Community-Based COVID-19 Surveillance and Antimicrobial Use During the Pandemic: Implications for Pandemic Preparedness and Antimicrobial Resistance Control in Nigeria

Oliver Uchechukwu Okwor

Abstract

The COVID-19 pandemic in Nigeria was associated with unprecedented challenges, including limited surveillance infrastructure, limited laboratory capacity, and a concurrent high burden of antimicrobial resistance. Patterns and community-based surveillance methods used during the pandemic have significant implications for future pandemic preparedness and antimicrobial stewardship.

This systematic review synthesised evidence on community-based COVID-19 surveillance systems, antimicrobial use patterns during the pandemic, factors influencing implementation to enhance surveillance effectiveness, and implications for pandemic preparedness and antimicrobial resistance control in Nigeria.

The researchers conducted a systematic review in accordance with the PRISMA 2020 guidelines. They searched electronic databases (PubMed, African Index Medicus, Web of Science, AJOL, and Google Scholar) from January 2020 to December 2023. They included studies conducted in Nigeria on community-based COVID-19 surveillance, antimicrobial use in managing COVID-19, implementation science, and health system capacity. They assessed study quality using the ROBINS-I tool and synthesised the data through narrative synthesis and thematic analysis.

The researchers included 28 studies involving 24 health facilities and 32 communities across six geopolitical regions in Nigeria. They introduced community-based surveillance systems at 71% of observable sites, with case detection rates ranging from 34% to 82% of known cases. Surveillance completeness, however, was not high: 41% had ≥90% completeness for key variables. The researchers found that antimicrobial use during COVID-19 was suboptimal: clinicians treated 78% of COVID-19 patients with antimicrobials despite the infection being viral, prescribed them for a mean duration of 8.3 days (compared with the typical 3–5 days), and used non-recommended antimicrobials in 64% of cases. They also observed that CHWs participated in 68% of surveillance systems, but programme managers provided inconsistent training and support. The researchers identified major obstacles, including insufficient funding (reported by 86% of sites), limited laboratory capacity (71%), inadequate surveillance infrastructure (79%), weak inter-facility communication (68%), and CHW dropouts (58%). They further reported health inequalities, with rural case detection rates 64% lower than those in urban areas. Finally, they found that antimicrobial resistance increased significantly between 2020 and 2023, with fluoroquinolone resistance in gram-negative organisms rising to 61% in 2023, up from 38% in 2019.

Community-based COVID-19 surveillance in Nigeria demonstrated potential but faced serious challenges in implementation and sustainability. Improper use of antimicrobials during the pandemic would likely have contributed to the increase in antimicrobial resistance. To prepare and sustain a Nigerian response to future pandemics, the nation needed: 1) A long-term investment in community-based surveillance infrastructure that will include CHW support; 2) Effective antimicrobial stewardship programs coupled with pandemic response; 3) Enhanced laboratory capacity at both community and facility levels; 4) Express focus on health equity in the design and implementation of surveillance systems; 5) Mechanisms of inter-facility data-sharing. Health systems can integrate surveillance and antimicrobial stewardship to achieve dual benefits: improving pandemic response and reducing antimicrobial resistance.



Keywords


community-based surveillance; antimicrobial resistance; Nigeria; pandemic preparedness; health systems; implementation science

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References


1. Abdallah, M., Meanazel, O. A., Alruwaili, M., & AlRasheed, H. (2025). Healthcare workers' knowledge, awareness, and practices regarding antimicrobial use, resistance, and stewardship in Saudi Arabia. Infection and Drug Resistance,18, 6035–6050. doi: 10.2147/idr.s566247

2. Abubakar, M. M., Loosli, K., Isah, A., Usman, M., Fatokun, O., Amidu, I., Ibrahim, Y., Ijaiya, M. D., & Ukoha-Kalu, B. O. (2023). Assessing the impact of COVID-19 on prescription patterns and antibiotic use: Insights from three military health facilities. Research in Social and Administrative Pharmacy, 20(2), 157–162. doi: 10.1016/j.sapharm.2023.10.013

2. Adebisi, Y. A., Alaran, A. J., Bolarinwa, O. A., Akande-Sholabi, W., & Lucero-Prisno, D. E. (2021). When it is available, will we take it? Social media users' perception of a hypothetical COVID-19 vaccine in Nigeria. Pan African Medical Journal, 38, 230. doi: 10.11604/pamj.2021.38.230.27325

4. Adebisi, Y. A., Alaran, A. J., Okereke, M., Oke, G. I., Amos, O. A., Olaoye, O. C., Oladunjoye, I., Olanrewaju, A. Y., Ukor, N. A., & Lucero-Prisno, D. E. (2021). COVID-19 and antimicrobial resistance: a review. Infectious Diseases Research and Treatment, 14, 11786337211033870. doi: 10.1177/11786337211033870

5. Adewumi, I. P. (2025). Critical analysis of the infectious disease surveillance and response system in Nigeria. Discover Public Health, 22(1). doi: 10.1186/s12982-025-00668-6

6. Agwu, P., Ugwu, C. M., Eke, C. F., & FHI360/AHNi, U. N. (2020). Community engagement in COVID-19 responses: Evidence from qualitative interface with community opinion leaders in Enugu, Nigeria. ASEAN Journal of Community Engagement, 4(2). doi: 10.7454/ajce.v4i2.1115

7. Alabi, E. D., Rabiu, A. G., & Adesoji, A. T. (2025). A review of antimicrobial resistance challenges in Nigeria: The need for a one health approach. One Health, 20, 101053. doi: 10.1016/j.onehlt.2025.101053

8. Alamo, T., Reina, D. G., Gata, P. M., Preciado, V. M., & Giordano, G. (2021). Data-driven methods for present and future pandemics: Monitoring, modelling and managing. Annual Reviews in Control, 52, 448–464. doi: 10.1016/j.arcontrol.2021.05.003

9. Bloland, P. B., Kazembe, P. N., Oloo, A. J., Himonga, B., Barat, L. M., & Ruebush, T. K. (1998). Chloroquine in Africa: critical assessment and recommendations for monitoring and evaluating chloroquine therapy efficacy in sub‐Saharan Africa. Tropical Medicine & International Health, 3(7), 543–552. doi: 10.1046/j.1365-3156.1998.00270.x

10. CDC STACKS. (2020). Coronavirus Disease 2019 (COVID-19) in the U.S.: Updated March 12, 2020. Retrieved from https://stacks.cdc.gov/view/cdc/85827

11. Curran, G. M., Bauer, M., Mittman, B., Pyne, J. M., & Stetler, C. (2012). Effectiveness-implementation Hybrid designs. Medical Care, 50(3), 217–226. doi: 10.1097/mlr.0b013e3182408812

12. Damschroder, L. J., Aron, D. C., Keith, R. E., Kirsh, S. R., Alexander, J. A., & Lowery, J. C. (2009). Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implementation Science, 4(1), 50. doi: 10.1186/1748-5908-4-50

13. Elshenawy, R. A., Umaru, N., Alharbi, A. B., & Aslanpour, Z. (2023). Antimicrobial stewardship implementation before and during the COVID-19 pandemic in the acute care settings: a systematic review. BMC Public Health, 23(1), 309. doi: 10.1186/s12889-023-15072-5

14. Esther, J., Onyebuchi, O. B., Eugenia, O. E., Ann, O. C., Adamma, N. M., Chiaka, I. G., Omowumi, F., Odunke, N. S., Nkeiruka, F., & Blessing, U. I. (2025). Antimicrobial resistance in Nigeria's healthcare system: a comprehensive narrative review and policy implications. Discover Public Health, 22(1). doi: 10.1186/s12982-025-00859-1

15. Gyssens, I. C., & Wertheim, H. F. (2020). Editorial: Antimicrobial Stewardship in Low- and Middle-Income Countries. Frontiers in Public Health, 8, 617000. doi: 10.3389/fpubh.2020.617000

16. Herricks, J. R., Hotez, P. J., Wanga, V., Coffeng, L. E., Haagsma, J. A., Basáñez, M., Buckle, G., Budke, C. M., Carabin, H., Fèvre, E. M., Fürst, T., Halasa, Y. A., King, C. H., Murdoch, M. E., Ramaiah, K. D., Shepard, D. S., Stolk, W. A., Undurraga, E. A., Stanaway, J. D., Murray, C. J. L. (2017). The Global Burden of Disease Study 2013: What does it mean for the NTDs? PLoS Neglected Tropical Diseases, 11(8), e0005424. doi: 10.1371/journal.pntd.0005424

17. Higgins, J., Eldridge, S., & Li, T. (2019). Including Variants on Randomised Trials. In J. Higgins, J. Thomas, J. Chandler, M. Cumpston, T. Li, M. J. Page, & V. A. Welch, Cochrane Handbook for Systematic Reviews of Interventions (pp. 595-620). Cochrane Collaboration and John Wiley & Sons Ltd.

18. Hogan, A. B., Jewell, B. L., Sherrard-Smith, E., Vesga, J. F., Watson, O. J., Whittaker, C., Hamlet, A., Smith, J. A., Winskill, P., Verity, R., Baguelin, M., Lees, J. A., Whittles, L. K., Ainslie, K. E. C., Bhatt, S., Boonyasiri, A., Brazeau, N. F., Cattarino, L., Cooper, L. V., Hallett, T. B. (2020). Potential impact of the COVID-19 pandemic on HIV, tuberculosis, and malaria in low-income and middle-income countries: a modelling study. The Lancet Global Health, 8(9), 1132–e1141. doi: 10.1016/s2214-109x(20)30288-6

19. Kanungo, R. (2021). Antimicrobial resistance and the COVID -19 pandemic: A double threat. Indian Journal of Medical Microbiology, 39(4), 401. doi: 10.1016/j.ijmmb.2021.06.006

20. Kobia, F., & Gitaka, J. (2020). COVID-19: Are Africa's diagnostic challenges blunting the effectiveness of the response? AAS Open Research, 3, 4. doi: 10.12688/aasopenres.13061.1

21. Libwea, J. N., Ngwa, C. H., Ngomba, A. V., Wirsiy, F. S., Mpofu, L., Ndongo, C. B., Koulla-Shiro, S., Graham, S., Djieuya, L. P. T., Mandeng, N., Mballa, G. A. E., Sobh, E., Nwaru, B. I., Ndombo, P. K., & Epee, E. (2023). Antimicrobial stewardship in the era of the COVID-19 pandemic: A systematic review protocol on the opportunities and challenges for Sub-Saharan Africa. Medicine, 102(19), 33697. doi: 10.1097/md.0000000000033697

22. Maazou, A. A., Oumarou, B., Bienvenu, B., Anya, B. M., Didier, T., Ishagh, E. K., Nsiari-muzeyi, B. J., Katoto, P., & Wiysonge, C. S. (2021). Community-based surveillance contributes to the response to COVID-19 in Niger. Pan African Medical Journal, 40(88)

23. Marais, B. J., Lönnroth, K., Lawn, S. D., Migliori, G. B., Mwaba, P., Glaziou, P., Bates, M., Colagiuri, R., Zijenah, L., Swaminathan, S., Memish, Z. A., Pletschette, M., Hoelscher, M., Abubakar, I., Hasan, R., Zafar, A., Pantaleo, G., Craig, G., Kim, P., Zumla, A. (2013). Tuberculosis comorbidity with communicable and non-communicable diseases: integrating health services and control efforts. The Lancet Infectious Diseases, 13(5), 436–448. doi: 10.1016/s1473-3099(13)70015-x

24. Morrell, E. D., & Mikacenic, C. (2021). Differences Between Children and Adults with COVID-19: It's Right under Our Nose. American Journal of Respiratory Cell and Molecular Biology, 66(2), 122–123. doi: 10.1165/rcmb.2021-0455ed

25. Nouvellet, P., Bhatia, S., Cori, A., Ainslie, K. E. C., Baguelin, M., Bhatt, S., Boonyasiri, A., Brazeau, N. F., Cattarino, L., Cooper, L. V., Coupland, H., Cucunuba, Z. M., Cuomo-Dannenburg, G., Dighe, A., Djaafara, B. A., Dorigatti, I., Eales, O. D., Van Elsland, S. L., Nascimento, F. F., Donnelly, C. A. (2021). Reduction in mobility and COVID-19 transmission. Nature Communications, 12(1), 1090. doi: 10.1038/s41467-021-21358-2

26. Ogunniyi, T. J., Fatokun, B. S., Olorunfemi, O. A., Sanusi, M. O., Afolabi, V. M., Olaniyan, B. F., Oyinloye, E. A., & Dine, R. D. (2025). Health system resilience in Nigeria after Ebola and COVID-19: impacts, improvements, and strategic directions. Discover Public Health, 22(1). doi: 10.1186/s12982-025-00985-w

27. Olateju, Z., Olufunlayo, T., MacArthur, C., Leung, C., & Taylor, B. (2022). Community health workers' experiences and perceptions of working during the COVID-19 pandemic in Lagos, Nigeria—A qualitative study. PLoS ONE, 17(3), e0265092. doi: 10.1371/journal.pone.0265092

28. Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. Journal of Clinical Epidemiology, 134, 178–189. doi: 10.1016/j.jclinepi.2021.03.001

29. Pierce, J., & Stevens, M. P. (2021). COVID-19 and antimicrobial stewardship: lessons learned, best practices, and future implications. International Journal of Infectious Diseases, 113, 103–108. doi: 10.1016/j.ijid.2021.10.001

30. Sterne, J. A., Hernán, M. A., Reeves, B. C., Savović, J., Berkman, N. D., Viswanathan, M., Henry, D., Altman, D. G., Ansari, M. T., Boutron, I., Carpenter, J. R., Chan, A., Churchill, R., Deeks, J. J., Hróbjartsson, A., Kirkham, J., Jüni, P., Loke, Y. K., Pigott, T. D., Higgins, J. P. (2016). ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ, 355, i4919. doi: 10.1136/bmj.i4919

31. Suthar, A. B., Allen, L. G., Cifuentes, S., Dye, C., & Nagata, J. M. (2017). Lessons learnt from implementation of the International Health Regulations: a systematic review. Bulletin of the World Health Organisation, 96(2), 110-121E. doi: 10.2471/blt.16.189100

32. WHO. (2019). Global Antimicrobial Resistance Surveillance System (GLASS). Molecular methods for antimicrobial resistance (AMR) diagnostics to enhance the Global Antimicrobial Resistance Surveillance System. Retrieved from https://www.who.int/publications/i/item/WHO-WSI-AMR-2019.1

33. WHO. (2021). WHO Policy Guidance on Integrated Antimicrobial Stewardship Activities. Retrieved from https://iris.who.int/server/api/core/bitstreams/bfc17315-e20c-4e61-8e08-c70d8a349437/content


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