| Author |
Meyer, Derek |
| Contributor |
Casper, Charlie; Yon, Vega George; Wilson, Andrew |
| Title |
Predictive modeling of Covid-19 spread: an agent-based simulation approach |
| Description |
The field of public health and biostatistics has made significant advances in understanding the basic principles of COVID-19 transmission due to the collaboration of scientists, healthcare workers, and policymakers worldwide. The COVID-19 pandemic has greatly challenged humanity, calling for swift responses to mitigate its impact on morbidity and mortality in real world settings for populations. |
| Type |
Text |
| Publisher |
University of Utah |
| Language |
eng |
| Rights Management |
(c) Derek Meyer |
| Format Medium |
application/pdf |
| ARK |
ark:/87278/s6pek5je |
| Setname |
ir_etd |
| ID |
2460774 |
| Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6pek5je |
