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- Publisher Website: 10.21203/rs.3.rs-32486/v1
- PMID: 32702717
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Others: Evolution of effective serial interval of SARS-CoV-2 by non-pharmaceutical interventions
Title | Evolution of effective serial interval of SARS-CoV-2 by non-pharmaceutical interventions |
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Authors | |
Keywords | SARS-CoV-2 COVID-19 Serial interval Transmission Control Public health |
Issue Date | 2020 |
Citation | Research Square, 2020, article no. rs.3.rs-32486 How to Cite? |
Abstract | Studies of novel coronavirus disease (COVID-19) have reported varying estimates of epidemiological parameters such as serial intervals and reproduction numbers. By compiling a unique line-list database of transmission pairs in mainland China, we demonstrated that serial intervals of COVID-19 have shortened substantially from a mean of 7.8 days to 2.6 days within a month. This change is driven by enhanced non-pharmaceutical interventions, in particular case isolation. We also demonstrated that using real-time estimation of serial intervals allowing for variation over time would provide more accurate estimates of reproduction numbers, than by using conventional definition of fixed serial interval distributions. These findings are essential to improve the assessment of transmission dynamics, forecasting future incidence, and estimating the impact of control measures. |
Description | Preprints are preliminary reports that have not undergone peer review. They should not be considered conclusive, used to inform clinical practice, or referenced by the media as validated information. Published in Science, 2020, v. 369 n. 6507, p. 1106-1109. DOI: 10.1126/science.abc9004 |
Persistent Identifier | http://hdl.handle.net/10722/290826 |
PubMed Central ID |
DC Field | Value | Language |
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dc.contributor.author | Ali, ST | - |
dc.contributor.author | Wang, L | - |
dc.contributor.author | Lau, EHY | - |
dc.contributor.author | Xu, X | - |
dc.contributor.author | Du, Z | - |
dc.contributor.author | Wu, Y | - |
dc.contributor.author | Leung, GM | - |
dc.contributor.author | Cowling, BJ | - |
dc.date.accessioned | 2020-11-02T05:47:40Z | - |
dc.date.available | 2020-11-02T05:47:40Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Research Square, 2020, article no. rs.3.rs-32486 | - |
dc.identifier.uri | http://hdl.handle.net/10722/290826 | - |
dc.description | Preprints are preliminary reports that have not undergone peer review. They should not be considered conclusive, used to inform clinical practice, or referenced by the media as validated information. | - |
dc.description | Published in Science, 2020, v. 369 n. 6507, p. 1106-1109. DOI: 10.1126/science.abc9004 | - |
dc.description.abstract | Studies of novel coronavirus disease (COVID-19) have reported varying estimates of epidemiological parameters such as serial intervals and reproduction numbers. By compiling a unique line-list database of transmission pairs in mainland China, we demonstrated that serial intervals of COVID-19 have shortened substantially from a mean of 7.8 days to 2.6 days within a month. This change is driven by enhanced non-pharmaceutical interventions, in particular case isolation. We also demonstrated that using real-time estimation of serial intervals allowing for variation over time would provide more accurate estimates of reproduction numbers, than by using conventional definition of fixed serial interval distributions. These findings are essential to improve the assessment of transmission dynamics, forecasting future incidence, and estimating the impact of control measures. | - |
dc.language | eng | - |
dc.relation.ispartof | Research Square | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | SARS-CoV-2 | - |
dc.subject | COVID-19 | - |
dc.subject | Serial interval | - |
dc.subject | Transmission | - |
dc.subject | Control | - |
dc.subject | Public health | - |
dc.title | Evolution of effective serial interval of SARS-CoV-2 by non-pharmaceutical interventions | - |
dc.type | Others | - |
dc.identifier.email | Ali, ST: alist15@hku.hk | - |
dc.identifier.email | Lau, EHY: ehylau@hku.hk | - |
dc.identifier.email | Du, Z: zwdu@hku.hk | - |
dc.identifier.email | Leung, GM: gmleung@hku.hk | - |
dc.identifier.email | Cowling, BJ: bcowling@hku.hk | - |
dc.identifier.authority | Ali, ST=rp02673 | - |
dc.identifier.authority | Lau, EHY=rp01349 | - |
dc.identifier.authority | Du, Z=rp02777 | - |
dc.identifier.authority | Leung, GM=rp00460 | - |
dc.identifier.authority | Cowling, BJ=rp01326 | - |
dc.description.nature | preprint | - |
dc.identifier.doi | 10.21203/rs.3.rs-32486/v1 | - |
dc.identifier.pmid | 32702717 | - |
dc.identifier.pmcid | PMC7336698 | - |
dc.identifier.hkuros | 318571 | - |
dc.identifier.spage | article no. rs.3.rs-32486 | - |
dc.identifier.epage | article no. rs.3.rs-32486 | - |