COVID-19 cases presenting to the Emergency Department predict Qatar National COVID-19 trends and numbers
Joint Authors
Thomas, Stephen H.
Pathan, Samir A.
Moinudheen, Jibin
Simon, Katie
Source
Issue
Vol. 2021, Issue 3 (31 Dec. 2021), pp.1-4, 4 p.
Publisher
Publication Date
2021-12-31
Country of Publication
Qatar
No. of Pages
4
Main Subjects
Abstract EN
In this short communication, we summarized the analyses, models, and interpretations of the corporate department of emergency medicine’s (CDEM) COVID-19 numbers and their relationship to predict the national COVID-19 trends and numbers in Qatar.
Data included in this analysis were obtained between March 1, 2020 and July 31, 2021.
It included the number of COVID-19 cases that presented to four major EDs under the Hamad Medical Corporation CDEM umbrella and published data from the Qatar Ministry of public health (MoPH).
On plotting weighted scatterplot smoothing (lowess) trend lines, there were striking similarities between CDEM and national COVID-19 n curves for overall trends and peaks.
In conclusion, CDEM COVID-19 spike may be useful to predict national COVID-19 spike in 2–3 weeks.
American Psychological Association (APA)
Pathan, Samir A.& Moinudheen, Jibin& Simon, Katie& Thomas, Stephen H.. 2021. COVID-19 cases presenting to the Emergency Department predict Qatar National COVID-19 trends and numbers. Qatar Medical Journal،Vol. 2021, no. 3, pp.1-4.
https://search.emarefa.net/detail/BIM-1431384
Modern Language Association (MLA)
Pathan, Samir A.…[et al.]. COVID-19 cases presenting to the Emergency Department predict Qatar National COVID-19 trends and numbers. Qatar Medical Journal No. 3 (2021), pp.1-4.
https://search.emarefa.net/detail/BIM-1431384
American Medical Association (AMA)
Pathan, Samir A.& Moinudheen, Jibin& Simon, Katie& Thomas, Stephen H.. COVID-19 cases presenting to the Emergency Department predict Qatar National COVID-19 trends and numbers. Qatar Medical Journal. 2021. Vol. 2021, no. 3, pp.1-4.
https://search.emarefa.net/detail/BIM-1431384
Data Type
Journal Articles
Language
English
Notes
Text in English ; abstracts in .
Record ID
BIM-1431384