Published on in Vol 5, No 2 (2019): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12214, first published .
Improved Real-Time Influenza Surveillance: Using Internet Search Data in Eight Latin American Countries

Improved Real-Time Influenza Surveillance: Using Internet Search Data in Eight Latin American Countries

Improved Real-Time Influenza Surveillance: Using Internet Search Data in Eight Latin American Countries

Journals

  1. Gónzalez-Bandala D, Cuevas-Tello J, Noyola D, Comas-García A, García-Sepúlveda C. Computational Forecasting Methodology for Acute Respiratory Infectious Disease Dynamics. International Journal of Environmental Research and Public Health 2020;17(12):4540 View
  2. Aiken E, McGough S, Majumder M, Wachtel G, Nguyen A, Viboud C, Santillana M, Pulliam J. Real-time estimation of disease activity in emerging outbreaks using internet search information. PLOS Computational Biology 2020;16(8):e1008117 View
  3. Schwalbe N, Wahl B. Artificial intelligence and the future of global health. The Lancet 2020;395(10236):1579 View
  4. 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
  5. Zangani C, Schifano F, Napoletano F, Arillotta D, Gilgar L, Guirguis A, Corkery J, Gambini O, Vento A. The e-Psychonauts’ ‘Spiced’ World; Assessment of the Synthetic Cannabinoids’ Information Available Online. Current Neuropharmacology 2020;18(10):966 View
  6. Comas-Forgas R, Lancaster T, Calvo-Sastre A, Sureda-Negre J. Exam cheating and academic integrity breaches during the COVID-19 pandemic: An analysis of internet search activity in Spain. Heliyon 2021;7(10):e08233 View
  7. Ma S, Sun Y, Yang S. Using Internet Search Data to Forecast COVID-19 Trends: A Systematic Review. Analytics 2022;1(2):210 View
  8. Jusup M, Holme P, Kanazawa K, Takayasu M, Romić I, Wang Z, Geček S, Lipić T, Podobnik B, Wang L, Luo W, Klanjšček T, Fan J, Boccaletti S, Perc M. Social physics. Physics Reports 2022;948:1 View
  9. Tan M, Leong C, Pang Y, Razali R, Ismail A, Sam I, Abdul Rani R, Chong J, Mohd Zim M, Musa A, Leong J, Idris S, Khor J, Cheong A, El Guerche-Séblain C, Hasmukharay K, Arumugam M, Khalid K, Ismail I, Cheah W. Dearth of influenza among older adults admitted with respiratory symptoms in Malaysia during the coronavirus disease 2019 pandemic in 2021. Frontiers in Medicine 2022;9 View
  10. Liu J, Suzuki S. Real-Time Detection of Flu Season Onset: A Novel Approach to Flu Surveillance. International Journal of Environmental Research and Public Health 2022;19(6):3681 View
  11. Koplewitz G, Lu F, Clemente L, Buckee C, Santillana M, Choisy M. Predicting dengue incidence leveraging internet-based data sources. A case study in 20 cities in Brazil. PLOS Neglected Tropical Diseases 2022;16(1):e0010071 View
  12. Arias F, Zambrano Nunez M, Guerra-Adames A, Tejedor-Flores N, Vargas-Lombardo M. Sentiment Analysis of Public Social Media as a Tool for Health-Related Topics. IEEE Access 2022;10:74850 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. Gunasekeran D, Chew A, Chandrasekar E, Rajendram P, Kandarpa V, Rajendram M, Chia A, Smith H, Leong C. The Impact and Applications of Social Media Platforms for Public Health Responses Before and During the COVID-19 Pandemic: Systematic Literature Review. Journal of Medical Internet Research 2022;24(4):e33680 View
  15. Salgueiro H, Ferreira A, Duarte A, Botelho A. Source Attribution of Antibiotic Resistance Genes in Estuarine Aquaculture: A Machine Learning Approach. Antibiotics 2024;13(1):107 View

Books/Policy Documents

  1. Waring O, Majumder M. Leveraging Data Science for Global Health. View
  2. Francis J, Francis L. Sustaining Surveillance: The Importance of Information for Public Health. View