Modelling COVID 19 in the Basque Country from introduction to control measure response.
Identifieur interne : 001248 ( Main/Corpus ); précédent : 001247; suivant : 001249Modelling COVID 19 in the Basque Country from introduction to control measure response.
Auteurs : Maíra Aguiar ; Eduardo Millán Ortuondo ; Joseba Bidaurrazaga Van-Dierdonck ; Javier Mar ; Nico StollenwerkSource :
- Scientific reports [ 2045-2322 ] ; 2020.
English descriptors
- KwdEn :
- Betacoronavirus (isolation & purification), COVID-19 (MeSH), Coronavirus Infections (epidemiology), Coronavirus Infections (pathology), Coronavirus Infections (prevention & control), Coronavirus Infections (virology), Humans (MeSH), Models, Theoretical (MeSH), Pandemics (prevention & control), Pneumonia, Viral (epidemiology), Pneumonia, Viral (pathology), Pneumonia, Viral (prevention & control), Pneumonia, Viral (virology), Quarantine (MeSH), SARS-CoV-2 (MeSH), Spain (epidemiology).
- MESH :
- geographic , epidemiology : Spain.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- isolation & purification : Betacoronavirus.
- pathology : Coronavirus Infections, Pneumonia, Viral.
- prevention & control : Coronavirus Infections, Pandemics, Pneumonia, Viral.
- virology : Coronavirus Infections, Pneumonia, Viral.
- COVID-19, Humans, Models, Theoretical, Quarantine, SARS-CoV-2.
Abstract
In March 2020, a multidisciplinary task force (so-called Basque Modelling Task Force, BMTF) was created to assist the Basque health managers and Government during the COVID-19 responses. BMTF is a modelling team, working on different approaches, including stochastic processes, statistical methods and artificial intelligence. Here we describe the efforts and challenges to develop a flexible modeling framework able to describe the dynamics observed for the tested positive cases, including the modelling development steps. The results obtained by a new stochastic SHARUCD model framework are presented. Our models differentiate mild and asymptomatic from severe infections prone to be hospitalized and were able to predict the course of the epidemic, providing important projections on the national health system's necessities during the increased population demand on hospital admissions. Short and longer-term predictions were tested with good results adjusted to the available epidemiological data. We have shown that the partial lockdown measures were effective and enough to slow down disease transmission in the Basque Country. The growth rate [Formula: see text] was calculated from the model and from the data and the implications for the reproduction ratio r are shown. The analysis of the growth rates from the data led to improved model versions describing after the exponential phase also the new information obtained during the phase of response to the control measures. This framework is now being used to monitor disease transmission while the country lockdown was gradually lifted, with insights to specific programs for a general policy of "social distancing" and home quarantining.
DOI: 10.1038/s41598-020-74386-1
PubMed: 33057119
PubMed Central: PMC7560887
Links to Exploration step
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<front><div type="abstract" xml:lang="en">In March 2020, a multidisciplinary task force (so-called Basque Modelling Task Force, BMTF) was created to assist the Basque health managers and Government during the COVID-19 responses. BMTF is a modelling team, working on different approaches, including stochastic processes, statistical methods and artificial intelligence. Here we describe the efforts and challenges to develop a flexible modeling framework able to describe the dynamics observed for the tested positive cases, including the modelling development steps. The results obtained by a new stochastic SHARUCD model framework are presented. Our models differentiate mild and asymptomatic from severe infections prone to be hospitalized and were able to predict the course of the epidemic, providing important projections on the national health system's necessities during the increased population demand on hospital admissions. Short and longer-term predictions were tested with good results adjusted to the available epidemiological data. We have shown that the partial lockdown measures were effective and enough to slow down disease transmission in the Basque Country. The growth rate [Formula: see text] was calculated from the model and from the data and the implications for the reproduction ratio r are shown. The analysis of the growth rates from the data led to improved model versions describing after the exponential phase also the new information obtained during the phase of response to the control measures. This framework is now being used to monitor disease transmission while the country lockdown was gradually lifted, with insights to specific programs for a general policy of "social distancing" and home quarantining.</div>
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<ReferenceList><Reference><Citation>N Engl J Med. 2020 Apr 30;382(18):1708-1720</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32109013</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Microbes Infect. 2020 Mar;22(2):72-73</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32092539</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Lancet Infect Dis. 2020 Jun;20(6):656-657</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32199493</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Euro Surveill. 2020 Jan;25(3):</Citation>
<ArticleIdList><ArticleId IdType="pubmed">31992388</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Science. 2020 May 1;368(6490):489-493</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32179701</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS Med. 2020 Jul 28;17(7):e1003189</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32722715</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS One. 2020 Jul 23;15(7):e0236620</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32702051</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Epidemiol Infect. 2014 Nov;142(11):2447-59</Citation>
<ArticleIdList><ArticleId IdType="pubmed">25267408</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Lancet Infect Dis. 2020 Jun;20(6):697-706</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32224310</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Int J Biol Sci. 2020 Mar 15;16(10):1753-1766</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32226295</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Phys Rev A Gen Phys. 1987 Dec 15;36(12):5782-5790</Citation>
<ArticleIdList><ArticleId IdType="pubmed">9898868</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Virol Sin. 2020 Jun;35(3):266-271</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32125642</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Theor Biol. 2011 Nov 21;289:181-96</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21907213</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Lancet. 2020 Mar 21;395(10228):931-934</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32164834</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Biol Dyn. 2010 Nov;4(6):634-49</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22881209</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS One. 2020 Mar 31;15(3):e0230405</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32231374</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Ann Intern Med. 2020 May 5;172(9):577-582</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32150748</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Science. 2020 May 22;368(6493):860-868</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32291278</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nat Med. 2020 Jun;26(6):855-860</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32322102</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS One. 2013 Aug 05;8(8):e70211</Citation>
<ArticleIdList><ArticleId IdType="pubmed">23940548</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Proc Natl Acad Sci U S A. 2015 Nov 24;112(47):14688-93</Citation>
<ArticleIdList><ArticleId IdType="pubmed">26553981</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
</record>
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