Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/37320
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DC Field | Value | Language |
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dc.date.accessioned | 2022-05-24T14:18:19Z | - |
dc.date.available | 2022-05-24T14:18:19Z | - |
dc.date.issued | 2020 | - |
dc.date.submitted | 2022-05-24T13:48:27Z | - |
dc.identifier.citation | Zenodo. 10.5281/zenodo.4386507 https://zenodo.org/record/4386507 | - |
dc.identifier.uri | http://hdl.handle.net/1942/37320 | - |
dc.description.abstract | The Stride acronym stands for Simulate Transmission of Infectious DisEases and the model is developed to study the transmission of Influenza, Measles and COVID-19. This version is used to explore the application of universal testing for COVID-19 in Belgium. Reference: Pieter Libin, Lander Willem, Timothy Verstraeten, Andrea Torneri, Joris Vanderlocht, Niel Hens. Assessing the feasibility and effectiveness of household-pooled universal testing to control COVID-19 epidemics. PLoS Computational Biology 17(3): e1008688 (2021). https://doi.org/10.1371/journal.pcbi.1008688 The user manual contains basic info on the project and how to build & use the software. More information on layout, installation, dependencies of the project, licence and platforms that are supported, can be found in the files INSTALL.txt, DEPENDENCIES.txt, LICENSE.txt and PLATFORMS.txt, respectively. Population data is available here: https://zenodo.org/record/4485995#.YH1KtxMzbYU | - |
dc.description.sponsorship | Epidemic intelligence to minimize 2019-nCoV’s public health, economic and social impact in Europe. European Commission. awardNumber:101003688. https://doi.org/10.13039/501100000780 | - |
dc.description.sponsorship | Translational and Transdisciplinary research in Modeling Infectious Diseases. European Commission. awardNumber:682540. https://doi.org/10.13039/501100000780 | - |
dc.publisher | Zenodo | - |
dc.subject.classification | Epidemiology | - |
dc.subject.other | individual-based model | - |
dc.subject.other | infectious diseases | - |
dc.subject.other | transmission | - |
dc.subject.other | covid-19 | - |
dc.subject.other | C++ | - |
dc.title | STRIDE universal testing COVID19 | - |
dc.type | Dataset | - |
local.bibliographicCitation.jcat | DS | - |
dc.description.version | 1.0 | - |
dc.rights.license | Creative Commons Attribution 4.0 International (CC-BY-4.0) | - |
dc.identifier.doi | 10.5281/zenodo.4386507 | - |
dc.identifier.url | https://zenodo.org/record/4386507 | - |
local.provider.type | datacite | - |
local.contributor.datacreator | WILLEM, Lander | - |
local.contributor.datacreator | LIBIN, Pieter | - |
local.contributor.datacreator | KUYLEN, Elise | - |
local.contributor.datacreator | HENS, Niel | - |
local.contributor.datacurator | WILLEM, Lander | - |
local.contributor.rightsholder | WILLEM, Lander | - |
local.format.extent | 21,1 Mb | - |
local.format.mimetype | TGZ | - |
local.contributororcid.datacreator | 0000-0002-9210-1196 | - |
local.contributororcid.datacreator | 0000-0003-3906-758X | - |
local.contributororcid.datacreator | 0000-0002-3528-5507 | - |
local.contributororcid.datacreator | 0000-0003-1881-0637 | - |
local.publication.doi | 10.1371/journal.pcbi.1008688 | - |
dc.rights.access | Open Access | - |
item.contributor | WILLEM, Lander | - |
item.contributor | LIBIN, Pieter | - |
item.contributor | KUYLEN, Elise | - |
item.contributor | HENS, Niel | - |
item.fullcitation | WILLEM, Lander; LIBIN, Pieter; KUYLEN, Elise & HENS, Niel (2020) STRIDE universal testing COVID19. Zenodo. 10.5281/zenodo.4386507 https://zenodo.org/record/4386507. | - |
item.accessRights | Closed Access | - |
item.fulltext | No Fulltext | - |
crisitem.license.code | CC-BY-4.0 | - |
crisitem.license.name | Creative Commons Attribution 4.0 International (CC-BY-4.0) | - |
crisitem.discipline.code | 03030202 | - |
crisitem.discipline.name | Epidemiology | - |
crisitem.discipline.path | Medical and health sciences > Health sciences > Public health sciences > Epidemiology | - |
crisitem.discipline.pathandcode | Medical and health sciences > Health sciences > Public health sciences > Epidemiology (03030202) | - |
Appears in Collections: | Datasets |
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