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

Infection01:20

Infection

7.5K
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...
7.5K
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

1.5K
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...
1.5K
Natural Selection and Adaptation01:15

Natural Selection and Adaptation

163
Natural selection, a fundamental concept in evolutionary biology, is the mechanism by which evolution is driven, favoring organisms that are best adapted to their environments. This process enhances their chances of survival and reproduction. Adaptation, a key outcome of this process, involves genetic modifications that optimize an organism's functionality under specific environmental challenges, such as extreme cold or thinner air at high altitudes.
Beyond physical adaptations,...
163
Criteria for Causality: Bradford Hill Criteria - II01:28

Criteria for Causality: Bradford Hill Criteria - II

192
The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
192
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

102
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:
102
Transmission-based Precautions II: Airborne and Protective Environment01:25

Transmission-based Precautions II: Airborne and Protective Environment

1.2K
Transmission-based precautions are for patients infected or suspected to be infected (or colonized) with organisms posing a significant risk to others. The transmission precautions include airborne and protective environment precautions.
Airborne precautions:
Use airborne precautions when treating patients known or suspected to have diseases that spread through the air—for example, tuberculosis or measles. These organisms are present in smaller droplets expelled by an infected person and...
1.2K

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

Current advances in PDGF isoform specificity and variable functions in aging-associated neurological disorders.

Neurobiology of disease·2026
Same author

Elucidating Immune Cell Mediated Causal Pathways Linking Blood Metabolites to Major Depressive Disorder: A Mediation Mendelian Randomization Analysis.

Brain and behavior·2026
Same author

Effects of P38 MAPK Pathway Inhibition on the Metabolism of Periodontal Ligament Fibroblasts During Inflammation.

Journal of cellular and molecular medicine·2026
Same author

New Insights into Thermal Transport in ε-CL-20 Revealed by Machine-Learned Potentials and Mode-Projection Analysis.

The journal of physical chemistry. A·2026
Same author

Cervicovaginal dysbiosis and microenvironment disruption are associated with cervical carcinogenesis.

Microbiology spectrum·2026
Same author

Characteristics of Ionospheric Responses over China During the November 2023 Geomagnetic Storm and Evaluation of Positioning Performance of CORS in Low-Latitude Regions.

Sensors (Basel, Switzerland)·2026

相关实验视频

Updated: May 30, 2025

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

2.3K

通过学习解释框架发现依赖气候的疾病传播机制.

Jintao Wang1, Yanni Xiao1, Pengfei Song1

  • 1School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaan Xi, 710049, PR China.

Journal of theoretical biology
|January 27, 2025
PubMed
概括

这项研究揭示了天气模式和传染病传播之间的复杂,非线性关系. 我们的框架量化了气象因素如何影响传播,这对于预测和控制流行病至关重要.

科学领域:

  • 流行病学 流行病学
  • 环境科学 环境科学
  • 计算生物学 计算生物学

背景情况:

  • 气象因素显著影响传染病的传播.
  • 量化这些环境对疾病动态的影响仍然是一个挑战.

研究的目的:

  • 开发一个学习解释框架,以发现疾病传播对气象因素的依赖.
  • 确定天气影响的发病率和传播率的明确公式.

主要方法:

  • 使用深度神经网络 (DNN),符号回归 (SR) 和稀疏识别非线性动态 (SINDy).
  • 采用SIRS (易感-感染者-康复者-易感) 模型,从流行病数据中了解发病率.
  • 通过机制发现,探索传播速率和气象因素之间的关系.

主要成果:

  • 该研究确定了气象因素和疾病传播之间的强烈,非线性关系.
  • 为呼吸道传染病的发病率和传播率推导出明确的公式.
  • 关于西安流感样疾病 (ILI) 的案例研究表明了该框架的有效性.

结论:

  • 气象因素对传染病传播具有高度非线性影响.
关键词:
环境因素 环境因素传染性疾病传染性疾病.神经网络的神经网络不线性动态的稀疏识别.象征性回归是一种象征性回归.

更多相关视频

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

19.8K
Preventing the Spread of Malaria and Dengue Fever Using Genetically Modified Mosquitoes
17:50

Preventing the Spread of Malaria and Dengue Fever Using Genetically Modified Mosquitoes

Published on: July 4, 2007

12.5K

相关实验视频

Last Updated: May 30, 2025

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

2.3K
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

19.8K
Preventing the Spread of Malaria and Dengue Fever Using Genetically Modified Mosquitoes
17:50

Preventing the Spread of Malaria and Dengue Fever Using Genetically Modified Mosquitoes

Published on: July 4, 2007

12.5K
  • 对这些环境影响的准确建模需要仔细考虑.
  • 开发的框架提供了一种量化天气疾病传播动态的方法.