COVID-19 cases presenting to the Emergency Department predict Qatar National COVID-19 trends and numbers

Sameer A. Pathan; Jibin Moinudheen; Katie Simon; Stephen H. Thomas

doi:10.5339/qmj.2021.56

ISSN: 0253-8253
E-ISSN: 2227-0426

oa COVID-19 cases presenting to the Emergency Department predict Qatar National COVID-19 trends and numbers
المؤلفون: Sameer A. Pathan^1,2,3, Jibin Moinudheen¹, Katie Simon¹ and Stephen H. Thomas^1,2
عرض الانتماءات إخفاء الانتسابات المهنية

االانتسابات المهنيه ¹ Corporate Department of Emergency Medicine, Hamad Medical Corporation, Qatar E-mail: [email protected] ² Blizard Institute, Barts and The London School of Medicine, Queen Mary Univ. of London, UK ³ School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
Source: Qatar Medical Journal, Volume 2021, Issue 3, ديسمبر ٢٠٢١, 56
DOI https://doi.org/10.5339/qmj.2021.56
- المستلَم: ١٨ أغسطس ٢٠٢١
- المقبول: ٢٧ سبتمبر ٢٠٢١
- تاريخ النشر الكترونيا: ٢١ أكتوبر ٢٠٢١

ملخص

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.

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References

Simpson CR, Robertson C, Vasileiou E, Moore E, McCowan C, Agrawal U, et al. Temporal trends and forecasting of COVID-19 hospitalisations and deaths in Scotland using a national real-time patient-level data platform: a statistical modelling study. Lancet Digit Health. 2021; 3:(8):e517–e25.
[Google الباحث العلمي]
Padmanabhan R, Abed HS, Meskin N, Khattab T, Shraim M, Al-Hitmi MA. A review of mathematical model-based scenario analysis and interventions for COVID-19. Comput Methods Programs Biomed. 2021;209:106301.
[Google الباحث العلمي]
Ayoub HH, Chemaitelly H, Seedat S, Makhoul M, Al Kanaani Z, Al Khal A, et al. Mathematical modeling of the SARS-CoV-2 epidemic in Qatar and its impact on the national response to COVID-19. J Glob Health. 2021;11:05005.
[Google الباحث العلمي]
Ministry of Public health (MoPH), the State of Qatar, COVID-19 information. Available from: https://covid19.moph.gov.qa/EN/Pages/default.aspx. (Accessed: August 18, 2021).

/content/journals/10.5339/qmj.2021.56

COVID-19 cases presenting to the Emergency Department predict Qatar National COVID-19 trends and numbers

Qatar Medical Journal 2021, 56 (٢٠٢١); https://doi.org/10.5339/qmj.2021.56

/content/journals/10.5339/qmj.2021.56

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نوع المستند: Letter to the Editor

الموضوعات الرئيسية COVID-19, emergency medicine, national trends and prediction

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oa COVID-19 cases presenting to the Emergency Department predict Qatar National COVID-19 trends and numbers

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