ArticleThe Lancet. Infectious diseases2022
Generation time of the alpha and delta SARS-CoV-2 variants: an epidemiological analysis.
Article in The Lancet. Infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 2 of them syntheses that pooled it.
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Who cites it
143 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Assessing changes in incubation period, serial interval, and generation time of SARS-CoV-2 variants of concern: a systematic review and meta-analysis.BMC medicine · 2023Pooled it
- Rapid review and meta-analysis of serial intervals for SARS-CoV-2 Delta and Omicron variants.BMC infectious diseases · 2023Pooled it
- Generation time in a discrete epidemic model with asymptomatic carriers: beyond geometric waiting times.Infectious Disease Modelling · 2027Article
- Robust estimation of the time-dependent reproduction number in the presence of weekend reporting effects.BMC global and public health · 2026Article
- HuR enhances SARS-CoV-2 non-structural protein translation through the genomic 5'-UTR, by promoting polypyrimidine tract-binding protein binding.Journal of virology · 2026Article
- Estimating the generation time for SARS-CoV-2 transmission using United States household data, December 2021-May 2023.Scientific reports · 2026Article
- The role of receptor binding and immunity in SARS-CoV-2 fitness landscape: A modeling study.iScience · 2026Article
- Proactive vs. reactive COVID-19 screening in schools: Lessons from experimental protocols in France during the Delta and Omicron waves.PNAS nexus · 2026Article
- Heterogeneous impact of mask mandates on U.S. masking behavior: an interrupted time series study.American journal of epidemiology · 2026Article
- Uncovering heterogeneous intercommunity disease transmission from neutral allele frequency time series.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Daily profile of COVID-19 infections in Europe - a biophysical perspective.Biophysical reviews · 2025Review
- Real-time inference of the end of an outbreak: Temporally aggregated disease incidence data and under-reporting.Infectious Disease Modelling · 2025Article
- Evolving infectious disease dynamics shape school-based intervention effectiveness.Nature communications · 2025Article
- Review
- The time-dependent reproduction number for epidemics in heterogeneous populations.Journal of the Royal Society, Interface · 2025Article
- The consequences of SARS-CoV-2 within-host persistence.Nature reviews. Microbiology · 2025Review
- Simulation-based inference of the time-dependent reproduction number from temporally aggregated and under-reported disease incidence time series data.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- Estimating the generation time for influenza transmission using household data in the United States.Epidemics · 2025Article
- Phylogeographic evaluation of the effectiveness of Canadian travel restrictions in reducing SARS-CoV-2 variant importations and burden.Virus evolution · 2025Article
- Unveiling pandemic patterns: a detailed analysis of transmission and severity parameters across four COVID-19 waves in Bogotá, Colombia.BMC global and public health · 2024Article
83 more citing papers are in PubMed but not listed here.
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7 authors.
Funding
Abstract
backgroundIn May, 2021, the delta (B.1.617.2) SARS-CoV-2 variant became dominant in the UK, superseded by the omicron (B.1.1.529) variant in December, 2021. The delta variant is associated with increased transmissibility compared with the alpha variant, which was the dominant variant in the UK between December, 2020, and May, 2021. To understand transmission and the effectiveness of interventions, we aimed to investigate whether the delta variant generation time (the interval between infections in infector-infectee pairs) is shorter-ie, transmissions are happening more quickly-than that of the alpha variant.
methodsIn this epidemiological analysis, we analysed transmission data from an ongoing UK Health Security Agency (UKHSA) prospective household study. Households were recruited to the study after an index case had a positive PCR test and genomic sequencing was used to determine the variant responsible. By fitting a mathematical transmission model to the data, we estimated the intrinsic generation time (which assumes a constant supply of susceptible individuals throughout infection) and the household generation time (which reflects realised transmission in the study households, accounting for susceptible depletion) for the alpha and delta variants.
findingsBetween February and August, 2021, 227 households consisting of 559 participants were recruited to the UKHSA study. The alpha variant was detected or assumed to be responsible for infections in 131 households (243 infections in 334 participants) recruited in February-May, and the delta variant in 96 households (174 infections in 225 participants) in May-August. The mean intrinsic generation time was shorter for the delta variant (4·7 days, 95% credible interval [CI] 4·1-5·6) than the alpha variant (5·5 days, 4·7-6·5), with 92% posterior probability. The mean household generation time was 28% (95% CI 0-48%) shorter for the delta variant (3·2 days, 95% CI 2·5-4·2) than the alpha variant (4·5 days, 3·7-5·4), with 97·5% posterior probability.
interpretationThe delta variant transmits more quickly in households than the alpha variant, which can be attributed to faster depletion of susceptible individuals in households and a possible decrease in the intrinsic generation time. Interventions such as contact tracing, testing, and isolation might be less effective if transmission of the virus occurs quickly.
fundingNational Institute for Health Research, UK Health Security Agency, Engineering and Physical Sciences Research Council, and UK Research and Innovation.
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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.