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American Journal of Epidemiology 2004 160(8):719-728; doi:10.1093/aje/kwh273
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Copyright © 2004 by the Johns Hopkins Bloomberg School of Public Health

SPECIAL ARTICLE

Predicting Super Spreading Events during the 2003 Severe Acute Respiratory Syndrome Epidemics in Hong Kong and Singapore

Yuguo Li1 , Ignatius T. S. Yu2, Pengcheng Xu3, J. H. W. Lee4, Tze Wai Wong2, Peng Lim Ooi5,6 and Adrian C. Sleigh7

1 Department of Mechanical Engineering, University of Hong Kong, Hong Kong, People’s Republic of China.
2 Department of Community and Family Medicine, Chinese University of Hong Kong, Hong Kong, People’s Republic of China.
3 Institute of Applied Mathematics, Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences, Beijing, China.
4 Department of Civil Engineering, University of Hong Kong, Hong Kong, People’s Republic of China.
5 Disease Control Branch, Ministry of Health, Singapore.
6 Department of Building, National University of Singapore, Singapore.
7 National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.

One of the intriguing characteristics of the 2003 severe acute respiratory syndrome (SARS) epidemics was the occurrence of super spreading events (SSEs). Here, the authors report the results of identifying the occurrence of SSEs in the Hong Kong and Singapore epidemics using mathematical and statistical analysis. Their predicted occurrence of SSEs agreed well with the reported occurrence of all seven super spreaders in the two cities. Additional unidentified SSEs were also found to exist. It was found that 71.1% and 74.8% of the infections were attributable to SSEs in Hong Kong and Singapore, respectively. There also seemed to be "synchronized" occurrences of infection peaks in both the community and the hospitals in Hong Kong. The results strongly suggested that the infection did not depend on the total number of symptomatic cases, with only a very small proportion of symptomatic individuals being shown to be infectious (i.e., able to infect other individuals). The authors found that the daily infection rate did not correlate with the daily total number of symptomatic cases but with the daily number of symptomatic cases who were not admitted to a hospital within 4 days of the onset of symptoms.

disease outbreaks; disease transmission; infection; severe acute respiratory syndrome

Abbreviations: Abbreviations: SARS, severe acute respiratory syndrome; SSE, super spreading event.


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