Advice from a systems-biology model of the corona epidemics
| dc.creator | Westerhoff, Hans V. | |
| dc.creator | Kolodkin, Alexey N. | |
| dc.date.accessioned | 2020-07-22T16:02:03Z | |
| dc.date.available | 2020-07-22T16:02:03Z | |
| dc.date.created | 2020-06-12 | |
| dc.description.abstractenglish | Using standard systems biology methodologies a 14-compartment dynamic model was developed for the Corona virus epidemic. The model predicts that: (i) it will be impossible to limit lockdown intensity such that sufficient herd immunity develops for this epidemic to die down, (ii) the death toll from the SARS-CoV-2 virus decreases very strongly with increasing intensity of the lockdown, but (iii) the duration of the epidemic increases at first with that intensity and then decreases again, such that (iv) it may be best to begin with selecting a lockdown intensity beyond the intensity that leads to the maximum duration, (v) an intermittent lockdown strategy should also work and might be more acceptable socially and economically, (vi) an initially intensive but adaptive lockdown strategy should be most efficient, both in terms of its low number of casualties and shorter duration, (vii) such an adaptive lockdown strategy offers the advantage of being robust to unexpected imports of the virus, e.g. due to international travel, (viii) the eradication strategy may still be superior as it leads to even fewer deaths and a shorter period of economic downturn, but should have the adaptive strategy as backup in case of unexpected infection imports, (ix) earlier detection of infections is the most effective way in which the epidemic can be controlled, whilst waiting for vaccines. | spa |
| dc.format.extent | 5 páginas | spa |
| dc.format.mimetype | application/pdf | spa |
| dc.identifier.doi | https://doi.org/10.1038/s41540-020-0138-8 | spa |
| dc.identifier.issn | 2056-7189 | spa |
| dc.identifier.other | https://www.nature.com/articles/s41540-020-0138-8 | spa |
| dc.identifier.uri | https://hdl.handle.net/20.500.12010/10941 | |
| dc.publisher | Science Direct | eng |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
| dc.source | reponame:Expeditio Repositorio Institucional UJTL | spa |
| dc.source | instname:Universidad de Bogotá Jorge Tadeo Lozano | spa |
| dc.subject | Epidemias de corona | spa |
| dc.subject.keyword | Systems-biology | spa |
| dc.subject.keyword | Corona epidemics | spa |
| dc.subject.lemb | Síndrome respiratorio agudo grave | spa |
| dc.subject.lemb | COVID-19 | spa |
| dc.subject.lemb | SARS-CoV-2 | spa |
| dc.subject.lemb | Coronavirus | spa |
| dc.title | Advice from a systems-biology model of the corona epidemics | spa |
| dc.type.hasversion | info:eu-repo/semantics/acceptedVersion | spa |
| dc.type.local | Artículo | spa |
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