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

Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

347
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:
347
Cluster Sampling Method01:20

Cluster Sampling Method

11.9K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
11.9K
Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

3.2K
At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
3.2K
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

122
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:
122
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

92
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...
92
Sampling Plans01:23

Sampling Plans

180
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
180

You might also read

Related Articles

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

Sort by
Same author

The Association Between Motor and Social Skills in Young Autistic Children Enrolled in the Study to Explore Early Development.

Autism : the international journal of research and practice·2026
Same author

Application of the Population Health Institute Model of Health for Identifying Cancer Catchment Area Priorities.

JCO clinical cancer informatics·2026
Same author

Exploring Community Health in the 2020s: Updates to the County Health Rankings Model, Methods, and Tools.

Journal of public health management and practice : JPHMP·2026
Same author

Optimizing facility-specific urinary weighted-incidence syndromic antibiograms for nursing homes.

Infection control and hospital epidemiology·2026
Same author

Gastroesophageal Reflux, Sleep-Disordered Breathing, and Outcomes in Patients With Idiopathic Pulmonary Fibrosis.

Canadian respiratory journal·2025
Same author

Trends Over Time in the Prevalence of Autism by Adaptive and Intellectual Functioning Levels.

Autism research : official journal of the International Society for Autism Research·2025

Related Experiment Video

Updated: Jun 21, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.1K

Cluster Analysis Methods to Support Population Health Improvement Among US Counties.

Elizabeth A Pollock1, Ronald E Gangnon, Keith P Gennuso

  • 1Department of Population Health Sciences, University of Wisconsin Population Health Institute, University of Wisconsin-Madison, Madison, Wisconsin (Drs Pollock, Gennuso and Givens); and Department of Population Health Sciences, University of Wisconsin-Madison, Madison, Wisconsin (Dr Gangnon).

Journal of Public Health Management and Practice : JPHMP
|July 10, 2024
PubMed
Summary
This summary is machine-generated.

Cluster analysis groups counties into 30 health categories, improving understanding of rank uncertainty. This method helps visualize county performance and identify peer groups for public health insights.

More Related Videos

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.4K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.2K

Related Experiment Videos

Last Updated: Jun 21, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.1K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.4K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.2K

Area of Science:

  • Health outcomes research
  • Statistical analysis in public health
  • Data visualization techniques

Background:

  • Population health rankings aim to improve health by highlighting areas needing attention.
  • Rankings can be misinterpreted as definitive, masking significant variations and uncertainty.
  • Complex statistical models for rank uncertainty are difficult for broad audiences to understand.

Purpose of the Study:

  • To explore cluster analysis as an accessible method for addressing rank imprecision.
  • To create data-informed groupings that are easily communicated numerically and visually.
  • To improve the interpretation of health outcome rankings.

Main Methods:

  • K-means clustering with Wasserstein distance was applied to 2022 County Health Rankings (CHR) health outcomes data.
  • Analysis included 3082 US counties.
  • The goal was to identify natural groupings and data distribution gaps.

Main Results:

  • Thirty distinct health groupings (clusters) were identified nationwide, with 9 to 184 counties per cluster.
  • States averaged 16 clusters, varying by state size and population.
  • This approach mitigated issues associated with using only rank estimates.

Conclusions:

  • Cluster analysis offers a way to understand uncertainty in health outcome rankings.
  • It enables visualization of differences and similarities between county ranks.
  • Public health practitioners can use these groupings to compare county performance with similar counties.