ABSTRACT

Background: According to the World Health Organization (WHO), the outbreak of coronavirus disease in 2019 (COVID-19) has been declared as pandemic and public health emergency that infected more than 5 million people worldwide at the time of writing this protocol. Strong evidence for the burden, admission, and outcome of COVID-19 has not been published in Africa. Therefore, this protocol will be served as a guideline to conduct a systematic review and meta-analysis of the burden, admission, and outcome of COVID-19 in Africa. Methods: Published and unpublished studies on the burden, admission, and outcome of COVID-19 in Africa and written in any language will be included. Databases (PubMed / MEDLINE, Google Scholar, Google, EMBASE, Web of Science, Microsoft Academic, WHO COVID-19 database, Cochran Library, Africa Wide Knowledge, and Africa Index Medicus) from December 2019 to May 2020 will be searched. Two independent reviewers will select, screen, extract data, and assess the risk of bias. The proportion will be measured using a random-effects model. Subgroup analysis will be conducted to manage hetrogeinity. The presence of publication bias will be assessed using Egger's test and visual inspection of the funnel plots. This systematic and meta-analysis review protocol will be reported per the PRISMA-P guidelines. Conclusion: This systematic review and meta-analysis protocol will be expected to quantify the burden, admission, and outcome of COVID-19 in Africa. Systematic review registration: This protocol was submitted for registration with the International Prospective Register of Systematic Reviews (PROSPERO) in March 2020 and accepted with the registration number: CRD42020179321(https://www.crd.york.ac.uk/PROSPERO).

摘要

背景：根据世界卫生组织（WHO）的资料，在编写此协议时，已宣布2019年冠状病毒疾病爆发（COVID-19）为大流行和公共卫生突发事件，已感染了全球500万人。非洲尚未发表有关COVID-19负担，收治和结果的有力证据。因此，该协议将作为对非洲COVID-19的负担，入院和结果进行系统回顾和荟萃分析的指南。方法：将包括关于COVID-19在非洲的负担，收治和结果的已发表和未发表的研究，并且将以任何语言编写。将搜索2019年12月至2020年5月之间的数据库（PubMed / MEDLINE，Google Scholar，Google，EMBASE，Web of Science，Microsoft Academic，WHO COVID-19数据库，Cochran图书馆，African Wide Knowledge和Africa Index Medicus）。两名独立的审阅者将选择，筛选，提取数据并评估偏差的风险。该比例将使用随机效应模型进行测量。将进行亚组分析以处理异质性。将使用Egger检验和漏斗图的目视检查来评估发布偏倚的存在。将根据PRISMA-P指南报告此系统的荟萃分析审查方案。结论：有望通过这项系统的审查和荟萃分析方案来量化非洲COVID-19的负担，入院率和结果。系统评价注册：该方案已于2020年3月提交给国际系统评价预期登记册（PROSPERO）进行注册，并被接受，注册号为CRD42020179321（https://www.crd.york.ac.uk/PROSPERO）。