巴西登革热影响因素的时空数据集基于地理空间大数据云计算
Qixu Zhu1,2, Zhichao Li3, Jinwei Dong1
1Key Laboratory for Resource Use and Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Scientific data
|April 29, 2025
概括
研究人员为巴西创建了一套登革热风险因素数据集,以改善疾病预测. 这些可访问的数据有助于了解传播动态,并有助于公共卫生努力打击登革热.
科学领域:
- * * 公共卫生 公共卫生
- * 流行病学 流行病学
- * 环境科学 环境科学
背景情况:
- *登革热是一种迅速蔓延的全球性疾病,在巴西流行率很高.
- * 疾病传播受到载体动态,人与病原体相互作用和环境因素的影响.
- * 现有的环境指标数据收集方法在空间上有限,耗时,阻碍了大规模研究.
研究的目的:
- * 应对登革热传播研究数据可访问性的挑战.
- * 为多因素数据集开发高效的数据整合方法.
- * 改进登革热风险预测模型并协助公共卫生当局.
主要方法:
- * 开发了12个登革热风险因素的人口加权数据集.
- *数据涵盖了巴西558个小区域,跨越1252个流行病学周 (2001-2024年).
- * 旨在简化数据处理和适应其他载体传播疾病的方法.
主要成果:
- *为巴西创建了一个全面的,公开可访问的登革热风险因素数据集.
- * 数据集整合了多种环境和流行病学因素.
- * 该方法简化了用于大规模载体传播疾病研究的数据处理.
结论:
- *开发的数据集和方法有助于更好地了解登革热传播动态.
- * 本资源有助于公共卫生当局提高登革热风险预测.
- *这种方法可以适应在全球范围内研究其他载体传播疾病.
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