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COVID-19 Pandemic, Geospatial Information, and Community Resilience : Global Applications and Lessons / / edited by Abbas Rajabifard, Greg Foliente, Daniel Paez
| COVID-19 Pandemic, Geospatial Information, and Community Resilience : Global Applications and Lessons / / edited by Abbas Rajabifard, Greg Foliente, Daniel Paez |
| Autore | Rajabifard Abbas |
| Pubbl/distr/stampa | Taylor & Francis, 2021 |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Geospatial data - Social aspects., 2020
COVID-19 Pandemic, 2020- - Geographic information systems Crisis management |
| Soggetto non controllato |
disaster management
Geoinformation Geospatial Planning Public health sustainable development Urban Planning |
| ISBN |
1-00-318159-7
1-000-40292-4 1-003-18159-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910482016503321 |
Rajabifard Abbas
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| Taylor & Francis, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Using data science to understand the coronavirus pandemic / / guest editors Xin Tian, Wu He and Yunfei Xing
| Using data science to understand the coronavirus pandemic / / guest editors Xin Tian, Wu He and Yunfei Xing |
| Pubbl/distr/stampa | [Place of publication not identified] : , : Emerald Publishing Limited, , 2021 |
| Descrizione fisica | 1 online resource (81 pages) |
| Disciplina | 614.592414 |
| Collana | Information Discovery and Delivery |
| Soggetto topico | COVID-19 Pandemic, 2020- - Geographic information systems |
| ISBN | 1-80262-836-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover -- Guest editorial -- Twitter users' coping behaviors during the COVID-19 lockdown: an analysis of tweets using mixed methods -- A comparative study of modified SIR and logistic predictors using local level database of COVID-19 in India -- An agent-based model for simulating COVID-19 transmissions on university campus and its implications on mitigation interventions: a case study -- An empirical investigation of precursors influencing social media health information behaviors and personal healthcare habits during coronavirus (COVID-19) pandemic -- An analysis of attitude of general public toward COVID-19 crises - sentimental analysis and a topic modeling study -- COVID-19 and India: what next? -- Forecasting mental health and emotions based on social media expressions during the COVID-19 pandemic. |
| Record Nr. | UNINA-9910795354403321 |
| [Place of publication not identified] : , : Emerald Publishing Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Using data science to understand the coronavirus pandemic / / guest editors Xin Tian, Wu He and Yunfei Xing
| Using data science to understand the coronavirus pandemic / / guest editors Xin Tian, Wu He and Yunfei Xing |
| Pubbl/distr/stampa | [Place of publication not identified] : , : Emerald Publishing Limited, , 2021 |
| Descrizione fisica | 1 online resource (81 pages) |
| Disciplina | 614.592414 |
| Collana | Information Discovery and Delivery |
| Soggetto topico | COVID-19 Pandemic, 2020- - Geographic information systems |
| ISBN | 1-80262-836-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover -- Guest editorial -- Twitter users' coping behaviors during the COVID-19 lockdown: an analysis of tweets using mixed methods -- A comparative study of modified SIR and logistic predictors using local level database of COVID-19 in India -- An agent-based model for simulating COVID-19 transmissions on university campus and its implications on mitigation interventions: a case study -- An empirical investigation of precursors influencing social media health information behaviors and personal healthcare habits during coronavirus (COVID-19) pandemic -- An analysis of attitude of general public toward COVID-19 crises - sentimental analysis and a topic modeling study -- COVID-19 and India: what next? -- Forecasting mental health and emotions based on social media expressions during the COVID-19 pandemic. |
| Record Nr. | UNINA-9910809962503321 |
| [Place of publication not identified] : , : Emerald Publishing Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
