Cited by 108COVID-19 epidemiological studiesSARS-CoV-2 and COVID-19 ResearchMathematical and Theoretical Epidemiology and Ecology Models

COVID-19 in the 47 countries of the WHO African region: a modelling analysis of past trends and future patterns

Open access
Cabore, Joseph Waogodo, Karamagi, Humphrey Cyprian, Kipruto, Hillary Kipchumba, Mungatu, Joseph Kyalo, Asamani, James Avoka, Droti, Benson, Titi-ofei, Regina, Seydi, Aminata Binetou Wahebine +5 more·2022·The Lancet Global Health

Abstract

BACKGROUND: COVID-19 has affected the African region in many ways. We aimed to generate robust information on the transmission dynamics of COVID-19 in this region since the beginning of the pandemic and throughout 2022. METHODS: For each of the 47 countries of the WHO African region, we consolidated COVID-19 data from reported infections and deaths (from WHO statistics); published literature on socioecological, biophysical, and public health interventions; and immunity status and variants of concern, to build a dynamic and comprehensive picture of COVID-19 burden. The model is consolidated through a partially observed Markov decision process, with a Fourier series to produce observed patterns over time based on the SEIRD (denoting susceptible, exposed, infected, recovered, and dead) modelling framework. The model was set up to run weekly, by country, from the date the first infection was reported in each country until Dec 31, 2021. New variants were introduced into the model based on sequenced data reported by countries. The models were then extrapolated until the end of 2022 and included three scenarios based on possible new variants with varying transmissibility, severity, or immunogenicity. FINDINGS: Between Jan 1, 2020, and Dec 31, 2021, our model estimates the number of SARS-CoV-2 infections in the African region to be 505·6 million (95% CI 476·0-536·2), inferring that only 1·4% (one in 71) of SARS-CoV-2 infections in the region were reported. Deaths are estimated at 439 500 (95% CI 344 374-574 785), with 35·3% (one in three) of these reported as COVID-19-related deaths. Although the number of infections were similar between 2020 and 2021, 81% of the deaths were in 2021. 52·3% (95% CI 43·5-95·2) of the region's population is estimated to have some SARS-CoV-2 immunity, given vaccination coverage of 14·7% as of Dec 31, 2021. By the end of 2022, we estimate that infections will remain high, at around 166·2 million (95% CI 157·5-174·9) infections, but deaths will substantially reduce to 22 563 (14 970-38 831). INTERPRETATION: The African region is estimated to have had a similar number of COVID-19 infections to that of the rest of the world, but with fewer deaths. Our model suggests that the current approach to SARS-CoV-2 testing is missing most infections. These results are consistent with findings from representative seroprevalence studies. There is, therefore, a need for surveillance of hospitalisations, comorbidities, and the emergence of new variants of concern, and scale-up of representative seroprevalence studies, as core response strategies. FUNDING: None.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/s2214-109x(22)00233-9

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In the Africa region, recent studies have highlighted underestimation in reported COVID-19 statistics.

    “As another example, in the Africa region for which ACM data are most lacking, recent studies have highlighted the underestimation in the reported statistics20.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 42 · Cited by 108

Research works printed but not linked: 35

  1. [2]Kong JD Tekwa EW Gignoux-Wolfsohn SA Social, economic, and environmental factors influencing the basic reproduction number of COVID-19 across countries PLoS One 16 2021 e0252373 PMC8189449 34106993
  2. [3]Gesesew HA Koye DN Fetene DM Risk factors for COVID-19 infection, disease severity and related deaths in Africa: a systematic review BMJ Open 11 2021 e044618 PMC7896374 33602714
  3. [4]Tsori Y Granek R Epidemiological model for the inhomogeneous spatial spreading of COVID-19 and other diseases PLoS One 16 2021 e0246056 PMC7894958 33606684
  4. [5]Zhang F Karamagi H Nsenga N Predictors of COVID-19 epidemics in countries of the World Health Organization African region Nat Med 27 2021 2041 2047 34480125 PMC8604723
  5. [6]Nachega JB Kapata N Sam-Agudu NA Minimizing the impact of the triple burden of COVID-19, tuberculosis and HIV on health services in sub-Saharan Africa Int J Infect Dis 113 suppl 1 2021 S16 S21 33757874 PMC7980520
  6. [7]Bigna JJ Noubiap JJ The rising burden of non-communicable diseases in sub-Saharan Africa Lancet Glob Health 7 2019 e1295 e1296 31537347
  7. [8]Adeloye D Basquill C Papana A Chan KY Rudan I Campbell H An estimate of the prevalence of COPD in Africa: a systematic analysis COPD 12 2015 71 81 24946179
  8. [9]Adeloye D An estimate of the incidence and prevalence of stroke in Africa: a systematic review and meta-analysis PLoS One 9 2014 e100724 PMC4072632 24967899
  9. [11]Aborode AT Hasan MM Jain S Impact of poor disease surveillance system on COVID-19 response in Africa: time to rethink and rebuilt Clin Epidemiol Glob Health 12 2021 100841 PMC8330137 34368503
  10. [12]Tenforde MW Self WH Adams K Association between mRNA vaccination and COVID-19 hospitalization and disease severity JAMA 326 2021 2043 2054 34734975 PMC8569602
  11. [13]Bahl A Johnson S Maine G Vaccination reduces need for emergency care in breakthrough COVID-19 infections: a multicenter cohort study Lancet Reg Health Am 4 2021 100065 PMC8428472 34522911
  12. [15]Hu J Peng P Cao X Increased immune escape of the new SARS-CoV-2 variant of concern omicron Cell Mol Immunol 19 2022 293 295 35017716 PMC8749347
  13. [16]Li R Pei S Chen B Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV2) Science 368 2020 489 493 32179701 PMC7164387
  14. [17]Usuf E Roca A Seroprevalence surveys in sub-Saharan Africa: what do they tell us? Lancet Glob Health 9 2021 e724 e725 33711261
  15. [18]Arora RK Joseph A Van Wyk J SeroTracker: a global SARS-CoV-2 seroprevalence dashboard Lancet Infect Dis 21 2021 e75 e76 32763195 PMC7402646
  16. [19]Uyoga S Adetifa IMO Otiende M Prevalence of SARS-CoV-2 antibodies from a national serosurveillance of Kenyan blood donors, January-March 2021 JAMA 326 2021 1436 1438 34473191 PMC8414357
  17. [20]Barrie MB Lakoh S Kelly JD SARS-CoV-2 antibody prevalence in Sierra Leone, March 2021: a cross-sectional, nationally representative, age-stratified serosurvey BMJ Glob Health 6 2021 e007271 PMC8587532 34764148
  18. [21]Murray J Forecasting COVID-19 impact on hospital bed-days, ICU-days, ventilator days and deaths by US state in the next 4 months medRxiv 2020 published online March 30. 10.1101/2020.03.27.20043752 · DOI
  19. [23]King AA Nguyen D Ionides EL Statistical inference for partially observed Markov processes via the R package pomp arXiv 2015 published online Sept 1. 10.48550/arXiv.1509.00503 · DOI
  20. [24]Snell LB Wang W Alcolea-Medina A Descriptive comparison of admission characteristics between pandemic waves and multivariable analysis of the association of the alpha variant (B.1.1.7 lineage) of SARS-CoV-2 with disease severity in inner London BMJ Open 12 2022 e055474 PMC8829842 35135773
  21. [25]Cheng L Song S Fan Q Cross-neutralization of SARS-CoV-2 Kappa and Delta variants by inactivated vaccine-elicited serum and monoclonal antibodies Cell Discov 7 2021 112 34811350 PMC8608826
  22. [26]Akkiz H Implications of the novel mutations in the SARS-CoV-2 genome for transmission, disease severity, and the vaccine development Front Med (Lausanne) 8 2021 636532 PMC8137987 34026780
  23. [27]Jara A Undurraga EA González C Effectiveness of an inactivated SARS-CoV-2 vaccine in Chile N Engl J Med 385 2021 875 884 34233097 PMC8279092
  24. [28]Levine-Tiefenbrun M Yelin I Katz R Initial report of decreased SARS-CoV-2 viral load after inoculation with the BNT162b2 vaccine Nat Med 27 2021 790 792 33782619
  25. [29]Marfe G Perna S Shukla AK Effectiveness of COVID-19 vaccines and their challenges (Review) Exp Ther Med 22 2021 1407 PMC8524740 34676000
  26. [30]Tregoning JS Flight KE Higham SL Wang Z Pierce BF Progress of the COVID-19 vaccine effort: viruses, vaccines and variants versus efficacy, effectiveness and escape Nat Rev Immunol 21 2021 626 636 34373623 PMC8351583
  27. [32]Kojima N Klausner JD Protective immunity after recovery from SARS-CoV-2 infection Lancet Infect Dis 22 2022 12 14 34762853 PMC8575467
  28. [33]Sun P Lu X Xu C Sun W Pan B Understanding of COVID-19 based on current evidence J Med Virol 92 2020 548 551 32096567 PMC7228250
  29. [34]Cabore JW Karamagi HC Kipruto H The potential effects of widespread community transmission of SARS-CoV-2 infection in the World Health Organization African region: a predictive model BMJ Glob Health 5 2020 e002647 PMC7252960 32451366
  30. [36]Pullano G Di Domenico L Sabbatini CE Underdetection of cases of COVID-19 in France threatens epidemic control Nature 590 2021 134 139 33348340
  31. [37]Lee C Apio C Park T Estimation of undetected asymptomatic COVID-19 cases in South Korea using a probabilistic model Int J Environ Res Public Health 18 2021 4946 PMC8124955 34066512
  32. [38]Mahajan A Solanki R Sivadas N Estimation of undetected symptomatic and asymptomatic cases of COVID-19 infection and prediction of its spread in the USA J Med Virol 93 2021 3202 3210 33620096 PMC8013178
  33. [39]Karamagi HC Tumusiime P Titi-Ofei R Towards universal health coverage in the WHO African region: assessing health system functionality, incorporating lessons from COVID-19 BMJ Glob Health 6 2021 e004618 PMC8015798 33789869
  34. [40]Ioannidis JPA Infection fatality rate of COVID-19 inferred from seroprevalence data Bull World Health Organ 99 2021 19 33F 33716331 PMC7947934
  35. [42]Abu-Raddad LJ Chemaitelly H Bertollini R Severity of SARS-CoV-2 reinfections as compared with primary infections N Engl J Med 385 2021 2487 2489 34818474 PMC8631440

Authors
Cabore, J. W., Karamagi, H. C., Kipruto, H. K., Mungatu, J. K., Asamani, J. A., Droti, B., Titi-ofei, R., Seydi, A. B. W., Kidane, S. N., Balde, T., Gueye, A. S., Makubalo, L., & Moeti, M. R.
Affiliations
World Health Organization Regional Office for Africa (CG)
Corresponding author
Karamagi, Humphrey Cyprian
Venue
The Lancet Global Health
Publisher
Elsevier BV
Published
2022-08
Volume
10
Issue
8
Pages
e1099-e1114
ISSN
2214-109X (ISSN-L)
OpenAlex
W4281641281
Cited by
108
References
42
Citations by year
2026: 7 · 2025: 16 · 2024: 31 · 2023: 33 · 2022: 21
FWCI
15.01
Type
journal article
Language
en
Open access
Locations
  • The Lancet Global Health (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Funders
World Health Organization
Topics
  • Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mathematical and Theoretical Epidemiology and Ecology Models
Keywords
COVID-19 pandemic, SARS-CoV-2, Africa, transmission dynamics, underreporting of infections, COVID-19 mortality, SARS-CoV-2 variants of concern, Omicron variant, Delta variant, vaccination coverage, natural immunity, SEIRD model, partially observable Markov decision processes, epidemic forecasting, public health interventions, non-pharmaceutical interventions
MeSH terms
COVID-19, SARS-CoV-2, COVID-19 Testing, Humans, Population Growth, World Health Organization, Seroepidemiologic Studies

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review