Saved in:
| Main Authors: | , |
|---|---|
| Format: | Preprint |
| Published: |
2020
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2007.01508 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866909377192001536 |
|---|---|
| author | Trujillo, Justin Raicu, Valerica |
| author_facet | Trujillo, Justin Raicu, Valerica |
| contents | The emergence of an epidemic evokes the need to monitor its spread and assess and validate any mitigation measures enacted by governments and administrative bodies in real time. We present here a method to observe and quantify this spread and the response of affected populations and governing bodies and apply it to COVID-19 as a case study. This method provides means to simultaneously track in real time quantities such as the mortality and the recovery rates as well as the number of new infections caused by an infected person. With sufficient data, this method enables thorough monitoring and assessment of an epidemic without assumptions regarding the evolution of the pandemic in the future. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2007_01508 |
| institution | arXiv |
| publishDate | 2020 |
| record_format | arxiv |
| spellingShingle | Method to monitor the evolution of an epidemic in real time Trujillo, Justin Raicu, Valerica Populations and Evolution Physics and Society The emergence of an epidemic evokes the need to monitor its spread and assess and validate any mitigation measures enacted by governments and administrative bodies in real time. We present here a method to observe and quantify this spread and the response of affected populations and governing bodies and apply it to COVID-19 as a case study. This method provides means to simultaneously track in real time quantities such as the mortality and the recovery rates as well as the number of new infections caused by an infected person. With sufficient data, this method enables thorough monitoring and assessment of an epidemic without assumptions regarding the evolution of the pandemic in the future. |
| title | Method to monitor the evolution of an epidemic in real time |
| topic | Populations and Evolution Physics and Society |
| url | https://arxiv.org/abs/2007.01508 |