野火烟雾暴露对公共健康的影响：怀俄明州呼吸相关医疗补助索赔分析

数据集获取（Figshare）

• 源站标题：<p dir=“ltr”><b>Public Health Impacts of Wildfire Smoke Exposure: Analysis of Respiratory-Related Medicaid Claims in Wyoming</b></p>
• DOI：10.6084/m9.figshare.30920846.v1
• 发布日期：2025-12-19
• 文件数：2 个
• 文件总体积：186.77 KB
• 源站页面：https://figshare.com/articles/dataset/_p_dir_ltr_b_Public_Health_Impacts_of_Wildfire_Smoke_Exposure_Analysis_of_Respiratory-Related_Medicaid_Claims_in_Wyoming_b_p_/30920846

命令行下载

curl -L -o "Episode_Level_Paired_Analysis_Claims_vs_Post7.xlsx" "https://ndownloader.figshare.com/files/60512396"
curl -L -o "SmokeExposure_RespClaims_EpisodeAnalysis_RMarkdown.docx" "https://ndownloader.figshare.com/files/60512399"

文件清单

• Episode_Level_Paired_Analysis_Claims_vs_Post7.xlsx（160.62 KB）
• SmokeExposure_RespClaims_EpisodeAnalysis_RMarkdown.docx（26.14 KB）

文件总体积 186.77 KB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Research Question: Does the rate of respiratory claims in the seven days immediately following a wildfire smoke episode significantly exceed the claims rate during the acute exposure period? The hypothesis posits that structural barriers inherent to frontier healthcare suppress immediate claims demand, resulting in a predictable lagged effect.
Methods: Daily respiratory claims data were analyzed across 23 Wyoming counties during the 2012-2024 wildfire seasons. The primary analytical approach employed a Negative Binomial Generalized Mixed-Effects Model with county-level fixed effects to compare the incidence rate of claims during the smoke episode (the exposure period) with that during the subsequent seven-day post-episode period.
Results: The analysis revealed a massive and statistically significant increase in claims following the smoke events. Specifically, the claims rate in the seven days post-episode was 5.02 times higher (Incidence Rate Ratio = 5.02; p Conclusion: The observed surge in claims is interpreted as the release of suppressed demand, driven by the intersection of Particulate Matter 2.5’s biological latency and the overwhelming structural barriers (e.g., rural access, lack of transportation) faced by Medicaid recipients. This research mandates a paradigm shift from acute crisis response to a lag-adjusted preparedness model, requiring public health systems to implement Targeted Post-occurrence Outreach and proactive structural interventions to mitigate this preventable surge in post-event healthcare utilization.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.30920846.v1（source: https://figshare.com/articles/dataset/_p_dir_ltr_b_Public_Health_Impacts_of_Wildfire_Smoke_Exposure_Analysis_of_Respiratory-Related_Medicaid_Claims_in_Wyoming_b_p_/30920846）。