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

Balak, Naci; Inan, Deniz; Ganau, Mario; Zoia, Cesare; Sönmez, Sinan; Kurt, Batuhan; Akgül, Ahmet; Tez, Müjgan

Balak, Naci; Inan, Deniz; Ganau, Mario; Zoia, Cesare; Sönmez, Sinan; Kurt, Batuhan; Akgül, Ahmet; Tez, Müjgan.

Affiliation

Balak N; Department of Neurosurgery, Istanbul Medeniyet University, Göztepe Education and Research Hospital, Istanbul, Turkey.
Inan D; School of Applied Sciences, Marmara University, Istanbul, Turkey.
Ganau M; Department of Statistics, Faculty of Arts and Sciences, Marmara University, Istanbul, Turkey.
Zoia C; Department of Neurosurgery, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Sönmez S; Department of Neurosurgery, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Kurt B; School of Applied Sciences, Marmara University, Istanbul, Turkey.
Akgül A; School of Applied Sciences, Marmara University, Istanbul, Turkey.
Tez M; School of Applied Sciences, Marmara University, Istanbul, Turkey.

Clin Epidemiol Glob Health ; 12: 100853, 2021.

Article de En | MEDLINE | ID: mdl-34395949

Mots clés

COVID-19; Epidemic forecasting; Mathematical model; Pandemic; SARS-CoV-2

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Langue: En Journal: Clin Epidemiol Glob Health Année: 2021 Type de document: Article Pays d'affiliation: Turquie Pays de publication: Inde

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