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| Chapter title |
A Review on Predictive Systems and Data Models for COVID-19
|
|---|---|
| Chapter number | 7 |
| Book title |
Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
|
| Published by |
Springer, Singapore, October 2020
|
| DOI | 10.1007/978-981-15-8534-0_7 |
| Book ISBNs |
978-9-81-158533-3, 978-9-81-158534-0
|
| Authors |
Fatima Nazish Khan, Ayesha Ayubi Khanam, Ayyagari Ramlal, Shaban Ahmad, Khan, Fatima Nazish, Khanam, Ayesha Ayubi, Ramlal, Ayyagari, Ahmad, Shaban |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 15% |
| Researcher | 3 | 12% |
| Student > Doctoral Student | 2 | 8% |
| Lecturer | 2 | 8% |
| Other | 2 | 8% |
| Other | 5 | 19% |
| Unknown | 8 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 23% |
| Environmental Science | 2 | 8% |
| Medicine and Dentistry | 2 | 8% |
| Social Sciences | 2 | 8% |
| Business, Management and Accounting | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 10 | 38% |