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Related Concept Videos

Influenza01:27

Influenza

Influenza is an acute, highly communicable viral disease that affects the respiratory tract and is responsible for seasonal epidemics worldwide. Influenza A is the most prevalent type associated with widespread outbreaks and is subtyped based on two surface glycoproteins: hemagglutinin (H) and neuraminidase (N), as in H1N1. These glycoproteins are essential for viral infectivity, transmission, and immune recognition. Transmission occurs primarily through respiratory droplets and contaminated...
Statistical Methods for Analyzing Epidemiological Data01:25

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:
Steps in Outbreak Investigation01:18

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:
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
Bias in Epidemiological Studies01:29

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:
Infectious Diseases and Their Occurrence01:28

Infectious Diseases and Their Occurrence

Infectious diseases appear in populations through various transmission patterns, influenced by pathogen characteristics, population immunity, environmental conditions, and social behavior. Understanding these patterns is essential for effective public health surveillance and intervention. These categories—sporadic, outbreak, epidemic, pandemic, and endemic—help frame the nature and scope of disease events.Sporadic diseases occur irregularly and infrequently, without a predictable temporal or...

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Related Experiment Video

Updated: May 7, 2026

High-throughput Detection Method for Influenza Virus
10:05

High-throughput Detection Method for Influenza Virus

Published on: February 4, 2012

Influenza: a scientometric and density-equalizing analysis.

Ralph Fricke1, Stefanie Uibel, Doris Klingelhoefer

  • 1Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe-University, Frankfurt, Germany. klingelhoefer@med.uni-frankfurt.de.

BMC Infectious Diseases
|October 2, 2013
PubMed
Summary
This summary is machine-generated.

Influenza research has significantly increased globally, with the USA leading in publications and international collaboration. While scientific output is growing, citation impact should be critically evaluated due to self-citation and co-authorship.

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Area of Science:

  • Public Health
  • Infectious Diseases
  • Scientometrics

Background:

  • Influenza, including novel H1N1 and seasonal strains, poses a persistent global public health challenge.
  • The growing volume of influenza research necessitates methods to identify significant contributions.
  • Scientometric analysis and density equalizing mapping can reveal global research trends and collaborations.

Purpose of the Study:

  • To analyze the temporal trends and geographical distribution of influenza research.
  • To investigate national and international collaboration patterns in influenza studies.
  • To identify key journals, authors, and institutions in influenza research.

Main Methods:

  • Bibliometric data from Web of Science (WoS) covering 1900-2009 were analyzed.
  • Scientometric indices and density equalizing mapping were employed.
  • Publication output, citation activity, and international cooperation were assessed.

Main Results:

  • A total of 51,418 publications from 151 countries were identified, showing a continuous increase in research output since 1990.
  • The USA dominated publications (over 37%) and international cooperation, followed by the UK and Germany.
  • Journal of Virology, Vaccine, and Virology were leading journals; The Lancet had the highest impact factor; Robert Webster was the most prolific author.

Conclusions:

  • Influenza research demonstrates a broad and increasing global interest.
  • Citation-based quality assessments require critical consideration due to potential biases like self-citation and co-authorship.