疾病控制和预防的有效策略:系统审查
Salman Daneshi1, Mehran Nikvarz2, Rasoul Raesi3,4
1Department of Public Health, School of Health, Jiroft University of Medical Sciences, Jiroft, Iran.
Infectious disorders drug targets
|August 24, 2025
概括
有效的疾病控制需要综合的公共卫生战略. 结合监测,疫苗接种,卫生和解决健康的社会决定因素 (SDOH),改善全球健康结果并减少差异.
科学领域:
- 公共卫生
- 流行病学
- 全球健康
背景情况:
- 全球公共卫生面临慢性疾病,传染病威胁和社会经济差异的挑战.
- 有效的疾病控制和预防对于人口的福祉至关重要.
- 这份综述汇总了改善全球疾病管理的策略.
研究的目的:
- 确定和综合有效控制和预防疾病的关键策略.
- 探索改善全球疾病管理结果的干预措施.
- 为公共卫生政策和实践提供信息.
主要方法:
- 使用关键词进行2001-2024年文献的系统审查:疾病管理,疾病预防,公共卫生战略,监测,疫苗接种,病媒控制和健康的社会决定因素 (SDOH).
- 在PubMed,Scopus,Web of Science和谷歌学者中进行搜索.
- 基于PRISMA声明和PICO框架的研究选择,包括22篇文章.
主要成果:
- 加强的监测系统可以改善疫情的检测和公共卫生响应.
- 疫苗接种策略,包括移动单位和宣传活动,增加了疫苗接种范围,特别是在服务不足的地区.
- 综合载体管理和WASH计划减少疾病传播;解决SDOH减少不平等; 一种健康方法有助于控制动物传播疾病.
结论:
- 结合流行病学工具,社区参与和政策改革的多方面的综合战略至关重要.
- 社会经济和环境因素对健康结果和干预成功产生重大影响.
- 优先考虑监测,疫苗接种,卫生,以公平为重点的政策和跨部门合作,增强全球卫生弹性.
相关概念视频
Levels of Health Promotion and Illness Prevention
13.3K
Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
In primary prevention, actions taken before disease onset prevent the disease from...
In primary prevention, actions taken before disease onset prevent the disease from...
13.3K
Healthcare Associated Infections II: Preventive Measures
2.8K
Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
2.8K
Principles of Disease Surveillance
180
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
180
Strategies for Assessing and Addressing Confounding
155
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
155
Preventive Healthcare Services
1.1K
Preventive healthcare services keep people healthy via frequent check-ups, screening, and counseling. They primarily aid in disease prevention rather than treating an acute or chronic illness. Preventive treatment also keeps individuals productive and energetic, allowing them to work well into their retirement years. Examples of preventive care services include:
1.1K
Bias in Epidemiological Studies
675
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
675


