Response: Commentary: Statistical Modeling for the Prediction of Infectious Disease Dissemination With Special Reference to COVID-19 Spread
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| Main Authors: | , |
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| Format: | Book |
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Frontiers Media S.A.,
2022-01-01T00:00:00Z.
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| 042 | |a dc | ||
| 100 | 1 | 0 | |a Subhash Kumar Yadav |e author |
| 700 | 1 | 0 | |a Yusuf Akhter |e author |
| 245 | 0 | 0 | |a Response: Commentary: Statistical Modeling for the Prediction of Infectious Disease Dissemination With Special Reference to COVID-19 Spread |
| 260 | |b Frontiers Media S.A., |c 2022-01-01T00:00:00Z. | ||
| 500 | |a 2296-2565 | ||
| 500 | |a 10.3389/fpubh.2021.783201 | ||
| 546 | |a EN | ||
| 690 | |a distribution fitting models | ||
| 690 | |a time series regression models | ||
| 690 | |a epidemiological models of disease | ||
| 690 | |a parameters | ||
| 690 | |a estimation | ||
| 690 | |a prediction | ||
| 690 | |a Public aspects of medicine | ||
| 690 | |a RA1-1270 | ||
| 655 | 7 | |a article |2 local | |
| 786 | 0 | |n Frontiers in Public Health, Vol 9 (2022) | |
| 787 | 0 | |n https://www.frontiersin.org/articles/10.3389/fpubh.2021.783201/full | |
| 787 | 0 | |n https://doaj.org/toc/2296-2565 | |
| 856 | 4 | 1 | |u https://doaj.org/article/3d86c6e8dfbc47f0b64a2cd7e5ebd602 |z Connect to this object online. |