在流行病和流行病期间进行社会科学研究:教训
Jennifer I Van Nuil1,2, Megan Schmidt-Sane3, Alex Bowmer4
1Oxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Vietnam.
Qualitative health research
|July 5, 2023
概括
在流行病期间进行实地研究需要调整方法. 这项研究表明,混合方法研究在低收入和中等收入国家是可行的,即使有限制,强调了早期社会科学融合的必要性.
科学领域:
- 全球健康 全球健康
- 社会科学 社会科学 社会科学
- 流行病学 流行病学
背景情况:
- 随着COVID-19的流行,全球的实地研究受到严重干扰.
- 混合方法研究对于理解与流行病相关的社会,政治和经济问题至关重要.
- 关于在流行病期间进行研究的证据有限.
研究的目的:
- 探索疫情期间研究的后勤和伦理考虑.
- 在低收入和中等收入国家 (LMICs) 调整混合方法研究中吸取的经验教训.
- 为了证明混合方法研究的可行性,在与流行病相关的约束中.
主要方法:
- 2021年在COVID-19大流行期间进行的两个研究项目的案例研究分析.
- 一项研究涉及乌干达的个人研究.
- 第二项研究结合了南亚和东南亚的远程和面对面的方法,重点是数据收集.
主要成果:
- 混合方法的研究是可行的,即使在流行病期间存在重大后勤和运营限制.
- 适应研究方法对于在具有挑战性的环境中成功收集数据至关重要.
- 案例研究强调了从卫生紧急情况的开始就需要系统地整合社会科学研究的必要性.
结论:
- 社会科学研究应及早,系统地纳入应对卫生紧急情况.
- 在卫生紧急情况期间和之后收集社会科学数据对于为公共卫生响应和未来准备工作提供信息至关重要.
- 正在进行的公共卫生研究必须继续进行,即使是在重大卫生危机期间.
相关概念视频
Steps in Outbreak Investigation
154
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:
154
Introduction to Epidemiology
797
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,...
797
Bias in Epidemiological Studies
369
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:
369
Principles of Disease Surveillance
127
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...
127
Statistical Methods for Analyzing Epidemiological Data
425
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:
425
Study Designs in Epidemiology
280
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.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
280


