Public health-relevant consequences of the COVID-19 pandemic on malaria in sub-Saharan Africa: a scoping review

  1. Anna-Katharina Heuschen
  2. Guangyu Lu
  3. Oliver Razum
  4. Alhassan Abdul-Mumin
  5. Osman Sankoh
  6. Lorenz von Seidlein
  7. Umberto D’Alessandro
  8. Olaf Müller

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Abstract

Background

The COVID-19 pandemic has resulted in unprecedented challenges to health systems worldwide, including the control of non-COVID-19 diseases. Malaria cases and deaths may increase due to the direct and indirect effects of the pandemic in malaria-endemic countries, particularly in sub-Saharan Africa (SSA). This scoping review aims to summarize information on public health-relevant effects of the COVID-19 pandemic on the malaria situation in SSA.

Methods

Review of publications and manuscripts on preprint servers, in peer-reviewed journals and in grey literature documents from 1 December, 2019 to 9 June, 2021. A structured search was conducted on different databases using predefined eligibility criteria for the selection of articles.

Results

A total of 51 papers have been included in the analysis. Modelling papers have predicted a significant increase in malaria cases and malaria deaths in SSA due to the effects of the COVID-19 pandemic. Many papers provided potential explanations for expected COVID-19 effects on the malaria burden; these ranged from relevant diagnostical and clinical aspects to reduced access to health care services, impaired availability of curative and preventive commodities and medications, and effects on malaria prevention campaigns. Compared to previous years, fewer country reports provided data on the actual number of malaria cases and deaths in 2020, with mixed results. While highly endemic countries reported evidence of decreased malaria cases in health facilities, low endemic countries reported overall higher numbers of malaria cases and deaths in 2020.

Conclusions

The findings from this review provide evidence for a significant but diverse impact of the COVID-19 pandemic on malaria in SSA. There is the need to further investigate the public health consequences of the COVID-19 pandemic on the malaria burden.

Protocol registered on Open Science Framework: https://doi.org/10.17605/OSF.IO/STQ9D

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  1. Version published to 10.1186/s12936-021-03872-2
  2. Version published to 10.1101/2021.06.17.21258914v2 on medRxiv
  3. ScreenIT

    SciScore for 10.1101/2021.06.17.21258914: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Grey literature was included using WHO database and Google Scholar.
    Google Scholar
    suggested: (Google Scholar, RRID:SCR_008878)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    Results from scite Reference Check: We found no unreliable references.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  4. Version published to 10.1101/2021.06.17.21258914v1 on medRxiv