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

Causality in Epidemiology01:21

Causality in Epidemiology

1.5K
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...
1.5K
Pareto Chart00:52

Pareto Chart

7.6K
A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
7.6K
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

885
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
885
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

472
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:
472
Pie Chart01:04

Pie Chart

15.8K
A pie chart (or a pie graph) is a circular graphical chart or a pictorial representation of categorical data. It is divided into slices of pie each indicating numerical proportions. It is also used to show the relative sizes of data in a single chart.
In a pie chart, the central angle, the arc length of each slice, and the area are directly proportional to the quantity or percentage it represents. Some real-world examples that can be depicted using pie charts include marks obtained by students...
15.8K
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

17.9K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
17.9K

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

Targeted Therapy and Oral Chemotherapy as Maintenance Treatment in Pediatric Very-High-Risk and High-Risk Rhabdomyosarcoma: A Retrospective Study of Efficacy and Safety.

International journal of cancer·2026
Same author

Mapping the landscape of individual-based models for respiratory pathogen transmission in the pandemic and post-pandemic era (2020-2024): A systematic review.

Epidemics·2026
Same author

Humanistic Care Needs of Hospitalised Patients With Diabetic Foot Ulcers: A Qualitative Descriptive Study From the Nurse-Patient Perspective.

International wound journal·2026
Same author

A Bayesian modelling framework to improve antibody titer estimation applied to RSV dilution series data.

Nature communications·2026
Same author

Macromolecular Design Principles Governing Electrospinning of Polymer Nanofibers.

Polymers·2026
Same author

Implications for distancing measures on in-person school and work attendance from Italian post-pandemic social contact data.

Communications medicine·2026

相关实验视频

Updated: Jan 10, 2026

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
09:26

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

Published on: June 30, 2023

1.5K

中国的COVID零后的Omicron波:贝叶斯式分析

Jun Cai1, Yanpeng Wu2, Hengcong Liu1,3

  • 1Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China.

Proceedings of the National Academy of Sciences of the United States of America
|November 25, 2025
PubMed
概括
此摘要是机器生成的。

中国中国中国中国.

关键词:
贝叶斯的推理 贝叶斯的推理这就是SARS-CoV-2病毒.行为反应是一种行为反应.数学建模的数学建模传输动力学 传输动力学

更多相关视频

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.8K
Concentration of Virus Particles from Environmental Water and Wastewater Samples Using Skimmed Milk Flocculation and Ultrafiltration
10:53

Concentration of Virus Particles from Environmental Water and Wastewater Samples Using Skimmed Milk Flocculation and Ultrafiltration

Published on: March 17, 2023

2.2K

相关实验视频

Last Updated: Jan 10, 2026

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
09:26

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

Published on: June 30, 2023

1.5K
Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.8K
Concentration of Virus Particles from Environmental Water and Wastewater Samples Using Skimmed Milk Flocculation and Ultrafiltration
10:53

Concentration of Virus Particles from Environmental Water and Wastewater Samples Using Skimmed Milk Flocculation and Ultrafiltration

Published on: March 17, 2023

2.2K

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:

  • 中国在2022年底从其"动态零COVID"政策转变,导致严重急性呼吸系统综合征冠状病毒2 (SARS-CoV-2) 的Omicron波广泛蔓延.
  • 了解这种波的传播动态对于为未来的公共卫生战略提供信息至关重要.

研究的目的:

  • 在政策转变之后,描述SARS-CoV-2 Omicron波在中国的传播动态.
  • 为了估计在波期间的累积感染攻击率和有效繁殖数.
  • 调查行为因素和流动性对传播的影响.

主要方法:

  • 使用贝叶斯框架来适应决定性的传输模型.
  • 该模型使用报告的COVID-19每日病例数和每周病毒学/类似流感疾病 (ILI) 监测数据进行校准.
  • 纳入了时间变化的行为反应系数,反映了累积感染和当前流行率.

主要成果:

  • 到2023年2月中旬,估计累计感染攻击率达到87.8%,在政策放宽一个月内感染人口的比例为84.1%.
  • 有效繁殖数在2022年12月8日达到5.69的峰值.
  • 传播率与春节前的长期行为反应 (ρ = 0.92) 和短期反应 (ρ = 0.87) 的移动模式有显著的相关性.

结论:

  • 中国的SARS-CoV-2 Omicron波是广泛的,累积感染攻击率很高.
  • 人口免疫力在很大程度上阻止了随后的浪潮,尽管云期间传播增加了.
  • 将时间变化的行为因素纳入流行病模型对于准确描述传播动态至关重要,特别是在突然的政策变化之后.