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

Cancer Survival Analysis01:21

Cancer Survival Analysis

793
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
793
Manipulation and Analysis01:21

Manipulation and Analysis

306
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
306
Cluster Sampling Method01:20

Cluster Sampling Method

15.1K
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...
15.1K
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

1.1K
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:
1.1K
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

283
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
283
Introduction to GIS01:28

Introduction to GIS

618
Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
618

You might also read

Related Articles

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

Sort by
Same author

Examining Barriers to Cancer Care: A Needs Assessment of African American and Black African Immigrants in Iowa.

Journal of racial and ethnic health disparities·2026
Same author

Impact of Comorbidities on Survival among American Indian and Alaska Native People with Cancer: A Surveillance, Epidemiology, and End Results (SEER)-Medicare Study.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
Same author

Estimating Small Area Statistics and Developing a Novel Mapping Tool to Display Them Using a User-Centered Design Process.

JCO clinical cancer informatics·2026
Same author

Navigating Dual Burdens: Financial Burdens and Travel Burdens Among Rural-Dwelling Cancer Survivors.

Cancer control : journal of the Moffitt Cancer Center·2026
Same author

Impact of Medicaid Enrollment Timing on Tumor Stage at Diagnosis and Survival in Breast, Colorectal, and Lung Cancer.

Healthcare (Basel, Switzerland)·2026
Same author

Effect of Medicaid Audio-Only Telehealth Coverage Policy on Mental Health Visits in Federally Qualified Health Centers.

Health services research·2026
Same journal

The Link Between Sleep Health Dimensions and Hypertension for Cardiovascular Health.

Current epidemiology reports·2026
Same journal

Health Information Technology use among healthcare providers treating children and adolescents with obesity: A systematic review.

Current epidemiology reports·2026
Same journal

A Review of Combined Sewer Overflows and Gastrointestinal Illness in a Changing Climate.

Current epidemiology reports·2026
Same journal

Air Pollution Within the Public Health Exposome Framework: Impacts on Cardiovascular Health.

Current epidemiology reports·2026
Same journal

A Narrative Review of Cardiovascular Health in Autistic Individuals: Epidemiologic Evidence, Mechanistic Pathways, and Future Directions.

Current epidemiology reports·2026
Same journal

Transporting: What Is It and How Do You Do It?

Current epidemiology reports·2026
See all related articles

Related Experiment Video

Updated: Feb 24, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

776

Application of Spatial Methods in Rural Cancer Control Research in the United States.

Whitney E Zahnd1,2, Jan M Eberth3, Sarah H Nash4,5

  • 1Department of Health Management and Policy, College of Public Health, University of Iowa, 145 N. Riverside Dr, Iowa City, IA 52242 USA.

Current Epidemiology Reports
|February 23, 2026
PubMed
Summary
This summary is machine-generated.

Spatial methods are crucial for understanding and addressing cancer disparities in rural America. Continued research and adaptation of these techniques are essential for effective interventions and policies.

Keywords:
Cancer, rural health, mapping and visualizationSpatial epidemiologySpatial statistics

More Related Videos

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

5.5K
Applications of Spatio-temporal Mapping and Particle Analysis Techniques to Quantify Intracellular Ca2+ Signaling In Situ
09:34

Applications of Spatio-temporal Mapping and Particle Analysis Techniques to Quantify Intracellular Ca2+ Signaling In Situ

Published on: January 7, 2019

9.8K

Related Experiment Videos

Last Updated: Feb 24, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

776
Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

5.5K
Applications of Spatio-temporal Mapping and Particle Analysis Techniques to Quantify Intracellular Ca2+ Signaling In Situ
09:34

Applications of Spatio-temporal Mapping and Particle Analysis Techniques to Quantify Intracellular Ca2+ Signaling In Situ

Published on: January 7, 2019

9.8K

Area of Science:

  • Rural health research
  • Spatial epidemiology
  • Cancer control science

Background:

  • Significant cancer disparities affect 66 million Americans in rural areas.
  • Understanding spatial elements is key to targeting interventions effectively.

Purpose of the Study:

  • To review and summarize spatial methods used in rural cancer control research.
  • To highlight the importance of spatial analysis in addressing rural cancer disparities.

Main Methods:

  • Review of spatial methods including pattern identification, spatial accessibility, and regression approaches.
  • Examination of recent adaptations considering telehealth and rural hospital closures.
  • Analysis of small area estimation techniques for risk factor and burden assessment.

Main Results:

  • Spatial methods offer diverse approaches for rural cancer control.
  • Innovations include integrating telehealth and accounting for hospital closures.
  • Small area estimation techniques are advancing to provide crucial data for interventions.

Conclusions:

  • Persistent rural cancer disparities necessitate ongoing development and adaptation of spatial methods.
  • Spatial analysis is critical for informing effective policies and interventions.
  • Future research should focus on refining spatial techniques to reduce rural cancer burden.