儿童群体感染性腹疾病的预测建模:系统性审查
Billy Ogwel1,2, Vincent Mzazi2, Bryan O Nyawanda1
1Kenya Medical Research Institute, Center for Global Health Research (KEMRI-CGHR) Kisumu Kenya.
Learning health systems
|January 22, 2024
概括
儿童腹的预测建模至关重要,但发展不足. 本次审查强调了研究中的差距,特别是在疾病预测和结果预测方面,呼吁改善儿科传染性腹研究的方法和报告标准.
科学领域:
- 儿童传染病 儿童传染病
- 流行病学建模的流行病学建模.
- 公共卫生研究 公共卫生研究
背景情况:
- 腹仍然是一个重要的全球公共卫生问题.
- 目前对儿童腹疾病预测结果的预测建模的研究尚未得到系统评估.
- 本综述解决了对目前儿童群体感染性腹的预测建模方法进行全面评估的需要.
研究的目的:
- 系统地审查和评估现有关于儿童群体传染性腹疾病预测建模的研究.
- 确定当前的建模领域,方法和常用技术.
- 突出知识差距和未来研究的机会.
主要方法:
- 使用PubMed (1990-2021) 进行了一项系统的文献审查.
- 搜索术语专注于对人类受试者 (0-18岁儿童) 腹的预测建模和英语出版物.
- 在包括的38篇文章中进行了叙事综合.
主要成果:
- 该审查包括38篇文章,其中大多数是在2011-2020年之间发表的.
- 主要研究领域包括疾病预测 (36.8%),疫苗相关预测 (23.7%) 和病原体检测 (13.2%).
- 机器学习 (31.6%) 是最常见的建模技术,但报告中的不一致性和研究不足的结果被注意到.
结论:
- 在儿童腹疾病的预测建模中存在显著的知识差距,特别是在疾病预测和结果预测方面.
- 机遇在于开发特定病原体的模型,并解决研究不足的结果.
- 提高报告的一致性和遵守指导方针对于推动该领域未来研究至关重要.
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