Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

2.0K
A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
2.0K
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

1.6K
The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...
1.6K
Lifestyle Factors and Health01:20

Lifestyle Factors and Health

45
Lifestyle factors play a critical role in maintaining overall health and preventing chronic diseases. Key elements, such as regular physical activity, a nutritious diet, and abstinence from smoking, can significantly enhance physical, mental, and emotional well-being while reducing the risk of several life-threatening conditions.
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...
45
Dimensions of Health and Illness01:21

Dimensions of Health and Illness

7.3K
The factors influencing the health-illness continuum can be internal or external and may or may not be under conscious control. They are related to the following eight human dimensions, and each dimension is interrelated to one other.
7.3K
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

27
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
27
Modeling in Therapy01:26

Modeling in Therapy

71
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
71

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Listening to the Fields: Using Patient Satisfaction Data and Needs Assessment to Improve Rural Clinical Care for Agricultural and Meat Processing Workers in the Midwest.

Journal of health care for the poor and underserved·2026
Same author

Within-host pathogen population diversity predicts treatment response in Tuberculosis.

medRxiv : the preprint server for health sciences·2026
Same author

Variation in Telehealth Use in a National Home Test-to-Treat Program for Acute Respiratory Infections.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association·2026
Same author

Variation in Telehealth Use in a National Home Test-to-Treat Program for Acute Respiratory Infections.

medRxiv : the preprint server for health sciences·2026
Same author

Associations of centrally acting analgesic use with total joint arthroplasty compared to selective serotonin reuptake inhibitor among osteoarthritis patients in a large prospective cohort.

BMC medicine·2026
Same author

Convolutional neural networks quantify antibiotic resistance in Mycobacterium tuberculosis with diagnostic grade accuracy and predict treatment response.

Nature communications·2026

相关实验视频

Updated: Jun 28, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.5K

使用邮政编码空间邻里模式建模健康和福祉措施.

Abhi Jain1, Michael LaValley1, Kimberly Dukes2

  • 1Department of Biostatistics, Boston University School of Public Health, Boston, 02118, USA.

Scientific reports
|April 22, 2024
PubMed
概括

本研究引入了一个统计模型,以在邮政编码表格区域 (ZCTA) 层面上对社区福祉进行排名. 该方法使用人口统计数据和空间关系来提供细致的健康见解.

更多相关视频

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.2K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.6K

相关实验视频

Last Updated: Jun 28, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.5K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.2K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.6K

科学领域:

  • 公共卫生 公共卫生
  • 空间统计的空间统计.
  • 医疗信息学 医疗信息学

背景情况:

  • 个人健康评估为社区的福祉和风险评估提供了信息.
  • 大型地理单元显示出显著的内部变化,需要进行细分分析.
  • 邮政编码表格区 (ZCTAs) 提供了更详细的福利评估水平.

研究的目的:

  • 开发一个基于空间的统计模型,用于生成ZCTA水平的幸福度排名.
  • 通过多个维度 (物理,财务,社会,社区,目的) 分析个人幸福感数据.
  • 将 ZCTA 的邻里信息纳入,以提高空间效应估计.

主要方法:

  • 个人幸福指数和子尺度得分的回归建模.
  • 包括个人人口特征作为预测因素.
  • 使用图形拉普拉斯矩阵来整合ZCTA邻近信息和空间效应.
  • 该模型应用于来自马萨诸塞州和乔治亚州的福利数据.

主要成果:

  • 该模型有效地捕捉了人口统计学对幸福感的影响.
  • 对所有ZCTA产生空间效应估计,包括那些没有直接观测的地区.
  • 该模型提供ZCTA级社区健康和福祉排名.

结论:

  • 基于空间的统计建模可以在ZCTA层面提供细分的福祉排名.
  • 该方法允许从邻近的ZCTA借用信息来改进估计.
  • 这种方法可用于模拟不同地区的其他空间依赖结果.