Evidence map›Paper›PMID 37736525›Full record

ArticleRoyal Society open science2023

Estimation of epidemiological parameters and ascertainment rate from early transmission of COVID-19 across Africa.

Qing Han, Nicola Bragazzi, Ali Asgary, James Orbinski, Jianhong Wu, Jude Dzevela Kong

Abstract read
In one paragraph

Article in Royal Society open science, 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
–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

8 citing papers in PubMed.

  1. Review
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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

6 authors.

Qing HanAfrica-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), York University, Keele Campus, 4700 Keele Street, Toronto, Ontario, Canada M3J 1P3.ORCID 0000-0001-9670-144X
Nicola BragazziDepartment of Mathematics and Statistics, Laboratory for Industrial and Applied Mathematics (LIAM), York University, Keele Campus, 4700 Keele Street, Toronto, Ontario, Canada M3J 1P3.
Ali AsgaryDisaster and Emergency Management, School of Administrative Studies, Faculty of Liberal Arts and Professional Studies, York University, Keele Campus, 4700 Keele Street, Toronto, Ontario, Canada M3J 1P3.
James OrbinskiDahdaleh Institute for Global Health Research, York University, Keele Campus, 4700 Keele Street, Toronto, Ontario, Canada M3J 1P3.
Jianhong WuDepartment of Mathematics and Statistics, Laboratory for Industrial and Applied Mathematics (LIAM), York University, Keele Campus, 4700 Keele Street, Toronto, Ontario, Canada M3J 1P3.ORCID 0000-0003-0052-5336
Jude Dzevela KongAfrica-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), York University, Keele Campus, 4700 Keele Street, Toronto, Ontario, Canada M3J 1P3.ORCID 0000-0002-7557-5672

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Country reported case counts suggested a slow spread of SARS-CoV-2 in the initial phase of the COVID-19 pandemic in Africa. Owing to inadequate public awareness, unestablished monitoring practices, limited testing and stigmas, there might exist extensive under-ascertainment of the true number of cases, especially at the beginning of the novel epidemic. We developed a compartmentalized epidemiological model to track the early epidemics in 54 African countries. Data on the reported cumulative number of cases and daily confirmed cases were used to fit the model for the time period with no or little massive national interventions yet in each country. We estimated that the mean basic reproduction number is 2.02 (s.d. 0.7), with a range between 1.12 (Zambia) and 3.64 (Nigeria). The mean overall report rate was estimated to be 5.37% (s.d. 5.71%), with the highest 30.41% in Libya and the lowest 0.02% in São Tomé and Príncipe. An average of 5.46% (s.d. 6.4%) of all infected cases were severe cases and 66.74% (s.d. 17.28%) were asymptomatic ones. The estimated low reporting rates in Africa suggested a clear need for improved reporting and surveillance systems in these countries.

Indexed as

Africaascertainment rateCOVID-19mathematical modelunder-reporting

Identifiers

PMID37736525
PMCPMC10509578

What OpenQuestion holds

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LicenceCC BY
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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.