Evidence map›Paper›PMID 36991346›Full record

ArticleBMC infectious diseases2023

Spread and seasonality of COVID-19 pandemic confirmed cases in sub-Saharan Africa: experience from Democratic Republic of Congo, Nigeria, Senegal, and Uganda.

Ayo S Adebowale, Rotimi F Afolabi, Segun Bello, Mobolaji M Salawu, Eniola A Bamgboye, Ikeola Adeoye, Magbagbeola D Dairo, Betty Kivumbi, Irene Wanyana, Ibrahima Seck and 13 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 18% of its field
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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Mapping Long COVID: Spatial and Social Inequities Across the United States.medRxiv : the preprint server for health sciences · 2025
    Article
  3. Article
  4. Article
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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

23 authors at 4 institutions in 5 countries.

Ayo S AdebowaleDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria. Adehamilt2008@yahoo.com.
Rotimi F AfolabiDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Segun BelloDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Mobolaji M SalawuDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Eniola A BamgboyeDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Ikeola AdeoyeDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Magbagbeola D DairoDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Betty KivumbiDepartment of Mathematics, School of Physical Sciences, College of Natural Sciences, Makerere University, Kampala, Uganda.
Irene WanyanaDepartment of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Ibrahima SeckDepartment of Preventive Medicine and Public Health, University Cheikh Antar Diop, Dakar, Senegal.
Issakha DialloDepartment of Preventive Medicine and Public Health, University Cheikh Antar Diop, Dakar, Senegal.
Mamadou M M LeyeDepartment of Preventive Medicine and Public Health, University Cheikh Antar Diop, Dakar, Senegal.
Oumar BassoumDepartment of Preventive Medicine and Public Health, University Cheikh Antar Diop, Dakar, Senegal.
Mane FallDepartment of Preventive Medicine and Public Health, University Cheikh Antar Diop, Dakar, Senegal.
Rawlance NdejjoDepartment of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Steven N KabwamaDepartment of Community Health and Behavioral Sciences, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Mala Ali MapatanoDepartment of Nutrition, School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Marc BosonkieDepartment of Nutrition, School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Landry EgbendeDepartment of Nutrition, School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Alice NamaleSchool of Public Health, Makerere University, Kampala, Uganda.
Susan KizitoDepartment of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Rhoda K WanyenzeDepartment of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Olufunmilayo I FawoleDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
University of Ibadan · NGMakerere University · UGCheikh Anta Diop University · SNUniversity of Kinshasa · CD

Funding

Bill & Melinda Gates Foundation INV-019313
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has impacted the world negatively with huge health and socioeconomic consequences. This study estimated the seasonality, trajectory, and projection of COVID-19 cases to understand the dynamics of the disease spread and inform response interventions.

methodDescriptive analysis of daily confirmed COVID-19 cases from January 2020 to 12

resultsNigeria had the highest rate of spread (β) of COVID-19 (β = 381.2) while DRC had the least rate (β = 119.4). DRC, Uganda, and Senegal had a similar pattern of COVID-19 spread from the onset through December 2020. The average doubling time in COVID-19 case count was highest in Uganda (148 days) and least in Nigeria (83 days). A seasonal variation was found in the COVID-19 data for all four countries but the timing of the cases showed some variations across countries. More cases are expected in the 1

conclusionOur findings show a seasonality that may warrant consideration for COVID-19 periodic interventions in the peak seasons in the preparedness and response strategies.

Indexed as

COVID-19Democratic Republic of the CongoHumansNigeriaPandemicsSenegalUgandaCOVID-19Mathematical projectionSub-Saharan AfricaTrigonometric model

Identifiers

PMID36991346
PMCPMC10054222
OpenAlexW4361294121

What Socratic 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 Socratic graph.