dc.contributor.author |
Sulyok, Mihály |
|
dc.date.accessioned |
2021-04-27T10:21:42Z |
|
dc.date.available |
2021-04-27T10:21:42Z |
|
dc.date.issued |
2021 |
|
dc.identifier.issn |
1865-1682 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/114522 |
|
dc.language.iso |
en |
en |
dc.publisher |
Wiley |
de_DE |
dc.relation.uri |
http://dx.doi.org/10.1111/tbed.13887 |
de_DE |
dc.subject.ddc |
610 |
de_DE |
dc.subject.ddc |
570 |
de_DE |
dc.title |
Google Trends Data and COVID-19 in Europe: Correlations and model enhancement are European wide |
de_DE |
dc.type |
Article |
de_DE |
utue.kommentar.intern |
"First published: 21 October 2020" |
de_DE |
utue.quellen.id |
20210304112512_00585 |
|
utue.publikation.seiten |
2610-2615 |
de_DE |
utue.personen.roh |
Sulyok, Mihaly |
|
utue.personen.roh |
Ferenci, Tamas |
|
utue.personen.roh |
Walker, Mark |
|
dcterms.isPartOf.ZSTitelID |
Transboundary and Emerging Diseases |
de_DE |
dcterms.isPartOf.ZS-Issue |
4 |
de_DE |
dcterms.isPartOf.ZS-Volume |
68 |
de_DE |
utue.fakultaet |
04 Medizinische Fakultät |
de_DE |