Factors influencing uptake of COVID-19 diagnostics in Sub-Saharan Africa: a rapid scoping review

Mackwellings Maganizo Phiri1,2, Yasmin Dunkley3, Elizabeth Di Giacomo4

  • 1Department of Social Science, Malawi Liverpool Wellcome Programme, Blantyre, Malawi.

Plos One
|March 20, 2025
PubMed

Insights

Low COVID-19 testing uptake in Sub-Saharan Africa was influenced by structural, social, and political factors. Community-led self-testing can improve diagnostic access by overcoming barriers to facility-based services.

Area of Science:

  • Public Health
  • Epidemiology
  • Health Systems Research

Background:

  • COVID-19 diagnostics are crucial for transmission control and disease management.
  • Testing uptake was low in Sub-Saharan Africa (SSA) due to supply, access, and acceptability issues.
  • Limited regional research exists on factors influencing COVID-19 testing uptake in SSA.

Purpose of the Study:

  • To conduct a scoping review of factors influencing COVID-19 testing uptake in SSA.
  • To systematically investigate the barriers and facilitators of diagnostic test utilization in the region.

Main Methods:

  • Qualitative and mixed-methods studies on COVID-19 testing uptake in SSA were included.
  • Searches were conducted across major scientific databases (MEDLINE, PubMed, Google Scholar, Web of Science, Africa-Wide Information).
  • Thematic content analysis was performed on fourteen selected articles until data saturation.

Main Results:

  • Structural, social, epidemiological, informational, and political factors impacted testing uptake.
  • Limited diagnostic capacity, misinformation, fear of social harm, and inaccessibility of facilities were key barriers.
  • Community-based self-testing improved access and reduced stigma, while political endorsement boosted public confidence.

Conclusions:

  • Strengthening health systems and political commitment are vital for pandemic preparedness.
  • Intervention strategies must consider regional contextual factors influencing public response.
  • Community-driven self-testing models can enhance diagnostic uptake by addressing socio-economic barriers.
Abstract