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

Principles of Disease Surveillance

Principles of Disease Surveillance

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...

Steps in Outbreak Investigation

Steps in Outbreak Investigation

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:

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,...

The Scientific Method

The Scientific Method

The scientific method is a detailed, empirical problem-solving process used by biologists and other scientists. This iterative approach involves formulating a question based on observation, developing a testable potential explanation for the observation (called a hypothesis), making and testing predictions based on the hypothesis, and using the findings to create new hypotheses and predictions.
Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...

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:

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:

You might also read

Related Articles

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

Sort by

Same author

Bile acids in Alzheimer's disease: a double-edged sword in gut-liver-brain signaling and neurodegeneration.

Naunyn-Schmiedeberg's archives of pharmacology·2026

Same author

Metformin as a multi-target modulator of atherosclerosis: integrated regulation of Nrf2/KLF2, mitochondrial homeostasis, inflammation, ferroptosis, and innate immunity.

The Journal of pharmacy and pharmacology·2026

Same author

The Potential Role of Verapamil Against Fluconazole-Induced Torsade de Pointes: A Critical Review.

Health science reports·2026

Same author

Placental dysfunction, inflammation, and impaired autophagy in preeclampsia: A pathophysiological link to autism spectrum disorder.

Metabolic brain disease·2026

Same author

Targeting of MAPK-ERK1/2 signaling by metformin in asthma: an updated mechanistic insight.

Naunyn-Schmiedeberg's archives of pharmacology·2026

Same author

SIRT1 Activators as Geroprotective Agents in Brain Aging: Mechanisms and Therapeutic Potential.

Neuromolecular medicine·2026

Search research articles

Related Experiment Video

Updated: Dec 9, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

How many scientists does it take to write a COVID-19 case report?

Marios Papadakis¹

¹Department of Surgery II, University Witten-Herdecke, Witten, Germany.

Accountability in Research

|September 15, 2020

Summary

COVID-19 case reports show a trend of authorship proliferation, with many short reports featuring numerous authors. This pattern is more pronounced in COVID-19 research compared to other infectious diseases.

Keywords:

Authorship COVID-19 ICMJE guidelines case report medical publication

More Related Videos

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

Related Experiment Videos

Last Updated: Dec 9, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

Area of Science:

Medical Informatics
Bibliometrics
Epidemiology

Background:

Over 40,000 articles on COVID-19 were published by August 2020.
1,552 of these were indexed as case reports (COVID Group).
A comparison group (ID Group) of 496 infectious disease case reports (excluding COVID-19) was identified.

Purpose of the Study:

To explore and compare authorship patterns in COVID-19 case reports versus other infectious disease case reports.
To identify trends in the number of authors per manuscript.

Main Methods:

Comparative analysis of authorship data from Medline.
Statistical comparison of mean authors, median authors, and the proportion of manuscripts with 15+ authors between the COVID Group and ID Group.

Main Results:

COVID-19 case reports had a mean of 6.1 authors, compared to 6.2 in the ID Group (p=0.43).
Significantly more COVID-19 case reports (3.3%) had 15 or more authors than the ID Group (1.4%) (p=0.03).
14% of COVID-19 case reports had 10+ authors, with 1% authored by 20+ individuals.

Conclusions:

COVID-19 case reports demonstrate a trend of authorship proliferation.
This trend is evident even in concise, two-page case reports, often involving over 15 scientists.