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The timing of COVID-19 transmission
Open accessAbstract
The timing of SARS-CoV-2 transmission is a critical factor to understand the epidemic trajectory and the impact of isolation, contact tracing and other non-pharmaceutical interventions on the spread of COVID-19 epidemics. We examined the distribution of transmission events with respect to exposure and onset of symptoms. We show that for symptomatic individuals, the timing of transmission of SARS-CoV-2 is more strongly linked to the onset of clinical symptoms of COVID-19 than to the time since infection. We found that it was approximately centered and symmetric around the onset of symptoms, with three quarters of events occurring in the window from 2-3 days before to 2-3 days after. However, we caution against overinterpretation of the right tail of the distribution, due to its dependence on behavioural factors and interventions. We also found that the pre-symptomatic infectious period extended further back in time for individuals with longer incubation periods. This strongly suggests that information about when a case was infected should be collected where possible, in order to assess how far into the past their contacts should be traced. Overall, the fraction of transmission from strictly pre-symptomatic infections was high (41%; 95%CI 31-50%), which limits the efficacy of symptom-based interventions, and the large fraction of transmissions (35%; 95%CI 26-45%) that occur on the same day or the day after onset of symptoms underlines the critical importance of individuals distancing themselves from others as soon as they notice any symptoms, even if they are mild. Rapid or at-home testing and contextual risk information would greatly facilitate efficient early isolation.
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Luca Ferretti, A., Wymant, C., Nurtay, A., Zhao, L., Hinch, R., Bonsall, D., Kendall, M., Masel, J., Bell, J. I., Hopkins, S., et al. (2021) · medRxiv · doi:10.1101/2021.08.06.21261725 · Cited by 6
Self-citationPung, R., Russell, T., & Kucharski, A. J. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011967 · Cited by 4
Transmission dynamics and timing of key events for SARS-CoV-2 infection in healthcare workers
Emecen, A. N., ŞENSOY, E. B., Sezgin, E., Ustuner, B. Y., Keskin, S., Şiyve, N., Celik, S. G., Bayrak, G., Durukan, N. Ş., Beyan, A. Ç., et al. (2021) · Scandinavian Journal of Infectious Diseases · doi:10.1080/23744235.2021.1900599 · Cited by 5
Sebastián, V. P., Moreno‐Tapia, D., Melo-González, F., Hernández‐Cáceres, M. P., Salazar, G. A., Pardo‐Roa, C., Farías, M. A., Vallejos, O. P., Schultz, B. M., Morselli, E., et al. (2022) · Antioxidants · doi:10.3390/antiox11061040 · Cited by 5
Semi-parametric estimation of incubation and generation times by means of Laguerre polynomials
Kreiß, A., & Keilegom, I. V. (2022) · Journal of nonparametric statistics · doi:10.1080/10485252.2022.2028281 · Cited by 5
Wells, C. R., Pandey, A., Gokcebel, S., Krieger, G. R., Donoghue, A. M., Singer, B. H., Moghadas, S. M., Galvani, A. P., & Townsend, J. P. (2022) · PNAS Nexus · doi:10.1093/pnasnexus/pgac100 · Cited by 4
Zhang, X., Xiong, H., Chen, Z., & Liu, W. (2022) · Tropical Medicine and Infectious Disease · doi:10.3390/tropicalmed7090227 · Cited by 5
Estimating event ban effects on COVID-19 outbreak in JapanPreprint
Kurita, J., Sugawara, T., & Ohkusa, Y. (2021) · medRxiv · doi:10.1101/2020.12.29.20248977 · Cited by 5
The importance of timely contact tracing — A simulation study
Mettler, S. K., Park, J., Özbek, O., Mettler, L. K., Ho, P., Rhim, H. C., & Maathuis, M. H. (2021) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2021.04.029 · Cited by 4
Analyzing the Trends of COVID-19 and Human Activity Intensity in Malaysia
Chin, W. C. B., & Chan, C. (2023) · Tropical Medicine and Infectious Disease · doi:10.3390/tropicalmed8020072 · Cited by 4
Estimating generation time of SARS-CoV-2 variants in Italy from the daily incidence rate
Lippiello, E., Petrillo, G., Baccari, S., & de Arcangelis, L. (2023) · Scientific Reports · doi:10.1038/s41598-023-38327-y · Cited by 4
Ecological and Evolutionary Insights About Emerging Infectious Diseases from the COVID-19 Pandemic
Kilpatrick, A. M. (2023) · Annual Review of Ecology Evolution and Systematics · doi:10.1146/annurev-ecolsys-102320-101234 · Cited by 4
Self-citationFinch, E., Nilles, E. J., Paulino, C. T., Skewes-Ramm, R., Lau, C. L., Lowe, R., & Kucharski, A. J. (2023) · medRxiv · doi:10.1101/2023.10.05.23296586 · Cited by 4
Infectious quanta generation rates of SARS-CoV-2 variants throughout the infection course
Cheng, P., Yen, H., & Li, Y. (2025) · Building and Environment · doi:10.1016/j.buildenv.2025.113333 · Cited by 3
Within-host dynamics of antiviral treatment with remdesivir for SARS-CoV-2 infection
Schuh, L., Markov, P. V., Voulgaridi, I., Bogogiannidou, Z., Mouchtouri, V. Α., Hadjichristodoulou, C. S., & Stilianakis, N. I. (2024) · Journal of The Royal Society Interface · doi:10.1098/rsif.2024.0536 · Cited by 3
Funk, S., Abbott, S., & Kucharski, A. J. (2021) · medRxiv · doi:10.17605/osf.io/h6e8n · Cited by 3
Akopyan, G., Berdalin, A. B., Gubskiy, I. L., & Lelyuk, V. G. (2021) · Diagnostics · doi:10.3390/diagnostics11101937 · Cited by 2
Epidemiology of SARS-CoV-2 transmission and superspreading in Salt Lake County, Utah, March–May 2020
Walker, J. B., Tran, T., Lappe, B. L., Gastañaduy, P. A., Paul, P., Kracalik, I. T., Fields, V. L., Lopez, A. S., Schwartz, A. M., Lewis, N. M., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0275125 · Cited by 2
Rates of SARS-CoV-2 transmission between and into California state prisonsPreprint
Dubey, P., Hoover, C. M., Lu, P., Blumberg, S., Porco, T. C., Parsons, T. L., & Worden, L. (2023) · medRxiv · doi:10.1101/2023.08.24.23294583 · Cited by 2
Hunt, M. F., Clark, K. T., Geller, G., & Barnhill, A. (2020) · Journal of Medical Ethics · doi:10.1136/medethics-2020-106567 · Cited by 1
Xu-sheng, Z., Liu, W., Xiong, H., & Chen, Z. (2020) · Research Square · doi:10.21203/rs.3.rs-122395/v1 · Cited by 1
FLCCC Alliance MATH+ ascorbic acid and I-MASK+ ivermectin protocols for COVID-19 – A Brief ReviewPreprint
Turkia, M. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3723854
Metadata
- Authors
- Ferretti, L., Ledda, A., Wymant, C., Zhao, L., Ledda, V., Abeler-Dörner, L., Kendall, M., Nurtay, A., Cheng, H.-Y., Ng, T.-C., Lin, H.-H., Hinch, R., Masel, J., Kilpatrick, A. M., & Fraser, C.
- Affiliations
- Imperial College London (GB)
- University of Oxford (GB)
- Liverpool University Hospitals NHS Foundation Trust (GB)
- Taiwan Centers for Disease Control (TW)
- National Taiwan University (TW)
- University of California, Santa Cruz (US)
- Corresponding author
- Fraser, Christophe
- ORCID
- Venue
- medRxiv
- Publisher
- openRxiv
- Published
- 2020-09-07
- OpenAlex
- W3083050273
- Cited by
- 112
- References
- 52
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 6 · 2023: 17 · 2022: 30 · 2021: 44 · 2020: 9
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- medRxiv (acceptedVersion)
- SSRN Electronic Journal (acceptedVersion)
- Funders
- Li Ka Shing Foundation
- Topics
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 detection and testing
- Keywords
- SARS-CoV-2, pre-symptomatic transmission, incubation period, symptom onset, infectious period, contact tracing, isolation, non-pharmaceutical interventions, rapid testing
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