Vis enkel innførsel

dc.contributor.authorVoigt, Andre
dc.contributor.authorMartyushenko, Nikolay
dc.contributor.authorKarlsen, Emil
dc.contributor.authorHall, Martina
dc.contributor.authorNyhamar, Kristen
dc.contributor.authorOmholt, Stig William
dc.contributor.authorAlmaas, Eivind
dc.date.accessioned2022-09-26T08:15:07Z
dc.date.available2022-09-26T08:15:07Z
dc.date.created2021-06-11T16:02:47Z
dc.date.issued2021
dc.identifier.citationBMC Infectious Diseases. 2021, 21 .en_US
dc.identifier.issn1471-2334
dc.identifier.urihttps://hdl.handle.net/11250/3021190
dc.description.abstractBackground While invasive social distancing measures have proven efficient to control the spread of pandemics failing wide-scale deployment of vaccines, they carry vast societal costs. The development of a diagnostic methodology for identifying COVID-19 infection through simple testing was a reality only a few weeks after the novel virus was officially announced. Thus, we were interested in exploring the ability of regular testing of non-symptomatic people to reduce cases and thereby offer a non-pharmaceutical tool for controlling the spread of a pandemic. Methods We developed a data-driven individual-based epidemiological network model in order to investigate epidemic countermeasures. This models is based on high-resolution demographic data for each municipality in Norway, and each person in the model is subject to Susceptible-Exposed-Infectious-Recovered (SEIR) dynamics. The model was calibrated against hospitalization data in Oslo, Norway, a city with a population of 700k which we have used as the simulations focus. Results Finding that large households function as hubs for the propagation of COVID-19, we assess the intervention efficiency of targeted pooled household testing (TPHT) repeatedly. For an outbreak with reproductive number R=1.4, we find that weekly TPHT of the 25% largest households brings R below unity. For the case of R=1.2, our results suggest that TPHT with the largest 25% of households every three days in an urban area is as effective as a lockdown in curbing the outbreak. Our investigations of different disease parameters suggest that these results are markedly improved for disease variants that more easily infect young people, and when compliance with self-isolation rules is less than perfect among suspected symptomatic cases. These results are quite robust to changes in the testing frequency, city size, and the household-size distribution. Our results are robust even with only 50% of households willing to participate in TPHT, provided the total number of tests stay unchanged. Conclusions Pooled and targeted household testing appears to be a powerful non-pharmaceutical alternative to more invasive social-distancing and lock-down measures as a localized early response to contain epidemic outbreaks.en_US
dc.language.isoengen_US
dc.publisherBMCen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleContaining pandemics through targeted testing of householdsen_US
dc.title.alternativeContaining pandemics through targeted testing of householdsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber10en_US
dc.source.volume21en_US
dc.source.journalBMC Infectious Diseasesen_US
dc.identifier.doi10.1186/s12879-021-06256-8
dc.identifier.cristin1915344
dc.relation.projectNorges forskningsråd: 271585en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Navngivelse 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Navngivelse 4.0 Internasjonal