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相关概念视频

Naturalistic Observations02:30

Naturalistic Observations

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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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Data Collection by Observations01:08

Data Collection by Observations

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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
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Observational Studies01:11

Observational Studies

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Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
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Time-Series Graph00:54

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A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
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Data Reporting and Recording01:24

Data Reporting and Recording

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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Updated: May 27, 2025

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
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时间序列监视和干预的二进制原型.

Jason Olejarz1, Till Hoffmann2, Alex Zapf3

  • 1Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.

medRxiv : the preprint server for health sciences
|February 20, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的公共卫生监测模型,通过平衡行动和监测成本来指导及时干预. 它有助于设计有效的监控系统,当成本是中间的.

关键词:
异常检测检测异常检测进行成本效益分析.医疗保健 医疗保健 医疗保健 医疗保健传染病 传染病 传染病优化优化 优化优化质量控制 质量控制

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

  • 公共卫生监测系统 公共卫生监测系统
  • 时间序列异常检测时间序列异常检测
  • 公共卫生中的决策理论

背景情况:

  • 现有的关于从监控数据中早期检测异常的研究缺乏系统的行动框架.
  • 在公共卫生监测中发现异常后采取行动的决策过程中存在关键差距.

研究的目的:

  • 开发一个系统的框架,对来自时间序列监控数据的信号采取行动.
  • 制定一个平衡监测和干预成本的模型,以实现最佳的公共卫生决策.

主要方法:

  • 用二进制系统状态,观察数据和决策规则构建一个隐藏的马尔科夫式模型.
  • 在异常的系统状态下对不采取行动的延迟成本与采取行动的直接成本的分析.
  • 基于成本参数,评估监控有利的条件的数学框架.

主要成果:

  • 如果行动成本过高 (导致没有干预) 或过低 (导致持续干预),监督是有害的.
  • 只有当行动成本中等,监督成本足够低时,监督才是有益的.
  • 该模型提供了方程,以评估各种场景的适用性,并在监测时分类干预策略.

结论:

  • 开发的模型为设计有效的现实世界公共卫生监测系统提供了一个概念基础.
  • 它澄清了监督是有益的条件,并指导了干预策略的方法分类.
  • 这一框架对于优化资源分配和应对公共卫生紧急情况至关重要.