Empirical Parametrization of COVID-19 Virus Pandemic

Aasim AZOOZ

Makale detayları

Empirical Parametrization of COVID-19 Virus Pandemic

Yazarlar:

Aasim AZOOZ

Yayıncı:

Ahmet ŞAHİNER

Ana Başlıklar:

Matematik

Dergi:

Journal of Multidisciplinary Modeling and Optimization 2020 Vol.3 Issue 1, pp.12-26

Belge Tipi:

Makale

Yayın Tarihi:

9/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000743104

Sıklık:

İki Yıllık

eISSN:

2645-923X

Özet:

 

Published global data for the infections and mortalities caused by the corona virus for the period between January-22 and June-1-2020 are used to build and test an empirical model equation that uses past trends in the data to predict near and medium future behavior of the pandemic. Extrapolation of the empirical model equation suggested for the time development of the numbers of infections and deaths is used to make approximate predictions concerning the disease leveling of the ultimate numbers of infections and deaths. Such analysis can be useful in the assessment of the particular measures adapted by each country in its efforts to hinder the spread of the virus infections.

Makale detayları

Empirical Parametrization of COVID-19 Virus Pandemic

Yazarlar: Aasim AZOOZ

Yayıncı: Ahmet ŞAHİNER

Ana Başlıklar: Matematik

Dergi: Journal of Multidisciplinary Modeling and Optimization 2020 Vol.3 Issue 1, pp.12-26

Belge Tipi: Makale

Yayın Tarihi: 9/2020

Belge Dili: İngilizce

Document ID (Org No.): 2000743104

Sıklık: İki Yıllık

eISSN: 2645-923X

Sayı

Yazarlar:

Aasim AZOOZ

Yayıncı:

Ahmet ŞAHİNER

Ana Başlıklar:

Matematik

Dergi:

Journal of Multidisciplinary Modeling and Optimization 2020 Vol.3 Issue 1, pp.12-26

Belge Tipi:

Makale

Yayın Tarihi:

9/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000743104

Sıklık:

İki Yıllık

eISSN:

2645-923X