The COVID-19 pandemic has been marked by a massive death toll. However, the overall effect of the pandemic, including potential unintended negative impacts of some control measures, on mortality remains poorly understood in low-income and lower middle-income countries (LLMICs). This review aims to summarise the available literature on excess mortality in LLMICs, focusing on the methods and data sources used in estimating excess mortality and the drivers of excess mortality.

We will review the available literature and report results in line with the Preferred Reporting Items for Systematic Review and Meta-Analysis. Searches will be conducted in PubMed, Embase, Web of Science, Cochrane Library, Google Scholar and Scopus. All published studies that report on the estimates of excess mortality in populations of LLMICs will be included. This will include those with a publication date from 2019 onwards and those with at least a 1-year non-COVID-19 period as the comparator in the estimation of excess mortality during the pandemic. There will be no language restrictions on the search. The meta-analysis will include studies with extractable data on excess mortality, methods, population size, and observed and expected deaths. We will use the Mantel-Haenszel method to estimate the pooled risk ratio with 95% CIs.

As there is no primary data collection, there is no requirement for ethical review. The results will be disseminated through peer-reviewed journal publication and conference presentations.

CRD42022378267.

Countries in the WHO’s African region have found community-based surveillance useful in ensuring the effectiveness of the Integrated Disease Surveillance and Response strategy. This approach encourages community participation in the surveillance system, in addition to early detection of outbreaks and other health threats. Thus, advancements in mobile health have the potential to improve community-based surveillance in Africa. The purpose of this review is to map evidence on available mhealth tools for community-based infectious disease surveillance in Africa.

The scoping review will follow a mixed-methods approach in line with the framework of Arksey and O’Malley amended by Levac and colleagues and the Joanna Briggs Institute. To retrieve published literature, PubMed, Scopus, Web of Science, Google Scholar and Google databases will be explored. Websites of organisations involved in surveillance activities across the African region will also be explored. Authors will be interested in published literature between 2000 and 2022 in any language. The primary investigator and a second author will independently review the retrieved titles according to the inclusion criteria, while a third reviewer will resolve conflicts that may arise. The review will map evidence according to the key concepts (mhealth, community-based surveillance and Africa) to inform stakeholders and mhealth designers on best practices to adopt involving mhealth approaches at the community level and mhealth tool designs, respectively. Results following the review will be presented according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses: Extension for Scoping Review Guidelines.

Ethical approval is not required for scoping reviews as it does not involve the use of human subjects. This review is the first phase in an overall project on digital health. The findings of the review will be published in a peer-reviewed journal and disseminated at suitable forums and conferences.