Can Google Trends data improve forecasting of Lyme disease incidence?

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Can Google Trends data improve forecasting of Lyme disease incidence?

Author: Kapitany-Foveny, Mate; Ferenci, Tamas; Sulyok, Zita; Kegele, Josua; Richter, Hardy; Valyi-Nagy, Istvan; Sulyok, Mihaly
Tübinger Autor(en):
Sulyok, Zita
Kegele, Josua
Richter, Hardy
Sulyok, Mihály
Published in: Zoonoses and Public Health (2019), Bd. 66, H. 1, S. 101-107
Verlagsangabe: Wiley
Language: English
Full text: http://dx.doi.org/10.1111/zph.12539
ISSN: 1863-2378
DDC Classifikation: 300 - Social sciences, sociology and anthropology
570 - Life sciences; biology
610 - Medicine and health
Dokumentart: Artikel
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