Describing, modelling and forecasting the spatial and temporal spread of COVID-19 -- A short review
Fuente:
arXiv
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Preprint |
| Publié: |
2021
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866912388131848192 |
|---|---|
| author | Arino, Julien |
| author_facet | Arino, Julien |
| contents | SARS-CoV-2 started propagating worldwide in January 2020 and has now reached virtually all communities on the planet. This short review provides evidence of this spread and documents modelling efforts undertaken to understand and forecast it, including a short section about the new variants that emerged in late 2020. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2102_02457 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | Describing, modelling and forecasting the spatial and temporal spread of COVID-19 -- A short review Arino, Julien Populations and Evolution SARS-CoV-2 started propagating worldwide in January 2020 and has now reached virtually all communities on the planet. This short review provides evidence of this spread and documents modelling efforts undertaken to understand and forecast it, including a short section about the new variants that emerged in late 2020. |
| title | Describing, modelling and forecasting the spatial and temporal spread of COVID-19 -- A short review |
| topic | Populations and Evolution |
| url | https://arxiv.org/abs/2102.02457 |