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

JMIR Theme Issue: COVID-19 Special Issue (2452) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1728) Statistical Methods for Surveillance and Population Health (156) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20144, first published .
Novel Indicator to Ascertain the Status and Trend of COVID-19 Spread: Modeling Study

Novel Indicator to Ascertain the Status and Trend of COVID-19 Spread: Modeling Study

Novel Indicator to Ascertain the Status and Trend of COVID-19 Spread: Modeling Study

Authors of this article:

Takashi Nakano1 Author Orcid Image ;   Yoichi Ikeda2 Author Orcid Image
Article Authors Cited by (5) Tweetations (26) Metrics

Journals

  1. Chen Z, Shu Z, Huang X, Peng K, Pan J. Modelling Analysis of COVID-19 Transmission and the State of Emergency in Japan. International Journal of Environmental Research and Public Health 2021;18(13):6858 View
  2. Ikeda Y, Sasaki K, Nakano T. A New Compartment Model of COVID-19 Transmission: The Broken-Link Model. International Journal of Environmental Research and Public Health 2022;19(11):6864 View
  3. Sasaki K, Ikeda Y, Nakano T. The Effects of Behavioral Restrictions on the Spread of COVID-19. Reports 2022;5(4):37 View
  4. Sugawara S. Eliminating Human Agency: Why Does Japan Abandon Predictive Simulations?. Science, Technology, & Human Values 2023;48(2):343 View
  5. Sasaki K, Ikeda Y, Nakano T. Quantifying the Regional Disproportionality of COVID-19 Spread : Modeling Study (Preprint). JMIR Formative Research 2024 View