scholarly journals Risk Factors for Middle East Respiratory Syndrome Coronavirus Infection among Camel Populations, Southern Jordan, 2014–2018

2021 ◽  
Vol 27 (9) ◽  
pp. 2301-2311
Author(s):  
Peter Holloway ◽  
Matthew Gibson ◽  
Neeltje van Doremalen ◽  
Stephen Nash ◽  
Tanja Holloway ◽  
...  
2016 ◽  
Vol 22 (11) ◽  
pp. 1915-1920 ◽  
Author(s):  
Basem M. Alraddadi ◽  
Hanadi S. Al-Salmi ◽  
Kara Jacobs-Slifka ◽  
Rachel B. Slayton ◽  
Concepcion F. Estivariz ◽  
...  

2017 ◽  
Vol 215 (11) ◽  
pp. 1702-1705 ◽  
Author(s):  
Reina S. Sikkema ◽  
Elmoubasher A. B. A. Farag ◽  
Sayed Himatt ◽  
Adel K. Ibrahim ◽  
Hamad Al-Romaihi ◽  
...  

2016 ◽  
pp. ciw768 ◽  
Author(s):  
Seung Woo Kim ◽  
Jung Wan Park ◽  
Hee-Dong Jung ◽  
Jeong-Sun Yang ◽  
Yong-Shik Park ◽  
...  

2018 ◽  
Vol 146 (11) ◽  
pp. 1343-1349 ◽  
Author(s):  
Omar B. Da'ar ◽  
Anwar E. Ahmed

AbstractThis study set out to identify and analyse trends and seasonal variations of monthly global reported cases of the Middle East respiratory syndrome coronavirus (MERS-CoV). It also made a prediction based on the reported and extrapolated into the future by forecasting the trend. Finally, the study assessed contributions of various risk factors in the reported cases. The motivation for this study is that MERS-CoV remains among the list of blueprint priority and potential pandemic diseases globally. Yet, there is a paucity of empirical literature examining trends and seasonality as the available evidence is generally descriptive and anecdotal. The study is a time series analysis using monthly global reported cases of MERS-CoV by the World Health Organisation between January 2015 and January 2018. We decomposed the series into seasonal, irregular and trend components and identified patterns, smoothened series, generated predictions and employed forecasting techniques based on linear regression. We assessed contributions of various risk factors in MERS-CoV cases over time. Successive months of the MERS-CoV cases suggest a significant decreasing trend (P = 0.026 for monthly series and P = 0.047 for Quarterly series). The MERS-CoV cases are forecast to wane by end 2018. Seasonality component of the cases oscillated below or above the baseline (the centred moving average), but no association with the series over time was noted. The results revealed contributions of risk factors such as camel contact, male, old age and being from Saudi Arabia and Middle East regions to the overall reported cases of MERS-CoV. The trend component and several risk factors for global MERS-CoV cases, including camel contact, male, age and geography/region significantly affected the series. Our statistical models appear to suggest significant predictive capacity and the findings may well inform healthcare practitioners and policymakers about the underlying dynamics that produced the globally reported MERS-CoV cases.


2018 ◽  
Vol 10 (S9) ◽  
pp. S2260-S2271 ◽  
Author(s):  
Yanqun Wang ◽  
Jing Sun ◽  
Airu Zhu ◽  
Jingxian Zhao ◽  
Jincun Zhao

Sign in / Sign up

Export Citation Format

Share Document