相关实验视频

Updated: Jan 9, 2026

Remote Laboratory Management: Respiratory Virus Diagnostics
14:56

Remote Laboratory Management: Respiratory Virus Diagnostics

Published on: April 6, 2019

33.5K

针对流行病爆发的灵活的上学策略:基于模拟的决策支持

Satoshi Takahashi1,2, Masaki Kitazawa3, Atsushi Yoshikawa4,5

  • 1Graduate School of Economics, Nagoya University, Chikusaku, Nagoya, Aichi, 4648601, Japan. takahashi.satoshi.h0@f.mail.nagoya-u.ac.jp.

BMC public health
|December 3, 2025
PubMed
概括

一个新的框架有助于调整学校感染控制措施,因为疾病特征变得越来越明显. 这种方法在疫情期间平衡了感染抑制与教育和社会连续性的方法.

关键词:
教育连续性的教育连续性.新兴的传染病新出现的传染病.传染病模拟传染病模拟学校环境 学校环境社会连续性 社会连续性时间表的调整时间表的调整联合国教科文组织政策政策

更多相关视频

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling08:26

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling

Published on: June 23, 2022

2.0K
Trajectory Data Analyses for Pedestrian Space-time Activity Study16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

14.1K

相关概念视频

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

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:
470
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

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...
440
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

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:
875
Causality in Epidemiology01:21

Causality in Epidemiology

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
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
850
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
437