Published on 01.12.17 in Vol 3, No 4 (2017): Oct-Dec
Works citing "Discrepancies Between Classic and Digital Epidemiology in Searching for the Mayaro Virus: Preliminary Qualitative and Quantitative Analysis of Google Trends"
According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.9136):
(note that this is only a small subset of citations)
- Bragazzi NL, Mahroum N. Google Trends Predicts Present and Future Plague Cases During the Plague Outbreak in Madagascar: Infodemiological Study. JMIR Public Health and Surveillance 2019;5(1):e13142CrossRef
- Sendler DJ, Lew-Starowicz M. Digital Ethnography of Zoophilia — A Multinational Mixed-Methods Study. Journal of Sex & Marital Therapy 2019;45(1):1CrossRef
- Watad A, Watad S, Mahroum N, Sharif K, Amital H, Bragazzi NL, Adawi M. Forecasting the West Nile Virus in the United States: An Extensive Novel Data Streams–Based Time Series Analysis and Structural Equation Modeling of Related Digital Searching Behavior. JMIR Public Health and Surveillance 2019;5(1):e9176CrossRef
- Sharif K, Watad A, Bridgewood C, Kanduc D, Amital H, Shoenfeld Y. Insights into the autoimmune aspect of premature ovarian insufficiency. Best Practice & Research Clinical Endocrinology & Metabolism 2019;33(6):101323CrossRef
- Kapitány-Fövény M, Ferenci T, Sulyok Z, Kegele J, Richter H, Vályi-Nagy I, Sulyok M. Can Google Trends data improve forecasting of Lyme disease incidence?. Zoonoses and Public Health 2019;66(1):101CrossRef
- Gianfredi V, Bragazzi NL, Nucci D, Martini M, Rosselli R, Minelli L, Moretti M. Harnessing Big Data for Communicable Tropical and Sub-Tropical Disorders: Implications From a Systematic Review of the Literature. Frontiers in Public Health 2018;6CrossRef