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):

Published in:

Zoonoses and Public Health (2019), Bd. 66, H. 1, S. 101-107

Verlagsangabe:

Wiley

Language:

English

Full text:

ISSN:

1863-2378

DDC Classifikation:

300 - Social sciences, sociology and anthropology
570 - Life sciences; biology
610 - Medicine and health

Dokumentart:

Article

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