departments and a guide for correctly disseminating crisis information and public opinion during future epidemic-level public health events.

The Role of Library and Information Science Education in the Development of Community Health Information Services for People Living with HIV/AIDS: Perspectives of Directors and Managers of Public Libraries

This article identifies the role of library and information science (LIS) education in the development of community health information services for people living with HIV/AIDS (PLWHA). Preliminary findings are presented from semi- structured qualitative interviews that were conducted with eleven directors and managers of local branches in the Knox County Public Library (KCPL) System that is located in the East Tennessee region in the United States. Select feedback reported by research participants is summarized in the article about strategies in LIS education that can help local public librarians and others in their efforts to become more responsive information providers to PLWHA. Research findings help better understand the issues and concerns regarding the development of digital and non-digital health information services for PLWHA in local public library institutions.

Focusing on individualized nutrition within the algorithmic diet: an in-depth look at recent advances in nutritional science, microbial diversity studies, and human health

A healthy balanced diet and a healthy lifestyle are very closely linked.Whichever the biological link is,it is overwhelming to understand.Modifications in how food is served,divided up,and supervised,such as the introduction of nutritional hygiene standards,food handling practices,and the entry of macro and micronutrients,have had a big impact on human health in the last few decades.Growing evidence indicates that our gut microbiota may affect our health in ways that are at least in part influenced by our diet and the ingredients used in the preparation of our food and drinks,as well as other factors.As a new problem,this one is getting a lot of attention,but it would be hard to figure out how the gut microbiota and nutrition molecules work together and how they work in certain situations.Genetic analysis,metagenomic characterization,configuration analysis of foodstuffs,and the shift to digital health information have provided massive amounts of data that might be useful in tackling this problem.Machine learning and deep learning methods will be employed extensively as part of this research in order to blend complicated data frames and extract crucial information that will be capable of exposing and grasping the incredibly delicate links that prevail between diet,gut microbiome,and overall wellbeing.Nutrition,well-being,and gut microorganisms are a few subjects covered in this field.It takes into account not only databases and high-speed technology,but also virtual machine problem-solving skills,intangible assets,and laws.This is how it works:Computer vision,data mining,and analytics are all discussed extensively in this study piece.We also point out limitations in existing methodologies and new situations that discovered in the context of current scientific knowledge in the decades to come.We also provide background on"bioinformatics"algorithms;recent developments may seem to herald a revolution in clinical research,pushing traditional techniques to the sidelines.Furthermore,their true potential rests in their ability to work in conjunction with,rather than as a substitute for,traditional research hypotheses and procedures.When new metadata propositions are made by focusing on easily understandable frameworks,they will always need to be rigorously validated and brought into question.Because of the huge datasets available,assumption analysis may be used to complement rather than a substitute for more conventional concept-driven scientific investigation.It is only by employing all of us that we will all increase the quality of evidence-based practice.

Performance Evaluation of Healthcare Monitoring System over Heterogeneous Wireless Networks

The wide diffusion of healthcare monitoring systems allows continuous patient to be remotely monitored and diagnosed by doctors. The problem of congestion, namely due to the uncontrolled increase of traffic with respect to the network capacity, is one of the most common phenomena affecting the reliability of transmission of information in any network. The aim of the paper is to build a realistic simulation environment for healthcare system including some of the main vital signs model, wireless sensor and mesh network protocols implementation. The simulator environment is an efficient mean to analyze and evaluate in a realistic scenario the healthcare system performance in terms of reliability and efficiency.

公共卫生应急监测预警平台的建设及应用分析

本文结合公共卫生应急监测预警平台建设的重要性与困境,分析公共卫生应急监测预警平台的关键技术及建设原则,如大数据处理技术应用,人工智能预警模型的构建,信息可视化界面设计。遵循坚持政府主导和社会参与,坚持以人为本和预防为主,坚持顶层设计和分步实施等原则,探讨公共卫生应急监测预警平台的应用措施,包含加强卫生应急质量控制体系建设,加强信息互联互通和数据共享,提升应急工作的移动处置能力和处理时效性等,旨在提升公共卫生应急监测能力。

大数据在医疗卫生中的应用前景浅析

大数据是现阶段医疗卫生领域信息技术发展的一个重要技术热点。大数据分析以及挖掘技术的运用能够极大程度上地提升医疗机构生产力,保障医疗服务水平,强化医院的核心竞争力,确保对各种医疗资源的充分利用。为此,文章首先对医疗大数据的几个特点进行了分析,同时,通过对大数据技术的应用分析,阐述了其在疾病预防、疾病诊疗、医药研发和评价、医疗科研研究等方面的有效应用。

公共卫生规范化管理在传染病预防中的应用价值分析

目的:分析公共卫生规范化管理在传染病预防中的应用价值。方法:选取2022年10月至2023年9月80名受检者,采用随机抽取分配的方式,将80名受检者分配到对照组与观察组平均每组40人,对照组采用一般管理措施,观察组则采用公共卫生规范化管理方式,观察两组受检者管理前后对传染病的认知度评分、预防能力评分、管理依从率、生活质量评分,对比两组数据差异分析出公共卫生规范化管理在传染病预防中的应用价值。结果:管理前受检者各项评分数据差异不具有统计学差异(P>0.05),管理后受检者对传染病的认知度评分、预防能力评分、管理依从度观察组均高于对照组,数据差异具有统计学意义(P<0.05)。结论:在传染病预防工作中融入公共卫生规范化管理可以更好地促进预防工作的顺利进行,这不仅可以提高公众对传染病的了解,还得到了公众的广泛认同,值得推广。

健康中国战略下公共卫生人才培养模式

党的二十大报告中提出,推进健康中国建设,把保障人民健康放在优先发展的战略地位,促进以疾病为中心到以人民健康为中心的转变,不断提高疾病防控能力,为新时代下公共卫生教育体系的发展指明方向。围绕“健康中国建设”的背景,立足于传统公共卫生人才培养模式和健康中国所需求的人才要求,深入分析和探讨其中存在的问题,从课程教育、实践教育,以及思政教育多个角度,提出对于高层次、应用型公共卫生人才培养的新思考。

公安机关适用行政强制措施冲突问题研究——以突发公共卫生事件为视角

在突发公共卫生事件中,公安机关办理行政案件会遇到行政强制措施之间、行政强制措施与行政拘留执行之间适用冲突的问题。对卫生行政强制措施与公安行政强制措施、行政拘留执行发生适用冲突等情形进行规范分析、实证分析,得出在突发公共卫生事件中卫生行政强制措施具有优先适用性的结论。根据适用冲突产生原因给出健全优化衔接机制、完善法律条款的建议,以期有效化解行政强制措施的适用冲突,推动公安机关健全执法办案程序,以法治方式应对突发公共卫生事件,完善公安机关治理体系,提升公安机关治理能力。

深化“理实一体化”实践教学 培养公共卫生人才应急处置能力

公共卫生应急处置能力是公共卫生人才核心岗位胜任力,是预防医学专业培养应用型公共卫生人才的重要环节。厦门医学院预防医学专业遵循“立德树人、医教协同、产教融合、应用为先”专业人才培养理念,通过创设应急现场教学环境,有效训练学生应急现场处置能力;重构公共卫生经典案例教学内容,激发学生学习兴趣和热情;创新“理实一体化”教学方法,培养学生公共卫生岗位适应能力;开展“健康中国”课程思政教育,培养学生肩负健康中国的使命感。该文探索并实践应用型公共卫生人才培养的实践教学创新,为我国培养适应社会发展和公共卫生事业需求的应用型公共卫生人才提供参考。

公共卫生管理中全科诊疗为服务主路径模式的应用研究

目的分析公共卫生管理中全科诊疗为服务主路径模式的应用效果。方法选取2022年1月—2023年12月济南市人民医院25名工作人员作为研究对象,其中2022年1—12月接受专科团队管理,在2023年1—12月接受全科诊疗管理,对两种管理模式进行评估。结果观察组诊疗仪器使用能力、诊疗专业技术能力、人际关系沟通和协调能力、工作环境适应能力评分均高于对照组,差异有统计学意义(P均<0.05);观察组诊疗工作质量(诊疗安全、诊疗操作、沟通能力、书写文书)评分均高于对照组,差异有统计学意义(P均<0.05);观察组管理满意度为96.00%(24/25),对照组管理满意度为76.00%(19/25),观察组管理满意度高于对照组,差异有统计学意义(χ^(2)=4.153,P=0.042)。结论在公共卫生管理中采用全科诊疗为服务主路径模式可以显著提高工作质量、技术能力、沟通协调能力以及疾病知识认知水平,为提升卫生服务质量和满意度提供了有力支持。

环境监测技术综合分析及发展策略探讨

环境监测在维护生态平衡、保障公共健康及推动可持续发展方面扮演着核心角色。其技术覆盖大气、水、土壤和噪声等多领域,至关重要。提升监测效能的关键在于加强科技创新、完善标准体系与加大监管力度。实现持续发展需要政府、企业与公众协同努力。通过合作与创新,能有效保护生态环境,达成可持续发展目标。

新型冠状病毒肺炎疫情发布中的公共卫生伦理考量

分析公共卫生实践中个人隐私泄露可能造成的问题,以上海市新型冠状病毒肺炎疫情信息发布为例,分析疫情发布中涉及病例信息时考虑公共卫生伦理原则而采取的具体方式,以及根据疫情的变化而不断调整工作方法的具体表现,体现上海在新型冠状病毒肺炎防控中为维护公共卫生伦理所作的努力。同时指出,疫情防控信息的公布应遵循公共卫生伦理原则,疫情防控信息的采集、传输与发布需要规制,而公共卫生相关人员的能力与素质也需要与时俱进。