Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Quantifying Work

Quantifying Work

As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system.

Statistical Methods for Analyzing Epidemiological Data

Statistical Methods for Analyzing Epidemiological Data

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:

Pareto Chart

Pareto Chart

A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...

Bias in Epidemiological Studies

Bias in Epidemiological Studies

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:

Chi-square Analysis

Chi-square Analysis

The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...

Single Nucleotide Polymorphisms-SNPs

Single Nucleotide Polymorphisms-SNPs

A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...

You might also read

Related Articles

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

Sort by

Same author

Climate change, planetary health and education in Africa - Some case studies and perspectives.

One health (Amsterdam, Netherlands)·2026

Same author

Ergonomics and human factors for a sustainable, resilient, human-centered future.

Applied ergonomics·2026

Same author

Workplace health and safety under climate stress in Sri Lankan apparel SMEs.

BMC public health·2026

Same author

Evaluation of knowledge, perception, and attitude of malaria burden in the Upper River region of The Gambia.

Malaria journal·2025

Same author

Climate change and malaria: an old enemy of Africa is back.

BMC public health·2025

Same author

Environmental and socio-economic determinants of malaria transmission in West Africa: a systematic review.

One health outlook·2025

Search research articles

Related Experiment Video

Updated: Oct 1, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

COVID-19 and decent work: A bibliometric analysis.

Rosley Anholon¹, Izabela Simon Rampasso^2,3, Thais Dibbern⁴

¹School of Mechanical Engineering, University of Campinas, Campinas, Brazil.

Work (Reading, Mass.)

|March 7, 2022

Summary

The COVID-19 pandemic negatively affected decent work, increasing informal labor, poverty, and gender disparities. It also led to unemployment, precarious conditions, and mental health issues, particularly for healthcare workers.

Keywords:

COVID-19 SDGs Work conditions decent work

More Related Videos

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

Published on: June 30, 2023

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

Related Experiment Videos

Last Updated: Oct 1, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

Published on: June 30, 2023

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

Area of Science:

Social Sciences
Economics
Public Health

Background:

The COVID-19 pandemic significantly disrupted progress towards the Sustainable Development Goals (SDGs).
SDG 8, focusing on decent work and economic growth, was particularly affected.
Existing literature has explored the pandemic's economic ramifications.

Purpose of the Study:

To evaluate the impact of the COVID-19 pandemic on decent work.
To synthesize existing literature on this topic using bibliometric analysis.

Main Methods:

Bibliometric analysis of literature.
Data sourced from Web of Science.
Analysis performed using VOSviewer software.

Main Results:

Four key clusters emerged, highlighting pandemic impacts on informal work, poverty, and gender issues.
A cluster focused on mental health and stress, especially among nurses.
Another cluster addressed unemployment, precarious work, and contagion risks.
A final cluster indicated broader public health consequences.

Conclusions:

The findings offer a condensed overview of the pandemic's effects on decent work.
This research aids scholars studying sustainable economic development.
Identified clusters provide a roadmap for future research directions.