Monitoring SARS-CoV-2 variants with complementary surveillance systems: risk evaluation of the Omicron JN.1 variant in France, August 2023 to January 2024

BackgroundEarly detection and characterisation of SARS-CoV-2 variants have been and continue to be essential for assessing their public health impact. In August 2023, Santé publique France implemented enhanced surveillance for BA.2.86 and sub-lineage JN.1 because of their genetic divergence from other variants and increased prevalence.AimTo detail how combining epidemiological and laboratory data sources, targeted investigations and modelling enabled comprehensive characterisation of sub-lineage JN.1.MethodsData were collected from epidemiological investigations using a standardised questionnaire and from routine and novel (RELAB network) surveillance systems. JN.1 cases were compared with cases infected with previously circulating variants, such as EG.5, BA.4/BA.5 and other BA.2.86 sub-lineages. The growth rate and doubling time of JN.1 were estimated.ResultsJN.1 was first detected in September 2023 in the Île-de-France region, France, and spread widely across the country. By late November, doubling time was estimated to be 8.6 to 26.4 days depending on the region. For all data sources, cases infected by JN.1 showed similar demographics, rates of hospitalisation and RT-PCR cycle threshold values compared with those infected by previous variants. JN.1 cases also had older median age (54 years; 40-71 vs 47 years; 30-59), more frequent reports of feverish feeling and less frequent cough or nausea compared with BA.4/BA.5 cases. JN.1 cases had significantly higher frequency of anosmia compared with other BA.2.86 cases.ConclusionCombining different data sources played a key role in detecting emerging variant JN.1, for which no evidence of increased public health impact was found despite its genetic divergence.

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Publication Details

Journal
Eurosurveillance
Published
2025-01-09
DOI
https://doi.org/10.2807/1560-7917.es.2025.30.1.2400293
Citations
6
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
8.38

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article

Monitoring SARS-CoV-2 variants with complementary surveillance systems: risk evaluation of the Omicron JN.1 variant in France, August 2023 to January 2024

Justine Schaeffer, Simon Cauchemez, Garance Terpant, Nathalie Thomas et al.
6 citations
Eurosurveillance
SARS-CoV-2 and COVID-19 Research
8.38
article

Monitoring SARS-CoV-2 variants with complementary surveillance systems: risk evaluation of the Omicron JN.1 variant in France, August 2023 to January 2024

Justine Schaeffer, Simon Cauchemez, Garance Terpant, Nathalie Thomas, Kelly Charniga, Benoît Visseaux, Alain-Claude Kouamen, Marie‐Anne Rameix‐Welti, Grégory Destras, Javier J. Castro Alvarez, Vincent Enouf, Bruno Lina, A Traore, B. Coignard, Antonin Bal, Sophie Grellet, Alizé Mercier, Laurence Josset, Jean‐Marc Giannoli, Vincent Vieillefond, Héléna Da Cruz, J. Prudhomme, Anaïs Lamy, Stéphanie Haïm‐Boukobza, Samar Berreira-Ibraim, Gwladys Nadia Gbaguidi
article en
6 citations

Abstract

BackgroundEarly detection and characterisation of SARS-CoV-2 variants have been and continue to be essential for assessing their public health impact. In August 2023, Santé publique France implemented enhanced surveillance for BA.2.86 and sub-lineage JN.1 because of their genetic divergence from other variants and increased prevalence.AimTo detail how combining epidemiological and laboratory data sources, targeted investigations and modelling enabled comprehensive characterisation of sub-lineage JN.1.MethodsData were collected from epidemiological investigations using a standardised questionnaire and from routine and novel (RELAB network) surveillance systems. JN.1 cases were compared with cases infected with previously circulating variants, such as EG.5, BA.4/BA.5 and other BA.2.86 sub-lineages. The growth rate and doubling time of JN.1 were estimated.ResultsJN.1 was first detected in September 2023 in the Île-de-France region, France, and spread widely across the country. By late November, doubling time was estimated to be 8.6 to 26.4 days depending on the region. For all data sources, cases infected by JN.1 showed similar demographics, rates of hospitalisation and RT-PCR cycle threshold values compared with those infected by previous variants. JN.1 cases also had older median age (54 years; 40-71 vs 47 years; 30-59), more frequent reports of feverish feeling and less frequent cough or nausea compared with BA.4/BA.5 cases. JN.1 cases had significantly higher frequency of anosmia compared with other BA.2.86 cases.ConclusionCombining different data sources played a key role in detecting emerging variant JN.1, for which no evidence of increased public health impact was found despite its genetic divergence.

EurosurveillanceVol. 30(1)
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), Inserm (FR), Institut Pasteur (FR), Université Paris Cité (FR), Université Paris-Saclay (FR), Santé Publique France (FR), Hospices Civils de Lyon (FR), Collaborative Research Group (AU), Zero to Three (US), Hôpital Ambroise-Paré (FR), Institut thématique Santé Publique (FR), Centre International de Recherche en Infectiologie (FR), Infection et inflammation (FR), Virbac (France) (FR)
Institut Français de Bioinformatique, Public Health Agency, Agence Nationale de la Recherche
Good health and well-being
Openalex Percentile: Top 3%
SARS-CoV-2 and COVID-19 Research
8.38
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