预测疫苗犹的现代方法:范围审查
medRxiv : the preprint server for health sciences
|February 20, 2025
概括
本范围审查分析了疫苗接种指数,该指数预测了按地区的疫苗接种率. 未来的研究应该整合各种数据和方法,以改善疫情防控和疫苗接种活动.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
背景情况:
- 传染病不成比例地影响弱势群体,增加了流行病风险.
- 疫苗接种率指数是根据地理空间区域预测疫苗接种率的模型.
- 在COVID-19大流行期间出现了新的指数,需要进行文献审查.
研究的目的:
- 进行疫苗吸收指数的范围审查.
- 分析针对COVID-19和其他传染病开发的新型指数.
- 确定研究缺口,并建议未来的疫苗接种指数发展方向.
主要方法:
- 在 Embase,PubMed 和 Web of Science 的系统文献搜索.
- 标题/摘要选,全文审查和数据提取.
- 分析了229份报告,重点关注疫苗接种率指数的方法进步.
主要成果:
- 15项研究 (7%) 包含了先进的方法指数.
- 先进的指数使用个人/人口预测指标,地理空间时间分析,疫苗不可知数据或社会行为框架.
- 共同特征包括预测变量 (44%) 和地理空间时间分析 (25%).
结论:
- 未来的疫苗接种指数需要整合个人和行政数据.
- 开发小面积的时空分析和疫苗不可知论方法至关重要.
- 理论框架可以增强疫苗接种运动的因果推断.
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