SynthesisBMC medicine2023
Assessing changes in incubation period, serial interval, and generation time of SARS-CoV-2 variants of concern: a systematic review and meta-analysis.
Synthesis in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Consolidating Estimates of the Incubation Period for Omicron Subvariants From the Literature and Their Comparison to the Estimate From Taiwan: A Systematic Review and Meta-Analysis, September 2024.Influenza and other respiratory viruses · 2025Pooled it
- Estimation of transmission distance between cases of (re-)emerging respiratory infectious diseases and its potential application in outbreak response.Infectious Disease Modelling · 2026Article
- Assessing spatial transmission risk of respiratory infectious diseases across cities of different socioeconomic tiers in China: A modelling study.PLoS medicine · 2026Article
- Estimating the generation time for SARS-CoV-2 transmission using United States household data, December 2021-May 2023.Scientific reports · 2026Article
- VIBES: A multiscale modeling approach integrating within-host and between-hosts dynamics in epidemics.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The role of receptor binding and immunity in SARS-CoV-2 fitness landscape: A modeling study.iScience · 2026Article
- Article
- Integrated Genomic and Epidemiological Surveillance to Monitor SARS-CoV-2 Variants in Italy: Insights From the JN.1 Case Study (2023-2024).Journal of medical virology · 2026Article
- China's post-zero-COVID Omicron wave: A Bayesian analysis.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Global transmission characteristics of mpox outbreaks: a systematic review and meta-analysis.EClinicalMedicine · 2025Article
- What Has SARS-CoV-2 Taught Us About Evolution?Cureus · 2025Review
- A Bayesian model for repeated cross-sectional epidemic prevalence survey data.PLoS computational biology · 2025Article
- Social contact patterns and their impact on the transmission of respiratory pathogens in rural China.Infectious Disease Modelling · 2025Article
- Article
- Persistent mortality in critical COVID-19 ICU cases from wild-type to delta variant: A descriptive cohort study.Scientific reports · 2025Observational
- Impact of tiered restrictions in December 2020 on COVID-19 hospitalisations in England: a synthetic control study.BMJ open · 2025Observational
- Near-source wastewater surveillance of SARS-CoV-2, norovirus, influenza virus and RSV across five different sites in the UK.PLOS global public health · 2025Article
- Burden of Acute Respiratory Infections Caused by Influenza Virus, Respiratory Syncytial Virus, and SARS-CoV-2 with Consideration of Older Adults: A Narrative Review.Infectious diseases and therapy · 2025Review
- Isolation, identification, and sensitivity profile ofFrontiers in pediatrics · 2025Article
- Dynamic causal models in infectious disease epidemiology-an assessment of their predictive validity based on the COVID-19 epidemic in the UK 2020 to 2024.Frontiers in public health · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAfter the first COVID-19 wave caused by the ancestral lineage, the pandemic has been fueled from the continuous emergence of new SARS-CoV-2 variants. Understanding key time-to-event periods for each emerging variant of concern is critical as it can provide insights into the future trajectory of the virus and help inform outbreak preparedness and response planning. Here, we aim to examine how the incubation period, serial interval, and generation time have changed from the ancestral SARS-CoV-2 lineage to different variants of concern.
methodsWe conducted a systematic review and meta-analysis that synthesized the estimates of incubation period, serial interval, and generation time (both realized and intrinsic) for the ancestral lineage, Alpha, Beta, and Omicron variants of SARS-CoV-2.
resultsOur study included 280 records obtained from 147 household studies, contact tracing studies, or studies where epidemiological links were known. With each emerging variant, we found a progressive shortening of each of the analyzed key time-to-event periods, although we did not find statistically significant differences between the Omicron subvariants. We found that Omicron BA.1 had the shortest pooled estimates for the incubation period (3.49 days, 95% CI: 3.13-4.86 days), Omicron BA.5 for the serial interval (2.37 days, 95% CI: 1.71-3.04 days), and Omicron BA.1 for the realized generation time (2.99 days, 95% CI: 2.48-3.49 days). Only one estimate for the intrinsic generation time was available for Omicron subvariants: 6.84 days (95% CrI: 5.72-8.60 days) for Omicron BA.1. The ancestral lineage had the highest pooled estimates for each investigated key time-to-event period. We also observed shorter pooled estimates for the serial interval compared to the incubation period across the virus lineages. When pooling the estimates across different virus lineages, we found considerable heterogeneities (I
conclusionsOur study supports the importance of conducting contact tracing and epidemiological investigations to monitor changes in SARS-CoV-2 transmission patterns. Our findings highlight a progressive shortening of the incubation period, serial interval, and generation time, which can lead to epidemics that spread faster, with larger peak incidence, and harder to control. We also consistently found a shorter serial interval than incubation period, suggesting that a key feature of SARS-CoV-2 is the potential for pre-symptomatic transmission. These observations are instrumental to plan for future COVID-19 waves.
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