Evidence map›Paper›PMID 37158897›Full record

Observational studyBMC public health2023

COVID-19 surveillance in Democratic Republic of Congo, Nigeria, Senegal and Uganda: strengths, weaknesses and key Lessons.

Olufunmilayo Ibitola Fawole, Segun Bello, Ayo Stephen Adebowale, Eniola Adetola Bamgboye, Mobolaji Modinat Salawu, Rotimi Felix Afolabi, Magbagbeola David Dairo, Alice Namale, Suzanne Kiwanuka, Fred Monje and 20 more

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

30 authors.

Olufunmilayo Ibitola Fawole *Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria. fawoleo@ymail.com.
Segun Bello *Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Ayo Stephen AdebowaleFaculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Eniola Adetola BamgboyeFaculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Mobolaji Modinat SalawuFaculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Rotimi Felix AfolabiFaculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Magbagbeola David DairoFaculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Alice NamaleMakerere University School of Public Health, Kampala, Uganda.
Suzanne KiwanukaMakerere University School of Public Health, Kampala, Uganda.
Fred MonjeMakerere University School of Public Health, Kampala, Uganda.
Noel NamuhaniMakerere University School of Public Health, Kampala, Uganda.
Steven KabwamaMakerere University School of Public Health, Kampala, Uganda.
Susan KizitoMakerere University School of Public Health, Kampala, Uganda.
Rawlance NdejjoMakerere University School of Public Health, Kampala, Uganda.
Ibrahima SeckDepartment of Preventive Medicine and Public Health, Université Cheikh Anta Diop de Dakar, Dakar, Senegal.
Issakha DialloDepartment of Preventive Medicine and Public Health, Université Cheikh Anta Diop de Dakar, Dakar, Senegal.
Mamadou MakhtarDepartment of Preventive Medicine and Public Health, Université Cheikh Anta Diop de Dakar, Dakar, Senegal.
Mbacke LeyeDepartment of Preventive Medicine and Public Health, Université Cheikh Anta Diop de Dakar, Dakar, Senegal.
Youssou NdiayeDepartment of Preventive Medicine and Public Health, Université Cheikh Anta Diop de Dakar, Dakar, Senegal.
Manel FallDepartment of Preventive Medicine and Public Health, Université Cheikh Anta Diop de Dakar, Dakar, Senegal.
Oumar BassoumDepartment of Preventive Medicine and Public Health, Université Cheikh Anta Diop de Dakar, Dakar, Senegal.
Mala Ali MapatanoKinshasa, School of Public Health, Kinshasa, Democratic Republic of Congo.
Marc BosonkieKinshasa, School of Public Health, Kinshasa, Democratic Republic of Congo.
Landry EgbendeKinshasa, School of Public Health, Kinshasa, Democratic Republic of Congo.
Siobhan LazenbyGates Ventures LLC, Exemplars in Global Health, Seattle, WA, USA.
William WangGates Ventures LLC, Exemplars in Global Health, Seattle, WA, USA.
Anne LiuGates Ventures LLC, Exemplars in Global Health, Seattle, WA, USA.
Rebecca BartleinGates Ventures LLC, Exemplars in Global Health, Seattle, WA, USA.
William SambisaBill and Melinda Gates Foundation, Seattle, USA.
Rhoda WanyenzeMakerere University School of Public Health, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAs part of efforts to rapidly identify and care for individuals with COVID-19, trace and quarantine contacts, and monitor disease trends over time, most African countries implemented interventions to strengthen their existing disease surveillance systems. This research describes the strengths, weaknesses and lessons learnt from the COVID-19 surveillance strategies implemented in four African countries to inform the enhancement of surveillance systems for future epidemics on the continent.

methodsThe four countries namely the Democratic Republic of Congo (DRC), Nigeria, Senegal, and Uganda, were selected based on their variability in COVID-19 response and representation of Francophone and Anglophone countries. A mixed-methods observational study was conducted including desk review and key informant interviews, to document best practices, gaps, and innovations in surveillance at the national, sub-national, health facilities, and community levels, and these learnings were synthesized across the countries.

resultsSurveillance approaches across countries included - case investigation, contact tracing, community-based, laboratory-based sentinel, serological, telephone hotlines, and genomic sequencing surveillance. As the COVID-19 pandemic progressed, the health systems moved from aggressive testing and contact tracing to detect virus and triage individual contacts into quarantine and confirmed cases, isolation and clinical care. Surveillance, including case definitions, changed from contact tracing of all contacts of confirmed cases to only symptomatic contacts and travelers. All countries reported inadequate staffing, staff capacity gaps and lack of full integration of data sources. All four countries under study improved data management and surveillance capacity by training health workers and increasing resources for laboratories, but the disease burden was under-detected. Decentralizing surveillance to enable swifter implementation of targeted public health measures at the subnational level was a challenge. There were also gaps in genomic and postmortem surveillance including community level sero-prevalence studies, as well as digital technologies to provide more timely and accurate surveillance data.

conclusionAll the four countries demonstrated a prompt public health surveillance response and adopted similar approaches to surveillance with some adaptations as the pandemic progresses. There is need for investments to enhance surveillance approaches and systems including decentralizing surveillance to the subnational and community levels, strengthening capabilities for genomic surveillance and use of digital technologies, among others. Investing in health worker capacity, ensuring data quality and availability and improving ability to transmit surveillance data between and across multiple levels of the health care system is also critical. Countries need to take immediate action in strengthening their surveillance systems to better prepare for the next major disease outbreak and pandemic.

Indexed as

COVID-19PandemicsDemocratic Republic of the CongoHumansNigeriaSenegalUgandaCOVID-19 responseCOVID-19 surveillanceHealth systemsKey learningsLesson learntStrengths and weaknesses

Identifiers

PMID37158897
PMCPMC10165588

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.