Comparative study of a mathematical epidemic model, statistical modeling, and deep learning for COVID-19 forecasting and management
Mohammad Masum, M.A. Masud, Muhaiminul Islam Adnan, Hossain Shahriar, Sangil Kim
| Year of publication: |
2022
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|---|---|
| Authors: | Masum, Mohammad ; Masud, M. A. ; Adnan, Muhaiminul Islam ; Shahriar, Hossain ; Kim, Sangil |
| Published in: |
Socio-economic planning sciences : the international journal of public sector decision-making. - Amsterdam [u.a.] : Elsevier, ISSN 0038-0121, ZDB-ID 208905-1. - Vol. 80.2022, p. 1-10
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| Subject: | COVID-19 forecasting | Deep learning | Management | Mathematical epidemic model | Statistical modeling | Coronavirus | Epidemie | Epidemic | Prognoseverfahren | Forecasting model | Modellierung | Scientific modelling |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.seps.2022.101249 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013191193