Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

290
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:
290
Causality in Epidemiology01:21

Causality in Epidemiology

1.2K
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...
1.2K
Contact-dependent Signaling01:19

Contact-dependent Signaling

45.8K
Contact-dependent signaling, as the name suggests, requires that communicating cells be in direct contact with each other. This is achieved either through receptor-ligand interactions or by specialized cytoplasmic channels that allow the flow of small molecules between cells. In animal cells, channels called gap junctions facilitate contact-dependent signaling in certain tissues, whereas, plasmodesmata perform a similar function in plants.
Gap Junctions
In animal cells, gap junctions are formed...
45.8K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

223
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
223
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

197
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
197
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

289
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...
289

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Root cause discovery via permutations and Cholesky decomposition.

Journal of the Royal Statistical Society. Series B, Statistical methodology·2026
Same author

Body mass index and airway mucus plugs: findings from the COPDGene and ECLIPSE studies.

Thorax·2026
Same author

Addition of anterolateral ligament reconstruction to primary hamstring autograft ACLR improves objective rotatory stability and reduces re-tear rates: a systematic review and meta-analysis.

Knee surgery & related research·2026
Same author

Outcomes Following Ultrasound-guided Percutaneous Cryoneurolysis for the Treatment of Spasticity.

American journal of physical medicine & rehabilitation·2026
Same author

Coronoid Bone Stress Injury: A Unique Cause of Elbow Pain in a Professional Baseball Pitcher.

Current sports medicine reports·2026
Same author

Epidemiology of Injuries in United States High School Track and Field Running Events From 2008 to 2019.

Journal of athletic training·2026

Related Experiment Video

Updated: Nov 9, 2025

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling
08:26

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

Published on: June 23, 2022

1.9K

The importance of timely contact tracing - A simulation study.

Sofia K Mettler1, Jewel Park2, Orhun Özbek3

  • 1Seminar for Statistics, Department of Mathematics, ETH Zurich, Rämistrasse 101, 8092 Zurich, Switzerland; School of Public Health, Harvard University, Huntington Ave 677, Boston, MA 02115, United States.

International Journal of Infectious Diseases : IJID : Official Publication of the International Society for Infectious Diseases
|April 16, 2021
PubMed
Summary

Contact tracing effectiveness for COVID-19 control can be measured by the diagnostic serial interval. Shorter intervals significantly reduce epidemic peaks and the overall proportion of infected individuals.

Keywords:
Agent based modelCOVID-19Contact tracingDiagnostic serial intervalEpidemic controlSARS-CoV-2Serial interval

More Related Videos

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
07:13

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

4.4K
Efficient SARS-CoV-2 Quantitative Reverse Transcriptase PCR Saliva Diagnostic Strategy utilizing Open-Source Pipetting Robots
11:11

Efficient SARS-CoV-2 Quantitative Reverse Transcriptase PCR Saliva Diagnostic Strategy utilizing Open-Source Pipetting Robots

Published on: February 11, 2022

4.8K

Related Experiment Videos

Last Updated: Nov 9, 2025

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling
08:26

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

Published on: June 23, 2022

1.9K
Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
07:13

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

4.4K
Efficient SARS-CoV-2 Quantitative Reverse Transcriptase PCR Saliva Diagnostic Strategy utilizing Open-Source Pipetting Robots
11:11

Efficient SARS-CoV-2 Quantitative Reverse Transcriptase PCR Saliva Diagnostic Strategy utilizing Open-Source Pipetting Robots

Published on: February 11, 2022

4.8K

Area of Science:

  • Epidemiology
  • Public Health
  • Infectious Disease Modeling

Background:

  • Contact tracing is crucial for COVID-19 containment until widespread vaccination.
  • Objective indicators for contact tracing effectiveness are lacking.
  • The diagnostic serial interval is proposed as a novel effectiveness indicator.

Purpose of the Study:

  • To evaluate the diagnostic serial interval as an indicator for contact tracing effectiveness.
  • To demonstrate the correlation between diagnostic serial interval and epidemic trajectory using simulation.

Main Methods:

  • An agent-based simulation model was employed.
  • Four scenarios were simulated: no diagnosis, diagnosis by symptoms, diagnosis with loose contact tracing, and diagnosis with tight contact tracing.
  • Scenarios involving contact tracing were further refined by varying target diagnostic serial intervals.

Main Results:

  • Contact tracing (scenarios 3 and 4) reduced epidemic height and cumulative infections compared to no tracing (scenarios 1 and 2).
  • Shorter diagnostic serial intervals led to smaller epidemic peaks.
  • A shorter diagnostic serial interval increased the proportion of the population remaining susceptible.

Conclusions:

  • A short target diagnostic interval is essential for effective epidemic control via contact tracing.
  • The diagnostic serial interval can serve as a metric to assess and guide contact tracing strategies.