COVIDStrategyCalculator: A software to assesstesting and quarantine strategies for incomingtravelers, contact management, and de-isolation
dc.contributor.author | van der Toorn, Wiep | |
dc.contributor.author | Oh, Djin-Ye | |
dc.contributor.author | von Kleist, Max | |
dc.date.accessioned | 2021-06-14T06:19:58Z | |
dc.date.available | 2021-06-14T06:19:58Z | |
dc.date.issued | 2021-04-20 | none |
dc.identifier.other | 10.1016/j.patter.2021.100264 | |
dc.identifier.uri | http://edoc.rki.de/176904/8363 | |
dc.description.abstract | While large-scale vaccination campaigns against SARS-CoV-2 are rolled out at the time of writing, non-pharmaceutical interventions (NPIs), including the isolation of infected individuals and quarantine of exposed individuals, remain central measures to contain the spread of SARS-CoV-2. Strategies that combine NPIs with innovative SARS-CoV-2 testing strategies may increase containment efficacy and help to shorten quarantine durations. We developed a user-friendly software tool that implements a recently published stochastic within-host viral dynamics model that captures temporal attributes of the viral infection,such as test sensitivity,infectiousness, and the occurrence of symptoms. Based on this model, the software allows to evaluate the efficacy of user-defined, arbitrary NPI and testing strategies in reducing the transmission potential in different contexts.The software thus enables decision makers to explore NPI strategies and perform hypothesis testing ,e.g., with regard to the utilization of novel diagnostics or with regard to containing novel virus variants. | eng |
dc.language.iso | eng | none |
dc.publisher | Robert Koch-Institut | |
dc.rights | (CC BY-NC-ND 3.0 DE) Namensnennung - Nicht-kommerziell - Keine Bearbeitung 3.0 Deutschland | ger |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/de/ | |
dc.subject | SARS-CoV-2 | eng |
dc.subject | non-pharmaceutic intervention | eng |
dc.subject | software | eng |
dc.subject | RDT | eng |
dc.subject | PCR | eng |
dc.subject | testing | eng |
dc.subject | public health | eng |
dc.subject | strategy | eng |
dc.subject | COVID | eng |
dc.subject | antigen | eng |
dc.subject.ddc | 610 Medizin und Gesundheit | none |
dc.title | COVIDStrategyCalculator: A software to assesstesting and quarantine strategies for incomingtravelers, contact management, and de-isolation | none |
dc.type | article | |
dc.identifier.urn | urn:nbn:de:kobv:0257-176904/8363-8 | |
dc.identifier.doi | http://dx.doi.org/10.25646/8642 | |
dc.type.version | publishedVersion | none |
local.edoc.container-title | Patterns | none |
local.edoc.container-issn | 2666-3899 | none |
local.edoc.pages | 9 | none |
local.edoc.type-name | Zeitschriftenartikel | |
local.edoc.container-type | periodical | |
local.edoc.container-type-name | Zeitschrift | |
local.edoc.container-url | https://www.sciencedirect.com/science/article/pii/S2666389921000908?via%3Dihub | none |
local.edoc.container-publisher-name | Elsevier | none |
local.edoc.container-volume | 2 | none |
local.edoc.container-issue | 6 | none |
local.edoc.rki-department | Infektionskrankheiten | none |
dc.description.version | Peer Reviewed | none |