A scenario-based evaluation of the Middle East respiratory syndrome coronavirus and the Hajj

Lauren M. Gardner, David Rey, Anita E. Heywood, Renin Toms, James Wood, S. Travis Waller, C. Raina MacIntyre

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

Between April 2012 and June 2014, 820 laboratory-confirmed cases of the Middle East respiratory syndrome coronavirus (MERS-CoV) have been reported in the Arabian Peninsula, Europe, North Africa, Southeast Asia, the Middle East, and the United States. The observed epidemiology is different to SARS, which showed a classic epidemic curve and was over in eight months. The much longer persistence of MERS-CoV in the population, with a lower reproductive number, some evidence of human-to-human transmission but an otherwise sporadic pattern, is difficult to explain. Using available epidemiological data, we implemented mathematical models to explore the transmission dynamics of MERS-CoV in the context of mass gatherings such as the Hajj pilgrimage, and found a discrepancy between the observed and expected epidemiology. The fact that no epidemic occurred in returning Hajj pilgrims in either 2012 or 2013 contradicts the long persistence of the virus in human populations. The explanations for this discrepancy include an ongoing, repeated nonhuman/sporadic source, a large proportion of undetected or unreported human-to-human cases, or a combination of the two. Furthermore, MERS-CoV is occurring in a region that is a major global transport hub and hosts significant mass gatherings, making it imperative to understand the source and means of the yet unexplained and puzzling ongoing persistence of the virus in the human population.

Original languageEnglish
Pages (from-to)1391-1400
Number of pages10
JournalRisk analysis : an official publication of the Society for Risk Analysis
Volume34
Issue number8
DOIs
Publication statusPublished - 14 Jul 2014
Externally publishedYes

Keywords

  • Epidemiology
  • Hajj
  • MERS-CoV
  • mass gatherings
  • models

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