Estimating the time-varying rate of transmission of SARS in Singapore and Hong Kong under two environments

Journal of the American Statistical Association

Volumn 104, Issue 485, 2009, Pages 88-96

  Kuk, Anthony Y C ^a   Tan, C C ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b Dept Medicine Endocrinol Diabet   (Singapore)

Author keywords

ECME algorithm; Empirical bayes method; Individual infectiousness; Interval censoring; Poisson process; Proportional intensity model; Superspreading events

Indexed keywords

EID: 70350342043     PISSN: 01621459     EISSN: None     Source Type: Journal    
DOI: 10.1198/jasa.2009.0006     Document Type: Article

References (14)

1. Chen, M. I. C., Loon, P. S. C., Leong, H. N., and Leo, Y. S. (2006), "Understanding the Super-Spreading Events of SARS in Singapore", Annals of the Academy of Medicine, Singapore, 35, 390-395.
2. Collings, B. J., and Margolin, B. H. (1985), "Testing Goodness of Fit for the Poisson Assumption When Observations Are Not Identically Distributed", Journal of the American Statistical Association, 80, 411-418.
3. Dean, C., and Lawless, J. F. (1989), "Tests for Detecting Overdispersion in Poisson Regression Models", Journal of the American Statistical Association, 84, 467-472.
4. Dempster, A. P., Laird, N. M., and Rubin, D. B. (1977), "Maximum Likelihood Estimation from Incomplete Data via the EM algorithm" , Journal of the Royal Statistical Society Series B, 39, 1-38.
5. Leo, Y. S., Chen, M., Heng, B. H., Lee, C. C., Paton, N., Ang, B., Choo, P., Lim, S. W., Ling, A. E., Ling, M. L., Tay, B. K., Tambyah, P. A., Lim, Y. T., Gopalakrishna, G., Ma, S., James, L., Ooi, P. L., Lim, S., Goh, K. T., Chew, S. K., and Tan, C. C. (2003), "Severe Acute Respiratory Syndrome- Singapore 2003", Morbidity and Mortality Weekly Report, 52, 405-411.
6. Lipsitch, M., Cohen, T., Cooper, B., Robins, J. M., Ma, S., James, L., Gopalakrishna, G., Chew, S. K., Tan, C. C., Samore, M. H., Fisman, D., and Murray, M. (2003), "Transmission Dynamics and Control of Severe Acute Respiratory Syndrome", Science, 30, 1966-1970.
7. Liu, C., and Rubin, D. B. (1994), "The ECME Algorithm: A Simple Extension of EMand ECMWith FasterMonotone Convergence", Biometrika, 81, 633-648.
8. Lloyd-Smith, J. O., Schreiber, S. J., Kopp, P. E., and Getz, W. M. (2005), "Superspreading and the Effect of Individual Variation on Disease Emergence", Nature, 438, 355-359. Meng, X.- L., and Rubin, D. B. (1993), "Maximum Likelihood Estimation via the ECM Algorithm: A General Framework", Biometrika, 80, 267-278.
9. Pang, Z., and Kuk, A. Y. C. (2007), "Test of Marginal Compatibility and Smoothing Methods for Exchangeable Binary Data With Unequal Cluster Sizes", Biometrics, 63, 618-627.
10. Peiris, J. S. M., Chu, C. M., Cheng, V. C. C., Chan, K. S., Hung, I. F. N., Poon, L. L. M., Law, K. I., Tang, S. F., Hon, T. Y., Chan, C. S., Chan, K. H., Ng, J. S., Zheng, B., Ng, W. L., Lai, W. M., Guan, Y., and Yuen, K. Y. (2003), "Clinical Progress and Viral Load in a Community Outbreak of Coronavirus- Associated SARS Pneumonia: A Prospective Study", Lancet, 361, 1767-1772.
11. Pitzer,V. E., Leung,G.M., and Lipsitch,M. (2007), " EstimatingVariability in the Transmission of SevereAcute Respiratory Syndrome toHousehold Contacts in Hong Kong, China", American Journal of Epidemiology, 166, 355-363.
12. Scott, R. D., Gregg, E., and Meltzer, M. I. (2004), "Collecting Data to Assess SARS Interventions", Emerging Infectious Diseases, 10, 1290-1292.
13. Stefanescu, C., and Turnbull, B. W. (2003), "Likelihood Inference for Exchangeable Binary Data With Varying Cluster Sizes", Biometrics, 59, 18-24.
14. Tan, C. C. (2005): "Public Health Response: Views from Singapore. in Severe Acute Respiratory Syndrome: A Clinical Guide, ed. J. S. M. Peiris et al., Oxford: Blackwell, pp. 139-164.