4.6 Article

Estimating the Severity and Subclinical Burden of Middle East Respiratory Syndrome Coronavirus Infection in the Kingdom of Saudi Arabia

期刊

AMERICAN JOURNAL OF EPIDEMIOLOGY
卷 183, 期 7, 页码 657-663

出版社

OXFORD UNIV PRESS INC
DOI: 10.1093/aje/kwv452

关键词

burden; clinical symptoms; coronavirus; MERS; severity

资金

  1. RAPIDD program of the Science & Technology Directorate
  2. Department of Homeland Security
  3. Fogarty International Center, National Institutes of Health
  4. US National Institute of General Medical Sciences [5U54GM088491]
  5. Medical Research Council
  6. National Institute of Health Research for Health Protection Research Unit programme
  7. Labex IBEID
  8. European Union [278433-PREDEMICS]
  9. NIGMS MIDAS initiative
  10. Bill and Melinda Gates Foundation
  11. AXA Research Fund
  12. Medical Research Council [MR/K010174/1B, MR/K010174/1] Funding Source: researchfish
  13. National Institute for Health Research [NF-SI-0513-10125, NF-SI-0508-10252, HPRU-2012-10080] Funding Source: researchfish
  14. MRC [MR/K010174/1] Funding Source: UKRI

向作者/读者索取更多资源

Not all persons infected with Middle East respiratory syndrome coronavirus (MERS-CoV) develop severe symptoms, which likely leads to an underestimation of the number of people infected and an overestimation of the severity. To estimate the number of MERS-CoV infections that have occurred in the Kingdom of Saudi Arabia, we applied a statistical model to a line list describing 721 MERS-CoV infections detected between June 7, 2012, and July 25, 2014. We estimated that 1,528 (95% confidence interval (CI): 1,327, 1,883) MERS-CoV infections occurred in this interval, which is 2.1 (95% CI: 1.8, 2.6) times the number reported. The probability of developing symptoms ranged from 11% (95% CI: 4, 25) in persons under 10 years of age to 88% (95% CI: 72, 97) in those 70 years of age or older. An estimated 22% (95% CI: 18, 25) of those infected with MERS-CoV died. MERS-CoV is deadly, but this work shows that its clinical severity differs markedly between groups and that many cases likely go undiagnosed.

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