A simple mathematical tool to forecast COVID-19 cumulative case numbers

Balak N., İnan D., Ganau M., Zoia C., Sönmez S., Kurt B., ...Daha Fazla

CLINICAL EPIDEMIOLOGY AND GLOBAL HEALTH, cilt.12, 2021 (ESCI) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 12
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1016/j.cegh.2021.100853
  • Dergi Adı: CLINICAL EPIDEMIOLOGY AND GLOBAL HEALTH
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus
  • Anahtar Kelimeler: COVID-19, Epidemic forecasting, Mathematical model, Pandemic, SARS-CoV-2, HERD-IMMUNITY, PANDEMIC INFLUENZA, GROWTH, EPIDEMIC, MODELS, RATES
  • Marmara Üniversitesi Adresli: Evet

Özet

Objective: Mathematical models are known to help determine potential intervention strategies by providing an approximate idea of the transmission dynamics of infectious diseases. To develop proper responses, not only are more accurate disease spread models needed, but also those that are easy to use.