Literature DB >> 29846148

Modeling the spread of Middle East respiratory syndrome coronavirus in Saudi Arabia.

Qianying Lin1, Alice Py Chiu1, Shi Zhao1, Daihai He1.   

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.

Entities:  

Keywords:  Mathematical modeling; Middle East respiratory syndrome; iterated filtering

Mesh:

Year:  2018        PMID: 29846148     DOI: 10.1177/0962280217746442

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  26 in total

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4.  Estimating the Unreported Number of Novel Coronavirus (2019-nCoV) Cases in China in the First Half of January 2020: A Data-Driven Modelling Analysis of the Early Outbreak.

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Review 7.  The Global Emergency of Novel Coronavirus (SARS-CoV-2): An Update of the Current Status and Forecasting.

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8.  A simple approach to estimate the instantaneous case fatality ratio: Using the publicly available COVID-19 surveillance data in Canada as an example.

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Review 10.  Insights into the Recent 2019 Novel Coronavirus (SARS-CoV-2) in Light of Past Human Coronavirus Outbreaks.

Authors:  Hossam M Ashour; Walid F Elkhatib; Md Masudur Rahman; Hatem A Elshabrawy
Journal:  Pathogens       Date:  2020-03-04
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