Dynamic data-driven algorithm to predict cumulative COVID-19 infected cases using susceptible-infected-susceptible model
Year of publication: |
2021
|
---|---|
Authors: | Anand, Abhinav ; Kumar, Saurabh ; Ghosh, Palash |
Published in: |
Epidemiologic Methods. - De Gruyter, ISSN 2161-962X, ZDB-ID 2629312-2. - Vol. 10.2021, s1
|
Publisher: |
De Gruyter |
Subject: | COVID-19 | cumulative infected | dynamic data-driven algorithm | infected | optimal training data |
-
Übersterblichkeit durch Corona?
Kauermann, Göran, (2023)
-
Business models beyond Covid-19 : a paradoxes approach
Bagnoli, Carlo, (2021)
-
How do Covid-19 stay-at-home restrictions affect crime? : evidence from Rio de Janeiro, Brazil
Bullock, Jessie, (2021)
- More ...
-
Liew, Fu Teck, (2022)
-
Whose speeches impact European markets : ECB's or the national central banks'?
Anand, Abhinav, (2021)
-
Anand, Abhinav, (2017)
- More ...