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相关概念视频

Primary Healthcare Services01:30

Primary Healthcare Services

1.9K
Primary care promotes wellness and prevents disease. This care includes health promotion, education, protection (such as immunizations), early disease screening, and environmental considerations. Settings providing this type of healthcare include physician offices, public health clinics, school nursing, and community health nursing.
In 1978, international leaders convened in Alma-Ata, Kazakhstan, for what would be a pivotal event in global health. The Alma-Ata Declaration was the first to call...
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Levels of Health Promotion and Illness Prevention01:26

Levels of Health Promotion and Illness Prevention

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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...
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Preventive Healthcare Services01:30

Preventive Healthcare Services

1.8K
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:
1.8K
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

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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...
439
Healthcare Agencies II01:17

Healthcare Agencies II

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There are various healthcare agencies in the United States—some of which are managed by religious institutions and others by different government branches.
Parish nursing is a growing specialty nursing profession that focuses on holistic healthcare, health promotion, and illness prevention. It blends professional nursing practice with a health ministry, focusing on health and healing within the context of a Christian community. Parish nurses serve as health educators, referral sources,...
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Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

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At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
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Determining Soil-transmitted Helminth Infection Status and Physical Fitness of School-aged Children
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公共卫生 公共卫生

Daniel A Nation1,2, Trevor Lohman1

  • 1Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.

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概括
此摘要是机器生成的。

研究人员可以使用全球阿尔茨海默病协会互动网络 (GAAIN) 来发现和分析阿尔茨海默病和相关疾病 (ADRD) 的纵向队列数据. 这加快了对ADRD的治疗目标和预防策略的识别.

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科学领域:

  • 神经科学是一个神经科学.
  • 数据科学数据科学数据科学
  • 药理学 药理学是指药理学的学科.

背景情况:

  • 纵向队列研究对于阿尔茨海默病和相关疾病 (ADRD) 的研究至关重要,为疾病机制和药物重新定位提供了洞察力.
  • 在ADRD研究中,确定和整合适合特定研究问题的队列数据仍然是一个重大挑战.

研究的目的:

  • 展示全球阿尔茨海默病协会互动网络 (GAAIN) 平台在ADRD研究中发现和分析纵向队列数据的实用性.
  • 展示GAAIN如何促进识别具有适当功率的样本,用于测试与ADRD预防和治疗相关的假设.

主要方法:

  • 利用GAAIN联合数据共享平台,这是阿尔茨海默病的第一个数据共享平台.
  • 使用GAAIN Interrogator工具进行远程数据聚合和在各种数据集 (生物标志物,临床,神经成像) 上进行探索性分析.
  • 使用GAAIN和相关资源展示了用于数据发现,查询和分析的端到端工作流.

主要成果:

  • 成功识别和分析了与ADRD相关的多个纵向队列研究的数据.
  • 展示了利用GAAIN的数据资源和分析工具确定合适的样本进行假设测试的过程.
  • 介绍了用于推进ADRD研究的数据查询和分析的实例.

结论:

  • GAAIN为ADRD研究人员提供了一个强大的,联合的平台,可以访问和分析各种纵向数据.
  • 展示的工作流程突出了GAAIN通过促进数据利用来加速ADRD研究的潜力.
  • 鼓励ADRD调查人员采用GAAIN促进的工作流程,以提高研究效率和发现.