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Updated: May 7, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
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用户对支持基于证据的公共卫生决策框架的经验:范围审查

Javier Bracchiglione1,2,3,4, Yang Song5,4, Jose F Meneses-Echávez6,7

  • 1Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, Spain.

Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin
|May 16, 2025
PubMed
概括

用户发现证据决策 (EtD) 框架有助于公共卫生决策,增强证据使用和共识. 然而,诸如有限的证据质量和不清楚的标准等障碍需要解决,以便更广泛地采用.

关键词:
在决策过程中做出决定.卫生规划指南 卫生规划指南感染 感染 感染预防和控制 预防和控制公共卫生公共卫生.

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Models of Health Promotion and Illness Prevention I

A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
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Models of Health Promotion and Illness Prevention II

The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results from...
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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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Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
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Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
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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: