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Estimation of Lockdowns' Impact on Well-Being in Selected Countries: An Application of Novel Bayesian Methods and Google Search Queries Data
cris.lastimport.scopus | 2024-02-12T19:10:34Z |
dc.affiliation | Uniwersytet Warszawski |
dc.contributor.author | Cortés, Daniel González |
dc.contributor.author | Drachal, Krzysztof |
dc.date.accessioned | 2024-01-24T23:22:57Z |
dc.date.available | 2024-01-24T23:22:57Z |
dc.date.issued | 2023 |
dc.description.finance | Publikacja bezkosztowa |
dc.description.number | 1 |
dc.description.volume | 20 |
dc.identifier.doi | 10.3390/IJERPH20010421 |
dc.identifier.issn | 1661-7827 |
dc.identifier.uri | https://repozytorium.uw.edu.pl//handle/item/106412 |
dc.identifier.weblink | https://www.mdpi.com/1660-4601/20/1/421 |
dc.language | eng |
dc.pbn.affiliation | economics and finance |
dc.relation.ispartof | International Journal of Environmental Research and Public Health |
dc.relation.pages | 421 |
dc.rights | ClosedAccess |
dc.sciencecloud | nosend |
dc.title | Estimation of Lockdowns' Impact on Well-Being in Selected Countries: An Application of Novel Bayesian Methods and Google Search Queries Data |
dc.type | JournalArticle |
dspace.entity.type | Publication |