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

Qatar Medical Journal

Issue

Vol. 2021, Issue 3 (31 Dec. 2021), pp.1-4, 4 p.

Publisher

Hamad Medical Corporation

Publication Date

2021-12-31

Country of Publication

Qatar

No. of Pages

4

Main Subjects

Medicine

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