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

282
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...
282
Censoring Survival Data01:09

Censoring Survival Data

301
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...
301
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

271
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:
271
Ethical Standards II01:23

Ethical Standards II

993
Ethical standards are the backbone of nursing practice, guiding nurses as they interact with patients, families, and colleagues. These standards are crucial for providing safe, empathetic care centered on the patient's needs.
Nurses are entrusted with upholding various ethical principles and standards. Nurses forge solid therapeutic relationships using trust, empathy, autonomy, confidentiality, and professional competence.
Confidentiality is crucial, embodying respect for individual privacy...
993
Ethical Standards I01:25

Ethical Standards I

1.2K
The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
1.2K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.0K
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...
1.0K

You might also read

Related Articles

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

Sort by
Same author

Alcohol Consumption During Pregnancy Among Women Aged 18-49 Years - United States, 2021-2024.

MMWR. Morbidity and mortality weekly report·2026
Same author

Fully human anti-FOLR1 T-cell engager demonstrates potent activity in CBFA2T3::GLIS2 acute megakaryoblastic leukemia.

Blood neoplasia·2026
Same author

Social vulnerability, access to care, and outcomes in hemophilia.

Blood vessels, thrombosis & hemostasis·2026
Same author

Caregiver-reported evaluation for and diagnosis of fetal alcohol spectrum disorders in the United States.

Drug and alcohol dependence·2026
Same author

Cancer classification with radiomics in controlled preclinical models.

Scientific reports·2026
Same author

Neonatal Abstinence Syndrome in the MATernaL and Infant clinical NetworK.

Hospital pediatrics·2025

Related Experiment Video

Updated: Nov 1, 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

4.4K

Protecting Privacy and Transforming COVID-19 Case Surveillance Datasets for Public Use.

Brian Lee1,2, Brandi Dupervil1,3, Nicholas P Deputy1,3,4

  • 1COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Public Health Reports (Washington, D.C. : 1974)
|June 18, 2021
PubMed
Summary

The Centers for Disease Control and Prevention (CDC) now offers two de-identified public datasets, enhancing transparency and data sharing for critical health research. These datasets improve understanding of diseases, including COVID-19, by providing valuable data to researchers and policymakers.

Keywords:
COVID-19SARS-CoV-2data paperdata privacyde-identificationopen data

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
Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

2.7K

Related Experiment Videos

Last Updated: Nov 1, 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

4.4K
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
Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

2.7K

Area of Science:

  • Public Health Data Science
  • Epidemiology
  • Health Informatics

Background:

  • Federal open-data initiatives are crucial for transparency, data quality, and public trust.
  • Sharing federally collected data advances understanding of health conditions, especially emerging diseases like COVID-19.
  • The Centers for Disease Control and Prevention (CDC) collects extensive person-level, de-identified health data.

Purpose of the Study:

  • To describe the design and production of two de-identified public datasets by the CDC.
  • To facilitate broader data analysis and collaboration outside the CDC.
  • To meet evolving data needs for emerging health conditions.

Main Methods:

  • Data elements were selected based on utility, public interest, and privacy considerations.
  • Specific data fields were suppressed to mitigate re-identification risks.
  • Datasets were created and rigorously verified for privacy and confidentiality using analytic tools and R scripts.

Main Results:

  • Two de-identified public datasets are now produced by the CDC.
  • Unrestricted data are accessible via Data.CDC.gov.
  • Restricted data, with additional fields, are available through a private GitHub repository upon data-use agreement.

Conclusions:

  • Improved understanding of data creation methods and privacy algorithms enhances data utility.
  • Automating data generation processes increases the volume and timeliness of shared data.
  • These datasets support public health research and policy development.