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Estimation of the case fatality ratio of MERS epidemics using information on patients' severity condition
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 Title & Authors
Estimation of the case fatality ratio of MERS epidemics using information on patients' severity condition
Hwang, Seonyeong; Oh, Changhyuck;
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 Abstract
The first patient of Middle East respiratory syndrome caused by a novel coronavirus infection in Korea was confirmed on May 20, 2015. After that, MERS spread over the country. In recent years, patients of MERS have been found around the Arabian Peninsula and the case fatality ratio of MERS in those area was been reported to range from 30 to 40%. In this paper, we estimate the case fatality ratio of MERS of Korea using data of 186 infections until December 1, 2015. In this study we propose a novel estimator of the case fatality ratio using information of the patients severity condition as well as records on the days of confirmation and death or recovery of the patient. By using publicly available data of the Department of Health and Human Services Centers for Disease Control, we evaluate a performance of the estimator and demonstrate a stability of the estimator from the early stage of the epidemic.
 Keywords
Case fatality ratio;estimation;Korea;MERS;
 Language
Korean
 Cited by
1.
Comparison study of SARIMA and ARGO models for in influenza epidemics prediction, Journal of the Korean Data and Information Science Society, 2016, 27, 4, 1075  crossref(new windwow)
 References
1.
Atkins, K. E., Wenzel, N. S., Ndeffo-Mbah, M., Altice, F. L., Townsend, J. P. and Galvani, A. P. (2014). Under-reporting and case fatality estimates for emerging epidemics. BMJ, 350, h1115.

2.
Balcan, D., Hu, H., Goncalves, B., Bajardi, P., Poletto, C., Ramasco, J. J., Paolotti, D., Perra, N., Tizzoni, M., Broeck, W. V. d., Colizza, V. and Vespignani, A. (2009). Seasonal transmission potential and activity peaks of the new influenza A(H1N1): A Monte Carlo likelihood analysis based on human mobility. BMC Medicine, 7, 1-12. crossref(new window)

3.
Chowell, G., Blumberga, S., Simonsena, L., Millera, M. A. and Viboud, C. (2014). Synthesizing data and models for the spread of MERS-CoV, 2013: Key role of index cases and hospital transmission. Epidemics, 9, 40-51. crossref(new window)

4.
Cowling, B. J., Park, M., Fang, V. J., Wu, P., Leung, G. M. and Wu, J. T. (2015). Preliminary epidemiological assessment of MERS-CoV outbreak in South Korea, May to June 2015. Euro Surveill, 20, pii=21163.

5.
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. B., Lau, E. M. C., Ferguson, N. M. and Anderson, R. M. (2003). Epidemiological determinants of spread of causal agent of severe acute respiratory syndrome in Hong Kong. Lancet, 361, 1761-1766. crossref(new window)

6.
Echevarria-Zuno, S., Mejia-Arangure, J. M., Mar-Obeso, A. J., Grajales-Muniz, C., Robles-Perez, E., Gonzalez-Leon, M., Ortega-Alvarez, M. C., Gonzalez-Bonilla, C., Rascon-Pacheco, R. A. and Borja-Aburto, V. H. (2009). Infection and death from influenza A H1N1 virus in Mexico: A retrospective analysis. Lancet, 374, 2072-2079. crossref(new window)

7.
Gardner, L. M., Rey, D., Heywood, A. E., Toms, R., Wood, J., Waller, S. T. and MacIntyre, C. R. (2014). A scenario-based evaluation of the Middle East Respiratory Syndrome Coronavirus and the Hajj. Risk Analysis, 34, 1391-1400. crossref(new window)

8.
Garske, T., Legrand, J., Donnelly, C. A., Ward, H., Cauchemez, S., Fraser, C., Ferguson, N. M. and Ghani, A. C. (2009). Assessing the severity of the novel influenza A/H1N1 pandemic. BMJ, 339, b2840. crossref(new window)

9.
Ghani, A. C., Donnelly, C. A., Cox, D. R., Griffin, J. T., Fraser, C., Lam, T. H., Ho, L. M., Chan, W. S., Anderson, R. M., Hedley, A. J. and Leung, G. M. (2005). Methods for estimating the case fatality ratio for a novel, emerging infectious disease. American Journal of Epidemiology, 162, 479-486. crossref(new window)

10.
Hwang, S., Sohn, S. and Oh, C. (2015). Maximum likelihood estimation for a mixture distribution. Journal of the Korean Data & Information Science Society, 26, 313-322. crossref(new window)

11.
Jewell, N. P., Lei, X., Ghani, A. C., Donnelly, C. A., Leung, G. M., Ho, L. M. and Cowling, Benjamin J. and Hedley, A. J. (2007). Non-parametric estimation of the case fatality ratio with competing risks data:An application to Severe Acute Respiratory Syndrome (SARS). Statistics in medicine, 26, 1982-1998. crossref(new window)

12.
Khandaker, G., Dierig, A., Rashid, H., King, C., Heron, L. and Booy, R. (2011). Systematic review of clinical and epidemiological features of the pandemic influenza A (H1N1) 2009. Influenza and Other Respiratory Viruses, 5, 148-156. crossref(new window)

13.
Kim, K. M., Ki, M., Cho, S.-i., Sung, M., Hong, J. K., Cheong, H. K., Kim, J. H., Lee, S. E., Lee, C., Lee, K. J., Park, Y. S., Kim, S. W. and Choi, B. Y. (2015). Epidemiologic features of the first MERS outbreak in Korea: Focus on Pyeongtaek St. Mary's Hospital. Epidemiology and Health, 37, 1-10.

14.
Korea infection control headquater (2015). MERS portal, http://www.mers.go.kr, last checked: 11.14.2015.

15.
Ma, J. and Driessche, P. V. D. (2008). Case Fatality Proportion. Bulletin of Mathematical Biology, 70, 118-133. crossref(new window)

16.
Merler, S., Ajelli, M., Pugliese, A. and Ferguson, N. M. (2011). Determinants of the spatiotemporal dynamics of the 2009 H1N1 pandemic in Europe: Implications for real-time modelling. PLoS Computational Biology, 7, e1002205. crossref(new window)

17.
Mishra, A. C., Chadha, M. S., Choudhary, M. L. and Potdar, V. A. (2010). Pandemic influenza (H1N1) 2009 is associated with severe disease in India. PLoS One, 5, e10540. crossref(new window)

18.
Mizumoto, K., Saitoh, M., Chowell, G., Miyamatsu, Y. and Nishiura, H. (2015). Estimating the risk of Middle East respiratory syndrome (MERS) death during the course of the outbreak in the Republic of Korea, 2015. International Journal of Infectious Diseases, 39, 7-9. crossref(new window)

19.
Nguyen-Van-Tam, J. S., Openshaw, P. J. M., Hashim, A., Gadd, E. M., Lim, W. S., Semple, M. G., Read, R. C., Taylor, B. L., Brett, S. J., McMenamin, J., Enstone, J. E., Armstrong, C., Nicholson, K. G. and on behalf of the Influenza Clinical Information Network (FLU-CIN) (2010). Risk factors for hospitalisation and poor outcome with pandemic A/H1N1 influenza: United Kingdom first wave (May-September 2009). Thorax, 65, 645-651. crossref(new window)

20.
Nishiura, H. (2010). Case fatality ratio of pandemic influenza. Lancet infection, 10, 443-444. crossref(new window)

21.
Oh, C. (2014). Estimation in the mixture of shifted Poisson distributions. Journal of the Korean Data & Information Science Society, 25, 255-261. crossref(new window)

22.
Poletto, C., Pelat, C., Levy-Bruhl, D., Yazdanpanah, Y., Boelle, P. Y. and Colizza, V. (2014). Assessment of the Middle East respiratory syndrome coronavirus (MERS-CoV) epidemic in the Middle East and risk of international spread using a novel maximum likelihood analysis approach. Euro Surveill, 19, 20824. crossref(new window)

23.
Presanis, A. M., Angelis, D. D., The New York City Swine Flu Investigation Team, Hagy, A., Reed, C., Riley, S., Cooper, B. S., Finelli, L., Biedrzycki, P. and Lipsitch, M. (2009). The severity of pandemic H1N1 influenza in the United States, from April to July 2009: A Bayesian analysis. PLoS Medicine, 6, e1000207. crossref(new window)

24.
Yang, Y., Sugimoto, J. D., Halloran, M. E., Basta, N. E., Chao, D. L., Matrajt, L., Potter, G., Kenah, E. and Jr, I. M. L. (2009). The transmissibility and control of pandemic influenza a (H1N1) virus. Science, 326, 729-733. crossref(new window)

25.
Yu, H., Cowling, B., Feng, L., Lau, E. H. Y., Liao, Q., Tsang, T. K., Peng, Z., Wu, P., Liu, F., Fang, V. J., Zhang, H., Li, M., Zeng, L., Xu, Z., Li, Z., Luo, H., Li, Q., Feng, Z., Cao, B., Yang, W., Wu, J. T., Wang, Y. and Leung, G. M. (2013). Human infection with avian influenza A H7N9 virus: An assessment of clinical severity. Lancet, 382, 138-145. crossref(new window)