Twenty years of integrated disease surveillance and response in Sub-Saharan Africa: challenges and opportunities for effective management of infectious disease epidemics.

Irene R Mremi, Janeth George, Susan F Rumisha, Calvin Sindato, Sharadhuli I Kimera, Leonard E G Mboera
{"title":"Twenty years of integrated disease surveillance and response in Sub-Saharan Africa: challenges and opportunities for effective management of infectious disease epidemics.","authors":"Irene R Mremi,&nbsp;Janeth George,&nbsp;Susan F Rumisha,&nbsp;Calvin Sindato,&nbsp;Sharadhuli I Kimera,&nbsp;Leonard E G Mboera","doi":"10.1186/s42522-021-00052-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>This systematic review aimed to analyse the performance of the Integrated Disease Surveillance and Response (IDSR) strategy in Sub-Saharan Africa (SSA) and how its implementation has embraced advancement in information technology, big data analytics techniques and wealth of data sources.</p><p><strong>Methods: </strong>HINARI, PubMed, and advanced Google Scholar databases were searched for eligible articles. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols.</p><p><strong>Results: </strong>A total of 1,809 articles were identified and screened at two stages. Forty-five studies met the inclusion criteria, of which 35 were country-specific, seven covered the SSA region, and three covered 3-4 countries. Twenty-six studies assessed the IDSR core functions, 43 the support functions, while 24 addressed both functions. Most of the studies involved Tanzania (9), Ghana (6) and Uganda (5). The routine Health Management Information System (HMIS), which collects data from health care facilities, has remained the primary source of IDSR data. However, the system is characterised by inadequate data completeness, timeliness, quality, analysis and utilisation, and lack of integration of data from other sources. Under-use of advanced and big data analytical technologies in performing disease surveillance and relating multiple indicators minimises the optimisation of clinical and practice evidence-based decision-making.</p><p><strong>Conclusions: </strong>This review indicates that most countries in SSA rely mainly on traditional indicator-based disease surveillance utilising data from healthcare facilities with limited use of data from other sources. It is high time that SSA countries consider and adopt multi-sectoral, multi-disease and multi-indicator platforms that integrate other sources of health information to provide support to effective detection and prompt response to public health threats.</p>","PeriodicalId":19490,"journal":{"name":"One Health Outlook","volume":"3 1","pages":"22"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8575546/pdf/","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"One Health Outlook","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s42522-021-00052-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19

Abstract

Introduction: This systematic review aimed to analyse the performance of the Integrated Disease Surveillance and Response (IDSR) strategy in Sub-Saharan Africa (SSA) and how its implementation has embraced advancement in information technology, big data analytics techniques and wealth of data sources.

Methods: HINARI, PubMed, and advanced Google Scholar databases were searched for eligible articles. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols.

Results: A total of 1,809 articles were identified and screened at two stages. Forty-five studies met the inclusion criteria, of which 35 were country-specific, seven covered the SSA region, and three covered 3-4 countries. Twenty-six studies assessed the IDSR core functions, 43 the support functions, while 24 addressed both functions. Most of the studies involved Tanzania (9), Ghana (6) and Uganda (5). The routine Health Management Information System (HMIS), which collects data from health care facilities, has remained the primary source of IDSR data. However, the system is characterised by inadequate data completeness, timeliness, quality, analysis and utilisation, and lack of integration of data from other sources. Under-use of advanced and big data analytical technologies in performing disease surveillance and relating multiple indicators minimises the optimisation of clinical and practice evidence-based decision-making.

Conclusions: This review indicates that most countries in SSA rely mainly on traditional indicator-based disease surveillance utilising data from healthcare facilities with limited use of data from other sources. It is high time that SSA countries consider and adopt multi-sectoral, multi-disease and multi-indicator platforms that integrate other sources of health information to provide support to effective detection and prompt response to public health threats.

Abstract Image

Abstract Image

撒哈拉以南非洲20年的综合疾病监测和应对:有效管理传染病流行病的挑战和机遇。
引言:本系统综述旨在分析撒哈拉以南非洲(SSA)综合疾病监测和应对(IDSR)战略的绩效,以及其实施如何包含信息技术、大数据分析技术和丰富数据源的进步。方法:检索HINARI、PubMed和高级Google Scholar数据库中符合条件的文章。该综述遵循了系统综述和荟萃分析方案的首选报告项目。结果:共有1809篇文章在两个阶段被识别和筛选。45项研究符合纳入标准,其中35项针对具体国家,7项涉及SSA地区,3项涉及3-4个国家。26项研究评估了IDSR的核心职能,43项评估了支持职能,24项评估了这两项职能。大多数研究涉及坦桑尼亚(9)、加纳(6)和乌干达(5)。从医疗机构收集数据的常规健康管理信息系统(HMIS)一直是IDSR数据的主要来源。然而,该系统的特点是数据的完整性、及时性、质量、分析和利用不足,以及缺乏对其他来源数据的整合。在进行疾病监测和相关多个指标时,未充分使用先进的大数据分析技术,最大限度地减少了临床和实践循证决策的优化。结论:本综述表明,SSA中的大多数国家主要依赖传统的基于指标的疾病监测,利用医疗机构的数据来自其他来源的数据。SSA国家现在应该考虑并采用多部门、多疾病和多指标平台,整合其他卫生信息来源,为有效发现和及时应对公共卫生威胁提供支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信