Evidence map›Paper›PMID 36324075›Full record

ArticleBMC infectious diseases2022

Retrospective analysis of SARS-CoV-2 omicron invasion over delta in French regions in 2021-22: a status-based multi-variant model.

Thomas Haschka, Elisabeta Vergu, Benjamin Roche, Chiara Poletto, Lulla Opatowski

Abstract read
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Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Thomas HaschkaEpidemiology and Modelling of Bacterial Escape to Antimicrobials, Institut Pasteur, 25-28, rue du Docteur Roux, 75015, Paris, France. thomas.haschka@icm-institute.org.
Elisabeta VerguUniversité Paris-Saclay, INRAE, MaIAGE, Domaine de Vilvert, 78350, Jouy-en-Josas, France.
Benjamin RocheMIVEGEC, Université Montpellier, IRD, CNRS, 911, avenue Agropolis, 34394, Montpellier, France.
Chiara PolettoINSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, 75012, Paris, France.
Lulla OpatowskiEpidemiology and Modelling of Bacterial Escape to Antimicrobials, Institut Pasteur, 25-28, rue du Docteur Roux, 75015, Paris, France.

Funding

Horizon 2020 Framework Programme 101016167
6 · The paper itself

Abstract

backgroundSARS-CoV-2 is a rapidly spreading disease affecting human life and the economy on a global scale. The disease has caused so far more then 5.5 million deaths. The omicron outbreak that emerged in Botswana in the south of Africa spread around the globe at further increased rates, and caused unprecedented SARS-CoV-2 infection incidences in several countries. At the start of December 2021 the first omicron cases were reported in France.

methodsIn this paper we investigate the spreading potential of this novel variant relatively to the delta variant that was also in circulation in France at that time. Using a dynamic multi-variant model accounting for cross-immunity through a status-based approach, we analyze screening data reported by Santé Publique France over 13 metropolitan French regions between 1st of December 2021 and the 30th of January 2022. During the investigated period, the delta variant was replaced by omicron in all metropolitan regions in approximately three weeks. The analysis conducted retrospectively allows us to consider the whole replacement time window and compare regions with different times of omicron introduction and baseline levels of variants' transmission potential. As large uncertainties regarding cross-immunity among variants persist, uncertainty analyses were carried out to assess its impact on our estimations.

resultsAssuming that 80% of the population was immunized against delta, a cross delta/omicron cross-immunity of 25% and an omicron generation time of 3.5 days, the relative strength of omicron to delta, expressed as the ratio of their respective reproduction rates, [Formula: see text], was found to range between 1.51 and 1.86 across regions. Uncertainty analysis on epidemiological parameters led to [Formula: see text] ranging from 1.57 to 2.34 on average over the metropolitan French regions, weighted by population size.

conclusionsUpon introduction, omicron spread rapidly through the French territory and showed a high fitness relative to delta. We documented considerable geographical heterogeneities on the spreading dynamics. The historical reconstruction of variant emergence dynamics provide valuable ground knowledge to face future variant emergence events.

Indexed as

COVID-19SARS-CoV-2BotswanaHumansRetrospective StudiesMulti-variant modelOmicronSARS-CoV-2Transmissibility

Identifiers

PMID36324075
PMCPMC9630076

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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.