慢性疾病地区的De Novo曝光学地理空间组合,使用机器学习和网络分析
Andrew Deonarine1, Ayushi Batwara2, Roy Wada3
1Boston Public Health Commission, 1010 Massachusetts Avenue, 6th Floor, Boston, MA 02118, USA; School of Population and Public Health, University of British Columbia, 2206 East Mall, Vancouver, BC V6T 1Z3, Canada; Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, USA.
EBioMedicine
|February 1, 2025
概括
暴露和流行病学关系预测算法 (aPEER) 识别了污染和慢性疾病之间的地理联系. 这种机器学习方法揭示了以前传统方法错过的环境健康模式.
科学领域:
- 环境流行病学环境流行病学
- 地理空间分析是什么
- 计算生物学 计算生物学
背景情况:
- 目前分析疾病和暴露体空间关系的方法有限.
- 暴露组包括影响健康的环境暴露.
- 了解这些空间联系对于公共卫生至关重要.
研究的目的:
- 引入和验证用于预测暴露体和流行病学关系 (aPEER) 的算法.
- 在美国,确定慢性疾病和环境污染物之间的空间关系.
- 为了证明aPEER在曝光学和流行病学研究中的实用性.
主要方法:
- 利用aPEER,一个机器学习和网络分析工具,检查了12种慢性疾病和186种污染物.
- 采用PCA,K-means集群和地图投影来定义污染物衍生的县集群.
- 计算了污染物集群和慢性疾病地理之间的雅卡德相关性,将结果与传统方法进行比较.
主要成果:
- aPEER生成了超过68000张可解释的地图,揭示了不同的污染来源地区.
- 在特定污染物 (如乙甲,甲) 和慢性疾病 (如高血压,中风和糖尿病) 之间发现了强烈的关联.
- 基于污染物的模型显示,慢性疾病地理与健康模型的社会决定因素的预测能力相似或优越.
结论:
- aPEER成功地确定了与慢性疾病相关的污染定义的地理区域.
- 该研究强调了aPEER在地理空间和流行病学分析中的有效性,以了解慢性疾病模式.
- 这种方法通过揭示环境对疾病地理的影响来推进暴露学研究.
相关概念视频
01:11Genome-wide Association Studies-GWAS
12.4K
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...
12.4K
01:18Steps in Outbreak Investigation
102
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:
102