Predicting the Progress of COVID-19:  The Case for Turkey

Mesut Özdinç; Kerem Şenel; Selcen Öztürkcan; Ahmet Akgül

doi:10.5336/medsci.2020-75741

Predicting the Progress of COVID-19: The Case for Turkey

Mesut Özdinç, Kerem Şenel, Selcen Öztürkcan, Ahmet Akgül^*

^*Corresponding author for this work

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Research output: Contribution to journal › Editorial › Scientific › peer-review

6 Citations (Scopus)

Abstract

The SIR model is applied to a dataset of 43 days from the beginning of the COVID-19 pandemic in Turkey. Model outputs regarding the estimates of effective reproduction number and peak date of the maximum number of actively infected are presented. Favorable impact of social distancing measures are observed in comparing model outputs on progressive days. Findings are valuable for policy and decision makers in shedding light to the next phases of the pandemic.

Original language	English
Pages (from-to)	117-119
Number of pages	3
Journal	Turkiye Klinikleri Journal of Medical Sciences
Volume	40
Issue number	2
DOIs	https://doi.org/10.5336/medsci.2020-75741
Publication status	Published - 2020
MoE publication type	B1 Article in a scientific magazine

Keywords

COVID-19
Pandemics
Turkey

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10.5336/medsci.2020-75741Licence: CC BY-NC-ND

Cite this

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title = "Predicting the Progress of COVID-19: The Case for Turkey",

abstract = "The SIR model is applied to a dataset of 43 days from the beginning of the COVID-19 pandemic in Turkey. Model outputs regarding the estimates of effective reproduction number and peak date of the maximum number of actively infected are presented. Favorable impact of social distancing measures are observed in comparing model outputs on progressive days. Findings are valuable for policy and decision makers in shedding light to the next phases of the pandemic.",

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AU - Özdinç, Mesut

AU - Şenel, Kerem

AU - Öztürkcan, Selcen

AU - Akgül, Ahmet

PY - 2020

Y1 - 2020

N2 - The SIR model is applied to a dataset of 43 days from the beginning of the COVID-19 pandemic in Turkey. Model outputs regarding the estimates of effective reproduction number and peak date of the maximum number of actively infected are presented. Favorable impact of social distancing measures are observed in comparing model outputs on progressive days. Findings are valuable for policy and decision makers in shedding light to the next phases of the pandemic.

AB - The SIR model is applied to a dataset of 43 days from the beginning of the COVID-19 pandemic in Turkey. Model outputs regarding the estimates of effective reproduction number and peak date of the maximum number of actively infected are presented. Favorable impact of social distancing measures are observed in comparing model outputs on progressive days. Findings are valuable for policy and decision makers in shedding light to the next phases of the pandemic.

KW - COVID-19

KW - Pandemics

KW - Turkey

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U2 - 10.5336/medsci.2020-75741

DO - 10.5336/medsci.2020-75741

M3 - Editorial

AN - SCOPUS:85086643510

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JF - Turkiye Klinikleri Journal of Medical Sciences

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ER -

Predicting the Progress of COVID-19: The Case for Turkey

Abstract

Keywords

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