Evidence map›Paper›PMID 35943138›Full record

ArticleeLife2022

COVID-19 pandemic dynamics in South Africa and epidemiological characteristics of three variants of concern (Beta, Delta, and Omicron).

Wan Yang, Jeffrey L Shaman

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
–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

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Comparative evaluation of behavioral epidemic models using COVID-19 data.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  14. Update on Omicron variant and its threat to vulnerable populations.Public health in practice (Oxford, England) · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Wan YangDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, United States.ORCID 0000-0002-7555-9728
Jeffrey L ShamanDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, United States.ORCID 0000-0002-7216-7809

Funding

Quantifying Error Growth to Improve Infectious Disease Forecast AccuracyR01AI163023 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI JEFFREY L SHAMAN · 2021 to 2026
$3.3M
Disease Persistence and Population Dynamics: Modeling Measles under Mass VaccinationR01AI145883 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI YANG, WAN · 2019 to 2024
$2.5M
NCEZID CDC HHS U01 CK000592NIAID NIH HHS R01 AI145883NIAID NIH HHS R01 AI163023
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) have been key drivers of new coronavirus disease 2019 (COVID-19) pandemic waves. To better understand variant epidemiologic characteristics, here we apply a model-inference system to reconstruct SARS-CoV-2 transmission dynamics in South Africa, a country that has experienced three VOC pandemic waves (i.e. Beta, Delta, and Omicron BA.1) by February 2022. We estimate key epidemiologic quantities in each of the nine South African provinces during March 2020 to February 2022, while accounting for changing detection rates, infection seasonality, nonpharmaceutical interventions, and vaccination. Model validation shows that estimated underlying infection rates and key parameters (e.g. infection-detection rate and infection-fatality risk) are in line with independent epidemiological data and investigations. In addition, retrospective predictions capture pandemic trajectories beyond the model training period. These detailed, validated model-inference estimates thus enable quantification of both the immune erosion potential and transmissibility of three major SARS-CoV-2 VOCs, that is, Beta, Delta, and Omicron BA.1. These findings help elucidate changing COVID-19 dynamics and inform future public health planning.

Indexed as

COVID-19PandemicsDisease SusceptibilityHumansRetrospective StudiesSARS-CoV-2South AfricaUnited StatesCOVID-19epidemiologyglobal healthimmune evasionnonereinfection rateSARS-CoV-2transmissibilityvariant of concern

Identifiers

PMID35943138
PMCPMC9363123

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.