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Related Concept Videos

Introduction to Epidemiology01:26

Introduction to Epidemiology

Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
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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:
Steps in Outbreak Investigation01:18

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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:
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
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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:

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Updated: Jul 13, 2026

Cities As Interfaces of Zoonotic Hazard Emergence: Development of the New York City Tick and Wildlife Urban Surveillance System
10:17

Cities As Interfaces of Zoonotic Hazard Emergence: Development of the New York City Tick and Wildlife Urban Surveillance System

Published on: March 10, 2026

[Scientific journalism and epidemiological risk].

Olinda do Carmo Luiz1

  • 1Disciplina de Saúde Coletiva da Faculdade de Medicina do ABC e Núcleo de Investigação em Sistemas e Serviços de Saúde (NISIS), Instituto de Saúde da SES-SP, São Paulo SP. olindaca@uol.com.br

Ciencia & Saude Coletiva
|August 8, 2007
PubMed
Summary

Newspaper health news often oversimplifies scientific risk studies, focusing on individual behaviors and downplaying complex scientific disputes. This distorts public understanding of health risks and epidemiological research.

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An R-Based Landscape Validation of a Competing Risk Model
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An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

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Cities As Interfaces of Zoonotic Hazard Emergence: Development of the New York City Tick and Wildlife Urban Surveillance System
10:17

Cities As Interfaces of Zoonotic Hazard Emergence: Development of the New York City Tick and Wildlife Urban Surveillance System

Published on: March 10, 2026

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

Area of Science:

  • Health Communication
  • Science Journalism
  • Risk Communication

Context:

  • Mass media frequently report on scientific studies concerning health risks.
  • Disclosure of risk studies in media is a recurring topic in scientific discourse.
  • Scientific publications are often the source for health news in daily newspapers.

Purpose:

  • To explore the content and meaning of disclosing scientific risk studies in large-circulation daily newspapers.
  • To analyze news items published in Brazil and their scientific sources during 2000.
  • To understand how scientific risk information is translated for public consumption.

Summary:

  • Scientific risk research is often presented as a "black box" in media reports.
  • News items tend to simplify scientific disputes, emphasizing behavioral links to diseases.
  • There is an overemphasis on individual aspects of epidemiology, neglecting group-level factors.

Impact:

  • Media reporting can distort the public's perception of scientific findings on health risks.
  • Oversimplification may lead to a focus on individual responsibility rather than broader societal or environmental factors.
  • This analysis provides insights into the challenges of accurate science communication in the mass media.