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

Bias01:22

Bias

4.8K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
4.8K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

593
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:  
593
Confirmation Biases01:31

Confirmation Biases

7.1K
The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
7.1K
Naturalistic Observations02:30

Naturalistic Observations

15.8K
If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
15.8K
Self-Presentation: Self-Monitoring and Self-Handicapping02:05

Self-Presentation: Self-Monitoring and Self-Handicapping

40.0K
People can go to great lengths to protect their self-image and present themselves in ways that they want others to see them. Sociologist Erving Goffman presented the idea that a person is like an actor on a stage. Calling his theory dramaturgy, Goffman believed that we use “impression management” to present ourselves to others as we hope to be perceived. Each situation is a new scene, and individuals perform different roles depending on who is present (Goffman, 1959). Think about...
40.0K
Hindsight Biases01:12

Hindsight Biases

3.9K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
3.9K

You might also read

Related Articles

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

Sort by
Same author

Assessing the magnitude of surveillance bias in prostate cancer, melanoma and lung cancer.

European journal of cancer (Oxford, England : 1990)·2026
Same author

Paralysis in public health: evidence as an alibi?

The Lancet. Public health·2026
Same author

Increasing Burden of Early-Onset Cancers: Disentangling the Contributions of Changes in Risk from Demographic Shifts.

Cancer research communications·2026
Same author

Be wary of age-stratum aging in early-onset cancer trends.

Epidemiology (Cambridge, Mass.)·2026
Same author

Evidence in All Policies: Restoring Science to Public Health and Clinical Decision-Making.

Journal of general internal medicine·2026
Same author

When risk becomes disease.

BMJ (Clinical research ed.)·2026

Related Experiment Video

Updated: Sep 5, 2025

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias
09:03

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Published on: February 29, 2020

5.9K

[Surveillance bias: when appearances are misleading].

Stefano Tancredi1, Stéphane Cullati1,2, Arnaud Chiolero1,3,4

  • 1Laboratoire de santé des populations (#PopHealthLab), Université de Fribourg, 1700 Fribourg.

Revue Medicale Suisse
|July 13, 2022
PubMed
Summary

Public health surveillance relies on data collection and analysis. Surveillance bias, however, distorts disease burden assessment by misattributing frequency variations to detection methods rather than actual risk.

More Related Videos

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
09:49

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

Published on: December 24, 2015

14.3K
The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling
06:51

The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling

Published on: April 6, 2018

8.5K

Related Experiment Videos

Last Updated: Sep 5, 2025

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias
09:03

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Published on: February 29, 2020

5.9K
Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
09:49

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

Published on: December 24, 2015

14.3K
The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling
06:51

The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling

Published on: April 6, 2018

8.5K

Area of Science:

  • Public Health
  • Epidemiology
  • Health Informatics

Background:

  • Public health surveillance involves continuous collection, analysis, and dissemination of health data for decision-making.
  • Growing reliance on non-primary data sources, like healthcare provider data, increases surveillance challenges.
  • Diseases such as COVID-19, prostate cancer, and hypertension are susceptible to surveillance bias.

Purpose of the Study:

  • To define surveillance bias and its impact on public health.
  • To highlight the challenges posed by using non-primary data in surveillance.
  • To underscore the implications of surveillance bias for disease burden assessment and quality of care monitoring.

Main Methods:

  • Conceptual analysis of public health surveillance principles.
  • Examination of the definition and mechanisms of surveillance bias.
  • Discussion of the impact of detection modality variations on reported condition frequencies.

Main Results:

  • Surveillance bias arises from variations in detection methods, not true risk changes.
  • This bias leads to inaccurate assessments of the actual disease burden.
  • The use of healthcare data not designed for surveillance exacerbates this issue.

Conclusions:

  • Surveillance bias significantly hinders accurate disease burden estimation.
  • It compromises the reliability of public health surveillance, especially when using secondary data.
  • Addressing surveillance bias is crucial for effective public health decision-making and quality of care monitoring.