The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Epidemiological determinants of spread of causal agent of severe acute respiratory syndrome in Hong Kong
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“However, there were substantial variations among studies, with no clear indication of what factors might drive such heterogeneity (appendix 1 pp 58, 65), except that the delay reduced over time because of improved population awareness.75”
From Severe acute respiratory syndrome (SARS) mathematical models and disease parameters: a systematic review (2025) · cites this paper as [75]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Coronavirus as a possible cause of severe acute respiratory syndrome
Peiris, M. J. S., Lai, S., Poon, L. L. M., Guan, Y., Yam, L., Lim, W., Nicholls, J. M., Yee, W., Yan, W., Cheung, M., et al. (2003) · The Lancet · doi:10.1016/s0140-6736(03)13077-2 · Cited by 2,916
Self-citationA Cluster of Cases of Severe Acute Respiratory Syndrome in Hong Kong
TSANG, K. W. T., Ho, P., OOI, G. C., Yee, W. K. S., Wang, T., Chan-Yeung, M. M. W., Lam, W. K., Seto, W., Yam, L. Y.-C., CHEUNG, T. M., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa030666 · Cited by 1,018
Severe acute respiratory syndrome (SARS) in Hong Kong
TSANG, K. W. T., Mok, T., Wong, P. C., & OOI, G. C. (2003) · Respirology · doi:10.1046/j.1440-1843.2003.00486.x · Cited by 19
Cited by
Sorted by citations
Items 701–800 of 932
Seroprevalence of SARS Coronavirus Among Residents Near a Hospital with a Nosocomial Outbreak
Tsai, M., Lin, T., Chiu, C., Lin, P.-Y., Huang, Y., Tsao, K., Huang, C., Hsu, K., Lin, M., Hwang, K., et al. (2008) · Journal of the Formosan Medical Association · doi:10.1016/s0929-6646(08)60205-3 · Cited by 3
Emergence, transmission and evolution of an uncommon enemy: Tasmanian devil facial tumour disease
Jones, M. E., Hamede, R., Storfer, A. T., Hohenlohe, P. A., Murchison, E. P., & McCallum, H. I. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316479964.011 · Cited by 3
¿Qué lecciones nos dejará el covid-19?: Historia de los nuevos coronavirus
Pulcha-Ugarte, R., Pizarro-Lau, M., Gastelo-Acosta, R., & Vargas, C. P. M. (2020) · Boletín de la Sociedad Peruana de Medicina Interna/Revista de la Sociedad Peruana de Medicina Interna · doi:10.36393/spmi.v33i2.523 · Cited by 3
Acute Respiratory Distress Syndrome: Focus on Viral Origin and Role of Pulmonary Lymphatics
Fröhlich, E. (2021) · Biomedicines · doi:10.3390/biomedicines9111732 · Cited by 3
Suman, T. Y., Keerthiga, R., Renuka, R. R., Jacintha, A., & Jeon, J. (2022) · Toxics · doi:10.3390/toxics10080440 · Cited by 3
SARS Coronavirus Pathogenesis and Therapeutic Treatment Design
Sheahan, T. P., & Baric, R. S. (2009) · Springer eBooks · doi:10.1007/978-3-642-03683-5_13 · Cited by 4
Síndrome respiratorio agudo grave: ¿final o paréntesis de una epidemia?
Domı́nguez, Á., Gudiol, F., Pumarola, T., & Salleras, L. (2003) · Medicina Clínica · doi:10.1016/s0025-7753(03)73942-6 · Cited by 3
Severe acute respiratory syndrome surveillance in Australia
Fielding, J., Yohannes, K., Vally, H., & Spencer, J. D. (2004) · Communicable Diseases Intelligence · doi:10.33321/cdi.2004.28.15 · Cited by 3
“The age distribution of people under investigation as suspect and probable cases in Australia (Figure 2) is very different to that observed in SARS-affected countries where there were few cases in children and modal age groups were between 20 and 40 years.(6,7) This distribution most likely represents a generalised pa…”
ResultEffect of Treatment on Transmission Dynamics of SARS Epidemic
Naheed, A. (2016) · Infectious & Non Infectious Diseases · doi:10.24966/inid-8654/100016 · Cited by 3
An SIQ delay differential equations model for disease control via isolation
Ruschel, S., Pereira, T., Yanchuk, S., & Young, L.-S. (2019) · Journal of Mathematical Biology · doi:10.1007/s00285-019-01356-1 · Cited by 3
Smart City: A Perspective of Emergency and Resilience at a Community Level in Shanghai
Shi, X., Sun, W.-C., Voß, S., & Jin, J. G. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-59747-4_34 · Cited by 3
Budwong, A., Auephanwiriyakul, S., & Theera‐Umpon, N. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18158153 · Cited by 3
Review of materials and testing methods for virus filtering performance of face mask and respirator
Neupane, B. B., & Giri, B. (2021) · PeerJ Materials Science · doi:10.7717/peerj-matsci.17 · Cited by 3
“, 2009) and severe acute respiratory syndrome coronavirus-1 (SARS-CoV-1) in 2002‒2003 (Donnelly et al., 2003).”
BackgroundDam–Infant Rhesus Macaque Pairs to Dissect Age-Dependent Responses to SARS-CoV-2 Infection
Langel, S. N., Garrido, C., Phan, C. T., Travieso, T., Kirshner, H., DeMarco, T., Ma, Z.-M., Reader, J. R., Olstad, K. J., Sammak, R. L., et al. (2022) · ImmunoHorizons · doi:10.4049/immunohorizons.2200075 · Cited by 3
Syndrome respiratoire aigu sévère : une épidémie singulière de pneumonie virale
Guihot, A., Bricaire, F., Li, T., & Bossi, P. (2004) · La Presse Médicale · doi:10.1016/s0755-4982(04)98581-8 · Cited by 3
Mucosal immunisation and immunoprophylaxis as potential strategies for prevention of SARS
Foxwell, A., & Cripps, A. (2004) · The Lancet · doi:10.1016/s0140-6736(04)16535-5 · Cited by 3
Actualités sur le syndrome respiratoire aigu sévère
Bossi, P., Guihot, A., Ansart, S., & Bricaire, F. (2003) · La Revue de Médecine Interne · doi:10.1016/s0248-8663(03)00262-5 · Cited by 3
Severe acute respiratory syndrome
Rezza, G. (2003) · Journal of Epidemiology & Community Health · doi:10.1136/jech.57.9.643 · Cited by 3
“and in Hanoi, where WHO officer Carlo Urbani recommended that stringent measures be adopted immediately after he identified the disease, the outbreak was contained within a few weeks. The group of Roy Anderson of Imperial College in London has emphasised that the spread of infection has been successfully limited becau…”
Bricaire, F., & Bossi, P. (2006) · Bulletin de l Académie Nationale de Médecine · doi:10.1016/s0001-4079(19)33293-5 · Cited by 3
On the fallibility of simulation models in informing pandemic responses – Authors' reply
Hellewell, J., Funk, S., & Eggo, R. M. (2020) · The Lancet Global Health · doi:10.1016/s2214-109x(20)30217-5 · Cited by 3
Wei, X., Su, J., Lin, Y., Wei, J., Wan, H., Cao, X., Tan, W., & Wang, H. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3552854 · Cited by 3
Morgenstern, C., Rawson, T., Routledge, I., Kont, M. D., Imai, N., Skarp, J. E., Doohan, P., McCain, K., Johnson, R., Unwin, H. J. T., et al. (2024) · medRxiv · doi:10.1101/2024.08.13.24311934 · Cited by 3
Huang, Q., Kang, L., Wei, X., Gong, C., Xie, H., Li, M., Wang, Y., Dong, M., & Huang, F. (2025) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2025.107926 · Cited by 2
The potential of targeted antibody prophylaxis in SARS outbreak control: A mathematic analysis
Bogaards, J. A., Putter, H., Weverling, G. J., ter Meulen, J., & Goudsmit, J. (2006) · Travel Medicine and Infectious Disease · doi:10.1016/j.tmaid.2006.01.007 · Cited by 2
Conflicts of Interest during Contact Investigations: A Game-Theoretic Analysis
Sippl-Swezey, N., Enanoria, W. T. A., & Porco, T. C. (2014) · Computational and Mathematical Methods in Medicine · doi:10.1155/2014/952381 · Cited by 2
“With the recent emergence of avian influenza A (H7N9) virus in humans in China [13, 14] and a novel coronavirus in the United Kingdom in connection with travel to the Middle East [15], contact tracing continues to play an important role in epidemiological investigations of emerging infectious…”
BackgroundSTOCHASTIC PROCESSES AND THEIR APPLICATIONS IN MEDICAL SCIENCE
FANG, J., & LI, C. (2003) · WORLD SCIENTIFIC eBooks · doi:10.1142/9789812388759_0026 · Cited by 2
Ward, C., Heydon, M., Lakin, I., Sullivan, A. J., & SIRIWARDENA, G. M. (2022) · Journal of Zoology · doi:10.1111/jzo.13010 · Cited by 2
Abdalla, M., & Anter, A. M. (2023) · Springer eBooks · doi:10.1007/978-3-031-45952-8_5 · Cited by 2
Demers, J., Fagan, W. F., Potluri, S., & Calabrese, J. M. (2025) · Mathematical Biosciences · doi:10.1016/j.mbs.2025.109432 · Cited by 2
Síndrome Respiratorio Agudo Severo: la primera epidemia del siglo XXI
Castro-Sansores, C. J., & Góngora-Biachi, R. A. (2003) · REVISTA BIOMÉDICA · doi:10.32776/revbiomed.v14i2.346 · Cited by 2
Rachlis, B., Cole, D. C., van Lettow, M., & Escobar, M. D. (2016) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-016-0290-7 · Cited by 2
“CDFs have been used and previously applied in multiple epidemiologic studies including those related to spatial analysis and environmental epidemiology [19–21], surveillance and complex models of disease transmission [22, 23], and studies involving clinical decision-making [14, 24–27].”
MethodSevere acute respiratory syndrome coronavirus
Hui, D. S., & Lee, N. L. S. (2016) · European Respiratory Society eBooks · doi:10.1183/2312508x.10009915 · Cited by 2
Tripathi, A., Pandey, A. B., Singh, A. K., Jain, A., Tyagi, V., & Vashist, P. C. (2021) · Springer eBooks · doi:10.1007/978-3-030-79753-9_6 · Cited by 2
Brinkworth, J. F., & Rusen, R. M. (2022) · Annual Review of Anthropology · doi:10.1146/annurev-anthro-041420-100047 · Cited by 2
Modelling the SARS outbreak in Hong Kong with small world or scale free networks
SMALL, M. P., & Tse, C. K. (2004) · PolyU Institutional Research Archive (Hong Kong Polytechnic University) · Cited by 2
An oral mucosal DNA vaccine for SARS coronavirus infections.
Yuen, K., Woo, P. C. Y., & Lau, S. K. P. (2009) · PubMed · Cited by 2
Severe Acute Respiratory Syndrome in a Naval Diver
Chim, H., Soo, K. H., Low, E. C.-T., & Chan, G. C. T. (2006) · Military Medicine · doi:10.7205/milmed.171.6.491 · Cited by 2
“6 The primary mode of transmission is through direct or indirect contact with mucous membranes through infectious respiratory droplets and fomites.”
BackgroundHwang, S., & Oh, C.-H. (2016) · Journal of the Korean Data and Information Science Society · doi:10.7465/jkdi.2016.27.3.599 · Cited by 2
Spatiotemporal transmission for Sudden Oak Death in Yunnan
Fang, Z., Wei, J. I., & Cao, C. (2016) · Chinese Science Bulletin (Chinese Version) · doi:10.1360/n972015-00125 · Cited by 2
“微分方程模型只针对传染病在时间上的 传播特征进行建模 , 并未考虑传染病空间流行过程 的变化特征 , 且都属于确定性模型 , 忽略了随机因素 [16,17] , 不仅 可在时空上对传播情况进行建模 , 亦可引入随机因 素对传播特征进行全面研究 .”
Covid-19 (SARS-CoV-2) VS Sars-CoV; Summary of all things that healthcare providers should know
Zahraei, S. A. H. (2020) · American Journal of Biomedical Science & Research · doi:10.34297/ajbsr.2020.08.001305 · Cited by 2
Analysis of an age-structured dengue model with multiple strains and cross immunity
Zheng, T., Nie, L., Teng, Z., Luo, Y., & Wang, S. (2021) · Electronic journal of qualitative theory of differential equations · doi:10.14232/ejqtde.2021.1.50 · Cited by 2
The Hybrid Incidence Susceptible-Transmissible-Removed Model for Pandemics
Benjamin, R. L. (2022) · Acta Biotheoretica · doi:10.1007/s10441-021-09431-1 · Cited by 2
Characteristics of B Cells and B Cell Responses in Aged Individuals
Mei, H. E., & Radbruch, A. (2011) · Springer eBooks · doi:10.1007/978-3-0346-0219-8_4 · Cited by 2
“During the 2002-2003 severe acute respiratory syndrome (SARS) outbreak, the patient's age was strongly associated with outcome, i.e., the fatality rate was more than 3 times higher in people over 60 years of age as compared with people under 60 years of age [13] .”
El síndrome respiratorio agudo severo
Madariaga, M. G., & Gotuzzo, E. (2004) · Revista Clínica Española · doi:10.1016/s0014-2565(04)71471-x · Cited by 2
Galvani, A. P., Lei, X. J., & Jewell, N. P. (2003) · Collection of Biostatistics Research Archive · Cited by 2
Real-Time Estimation of the Case Fatality Ratio and Risk Factors of Death
Nishiura, H. (2017) · Handbook of statistics · doi:10.1016/bs.host.2017.05.002 · Cited by 2
“During the epidemic of SARS, confirmed or probable cases aged 60 years or older were found to be at greater risk of death than younger cases by conducting a real-time analysis (Donnelly et al., 2003) .”
InfluentialSharma, M., & Bangotra, P. (2020) · Nature Environment and Pollution Technology · doi:10.46488/nept.2020.v19i04.030 · Cited by 2
Association of serum interleukin 6 levels with clinical outcome of COVID-19 associated mucormycosis
Sivasankaran, R., Mallesh, P., Chikkaiah, P. B., Zuhadulla, M., & Bhagvath, B. (2021) · International Journal of Advances in Medicine · doi:10.18203/2349-3933.ijam20213196 · Cited by 2
The potential impact of SARS on organ transplantation: Exercise caution
Allen, U., & Management, M. O. T. S. I. A. (2003) · Pediatric Transplantation · doi:10.1034/j.1399-3046.2003.00104.x · Cited by 2
“This epidemiologic link takes into account the incubation period of SARS, which is usually up to 10 days (11).”
BackgroundPneumonie virale sévère de l'immunocompétent
Guery, B. P., d’Escrivan, T., Georges, H., Legout, L., LEROY, O., Viget, N. B., & Faure, K. (2004) · Réanimation · doi:10.1016/j.reaurg.2004.02.009 · Cited by 2
“[85] Donnelly CA, Ghani AC, Leung GM, Hedley AJ, Fraser C, Riley S, et al.”
BackgroundPrevent the resurgence of infectious disease with asymptomatic carriersPreprint
Zhang, Z. (2020) · medRxiv · doi:10.1101/2020.04.16.20067652 · Cited by 2
Yadav, S. K., Zhao, S., & Akhter, Y. (2021) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2021.12.310 · Cited by 2
Human Challenge Studies with Coronaviruses Old and New
McKendry, R., Lemm, N., Papargyris, L., & Chiu, C. (2021) · Current topics in microbiology and immunology · doi:10.1007/82_2021_247 · Cited by 1
von Overbeck, J. (2006) · Palgrave Macmillan UK eBooks · doi:10.1007/978-1-349-56632-7_34 · Cited by 1
SARS, MERS, nSARS-CoV-2 infections and diseases: Emerging threats to public health
Verma, M. K., Verma, Y. K., & Rao, M. V. R. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-99596-2.00017-0 · Cited by 1
Monitoring the Relationship between Social Network Status and Influenza Based on Social Media Data
Yan, Q., Shan, S., Zhang, B., Sun, W., Sun, M., Luo, Y., Zhao, F., & Guo, X. (2023) · Disaster Medicine and Public Health Preparedness · doi:10.1017/dmp.2023.117 · Cited by 1
Current Status and Challenges of Vaccine Development for Seasonal Human Coronaviruses
Zhang, B., Liu, Y., Chen, T., Lai, J., Liu, S., Liu, X., Zhu, Y., Rao, H., Peng, H., & Ma, X. (2025) · Vaccines · doi:10.3390/vaccines13111168 · Cited by 2
Self-citationRational design of an optimized ferritin nanoparticle vaccine targeting both SARS-CoV-2 and MERS-CoV
Liu, Y., Rao, H., Wang, N., Liu, X., Chen, T., Zhang, B., Lai, J., Shan, J., Xiao, S., Peng, H., et al. (2026) · Journal of Nanobiotechnology · doi:10.1186/s12951-026-04738-y · Cited by 1
“Between 2002 and 2003, approximately 8,096 cases of SARS-CoV infection were reported, including 774 deaths [2].”
Self-citationInfections respiratoires virales émergentes
Foulongne, V., & Segondy, M. (2007) · Revue Francophone des Laboratoires · doi:10.1016/s1773-035x(07)80365-0 · Cited by 1
“II semble de plus que la majorite des individus infect~s ne soient pas transmetteurs de la maladie [12] .”
BackgroundSpecific features of the contact history of probable cases of severe acute respiratory syndrome.
Liang, W. N., Liu, M., Chen, Q., Liu, Z. J., He, X., & Xie, X. Q. (2005) · PubMed · Cited by 1
Intensivpflichtige Virusinfektionen der unteren Atemwege
Drick, N., & Welte, T. (2016) · Intensivmedizin up2date · doi:10.1055/s-0041-110072 · Cited by 1
REPORTING, SURVEILLANCE, AND INFORMATION EXCHANGE: THE SARS IMPERATIVE FOR INNOVATION
Kimball, A. M., Lober, B. M., Kobayashi, J., Arima, Y., Fox, L., Brown, J., & Pautlet, N. F. (2004) · Cited by 1
The Ebola Epidemic and Cholera Outbreak and The International Response
Roberts, R. B. (2017) · Medicine Law & Society · doi:10.18690/2463-7955.10.2.105-120.2017 · Cited by 1
SARS-CoV-2, SARS and MERS: Three formidable coronaviruses which have originated from bats
Mirzaei, A., & Moghim, S. (2021) · Postępy Higieny i Medycyny Doświadczalnej · doi:10.5604/01.3001.0014.7476 · Cited by 1
Bibliometric Analysis Of Research on Coronavirus Infection and Patient Safety in Health Care
Nascimento, G. C., dos Santos, G. M., Moura, S. R. B., de Carvalho, A. R. B., Andrade, L. D. S., Moura, L. K. B., Mendes, F. R. P., Moreira, M. A. S. P., & Moura, M. E. B. (2021) · The Open Nursing Journal · doi:10.2174/1874434602115010373 · Cited by 1
A review: novel coronavirus (COVID-19): an evidence-based approach
Sharma, P., Gupta, S., Goel, N., Gupta, A., Saini, V., & Sharma, N. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-824473-9.00007-0 · Cited by 1
The impact of contact tracing on the spread of COVID-19: an egocentric agent-based model
Pilny, A. N., Xiang, L., Huber, C. J., Silberman, W. R., & Goatley-Soan, S. (2021) · Connections · doi:10.21307/connections-2021.022 · Cited by 1
“Contact tracing has been employed in infectious diseases caused by various pathogens (e.g., STIs, Macke and Maher, 1999; SARS: Donnelly et al., 2003; TB: Mandalakas et al., 2017).”
Methods and Directions of Contact Tracing in Epidemic Discovery
Abdalla, M., AbdelAziz, A. M., Alarabi, L., Basalamah, S. M., & Hendawi, A. (2022) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2022.0130698 · Cited by 1
“Authors in [37] study the spread of the severe acute respiratory syndrome (SARS) in Hong Kong in 2003.”
BackgroundEffects of Contact Tracing and Self-Reporting in a Network Disease Model
Gandhi, P., Robert, M. A., Palacios, J. L., & Chan, D. M. (2023) · Letters in Biomathematics · doi:10.30707/lib9.1.1681913305.219107 · Cited by 1
Analysis of radiation diffusion of COVID-19 driven by social attributes
Nian, F., 杨, X. 晓. Y., & Shi, Y. (2023) · Chinese Physics B · doi:10.1088/1674-1056/acd7d1 · Cited by 1
Time series model for predicting the mean death rate of a disease
Shangodoyin, D. K., Ojo, J. F., Olaomi, J. O., & A, A. O. (2013) · Statistics in Transition New Series · doi:10.59170/stattrans-2012-031 · Cited by 1
Prevalence of SARS-CoV antibody in all Hong Kong patient contacts.
Leung, G. M., Ho, L., Lam, T., Hedley, A. J., & Peiris, M. J. S. (2009) · PubMed · Cited by 1
Self-citationSevere acute respiratory syndrome mimicking acute abdomen
Tjiu, C. S., Leung, K. F., & Leong, H. T. (2004) · ANZ Journal of Surgery · doi:10.1046/j.1445-2197.2004.02977.x · Cited by 1
“1 The disease, which is believed to be caused by a novel coronavirus 2 can present differently in each patient.”
BackgroundImpact of the spread of infectious disease on economic development: a study in risk management
Lin, Y. C. (2009) · International Journal of Risk Assessment and Management · doi:10.1504/ijram.2009.023153 · Cited by 1
“Since then, SARS spread at an alarming rate around the world (Donnelly et al., 2003).”
BackgroundDisease transmission in heterogeneous populations
Lloyd‐Smith, J. O. (2005) · Cited by 1
The Epidemiology of Severe Acute Respiratory Syndrome: A Global Perspective
Evans, M. R. (2001) · Cambridge University Press eBooks · doi:10.1017/cbo9780511545344.002 · Cited by 1
Kuru, T., & Asrat, D. (2004) · Ethiopian Journal of Health Development · Cited by 1
S3H: a symptom surveillance system in high spatial resolution using smartphones
Huang, H., & Sun, Y. (2016) · Wireless Health · doi:10.1109/wh.2016.7764557 · Cited by 1
“Various methodological approaches have been used including statistical analysis [14]-[16], simulation [17], [18], mathematical modeling and differential equations [7]-[9] for modelling and simulation.”
MethodTeli, A., Ahmad, A., Azad, D., Ajmal, M., Sheikh, S., & Kumar, A. (2020) · ACTA SCIENTIFIC MICROBIOLOGY · doi:10.31080/asmi.2020.03.0593 · Cited by 1
Akhtar, N., Nawaz, N., Bibi, S., & Ahmad, M. D. (2020) · Microbes and Infectious Diseases /Microbes and Infectious Diseases · doi:10.21608/mid.2020.34805.1034 · Cited by 1
Akintunde Oyetunde, A. (2020) · International Journal of Mathematics Trends and Technology · doi:10.14445/22315373/ijmtt-v66i6p510 · Cited by 1
Technology as a Psychological Healer: A Digital War against Covid-19
Jaswal, P., Singla, S., Kaushik, N., & Guleri, T. S. (2020) · International Journal of Pharmaceutical Sciences Review and Research · doi:10.47583/ijpsrr.2020.v64i01.030 · Cited by 1
Soheili, M., Haji-Allahverdipoor, K., Khadem-Erfan, M. B., Baban, B., Nikkhoo, B., Eliasi, A., & Nasseri, S. (2020) · PubMed Central · doi:10.34171/mjiri.34.120 · Cited by 1
Severe Acute Respiratory Syndromes and Coronaviruses (SARS-CoV, MERS-CoV, and SARS-CoV-2)
Fevrier, B. (2021) · IntechOpen eBooks · doi:10.5772/intechopen.97564 · Cited by 1
Huang, Y., Li, Y., Tang, J., & Liu, S. (2021) · IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) · doi:10.1109/icce-asia53811.2021.9641906 · Cited by 1
Self-citationPoutanen, S. M. (2008) · Elsevier eBooks · doi:10.1016/b978-0-7020-3468-8.50228-5 · Cited by 1
Seroprevalence of SARS-COV-2 Antibodies in Medical Staff, South-West of Iran
Emami, A., Javanmardi, F., Pirbonyeh, N., Ghermezi, S. M., Rezaei, T., Bakhtiari, H., & Mansouri, A. (2021) · International journal of basic science in medicine · doi:10.34172/ijbsm.2021.20 · Cited by 1
Shahid, A., Shahid, S., Ashraf, M., & Saeed, K. (2022) · Pakistan Journal of Medical Sciences · doi:10.12669/pjms.38.3.4753 · Cited by 1
Suspected Cases of Corona Virus at Tobruck Medical Center in Eastern Part of Libya
(2020) · Current Science International · doi:10.36632/csi/2020.9.2.24 · Cited by 1
A Kind of Time-Delayed COVID-19 Dynamical Model with Vaccination
Li, C., & Lu, J. (2022) · Applied Mathematics · doi:10.4236/am.2022.134025 · Cited by 1
Zhou, B.-P., Lu, P.-X., Chen, Q., Xiao-Ping, T., Yu-juan, G., Jin-Xin, L., Xing, L., Zhenwei, L., & Chen, X. (2015) · Springer eBooks · doi:10.1007/978-94-017-7363-8_2 · Cited by 1
Clarke, T. (2003) · Nature · doi:10.1038/news030505-4 · Cited by 1
“dtd"[ ]> Nearly half of the elderly people admitted to hospital with severe acute respiratory syndrome (SARS) die from the disease, according to the most thorough analysis of the outbreak so fa”
BackgroundEpidemiology and Transmission of SARS
Merianos, A., Condon, R. J., Oshitani, H., Werker, D. H., & Andraghetti, R. (2005) · doi:10.1002/9780470755952.ch13 · Cited by 1
Networked models for SARS and avian influenza
Fu, X., SMALL, M. P., & Chen, G. (2014) · doi:10.1002/9781118762783.ch4 · Cited by 1
Transmission Dynamics and Control of the Viral Aetiological Agent of SARS
Leung, G. M., Hedley, A. J., Lam, T. H., Ghani, A. C., Donnelly, C. A., Fraser, C., Riley, S., Ferguson, N. M., & Anderson, R. M. (2005) · Wiley eBooks · doi:10.1002/9780470755952.ch14 · Cited by 2
Self-citationA model of underground ridership during the severe outbreaks of the SARS epidemic in a modern cityPreprint
Wang, K.-Y. (2008) · arXiv (Cornell University) · doi:10.48550/arxiv.0811.2464 · Cited by 1
“There are other major cities such as Hong Kong, Singapore, and Beijing all contain massive underground systems and were impacted by the 2003 epidemics (19, 20, 21) .”
BackgroundPharmakotherapie bei Schwerem Akutem Respiratorischem Syndrom (SARS)
Hagen, L., Pletz, M. W., Dickgreber, N., Golpon, H. A., Bauer, T. T., Zabel, P., Welte, T., & Groneberg, D. A. (2006) · Pneumologie · doi:10.1055/s-2006-944278 · Cited by 1
McGeer, A. (2004) · Clinical Infectious Diseases · doi:10.1086/421784 · Cited by 1
El síndrome respiratorio agudo grave: primera pandemia del siglo XXI
Avilés, F. F., & Vaqué, J. (2004) · Anales de Pediatría · doi:10.1016/s1695-4033(04)78318-6 · Cited by 1
It's all in the mix: infection transmission in populations
Wood, J. L. N., Newton, J. R., Daly, J. M., Park, A. W., & Mumford, J. A. (2003) · Equine Veterinary Journal · doi:10.2746/042516403775467315 · Cited by 1
Metadata
- 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
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2003-05
- Volume
- 361
- Issue
- 9371
- Pages
- 1761-1766
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- 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
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
