Optimal, near-optimal, and robust epidemic control
The COVID-19 pandemic has demonstrated the need for non-pharmaceutical epidemic mitigation strategies that can be effective even if they are limited in duration. Here, the authors derive analytically optimal and near-optimal time-limited strategies for limiting the epidemic peak in the Susceptible-I...
Enregistré dans:
| Auteurs principaux: | , , , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/0b357ff47ccb47a6ade860a79c300dba |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| id |
oai:doaj.org-article:0b357ff47ccb47a6ade860a79c300dba |
|---|---|
| record_format |
dspace |
| spelling |
oai:doaj.org-article:0b357ff47ccb47a6ade860a79c300dba2021-12-02T16:45:10ZOptimal, near-optimal, and robust epidemic control10.1038/s42005-021-00570-y2399-3650https://doaj.org/article/0b357ff47ccb47a6ade860a79c300dba2021-04-01T00:00:00Zhttps://doi.org/10.1038/s42005-021-00570-yhttps://doaj.org/toc/2399-3650The COVID-19 pandemic has demonstrated the need for non-pharmaceutical epidemic mitigation strategies that can be effective even if they are limited in duration. Here, the authors derive analytically optimal and near-optimal time-limited strategies for limiting the epidemic peak in the Susceptible-Infectious-Recovered model and show that, due to the sensitivity of such strategies to implementation errors, timely action is fundamental to non-pharmaceutical disease control.Dylan H. MorrisFernando W. RossineJoshua B. PlotkinSimon A. LevinNature PortfolioarticleAstrophysicsQB460-466PhysicsQC1-999ENCommunications Physics, Vol 4, Iss 1, Pp 1-8 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Astrophysics QB460-466 Physics QC1-999 |
| spellingShingle |
Astrophysics QB460-466 Physics QC1-999 Dylan H. Morris Fernando W. Rossine Joshua B. Plotkin Simon A. Levin Optimal, near-optimal, and robust epidemic control |
| description |
The COVID-19 pandemic has demonstrated the need for non-pharmaceutical epidemic mitigation strategies that can be effective even if they are limited in duration. Here, the authors derive analytically optimal and near-optimal time-limited strategies for limiting the epidemic peak in the Susceptible-Infectious-Recovered model and show that, due to the sensitivity of such strategies to implementation errors, timely action is fundamental to non-pharmaceutical disease control. |
| format |
article |
| author |
Dylan H. Morris Fernando W. Rossine Joshua B. Plotkin Simon A. Levin |
| author_facet |
Dylan H. Morris Fernando W. Rossine Joshua B. Plotkin Simon A. Levin |
| author_sort |
Dylan H. Morris |
| title |
Optimal, near-optimal, and robust epidemic control |
| title_short |
Optimal, near-optimal, and robust epidemic control |
| title_full |
Optimal, near-optimal, and robust epidemic control |
| title_fullStr |
Optimal, near-optimal, and robust epidemic control |
| title_full_unstemmed |
Optimal, near-optimal, and robust epidemic control |
| title_sort |
optimal, near-optimal, and robust epidemic control |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/0b357ff47ccb47a6ade860a79c300dba |
| work_keys_str_mv |
AT dylanhmorris optimalnearoptimalandrobustepidemiccontrol AT fernandowrossine optimalnearoptimalandrobustepidemiccontrol AT joshuabplotkin optimalnearoptimalandrobustepidemiccontrol AT simonalevin optimalnearoptimalandrobustepidemiccontrol |
| _version_ |
1718383496031895552 |