Published on in Vol 3, No 4 (2017): Oct-Dec

Journals
- Gianfredi V, Bragazzi N, 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;6 View
- Bragazzi N, 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):e13142 View
- He Z, Zhang C, Huang J, Zhai J, Zhou S, Chiu J, Sheng J, Tsang W, Akinwunmi B, Ming W. A New Era of Epidemiology: Digital Epidemiology for Investigating the COVID-19 Outbreak in China. Journal of Medical Internet Research 2020;22(9):e21685 View
- Sendler D, Lew-Starowicz M. Digital Ethnography of Zoophilia — A Multinational Mixed-Methods Study. Journal of Sex & Marital Therapy 2019;45(1):1 View
- Watad A, Watad S, Mahroum N, Sharif K, Amital H, Bragazzi N, 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):e9176 View
- 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):101323 View
- 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):101 View
- Rabiolo A, Alladio E, Morales E, McNaught A, Bandello F, Afifi A, Marchese A. Forecasting the COVID-19 Epidemic By Integrating Symptom Search Behavior Into Predictive Models: Infoveillance Study. Journal of Medical Internet Research 2021;23(8):e28876 View
- Kostkova P, Saigí-Rubió F, Eguia H, Borbolla D, Verschuuren M, Hamilton C, Azzopardi-Muscat N, Novillo-Ortiz D. Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic. Frontiers in Digital Health 2021;3 View