Advance Warning and Response Systems in Kenya: A Scoping Review.

Lisa M Were, Jenifer A Otieno, Moriasi Nyanchoka, Perpetua W Karanja, Dalmas Omia, Philip Ngere, Eric Osoro, M Kariuki Njenga, Mercy Mulaku, Isaac Ngere
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Abstract

Introduction: Infectious diseases (IDs) cause approximately 13.7 million deaths globally. The Kenyan Advance Warning and Response Systems (AW&RS) against ID outbreaks is a core capacity of the 2005 International Health Regulations and a key indicator of health security. We mapped evidence on Kenya's AW&RS and their enablers, and barriers for successfully detecting IDs, including climate-sensitive IDs.

Methods: We searched Cochrane Library, MEDLINE, EMBASE, Web of Science, Africa Index Medicus, and SCOPUS before August 26th, 2024. We also searched for grey literature on the Google Scholar search engine alongside the main repositories of Kenyan Universities. Two independent reviewers conducted study selection, while one reviewer extracted data. Discrepancies were resolved through discussion. Results were synthesised narratively and thematically.

Results: The search yielded 4,379 records from databases and 1,363 articles from websites, university repositories, and citations; we included 166 articles in the analysis. Integrated Disease Surveillance and Response (IDSR) and cohort surveillance systems were the most common (37.2%). Most studies were concentrated in Nairobi County (25.7%) and reported on malaria (23.6%). Most systems (82.4%) monitored the disease burden and outbreaks using hospital-based data (35.1%) and automated alert mechanisms (27.7%). National bulletins report a temporal association between environmental factors and disease prevalence. Malaria, Rift Valley Fever (RVF), and cholera cases increased with higher precipitation, lower temperatures and increased vegetative index. AW&RS used the accuracy and reliability of the model prediction to measure the system's performance. Effectiveness was evaluated based on system acceptability and timeliness. Health system factors were predominant, with 121 enablers and 127 barriers. Key enablers included skilled personnel (13 studies), whereas inadequate finances were a major barrier (21 studies).

Conclusion: Most AW&RS were IDSR and cohort-based surveillance. Climate changes have resulted in observed trends in diseases such as malaria and RVF, but further studies are needed to determine causal links. Insufficient funding hinders the effective implementation of AW&RS. Future research should assess the cost drivers influencing system effectiveness.

肯尼亚的预警和反应系统:范围审查。
传染病(IDs)导致全球约1370万人死亡。肯尼亚针对传染病暴发的预警和反应系统(AW&RS)是2005年《国际卫生条例》的一项核心能力,也是卫生安全的一个关键指标。我们绘制了肯尼亚AW&RS及其促成因素的证据,以及成功检测身份证(包括气候敏感身份证)的障碍。方法:检索2024年8月26日之前的Cochrane Library、MEDLINE、EMBASE、Web of Science、Africa Index Medicus和SCOPUS。我们也在谷歌学者搜寻引擎上搜寻灰色文献,旁边是肯亚大学的主要资料库。两名独立审稿人进行研究选择,一名审稿人提取数据。分歧通过讨论解决了。结果是综合叙述和主题。结果:从数据库中检索到4379条记录,从网站、大学知识库和引文中检索到1363篇文章;我们在分析中纳入了166篇文章。综合疾病监测和反应(IDSR)和队列监测系统最常见(37.2%)。大多数研究集中在内罗毕县(25.7%),报告的是疟疾(23.6%)。大多数系统(82.4%)使用基于医院的数据(35.1%)和自动警报机制(27.7%)监测疾病负担和疫情。国家公报报告了环境因素与疾病流行之间的时间关联。疟疾、裂谷热和霍乱病例随着降水增多、气温降低和植被指数增加而增加。AW&RS利用模型预测的准确性和可靠性来衡量系统的性能。根据系统的可接受性和及时性来评估有效性。卫生系统因素占主导地位,有121个促进因素和127个障碍因素。关键促成因素包括技术人员(13项研究),而资金不足是主要障碍(21项研究)。结论:AW&RS以IDSR和队列监测为主。气候变化已导致疟疾和裂谷热等疾病出现已观察到的趋势,但需要进一步研究以确定因果关系。资金不足阻碍了AW&RS的有效实施。未来的研究应评估影响系统有效性的成本驱动因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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