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^*

^*Tämän työn vastaava kirjoittaja

FSEJ Common

Tutkimustuotos: Lehtiartikkeli › Pääkirjoitus › Tieteellinen › vertaisarvioitu

6 Sitaatiot (Scopus)

Abstrakti

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.

Alkuperäiskieli	Englanti
Sivut	117-119
Sivumäärä	3
Julkaisu	Turkiye Klinikleri Journal of Medical Sciences
Vuosikerta	40
Numero	2
DOI - pysyväislinkit	https://doi.org/10.5336/medsci.2020-75741
Tila	Julkaistu - 2020
OKM-julkaisutyyppi	A1 Julkaistu artikkeli, soviteltu

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

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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.",

keywords = "COVID-19, Pandemics, Turkey",

author = "Mesut {\"O}zdin{\c c} and Kerem {\c S}enel and Selcen {\"O}zt{\"u}rkcan and Ahmet Akg{\"u}l",

year = "2020",

doi = "10.5336/medsci.2020-75741",

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pages = "117--119",

journal = "Turkiye Klinikleri Journal of Medical Sciences",

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TY - JOUR

T1 - Predicting the Progress of COVID-19

T2 - The Case for Turkey

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

UR - http://www.scopus.com/inward/record.url?scp=85086643510&partnerID=8YFLogxK

U2 - 10.5336/medsci.2020-75741

DO - 10.5336/medsci.2020-75741

M3 - Editorial

AN - SCOPUS:85086643510

SN - 1300-0292

VL - 40

SP - 117

EP - 119

JO - Turkiye Klinikleri Journal of Medical Sciences

JF - Turkiye Klinikleri Journal of Medical Sciences

IS - 2

ER -

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

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