野火暴露和人类健康研究的数据链接:一个范围审查
J Barkoski1, E Van Fleet1, A Liu2,3
1Social & Scientific Systems, Inc. a DLH Holdings Company Durham NC USA.
GeoHealth
|March 15, 2024
概括
野火烟雾会影响健康,但目前的数据来源有局限性. 改善数据收集和整合对于了解这些环境暴露至关重要.
科学领域:
- 环境健康 环境健康
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 野火的频率和强度正在增加,对人类健康构成重大风险.
- 了解野火对健康的影响需要强大的环境暴露和健康结果数据.
研究的目的:
- 审查与野火相关的健康影响.
- 识别和描述野火暴露和健康结果的数据来源.
- 通过使用暴露和健康数据,精确定位差距和促进研究发展的机会.
主要方法:
- 这是一篇来自PubMed.Med的83篇文章的综述性综述.
- 在野火研究中使用的环境暴露和健康结果数据源的分析.
主要成果:
- 大多数研究都集中在呼吸系统和心血管的结果上.
- 医院行政数据是主要的健康数据来源;监测网络中的细颗粒物 (PM2.5) 是主要的暴露量.
- 卫生数据缺乏实时,空间和时间覆盖长期潜伏结果,而暴露数据虽然覆盖更好,但错过了复杂的污染物混合物和非空气通路.
结论:
- 现有的数据源提供了一个基础,但在实时,空间和时间分辨率方面存在局限性.
- 有机会改善数据收集,集成和可访问性,以全面了解野火对健康的影响.
- 需要加强数据策略,以应对环境事件的复杂暴露和长期健康后果.
更多相关视频
04:47Author Spotlight: Controlled Human Exposure Model for Tick Research and Lyme Disease Studies
Published on: December 1, 2023
635
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
14.5K
相关概念视频
Criteria for Causality: Bradford Hill Criteria - II
307
The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
307
Genome-wide Association Studies-GWAS
13.4K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
13.4K
Causality in Epidemiology
409
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...
409
Study Designs in Epidemiology
215
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...
215
Strategies for Assessing and Addressing Confounding
99
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.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
99
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
126
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
126
