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

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ACAR A. C., ER A. G., BURDUROĞLU H. C., Sulku S. N., AYDIN SON Y., AKIN L., ...Daha Fazla

TURKISH JOURNAL OF MEDICAL SCIENCES, cilt.51, sa.1, ss.16-27, 2021 (SCI-Expanded) identifier identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 51 Sayı: 1
  • Basım Tarihi: 2021
  • Doi Numarası: 10.3906/sag-2005-378
  • Dergi Adı: TURKISH JOURNAL OF MEDICAL SCIENCES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, CAB Abstracts, EMBASE, MEDLINE, Veterinary Science Database, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.16-27
  • Anahtar Kelimeler: COVID-19, pandemic, epidemiology, Bayesian regression, Turkey
  • Hacettepe Üniversitesi Adresli: Evet

Özet

Background/aim: 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.