Projecting the course of COVID-19 in Turkey: A probabilistic modeling approach | Zendy

Aybar C. Acar | Zendy; Ahmet Görkem Er | Zendy; Hüseyin Cahit BURDUROĞLU | Zendy; Seher Nur Sülkü | Zendy; Yeşim Aydın Son | Zendy; Levent Akın | Zendy; Serhat Ünal | Zendy

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Projecting the course of COVID-19 in Turkey: A probabilistic modeling approach

Author(s) -

Aybar C. Acar,

Ahmet Görkem Er,

Hüseyin Cahit BURDUROĞLU,

Seher Nur Sülkü,

Yeşim Aydın Son,

Levent Akın,

Serhat Ünal

Publication year - 2020

Publication title -

turkish journal of medical sciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.277

H-Index - 27

eISSN - 1303-6165

pISSN - 1300-0144

DOI - 10.3906/sag-2005-378

Subject(s) - medicine , covid-19 , course (navigation) , probabilistic logic , coronavirus infections , betacoronavirus , virology , artificial intelligence , outbreak , astronomy , infectious disease (medical specialty) , disease , physics , computer science

The COVID-19 pandemic originated in Wuhan, China, in December 2019 and became one of the worst global health crises ever. While struggling with the unknown nature of this novel coronavirus, many researchers and groups attempted to project the progress of the pandemic using empirical or mechanistic models, each one having its drawbacks. The first confirmed cases were announced early in March, and since then, serious containment measures have taken place in Turkey.

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