| Literature DB >> 33571138 |
Jean B Nachega1,2,3,4, Rhoda Atteh5, Chikwe Ihekweazu6, Nadia A Sam-Agudu7,8,9, Prisca Adejumo10, Sabin Nsanzimana11, Edson Rwagasore11, Jeanine Condo12,13, Masudah Paleker14,15, Hassan Mahomed14,15, Fatima Suleman16, Alex Riolexus Ario17, Elsie Kiguli-Malwadde18, Francis G Omaswa18, Nelson K Sewankambo19, Cecile Viboud20, Michael J A Reid21, Alimuddin Zumla22,23, Peter H Kilmarx20.
Abstract
Most African countries have recorded relatively lower COVID-19 burdens than Western countries. This has been attributed to early and strong political commitment and robust implementation of public health measures, such as nationwide lockdowns, travel restrictions, face mask wearing, testing, contact tracing, and isolation, along with community education and engagement. Other factors include the younger population age strata and hypothesized but yet-to-be confirmed partially protective cross-immunity from parasitic diseases and/or other circulating coronaviruses. However, the true burden may also be underestimated due to operational and resource issues for COVID-19 case identification and reporting. In this perspective article, we discuss selected best practices and challenges with COVID-19 contact tracing in Nigeria, Rwanda, South Africa, and Uganda. Best practices from these country case studies include sustained, multi-platform public communications; leveraging of technology innovations; applied public health expertise; deployment of community health workers; and robust community engagement. Challenges include an overwhelming workload of contact tracing and case detection for healthcare workers, misinformation and stigma, and poorly sustained adherence to isolation and quarantine. Important lessons learned include the need for decentralization of contact tracing to the lowest geographic levels of surveillance, rigorous use of data and technology to improve decision-making, and sustainment of both community sensitization and political commitment. Further research is needed to understand the role and importance of contact tracing in controlling community transmission dynamics in African countries, including among children. Also, implementation science will be critically needed to evaluate innovative, accessible, and cost-effective digital solutions to accommodate the contact tracing workload.Entities:
Mesh:
Year: 2021 PMID: 33571138 PMCID: PMC8045625 DOI: 10.4269/ajtmh.21-0033
Source DB: PubMed Journal: Am J Trop Med Hyg ISSN: 0002-9637 Impact factor: 2.345
Figure 1.Epidemic curve for confirmed COVID-19 cases in Nigeria, as of December 30, 2020. Source: Nigeria CDC.[10] This figure appears in color at
Contact tracer workforce for COVID-19 response in Nigeria, Rwanda, South Africa, and Uganda[10,13,15,17]
| Country | Contact tracer characteristics | Challenges | Solutions |
|---|---|---|---|
| Nigeria | Type: CHWs | Stigma and misinformation | Ongoing communication to communities in local languages using multiple platforms and multiple trusted voices |
| Contact-to-case ratio: 2 | Mistrust of political entities | Addressing fake news through trusted, authoritative public health voices and daily myth- busters | |
| Number/estimates nationwide (per state): average (range): 111 (30–304) | Overwhelming load of contact tracing and case detection workload for healthcare workers | Decentralization of screening and PCR testing by expanding capacity of existing laboratories and activating new PCR laboratories in every state | |
| % of tests positive (daily average) in January 2021: 7% in suspected cases; 11% in all contacts | Limited testing capacity | Further expansion of human resources and leveraging on partner funding and support | |
| Payment: no | Poor adherence to quarantine and isolation | ||
| Other incentives: stipends, training, certificates, and jackets | |||
| Rwanda | Type: volunteers and students | ||
| Contact-to-case ratio: 4 | Perceived and enacted stigma | Scale up community COVID-19 sensitization and barrier measures in public places involving both public and private authorities | |
| Number of contact tracers: 8/100,000 population | Overwhelming load of contact tracing and case detection workload for healthcare workers | Leveraging information technology to complement traditional contact tracing methods | |
| % of tests positive (daily average) in January 2021: 1.4 and 2% in contacts | Group of people (elderly) not able to remember all contacts | ||
| Payment: no | |||
| Other incentives: transport, phone communication, training, and refreshments | |||
| South Africa (Western Cape Province) | Type: varying categories including CHWs and volunteers | Staff anxiety for their risk of SARS-CoV-2 infection | Building local capacity to produce personal protective equipment |
| Contact-to-case ratio: 3 | Underutilization of quarantine facilities due to enacted stigma, fear of in-facility property loss, and unwillingness to isolate away from family | Education and ongoing communication to communities in local languages using multiple platforms, multiple players | |
| Number of contact tracers: 3/100,000 population | Overwhelming load of contact tracing and case detection workload for healthcare workers | Decentralized contact tracing activities and leverage of telephone contact tracing approach | |
| % of tests positive in suspected cases (daily average): at 1st peak high (July 2020) = 41%; between peak low (October 2020) = 4%; at 2nd peak high (January 2021) = 51% | Need for digital platform to host and share data across jurisdictions. | ||
| Payment: no—if volunteers, some already working for Department of health, but no extra payment given | |||
| Other incentives: training and reimbursement of calling costs incurred | |||
| Uganda | Type: CHWs, volunteers, students, and epidemiologists | Overwhelming load for contact tracing workforce and case detection workload for healthcare workers | Decentralized contact tracing activities to local health teams |
| Number of contact tracers: 186/100,000 population | Stigma | Community engagement and establishment of COVID-19 in every village across the country | |
| Contact-to-case ratio: 6 | |||
| % of tests positive (daily average): 10% in suspected cases. | |||
| Payment: no | |||
| Other incentives: stipends, training, certificates, T-shirts, badges/calendars, and study tour |
CHWs = community healthcare workers (includes community health extension workers and community health officers).
Figure 2.Epidemic curve for confirmed COVID-19 cases in Rwanda, as of December 30, 2020. Source: Ministry of Health, Rwanda Biomedical Centre.[13] This figure appears in color at
Figure 3.(A) Epidemic curve and contact tracing program. The start dates of the different phases of the lockdown are indicated (phases 5 to 1, 5 being the most stringent). Source: South African Department of Health (SA-DOH).[15] (B) Contact tracing program. The start dates of the different phases of the lockdown are indicated (phases 5 to 1, 5 being the most stringent). Source: SA-DOH.[15] This figure appears in color at
Figure 4.Epidemic curve for confirmed COVID-19 cases in Uganda, as of December 30, 2020.[16] This figure appears in color at