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

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

153
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:
153
Causality in Epidemiology01:21

Causality in Epidemiology

486
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
486
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
Introduction to Epidemiology01:26

Introduction to Epidemiology

792
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
792
Infection01:20

Infection

8.2K
When a pathogen enters the body and reproduces, it can cause an infection, damage body cells, and cause illness symptoms that eventually lead to disease. Therefore, its prevention requires breaking the chain of infection.
The chain begins with pathogens: bacteria, viruses, fungi, prions, or parasites such as protozoa helminths. These can be present on the skin as transient or resident flora, or they can be acquired from the environment. Identifying and treating the type of infection and...
8.2K
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

125
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...
125

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

Assessing human judgment forecasts in the rapid spread of the mpox outbreak: insights and challenges for pandemic preparedness.

BMC infectious diseases·2026
Same author

Estimating time-varying cholera transmission and oral cholera vaccine effectiveness in Haiti and Cameroon, 2021-2023.

BMJ open·2026
Same author

Cultural evolution of beauty standards.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Will the USA lose its measles elimination status?

Lancet (London, England)·2026
Same author

A Cross-Sectional Study on the Role of Biochemical Markers in Cardiovascular Disease Risk Assessment: Comparison of Urban and Rural Populations in Pakistan.

Health science reports·2026
Same author

Ligand-Tuned Mn(I) Complexes with Oxazole, Thiazole, and Selenazole Scaffolds: Synthesis and Mechanistic Insights into Light-Driven CO Release.

Inorganic chemistry·2026

相关实验视频

Updated: Jul 24, 2025

Multi-target Parallel Processing Approach for Gene-to-structure Determination of the Influenza Polymerase PB2 Subunit
22:10

Multi-target Parallel Processing Approach for Gene-to-structure Determination of the Influenza Polymerase PB2 Subunit

Published on: June 28, 2013

13.3K

多次干预爆发的流行病模型

Kathryn L Schaber1,2, Sagar Kumar3, Baker Lubwama4

  • 1Boston Children's Hospital, Boston, MA, US.

medRxiv : the preprint server for health sciences
|July 10, 2023
PubMed
概括
此摘要是机器生成的。

数学建模有助于预测传染病的传播,但现实世界的数据带来了挑战. 我们的框架使用了乌干达的埃博拉病毒,通过计算未知的开始日期和干预效应来改进模型以获得更好的准确性.

更多相关视频

A Mouse Model for the Transition of Streptococcus pneumoniae from Colonizer to Pathogen upon Viral Co-Infection Recapitulates Age-Exacerbated Illness
12:21

A Mouse Model for the Transition of Streptococcus pneumoniae from Colonizer to Pathogen upon Viral Co-Infection Recapitulates Age-Exacerbated Illness

Published on: September 28, 2022

2.5K
An Experimental Model to Study Tuberculosis-Malaria Coinfection upon Natural Transmission of Mycobacterium tuberculosis and Plasmodium berghei
09:02

An Experimental Model to Study Tuberculosis-Malaria Coinfection upon Natural Transmission of Mycobacterium tuberculosis and Plasmodium berghei

Published on: February 17, 2014

19.9K

相关实验视频

Last Updated: Jul 24, 2025

Multi-target Parallel Processing Approach for Gene-to-structure Determination of the Influenza Polymerase PB2 Subunit
22:10

Multi-target Parallel Processing Approach for Gene-to-structure Determination of the Influenza Polymerase PB2 Subunit

Published on: June 28, 2013

13.3K
A Mouse Model for the Transition of Streptococcus pneumoniae from Colonizer to Pathogen upon Viral Co-Infection Recapitulates Age-Exacerbated Illness
12:21

A Mouse Model for the Transition of Streptococcus pneumoniae from Colonizer to Pathogen upon Viral Co-Infection Recapitulates Age-Exacerbated Illness

Published on: September 28, 2022

2.5K
An Experimental Model to Study Tuberculosis-Malaria Coinfection upon Natural Transmission of Mycobacterium tuberculosis and Plasmodium berghei
09:02

An Experimental Model to Study Tuberculosis-Malaria Coinfection upon Natural Transmission of Mycobacterium tuberculosis and Plasmodium berghei

Published on: February 17, 2014

19.9K

科学领域:

  • 流行病学 流行病学
  • 数学建模的数学建模
  • 公共卫生 公共卫生

背景情况:

  • 传染病爆发模型对于预测传播和估计关键参数,如基本繁殖数 () 是至关重要的.
  • 早期疫情建模的挑战包括未知的首例病例日期,回顾性数据,不断变化的病例死亡率动态以及控制措施的复杂影响.

研究的目的:

  • 开发和介绍一个建模框架,以应对传染病爆发分析中的共同挑战.
  • 用案例研究评估特定挑战对模型参数估计的影响.

主要方法:

  • 作为一个案例研究,利用了来自乌干达苏丹埃博拉病毒爆发的几乎每日数据.
  • 开发了一个建模框架,将未知的疫情开始日期,多重死亡率和时间变化的干预效应等因素纳入其中.
  • 在不同的假设下比较模型匹配和参数估计,以评估每个挑战的影响.

主要成果:

  • 允许多个死亡率的模型与单一率的模型相比,显示出更好的匹配率.
  • 一个未知的疫情开始日期显著影响了参数估计,特别是在早期阶段.
  • 在使用完整的疫情数据时,将干预措施对传播的衰减效应纳入的模型提供了更准确的基本繁殖数 () 估计.

结论:

  • 拟议的框架通过解决关键的现实世界数据复杂性,提高了传染病建模的可靠性.
  • 即使在考虑整个疫情持续时间和干预效应时,即使有数据限制,也可以准确估计基本繁殖数 ().