Can Google Trends data improve forecasting of Lyme disease incidence?

Kapitany-Foveny, Mate; Ferenci, Tamas; Sulyok, Zita; Kegele, Josua; Richter, Hardy; Valyi-Nagy, Istvan; Sulyok, Mihaly

dc.contributor.author	Sulyok, Zita
dc.contributor.author	Kegele, Josua
dc.contributor.author	Richter, Hardy
dc.contributor.author	Sulyok, Mihály
dc.date.accessioned	2020-06-29T09:03:18Z
dc.date.available	2020-06-29T09:03:18Z
dc.date.issued	2019
dc.identifier.issn	1863-2378
dc.identifier.uri	http://hdl.handle.net/10900/101938
dc.language.iso	en	de_DE
dc.publisher	Wiley	de_DE
dc.relation.uri	http://dx.doi.org/10.1111/zph.12539	de_DE
dc.subject.ddc	300	de_DE
dc.subject.ddc	570	de_DE
dc.subject.ddc	610	de_DE
dc.title	Can Google Trends data improve forecasting of Lyme disease incidence?	de_DE
dc.type	Article	de_DE
utue.quellen.id	20190926111821_02675
utue.publikation.seiten	101-107	de_DE
utue.personen.roh	Kapitany-Foveny, Mate
utue.personen.roh	Ferenci, Tamas
utue.personen.roh	Sulyok, Zita
utue.personen.roh	Kegele, Josua
utue.personen.roh	Richter, Hardy
utue.personen.roh	Valyi-Nagy, Istvan
utue.personen.roh	Sulyok, Mihaly
dcterms.isPartOf.ZSTitelID	Zoonoses and Public Health	de_DE
dcterms.isPartOf.ZS-Issue	1	de_DE
dcterms.isPartOf.ZS-Volume	66	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE