Published on in Vol 5 , No 1 (2019) :Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13142, first published .
Google Trends Predicts Present and Future Plague Cases During the Plague Outbreak in Madagascar: Infodemiological Study

Google Trends Predicts Present and Future Plague Cases During the Plague Outbreak in Madagascar: Infodemiological Study

Google Trends Predicts Present and Future Plague Cases During the Plague Outbreak in Madagascar: Infodemiological Study

Authors of this article:

Nicola Luigi Bragazzi 1 Author Orcid Image ;   Naim Mahroum 2 Author Orcid Image

Journals

  1. Pinter G, Felde I, Mosavi A, Ghamisi P, Gloaguen R. COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach. SSRN Electronic Journal 2020 View
  2. Cossin S, Thiébaut R. Public Health and Epidemiology Informatics: Recent Research Trends Moving toward Public Health Data Science. Yearbook of Medical Informatics 2020;29(01):231 View
  3. Pinter G, Felde I, Mosavi A, Ghamisi P, Gloaguen R. COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach. Mathematics 2020;8(6):890 View
  4. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439 View
  5. Strzelecki A. Google Medical Update: Why Is the Search Engine Decreasing Visibility of Health and Medical Information Websites?. International Journal of Environmental Research and Public Health 2020;17(4):1160 View
  6. Aiello A, Renson A, Zivich P. Social Media– and Internet-Based Disease Surveillance for Public Health. Annual Review of Public Health 2020;41(1):101 View
  7. Frauenfeld L, Nann D, Sulyok Z, Feng Y, Sulyok M. Forecasting tuberculosis using diabetes-related google trends data. Pathogens and Global Health 2020;114(5):236 View
  8. Ardabili S, Mosavi A, Ghamisi P, Ferdinand F, Varkonyi-Koczy A, Reuter U, Rabczuk T, Atkinson P. COVID-19 Outbreak Prediction with Machine Learning. Algorithms 2020;13(10):249 View
  9. Gabarron E, Rivera-Romero O, Miron-Shatz T, Grainger R, Denecke K. Role of Participatory Health Informatics in Detecting and Managing Pandemics: Literature Review. Yearbook of Medical Informatics 2021;30(01):200 View
  10. Aragón-Ayala C, Copa-Uscamayta J, Herrera L, Zela-Coila F, Quispe-Juli C. Interest in COVID-19 in Latin America and the Caribbean: an infodemiological study using Google Trends. Cadernos de Saúde Pública 2021;37(10) View
  11. Rosario-Acevedo R, Biryukov S, Bozue J, Cote C. Plague Prevention and Therapy: Perspectives on Current and Future Strategies. Biomedicines 2021;9(10):1421 View
  12. Gupta R, Mohanty V, Balappanavar A, Chahar P, Rijhwani K, Bhatia S. Infodemiology for oral health and disease: A scoping review. Health Information & Libraries Journal 2022;39(3):207 View
  13. Olukanmi S, Nelwamondo F, Nwulu N. Utilizing Google Search Data With Deep Learning, Machine Learning and Time Series Modeling to Forecast Influenza-Like Illnesses in South Africa. IEEE Access 2021;9:126822 View
  14. Elsalti A, Darkhabani M, Alrifaai M, Mahroum N. Celebrities and Medical Awareness—The Case of Celine Dion and Stiff-Person Syndrome. International Journal of Environmental Research and Public Health 2023;20(3):1936 View

Books/Policy Documents

  1. Babu D, Guruprasanna K, Rao Y, Jayakrishna K, Dayanandam G, Reddy P, Chandirika T. Information Systems for Intelligent Systems. View