Real-time Prescription Surveillance and its Application to Monitoring Seasonal Influenza Activity in Japan

Journals

1. Rattanaumpawan P, Boonyasiri A, Vong S, Thamlikitkul V. Systematic review of electronic surveillance of infectious diseases with emphasis on antimicrobial resistance surveillance in resource-limited settings. American Journal of Infection Control 2018;46(2):139 View
2. Ohkusa Y, Sugawara T, Kawanohara H, Kamei M. Evaluation of the global action plan on antimicrobial resistance in Japan during its first eighteen months. Drug Discoveries & Therapeutics 2018;12(3):182 View
3. Pivette M, Mueller J, Crépey P, Bar-Hen A. Drug sales data analysis for outbreak detection of infectious diseases: a systematic literature review. BMC Infectious Diseases 2014;14(1) View
4. Sugawara T, Ohkusa Y, Kawanohara H, Kamei M. Prescription surveillance for early detection system of emerging and reemerging infectious disease outbreaks. BioScience Trends 2018;12(5):523 View
5. Yang C, Chen R, Chou W, Lee Y, Lo Y. An Integrated Influenza Surveillance Framework Based on National Influenza-Like Illness Incidence and Multiple Hospital Electronic Medical Records for Early Prediction of Influenza Epidemics: Design and Evaluation. Journal of Medical Internet Research 2019;21(2):e12341 View
6. Pung R, Lee V. Implementing the World Health Organization Pandemic Influenza Severity Assessment framework—Singapore's experience. Influenza and Other Respiratory Viruses 2020;14(1):3 View
7. SHIMIZU E, KAWAHARA K. Assessment of Medical Information Databases to Estimate Patient Numbers. Japanese Journal of Pharmacoepidemiology/Yakuzai ekigaku 2014;19(1):1 View
8. SUGAWARA T, OHKUSA Y, GU Y, KAWANOHARA H, TANIGUCHI K, OKABE N. Estimation of Amount of Antimicrobials Used by Pharmacy Surveillance. Japanese Journal of Infection Prevention and Control 2012;27(3):195 View
9. Tanabe Y, Kurita J, Nagasu N, Sugawara T, Ohkusa Y. Infection Control in Nursery Schools and Schools Using a School Absenteeism Surveillance System. The Tohoku Journal of Experimental Medicine 2019;247(3):173 View
10. Azuma T, Nakada N, Yamashita N, Tanaka H. Prediction, risk and control of anti-influenza drugs in the Yodo River Basin, Japan during seasonal and pandemic influenza using the transmission model for infectious disease. Science of The Total Environment 2015;521-522:68 View
11. Nakamura Y, Kawanohara H, Kamei M. Proposition of real-time precise prediction model of infectious disease patients from Prescription Surveillance using the National Database of Electronic Medical Claims. Journal of Infection and Chemotherapy 2015;21(11):776 View
12. Fujibayashi K, Takahashi H, Tanei M, Uehara Y, Yokokawa H, Naito T. A New Influenza-Tracking Smartphone App (Flu-Report) Based on a Self-Administered Questionnaire: Cross-Sectional Study. JMIR mHealth and uHealth 2018;6(6):e136 View
13. Shimatani N, Sugishita Y, Sugawara T, Nakamura Y, Ohkusa Y, Yamagishi T, Matsui T, Kawano M, Watase H, Morikawa Y, Oishi K. Enhanced Surveillance for the Sports Festival in Tokyo 2013: Preparation for the Tokyo 2020 Olympic and Paralympic Games. Japanese Journal of Infectious Diseases 2015;68(4):288 View
14. PAPENBURG J, CHARLAND K, DE SERRES G, BUCKERIDGE D. The accuracy and timeliness of neuraminidase inhibitor dispensing data for predicting laboratory-confirmed influenza. Epidemiology and Infection 2016;144(8):1592 View
15. NAKAMURA Y, KAWANOHARA H, KAMEI M. Association between Diarrheal Infectious Diseases and Antidiarrheal Drugs Assessed with Prescription Surveillance. Kansenshogaku Zasshi 2015;89(3):388 View
16. Chang Y, Chiang W, Wang W, Lin C, Hung L, Tsai Y, Suen J, Chen Y. Google Trends-based non-English language query data and epidemic diseases: a cross-sectional study of the popular search behaviour in Taiwan. BMJ Open 2020;10(7):e034156 View
17. Sugiura H, Fujimoto T, Sugawara T, Hanaoka N, Konagaya M, Kikuchi K, Hanada E, Okabe N, Ohkusa Y. Prescription Surveillance and Polymerase Chain Reaction Testing to Identify Pathogens during Outbreaks of Infection. BioMed Research International 2013;2013:1 View
18. Kagashe I, Yan Z, Suheryani I. Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data. Journal of Medical Internet Research 2017;19(9):e315 View
19. Nakamura Y, Sugawara T, Kawanohara H, Ohkusa Y, Kamei M, Oishi K. Evaluation of Estimated Number of Influenza Patients from National Sentinel Surveillance Using the National Database of Electronic Medical Claims. Japanese Journal of Infectious Diseases 2015;68(1):27 View
20. Chang Y, Chiang W, Wang W, Lin C, Hung L, Tsai Y, Chen Y. Assessing Epidemic Diseases and Public Opinion through Popular Search Behavior Using Non-English Language Google Trends (Preprint). JMIR Public Health and Surveillance 2018 View
21. NAKAMURA Y, KAWANOHARA H, KAMEI M. Evaluation of the Number of Varicella Patients Estimated by Prescription Surveillance. Kansenshogaku Zasshi 2015;89(1):23 View
22. Nishioka Y, Noda T, Okada S, Myojin T, Kubo S, Higashino T, Nakajima H, Sugiyama T, Ishii H, Imamura T. Association between influenza and the incidence rate of new‐onset type 1 diabetes in Japan. Journal of Diabetes Investigation 2021;12(10):1797 View
23. Choi H, Choi W, Han E. Suggestion of a simpler and faster influenza-like illness surveillance system using 2014–2018 claims data in Korea. Scientific Reports 2021;11(1) View
24. Sugawara T, Ohkusa Y, Taniguchi K, Miyazaki C, Kato Y, Okabe N. Association of bleeding symptoms during influenza infection and administered drugs. Drug Discoveries & Therapeutics 2021;15(5):261 View
25. Casanova L, Cortaredona S, Gaudart J, Launay O, Vanhems P, Villani P, Verger P. Effectiveness of seasonal influenza vaccination in patients with diabetes: protocol for a nested case–control study. BMJ Open 2017;7(8):e016023 View
26. Collin S, Abadpour A, Lambert C, Moury P, Desmoulin A. La surveillance syndromique : un défi pour les Jeux olympiques Paris 2024. Archives des Maladies Professionnelles et de l'Environnement 2024;85(4):102755 View