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Inferring time-varying generation time, serial interval, and incubation period distributions for COVID-19

The generation time (interval between successive infections in a transmission chain) is an important parameter for epidemiological modeling. Here, the authors develop a framework for estimating this parameter and how it changes over time and apply it to data from China in the first months of the pandemic.

Dongxuan Chen
Yiu-Chung Lau
Sheikh Taslim Ali
ResearchOpen Access13 Dec 2022
Nature Communications

Volume: 13, P: 1-12
Investigating setting-specific superspreading potential and generation intervals of COVID-19 in Hong Kong

Super spreading events are considered important contributors to the spread of COVID−19, but the extent to which superspreading varies by transmission setting is unclear. Here, the authors demonstrate heterogeneity in superspreading and the generation interval between COVID−19 cases in different settings using data from Hong Kong.

Dongxuan Chen
Dillon C. Adam
Sheikh Taslim Ali
ResearchOpen Access01 Jul 2025
Nature Communications

Volume: 16, P: 1-11
Author Correction: Inferring time-varying generation time, serial interval, and incubation period distributions for COVID-19

Dongxuan Chen
Yiu-Chung Lau
Sheikh Taslim Ali
Amendments and CorrectionsOpen Access10 Jan 2023
Nature Communications

Volume: 14, P: 1
Modelling the effectiveness of an isolation strategy for managing mpox outbreaks with variable infectiousness profiles

Current guidelines recommend that individuals exposed to mpox should isolate for three weeks, based on the average estimated incubation period. Here, the authors use a quantitative model to characterise mpox infectiousness profiles and quantify the impacts of different isolation rules.

Yong Dam Jeong
William S. Hart
Fuminari Miura
ResearchOpen Access26 Aug 2024
Nature Communications

Volume: 15, P: 1-12
Implications of the school-household network structure on SARS-CoV-2 transmission under school reopening strategies in England

Many countries have closed schools as part of their COVID-19 response. Here, the authors model SARS-CoV-2 transmission on a network of schools and households in England, and find that risk of transmission between schools is lower if primary schools are open than if secondary schools are open.

James D. Munday
Katharine Sherratt
Sebastian Funk
ResearchOpen Access29 Mar 2021
Nature Communications

Volume: 12, P: 1-11
Dynamics of non-household contacts during the COVID-19 pandemic in 2020 and 2021 in the Netherlands

Jantien A. Backer
Laurens Bogaardt
Jacco Wallinga
ResearchOpen Access30 Mar 2023
Scientific Reports

Volume: 13, P: 1-9

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Inferring time-varying generation time, serial interval, and incubation period distributions for COVID-19

Investigating setting-specific superspreading potential and generation intervals of COVID-19 in Hong Kong

Author Correction: Inferring time-varying generation time, serial interval, and incubation period distributions for COVID-19

Modelling the effectiveness of an isolation strategy for managing mpox outbreaks with variable infectiousness profiles

Implications of the school-household network structure on SARS-CoV-2 transmission under school reopening strategies in England

Dynamics of non-household contacts during the COVID-19 pandemic in 2020 and 2021 in the Netherlands

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