dc.contributor.author |
Sulyok, Mihály |
|
dc.date.accessioned |
2024-10-07T08:26:32Z |
|
dc.date.available |
2024-10-07T08:26:32Z |
|
dc.date.issued |
2023 |
|
dc.identifier.issn |
1557-1874 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/157815 |
|
dc.language.iso |
en |
de_DE |
dc.publisher |
New York : Springer |
de_DE |
dc.relation.uri |
http://dx.doi.org/10.1007/s11469-021-00706-9 |
de_DE |
dc.subject.ddc |
150 |
de_DE |
dc.subject.ddc |
610 |
de_DE |
dc.title |
Predicting the Number of GHB-Related Toxicologic Admissions Using Google Trends Data |
de_DE |
dc.type |
Article |
de_DE |
utue.quellen.id |
20240730000000_06023 |
|
utue.publikation.seiten |
2006-2016 |
de_DE |
utue.personen.roh |
Kapitany-Foveny, Mate |
|
utue.personen.roh |
Ferenci, Tamas |
|
utue.personen.roh |
Demetrovics, Zsolt |
|
utue.personen.roh |
Sulyok, Mihaly |
|
dcterms.isPartOf.ZSTitelID |
International Journal of Mental Health and Addiction |
de_DE |
dcterms.isPartOf.ZS-Issue |
3 |
de_DE |
dcterms.isPartOf.ZS-Volume |
21 |
de_DE |
utue.fakultaet |
04 Medizinische Fakultät |
de_DE |