Research article
A comparative epidemiologic analysis of SARS in Hong Kong, Beijing and Taiwan
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* Corresponding author: Benjamin J Cowling bcowling@hku.hk
1 School of Public Health, The University of Hong Kong, Pokfulam Road, Hong Kong
2 Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, 35, Keyan Road, Zhunan, Miaoli County 35053, Taiwan
3 Second Division of Centers for Disease Control, No 6, Linshen South Road., Taipei, Taiwan
4 Centre for Health Protection, Department of Health, Government of the Hong Kong Special Administrative Region, 147C Argyle Street, Kowloon, Hong Kong
5 MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College, St Mary's Campus, Norfolk Place, London W2 1PG, UK
BMC Infectious Diseases 2010, 10:50 doi:10.1186/1471-2334-10-50
Published: 6 March 2010Additional files
Additional file 1:
Characteristics of SARS patients in Hong Kong, Beijing and Taiwan. The associated case-fatality ratios and adjusted odds ratios (95% confidence intervals) are also reported. CFR, case fatality ratio; AOR, adjusted odds ratio; CI, confidence interval. * Patients with unknown age, pre-existing comorbid conditions or admission date were excluded. † Adjusted for sex, age, health care worker status, preexisting comorbid conditions and nosocomial infection. ‡ Data on final outcome were not available for 12 patients in Taiwan and were excluded for analysis. § The estimates were not shown as there was not more than 2 deaths in these age groups out of a relatively large number of patients. || Based on the WHO World Standard Population distribution [16].
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Additional file 2:
Characteristics of SARS patients in Hong Kong, Beijing and Taiwan (pooled data). The associated case-fatality ratios and adjusted odds ratios (95% confidence intervals) are also reported. CFR, case fatality ratio; AOR, adjusted odds ratio; CI, confidence interval. * Data on final outcome were not available for 12 patients in Taiwan and were excluded for analysis. Patients with unknown age, pre-existing comorbid conditions or admission date were excluded from multivariable logistic regression models. † Adjusted for sex, age, health care worker status, preexisting comorbid conditions, nosocomial infection and region. ‡ Based on the WHO World Standard Population distribution [16].
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Additional file 3:
Case fatality ratio by different onset-to-admission periods, Hong Kong, Beijing and Taiwan. CFR, case fatality ratio; CI, confidence interval. * Excluding 16 patients with unknown admission dates or discharge outcome.
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Additional file 4:
Case fatality ratio by different onset-to-admission periods in Beijing, XTS Hospital, Hospital 302 and Hospital 309. CFR, case fatality ratio; CI, confidence interval.
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Additional file 5:
Factors affecting the onset-to-death and onset-to-discharge period of SARS patients in Hong Kong, Beijing and Taiwan. CI, confidence interval. * The acceleration factor is computed as exp(β). It indicates the relative increase (>1) or decrease (<1) in the median time from onset of symptoms to death or discharge. † also adjusted for interaction between location with admission before symptom onset. ‡ also adjusted for interaction between location with health care worker and pre-existing comorbid conditions.
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Additional file 6:
Factors affecting the onset-to-death and onset-to-discharge period of SARS patients in Hong Kong, Beijing (restricted to Hospitals 302 and 309 only and Taiwan. CI, confidence interval. * The acceleration factor is computed as exp(β). It indicates the relative increase (>1) or decrease (<1) in the median time from onset of symptoms to death or discharge. † also adjusted for interaction between location with admission before symptom onset. ‡ also adjusted for interaction between location with health care worker and pre-existing comorbid conditions.
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