key: cord-0905541-fv4e4zjc
authors: Yang, Yang; Kenah, Eben
title: Understanding how fast SARS-CoV-2 variants transmit from household studies
date: 2022-02-14
journal: Lancet Infect Dis
DOI: 10.1016/s1473-3099(22)00053-6
sha: 4c488d2e1f1b1ba684e33282de2459b116fc432f
doc_id: 905541
cord_uid: fv4e4zjc

nan

The generation time distribution, g(t), is used by epidemiologists to monitor disease spread and to assess intervention effectiveness on the basis of daily reported new cases, χ(t), using a simple identity:

where R t is the effective reproductive number at a specific time (t). Additionally, the generation time distribution is used by health authorities to guide isolation and quarantine policies (eg, a close contact of an identified case might be recommended to self-quarantine for a period that corresponds to the maximum generation interval plus the maximum incubation period).

The successive waves of dominant SARS-CoV-2 variants have shown a general trend of increasing transmissibility. The relative transmissibility of emerging variants of concern was reportedly higher than for previous variants, with increases in R t of 29-90% for the alpha variant (B.1.1.7) and 97% for the delta variant (B.1.617.2). 1,2 Most modelling studies on transmission and control of variants require the generation time distribution as an input. Due to insufficient data, the analysis of novel strains often assumes the same generation time distribution as for an ancestral strain. [1] [2] [3] Several studies 4,5 reported a shortened mean incubation period of 3·5-4·4 days for the alpha and delta variants compared with the ancestorial strain, implying shorter generation times given the presymptomatic transmissibility of SARS-CoV-2. Only a few studies have estimated generation times directly for these variants from contact-tracing data. 4 Although some studies estimated the serial interval for variants of concern, 6 this interval cannot reliably approximate the generation time for SARS-CoV-2 because of its presymptomatic transmissibility.

Based on 227 households in the UK, William Hart and colleagues 7 provide long needed estimates of generation time distributions for the alpha and delta variants. The reliability of these estimates is grounded on (1) a rigorously designed prospective household study with a decent sample size, (2) a modelling framework that accounts for uncertainties in both the natural history of disease and transmission within households, (3) refined analyses stratified by age group and vaccination status of index cases and their family contacts, and (4) a comprehensive assessment of estimability of parameters and robustness of results to changing assumptions. The authors provide estimates of both the intrinsic generation time, needed by modellers, and the household generation time, which is similar to most existing estimates for SARS-CoV-2 obtained by traditional methods that identify transmission pairs empirically from contact-tracing data. The current model probably identifies transmission pairs more accurately because it explicitly accounts for competition among cases for susceptible contacts.

The authors estimate the mean intrinsic generation time to be 4·7 days (95% credible interval [CI] 4·1-5·6) and the household generation time to be 3·2 days (2·5-4·2) for the delta variant. These estimates are shorter than those for the alpha variant, which were 5·5 days (4·7-6·5) for the mean intrinsic generation time and 4·5 days (3·7-5·4) for the household generation time. The mean household generation time for the delta variant is clearly shorter than that of its ancestral strains (4·0-5·2) 8 and is similar to another estimate of 2·9 days (2·4-3·3) for the delta variant in a non-household study in China. 4 The authors estimated a mean household serial interval of 1·8 days (95% CI 1·0-2·4) for the delta variant, which is consistent with estimates of 2·0-2·5 days in Asian countries 4, 6, 7 and is substantially shorter than the 3·5 days (2·7-4·1) estimated for the alpha variant. A proportionally larger decrease in the household serial interval (48·6%) than the household generation time (28%, 95% CI 0-48%) for the delta variant compared with the alpha variant is most likely a consequence of the delta variant's slightly longer (7·8%) presymptomatic infectious period and its higher relative transmissibility (39·3% higher) during this period (calculated on the basis of information in appendix 2 p 24 of the Article from Hart and colleagues). 7 Vaccines have shown sustainable efficacy and effectiveness at preventing severe disease and death due to SARS-CoV-2 in clinical trials and observational studies, with only moderate reductions in efficacy for new variants of concern. 9 Although slightly longer household generation times were seen for fully vaccinated infectors or infectees versus unvaccinated individuals in the study, there is no unambiguous evidence for considerable delay of breakthrough transmissions. However, it is possible that the small sample sizes after stratification by vaccination status reduced the power of the study to detect moderate delays. Inadequate effectiveness of vaccines in reducing the generation times of the alpha and delta variants, as shown in the study by Hart and colleagues, 7 suggests that quarantine practices for exposed close contacts should remain unchanged regardless of vaccination status.

The surging omicron variant (B.1.1.529) gained an additional growth rate advantage (2·0-3·5 times) according to the US Centers for Disease Control and Prevention (CDC), which might be explained by a combination of improved inherent transmissibility and immune escape. The observed shorter incubation period of the omicron variant (around 3 days) implies a further shortened generation interval. 10 Household studies with similar designs to the study by Hart and colleagues should be conducted to assess the transmissibility and generation interval of, and vaccine effectiveness against, omicron so that control policies can be amended in a timely manner if necessary.

We declare no competing interests.

College of Public Health and Health Professions and Emerging Pathogens Institute

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