从2000年到2022年爆发期间的伤寒发病率的时间序列数据
Dae-Hyup Koh1,2, Monica Duong1,3, Nodar Kipshidze4
1Epidemiology, Public Health, Impact, International Vaccine Institute, Seoul, Korea.
Scientific data
|January 17, 2025
概括
这项研究汇编了2000-2022年台风疫情数据,为传染病建模创建时间序列数据集. 本资源有助于制定控制策略和优化伤寒热的公共卫生干预措施.
科学领域:
- 流行病学 流行病学
- 传染病建模 传染病建模
- 公共卫生 公共卫生
背景情况:
- 伤寒热仍然是一个重要的全球健康问题,需要强大的数据来有效控制.
- 准确和全面的流行病学数据对于了解疾病动态和规划干预措施至关重要.
研究的目的:
- 呈现一个全面的,时间序列数据集,从2000年至2022年培养确认的伤寒热病爆发.
- 为研究人员和政策制定者提供一个基础资源,以制定伤寒控制策略.
- 促进优化疫苗接种活动和公共卫生规划.
主要方法:
- 在PubMed,OVID-Medline和OVID-Embase的系统文献搜索,寻找同行评审的研究.
- 使用WebPlotDigitizer提取每日,每周和每月时间序列发病率数据.
- 通过子集验证进行数据验证,以确保准确性和可靠性.
主要成果:
- 一个策划数据集的伤寒热病爆发跨越2000-2022,分类为每日,每周和每月的时间系列.
- 详细描述了数据编制和质量保证的方法.
- 该数据集为传染病建模和公共卫生领域的各种应用提供了潜力.
结论:
- 汇编的数据集代表了推进伤寒研究和控制工作的宝贵资源.
- 这些数据可以为基于证据的疫苗接种,公共卫生规划和有针对性的干预策略提供信息.
- 这项研究有助于通过改善数据可用性和可访问性来加强全球伤寒控制措施.
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