Assessing COVID-19 and other pandemics and epidemics using computational modelling and data analysis / Subhendu Kumar Pani, Sujata Dash, Wellington P. dos Santos, Syed Ahmad Chan Bukhari, Francesco Flammini, editors.
| Format | Electronic |
| Publication Info | Cham : Springer, [2022] |
| Description | xxvi, 405 pages : illustrations ; 25 cm |
| Supplemental Content | Full text available from Springer Books |
| Supplemental Content | Full text available from Springer Nature - Springer Computer Science eBooks 2022 English International |
| Subjects |
| Other author/creator | Pani, Subhendu Kumar, 1980- |
| Other author/creator | Dash, Sujata, 1964- |
| Other author/creator | Santos, Wellington Pinheiro dos. |
| Other author/creator | Bukhari, Syed Ahmad Chan. |
| Other author/creator | Flammini, Francesco. |
| Bibliography note | Includes bibliographical references. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| ISBN | 9783030797522 hardbound |
| ISBN | 303079752X hardbound |
| ISBN | ebook |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |