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

Principles of Disease Surveillance01:26

Principles of Disease Surveillance

374
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...
374
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

401
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:
401
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

17.7K
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,...
17.7K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.2K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.2K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

1.1K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.1K
Censoring Survival Data01:09

Censoring Survival Data

419
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
419

You might also read

Related Articles

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

Sort by
Same author

The medical competency training "climate-sensitive health counseling" - an interdisciplinary approach in planetary health education.

GMS journal for medical education·2026
Same author

A bio-psycho-socio-planetary model of health and Iris Marion Young's concept of responsibility as foundation for a medical ethos during environmental crises.

GMS journal for medical education·2026
Same author

The Place of Marginalization in Bioethics: Do We Need the Concept?

Bioethics·2026
Same author

Physicians' ethical responsibilities in relation to the climate and further environmental crises: a review of academic publications.

Medicine, health care, and philosophy·2026
Same author

[DiGA, non-DiGA and realities of practice : A questionnaire study on opportunities and challenges of health apps in the field of mental healthcare].

Der Nervenarzt·2026
Same author

[Motivations, Challenges And Values Of Developers In Diga And Health App Start-Ups: A Qualitative Interview Study In Germany].

Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany))·2026

Related Experiment Video

Updated: Dec 11, 2025

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

4.5K

Pandemic Surveillance and Racialized Subpopulations: Mitigating Vulnerabilities in COVID-19 Apps.

Tereza Hendl1, Ryoa Chung2, Verina Wild3

  • 1Institute of Ethics, History and Theory of Medicine, Ludwig-Maximilians-University in Munich, Lessingstr. 2, 80336, Munich, Germany. tereza.hendl@med.uni-muenchen.de.

Journal of Bioethical Inquiry
|August 26, 2020
PubMed
Summary

Digital tracing technology for COVID-19 (coronavirus disease 2019) raises ethical concerns beyond privacy. This technology risks disproportionately harming vulnerable populations through profiling and criminalization.

Keywords:
COVID-19Digital health technologiesEquityJusticePandemic disease surveillanceRacial inequalityRacialized subpopulationsSolidarity COVID-19 appsVulnerability

More Related Videos

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
An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

3.2K

Related Experiment Videos

Last Updated: Dec 11, 2025

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

4.5K
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
An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

3.2K

Area of Science:

  • Public Health
  • Digital Ethics
  • Surveillance Studies

Background:

  • COVID-19 pandemic response heavily relies on digital tracing technology.
  • Ethical discussions have primarily focused on privacy, efficacy, and user uptake.
  • Power imbalances and vulnerability associated with surveillance technology are under-examined.

Purpose of the Study:

  • To highlight the ethical challenges of digital tracing technology in COVID-19 response.
  • To examine the potential for exacerbating vulnerability in marginalized groups.
  • To propose values for responsible development and implementation of surveillance technology.

Main Methods:

  • Analysis of ethical implications of digital surveillance in public health.
  • Review of potential harms to vulnerable subpopulations.
  • Identification of key challenges in implementing disease surveillance technology.

Main Results:

  • Digital surveillance technologies can lead to disproportionate profiling, policing, and criminalization of marginalized groups.
  • Vulnerable subpopulations often bear a higher burden from surveillance measures.
  • Existing ethical frameworks may not adequately address power imbalances in digital health surveillance.

Conclusions:

  • COVID-19 tracing apps must be developed and implemented with careful consideration of vulnerability.
  • Ensuring equitable data use and avoiding harm to surveilled populations is crucial.
  • A framework of values is needed to guide the ethical deployment of pandemic surveillance technology.