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

Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

491
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
491
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

408
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...
408
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

819
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:
819
Cancer Survival Analysis01:21

Cancer Survival Analysis

588
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...
588
Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

3.9K
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...
3.9K
Relative Risk01:12

Relative Risk

1.6K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
1.6K

You might also read

Related Articles

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

Sort by
Same author

Integrative multi-omics reveals a regulatory and exhausted T-cell landscape in CLL and identifies galectin-9 as an immunotherapy target.

Nature communications·2025
Same author

The point prevalence of South African male soccer players' injuries in the Gauteng province.

South African journal of sports medicine·2024
Same author

Renal transplant recipient and deceased-donor risk profiles at Wits Donald Gordon Medical Centre, Johannesburg, South Africa: A 9-year review.

South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde·2024
Same author

South African surgical trainees Master of Medicine dissertation survey.

South African journal of surgery. Suid-Afrikaanse tydskrif vir chirurgie·2023
Same author

Revealing x-ray and gamma ray temporal and spectral similarities in the GRB 190829A afterglow.

Science (New York, N.Y.)·2021
Same author

The growth patterns of the medical technology profession in South Africa.

African journal of laboratory medicine·2021

Related Experiment Video

Updated: Dec 24, 2025

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model
23:56

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model

Published on: October 31, 2010

17.0K

A Comparison Between Selected Noncommunicable Disease Mortality Rates Between 2010 and 2016 Among Selected Southern

T J Ellapen1, M Barnard2, G L Strydom1

  • 1Faculty of Science, Tshwane University of Technology, Pretoria, South Africa.

International Quarterly of Community Health Education
|April 8, 2020
PubMed
Summary
This summary is machine-generated.

Noncommunicable diseases (NCDs) like cardiovascular disease, cancer, and diabetes are major causes of death in Southern Africa. Between 2010 and 2016, NCDs increased as a proportion of total deaths in the region.

Keywords:
cancercardiovasculardeath diabetes mellitusrespiratory

More Related Videos

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
19:57

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

Published on: March 30, 2014

19.0K
IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae
08:22

IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae

Published on: January 15, 2020

6.5K

Related Experiment Videos

Last Updated: Dec 24, 2025

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model
23:56

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model

Published on: October 31, 2010

17.0K
An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
19:57

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

Published on: March 30, 2014

19.0K
IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae
08:22

IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae

Published on: January 15, 2020

6.5K

Area of Science:

  • Public Health
  • Epidemiology
  • Global Health

Background:

  • Noncommunicable diseases (NCDs) are leading causes of mortality globally and regionally.
  • Key NCDs contributing to increased aged standardized death rates (ASDRs) include cardiovascular diseases, cancer, diabetes mellitus, and respiratory diseases.

Purpose of the Study:

  • To compare changes in ASDR for principal NCDs between 2010 and 2016.
  • To analyze NCD burden in Botswana, Mozambique, Namibia, South Africa, and Zimbabwe.

Main Methods:

  • Utilized data from the 2016 Global Health Estimate.
  • Analyzed ASDR data for selected Southern African countries for the years 2010 and 2016.

Main Results:

  • Cardiovascular diseases (cardiac and stroke) were the most prevalent NCDs linked to increased ASDR, followed by cancer, diabetes mellitus, and chronic respiratory diseases.
  • The proportion of total deaths attributed to NCDs rose from 43.8% in 2010 to 51.0% in 2016 (p < .0001).
  • Principal NCDs increased their share of total ASDR from 33.0% in 2010 to 38.2% in 2016 (p < .0001).

Conclusions:

  • NCDs represent a growing public health challenge in Southern Africa.
  • There was a significant increase in the burden of principal NCDs and their contribution to overall mortality in the studied region between 2010 and 2016.