Cited by 940SARS-CoV-2 and COVID-19 ResearchViral Infections and Outbreaks ResearchCOVID-19 epidemiological studies

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Epidemiological determinants of spread of causal agent of severe acute respiratory syndrome in Hong Kong

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Donnelly, Christl A, Ghani, Azra C, Leung, Gabriel M, Hedley, Anthony J, Fraser, Christophe, Riley, Steven, Abu-Raddad, Laith J, Ho, Lai-Ming, Thach, Thuan-Quoc, Chau, Patsy, Chan, King-Pan, Lam, Tai-Hing, Tse, Lai-Yin, Tsang, Thomas, Liu, Shao-Haei, Kong, James HB, Lau, Edith MC, Ferguson, Neil M, Anderson, Roy M·2003·The Lancet

DOI 10.1016/s0140-6736(03)13410-1PMC PMC7112380

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Abstract

Background Health authorities worldwide, especially in the Asia Pacific region, are seeking effective public-health interventions in the continuing epidemic of severe acute respiratory syndrome (SARS). We assessed the epidemiology of SARS in Hong Kong.Methods We included 1425 cases reported up to April 28, 2003. An integrated database was constructed from several sources containing information on epidemiological, demographic, and clinical variables. We estimated the key epidemiological distributions: infection to onset, onset to admission, admission to death, and admission to discharge. We measured associations between the estimated case fatality rate and patients' age and the time from onset to admission.Findings After the initial phase of exponential growth, the rate of confirmed cases fell to less than 20 per day by April 28. Public-health interventions included encouragement to report to hospital rapidly after the onset of clinical symptoms, contact tracing for confirmed and suspected cases, and quarantining, monitoring, and restricting the travel of contacts. The mean incubation period of the disease is estimated to be 6.4 days (95% CI 5.2-7.7). The mean time from onset of clinical symptoms to admission to hospital varied between 3 and 5 days, with longer times earlier in the epidemic. The estimated case fatality rate was 13.2% (9.8-16.8) for patients younger than 60 years and 43.3% (35.2-52.4) for patients aged 60 years or older assuming a parametric gamma distribution. A non-parametric method yielded estimates of 6.8% (4.0-9.6) and 55.0% (45.3-64.7), respectively. Case clusters have played an important part in the course of the epidemic.Interpretation Patients' age was strongly associated with outcome. The time between onset of symptoms and admission to hospital did not alter outcome, but shorter intervals will be important to the wider population by restricting the infectious period before patients are placed in quarantine.

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Peer Review #1 of "Review of materials and testing methods for virus filtering performance of face mask and respirator (v0.1)"
(2021) · PeerJ Materials Science · doi:10.7287/peerj-matsci.17v0.1/reviews/1
“…Ebola virus in 2014(World Health Organization, 2014), Middle East respiratory syndrome coronavirus (MERS‒CoV) in 2012(Assiri et al., 2013), influenza pandemic (H1N1) in 2009(Yang et al., 2009) and severe acute respiratory syndrome coronavirus‒1 (SARS‒CoV‒1) in 2002‒2003 (Donnelly et al., 2003).”
Peer Review #3 of "Review of materials and testing methods for virus filtering performance of face mask and respirator (v0.2)"
(2021) · PeerJ Materials Science · doi:10.7287/peerj-matsci.17v0.2/reviews/3
Peer Review #2 of "Review of materials and testing methods for virus filtering performance of face mask and respirator (v0.3)"
(2021) · PeerJ Materials Science · doi:10.7287/peerj-matsci.17v0.3/reviews/2
Vaccines
Subbarao, K. (2005) · doi:10.1002/9780470755952.ch21
The impact of surgical mask-wearing, contact tracing program, and vaccination on COVID-19 transmission in Taiwan from January 2020 to March 2022: a modelling studyPreprint
Filonets, T., Solovchuk, M., & Gao, W. (2022) · medRxiv · doi:10.1101/2022.06.06.22276025
Quantitatively evaluate the impact of domestic aviation control measures on the spread of COVID-19 in China
Wang, Y., Li, K., Yuan, T., & Liu, Y. (2022) · Scientific Reports · doi:10.1038/s41598-022-21355-5

Authors: Donnelly, C. A., Ghani, A. C., Leung, G. M., Hedley, A. J., Fraser, C., Riley, S., Abu-Raddad, L. J., Ho, L.-M., Thach, T.-Q., Chau, P., Chan, K.-P., Lam, T.-H., Tse, L.-Y., Tsang, T., Liu, S.-H., Kong, J. H., Lau, E. M., Ferguson, N. M., & Anderson, R. M.
Affiliations: Imperial College London (GB)
University of Hong Kong (HK)
Department of Health (CN)
Hospital Authority (HK)
Chinese University of Hong Kong (HK)
ORCID: Donnelly, Christl A
Ghani, Azra C
Leung, Gabriel M
Fraser, Christophe
Riley, Steven
Abu-Raddad, Laith J
Ferguson, Neil M
Anderson, Roy M
Venue: The Lancet
Publisher: Elsevier BV
Published: 2003-05
Volume: 361
Issue: 9371
Pages: 1761-1766
ISSN: 0099-5355 (ISSN-L)
0140-6736
DOI: 10.1016/s0140-6736(03)13410-1
PMC: PMC7112380
OpenAlex: W1990049863
Cited by: 940
References: 3
Citations by year: 2026: 5 · 2025: 8 · 2024: 15 · 2023: 18 · 2022: 39 · 2021: 93 · 2020: 154 · 2019: 18 · 2018: 5 · 2017: 10 · 2016: 15 · 2015: 17 · 2014: 15 · 2013: 20 · 2012: 9
FWCI: 71.19
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: The Lancet (publishedVersion)
Europe PMC (PubMed Central) (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
LSHTM Research Online (London School of Hygiene and Tropical Medicine) (submittedVersion)
Funders: Howard Hughes Medical Institute
Wellcome Trust
Royal Society
Medical Research Council
Topics: Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
Health Sciences › Medicine › Infectious Diseases › Viral Infections and Outbreaks Research
Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
Keywords: SARS, Hong Kong SARS outbreak, incubation period, case fatality rate, age and mortality, contact tracing, quarantine, public health interventions, case clusters, infectious period
MeSH terms: Adolescent, Adult, Aged, Child, Child, Preschool, Disease Outbreaks, Female, Hong Kong, Humans, Infant, Male, Middle Aged, Quarantine, Incidence, Survival Rate, Likelihood Functions, Age Distribution, Disease Progression, Severe Acute Respiratory Syndrome

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Epidemiological determinants of spread of causal agent of severe acute respiratory syndrome in Hong Kong

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