This paper is in the following e-collection/theme issue:

mHealth for Data Collection and Research (955) JMIR Theme Issue: COVID-19 Special Issue (2452) Outbreak and Pandemic Preparedness and Management (1727) Infectious Diseases (non-STD/STI) (1575) Hygiene and Infection Prevention (317) Behavioural Surveillance for Public Health (229) Surveillance Systems (462) Theme Issue: Apps for COVID-19 (#Apps4Covid) (136) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517)

Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27342, first published .
On-site Dining in Tokyo During the COVID-19 Pandemic: Time Series Analysis Using Mobile Phone Location Data

On-site Dining in Tokyo During the COVID-19 Pandemic: Time Series Analysis Using Mobile Phone Location Data

On-site Dining in Tokyo During the COVID-19 Pandemic: Time Series Analysis Using Mobile Phone Location Data

Authors of this article:

Miharu Nakanishi1, 2 Author Orcid Image ;   Ryosuke Shibasaki3 Author Orcid Image ;   Syudo Yamasaki1 Author Orcid Image ;   Satoshi Miyazawa4 Author Orcid Image ;   Satoshi Usami5 Author Orcid Image ;   Hiroshi Nishiura6 Author Orcid Image ;   Atsushi Nishida1, 7 Author Orcid Image
Article Authors Cited by (19) Tweetations (33) Metrics

Journals

  1. Kawano Y, Matsumoto R, Motomura E, Shiroyama T, Okada M. Bidirectional Causality between Spreading COVID-19 and Individual Mobilisation with Consumption Motives across Prefectural Borders in Japan. International Journal of Environmental Research and Public Health 2022;19(15):9070 View
  2. Watanabe A, Matsuda H. Effectiveness of feedback control and the trade-off between death by COVID-19 and costs of countermeasures. Health Care Management Science 2023;26(1):46 View
  3. Kimura Y, Seki T, Miyata S, Arai Y, Murata T, Inoue H, Ito N. Hotspot analysis of COVID-19 infection using mobile-phone location data. Artificial Life and Robotics 2023;28(1):43 View
  4. Rashed E, Kodera S, Hirata A. COVID-19 forecasting using new viral variants and vaccination effectiveness models. Computers in Biology and Medicine 2022;149:105986 View
  5. Kodera S, Niimi Y, Rashed E, Yoshinaga N, Toyoda M, Hirata A. Estimation of mRNA COVID-19 Vaccination Effectiveness in Tokyo for Omicron Variants BA.2 and BA.5: Effect of Social Behavior. Vaccines 2022;10(11):1820 View
  6. Ha T, Asada T, Arimura M. Changes in mobility amid the COVID-19 pandemic in Sapporo City, Japan: An investigation through the relationship between spatiotemporal population density and urban facilities. Transportation Research Interdisciplinary Perspectives 2023;17:100744 View
  7. Kubota T. Diseases maps of spatial epidemiological data by R. WIREs Computational Statistics 2023;15(4) View
  8. Ishii Y, Hayakawa K, Chikaraishi M. Sustaining self-restraint until the middle of the COVID-19 pandemic in Tokyo. Scientific Reports 2022;12(1) View
  9. Matsumoto R, Kawano Y, Motomura E, Shiroyama T, Okada M. Analyzing the changing relationship between personal consumption and suicide mortality during COVID-19 pandemic in Japan, using governmental and personal consumption transaction databases. Frontiers in Public Health 2022;10 View
  10. Yamauchi T, Takeuchi S, Uchida M, Saito M, Kokaze A. The association between the dynamics of COVID-19, related measures, and daytime population in Tokyo. Scientific Reports 2022;12(1) View
  11. Tomura H, Tsuzuki S. Associations between components of household expenditures and the rate of change in the number of new confirmed cases of COVID-19 in Japan: Time-series analysis. PLOS ONE 2022;17(4):e0266963 View
  12. Kodera S, Takada A, Rashed E, Hirata A. Projection of COVID-19 Positive Cases Considering Hybrid Immunity: Case Study in Tokyo. Vaccines 2023;11(3):633 View
  13. Okada Y, Yamasaki S, Nishida A, Shibasaki R, Nishiura H. Night-time population consistently explains the transmission dynamics of coronavirus disease 2019 in three megacities in Japan. Frontiers in Public Health 2023;11 View
  14. Murphy C, Lim W, Mills C, Wong J, Chen D, Xie Y, Li M, Gould S, Xin H, Cheung J, Bhatt S, Cowling B, Donnelly C. Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2023;381(2257) View
  15. Kodera S, Ueta H, Unemi T, Nakata T, Hirata A. Population-Level Immunity for Transient Suppression of COVID-19 Waves in Japan from April 2021 to September 2022. Vaccines 2023;11(9):1457 View
  16. Watanabe A, Matsuda H. The trade‐off between deaths by infection and socio‐economic costs in the emerging infectious disease. Population Ecology 2024;66(3):158 View
  17. Qiao J, Nishiura H. Public holidays increased the transmission of COVID-19 in Japan, 2020–2021: a mathematical modelling study. Epidemiology and Health 2024:e2024025 View
  18. Okada Y, Nishiura H. Vaccine-induced reduction of COVID-19 clusters in school settings in Japan during the epidemic wave caused by B.1.1.529 (Omicron) BA.2, 2022. Mathematical Biosciences and Engineering 2024;21(9):7087 View

Books/Policy Documents

  1. Cao Q, Jiang R, Yang C, Fan Z, Song X, Shibasaki R. Machine Learning and Knowledge Discovery in Databases. View