LockdownV1, Main, Exploration, bibRecord, 002717

Advice from a systems-biology model of the corona epidemics.

Identifieur interne : 002717 ( Main/Exploration ); précédent : 002716; suivant : 002718

Advice from a systems-biology model of the corona epidemics.

Auteurs : Hans V. Westerhoff [Pays-Bas, Royaume-Uni] ; Alexey N. Kolodkin [Pays-Bas, Luxembourg (pays)]

Source :

NPJ systems biology and applications [ 2056-7189 ] ; 2020.

RBID : pubmed:32532983

Descripteurs français

KwdFr :
- Biologie des systèmes (MeSH), Humains (MeSH), Infections à coronavirus (prévention et contrôle), Infections à coronavirus (transmission), Infections à coronavirus (épidémiologie), Modèles statistiques (MeSH), Pandémies (prévention et contrôle), Pneumopathie virale (prévention et contrôle), Pneumopathie virale (transmission), Pneumopathie virale (épidémiologie), Relations interpersonnelles (MeSH), Épidémies (MeSH).
MESH :
- prévention et contrôle : Infections à coronavirus, Pandémies, Pneumopathie virale.
- épidémiologie : Infections à coronavirus, Pneumopathie virale.
- Biologie des systèmes, Humains, Modèles statistiques, Relations interpersonnelles, Épidémies.

English descriptors

KwdEn :
- COVID-19 (MeSH), Coronavirus Infections (epidemiology), Coronavirus Infections (prevention & control), Coronavirus Infections (transmission), Epidemics (MeSH), Humans (MeSH), Interpersonal Relations (MeSH), Models, Statistical (MeSH), Pandemics (prevention & control), Pneumonia, Viral (epidemiology), Pneumonia, Viral (prevention & control), Pneumonia, Viral (transmission), Systems Biology (MeSH).
MESH :
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- prevention & control : Coronavirus Infections, Pandemics, Pneumonia, Viral.
- transmission : Coronavirus Infections, Pneumonia, Viral.
- COVID-19, Epidemics, Humans, Interpersonal Relations, Models, Statistical, Systems Biology.

Abstract

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.

DOI: 10.1038/s41540-020-0138-8
PubMed: 32532983
PubMed Central: PMC7293297

Affiliations:

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Le document en format XML

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<term>Coronavirus Infections (prevention & control)</term>
<term>Coronavirus Infections (transmission)</term>
<term>Epidemics (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Interpersonal Relations (MeSH)</term>
<term>Models, Statistical (MeSH)</term>
<term>Pandemics (prevention & control)</term>
<term>Pneumonia, Viral (epidemiology)</term>
<term>Pneumonia, Viral (prevention & control)</term>
<term>Pneumonia, Viral (transmission)</term>
<term>Systems Biology (MeSH)</term>
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<keywords scheme="KwdFr" xml:lang="fr"><term>Biologie des systèmes (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Infections à coronavirus (prévention et contrôle)</term>
<term>Infections à coronavirus (transmission)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Modèles statistiques (MeSH)</term>
<term>Pandémies (prévention et contrôle)</term>
<term>Pneumopathie virale (prévention et contrôle)</term>
<term>Pneumopathie virale (transmission)</term>
<term>Pneumopathie virale (épidémiologie)</term>
<term>Relations interpersonnelles (MeSH)</term>
<term>Épidémies (MeSH)</term>
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<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
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<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Coronavirus Infections</term>
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<term>Pandémies</term>
<term>Pneumopathie virale</term>
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<keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
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<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
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<term>Epidemics</term>
<term>Humans</term>
<term>Interpersonal Relations</term>
<term>Models, Statistical</term>
<term>Systems Biology</term>
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<term>Humains</term>
<term>Modèles statistiques</term>
<term>Relations interpersonnelles</term>
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<front><div type="abstract" xml:lang="en">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.</div>
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<Abstract><AbstractText>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.</AbstractText>
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<Reference><Citation>Nat Biotechnol. 2005 Aug;23(8):961-6</Citation>
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<Reference><Citation>Bioinformatics. 2006 Dec 15;22(24):3067-74</Citation>
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	Serveur d'exploration sur le confinement (PubMed)
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Serveur d'exploration sur le confinement (PubMed)

Advice from a systems-biology model of the corona epidemics.

Advice from a systems-biology model of the corona epidemics.

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Abstract

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