Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/79045
Title: Modeling the spread of Middle East respiratory syndrome coronavirus in Saudi Arabia
Authors: Lin, QY 
Chiu, APY 
Zhao, S 
He, DH 
Keywords: Mathematical modeling
Iterated filtering
Middle East respiratory syndrome
Issue Date: 2018
Publisher: SAGE Publications
Source: Statistical methods in medical research, July 2018, v. 27, no. 7, p. 1968-1978 How to cite?
Journal: Statistical methods in medical research 
Abstract: Middle East respiratory syndrome coronavirus has been persistent in the Middle East region since 2012. Abundant scientific evidence showed that dromedary camels are the primary host of the virus. Majority of human cases (i.e., 75% or 88%) are due to human-to-human transmission, while the others are due to camel-to-human transmission. Mathematical modeling of Middle East respiratory syndrome coronavirus camel-to-camel transmission was lacking. Using the plug-and-play likelihood-based inference framework, we fitted a susceptible-exposed-infectious-recovered-susceptible model of camels to the reported human cases with a constant proportion of human cases from camels (i.e., either 25% or 12%). We considered two scenarios: (i) the transmission rate among camels is time-varying with a constant spill-over rate from camels to human or (ii) the spill-over rate is time-varying with a constant transmission rate among camels. Our estimated loss-of-immunity rate and prevalence of Middle East respiratory syndrome coronavirus infections among camels largely matched with previous serological or virological studies, shedding light on this issue. We recommended including dromedary camels in animal surveillance and control of Middle East respiratory syndrome coronavirus in Saudi Arabia which could help reduce their sporadic introductions to humans.
URI: http://hdl.handle.net/10397/79045
ISSN: 0962-2802
EISSN: 1477-0334
DOI: 10.1177/0962280217746442
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