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Special Issue: Statistical models of disease epidemic to quantify infection dynamics of COVID-19

Guest Editor

Prof. Hiroshi Nishiura
Kyoto University School of Public Health, Japan
Email: nishiurah@med.hokudai.ac.jp

Manuscript Topics
Various modeling studies have been conducted and published in response to the coronavirus disease 2019 (COVID-19), but studies that confront with statistical problems of COVID-19 transmission, natural history, severity and countermeasures via statistical modelling approaches have yet to be systematically reported. Novel quantitative problems have arisen during the course of ongoing pandemic, and now it is the time to tackle this subject with illustrations using rich empirical datasets of COVID-19. We welcome any statistical modelling studies that offer novel insights into previously unknown facts of COVID-19 or significant progress in statistical modelling of infection dynamics.


Instructions for authors
http://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
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Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 30 August 2022

Published Papers(13)

Research article
Estimating relative generation times and reproduction numbers of Omicron BA.1 and BA.2 with respect to Delta variant in Denmark
Kimihito Ito Chayada Piantham Hiroshi Nishiura
2022, Volume 19, Issue 9: 9005-9017. doi: 10.3934/mbe.2022418
Abstract HTML PDF Cited (22) Viewed (4160)
Research article
Prioritizing COVID-19 vaccination. Part 2: Real-time comparison between single-dose and double-dose in Japan
Tetsuro Kobayashi Hiroshi Nishiura
2022, Volume 19, Issue 7: 7410-7424. doi: 10.3934/mbe.2022350
Abstract HTML PDF Cited (5) Viewed (2210)
Research article
Prioritizing COVID-19 vaccination. Part 1: Final size comparison between a single dose and double dose
Tetsuro Kobayashi Hiroshi Nishiura
2022, Volume 19, Issue 7: 7374-7387. doi: 10.3934/mbe.2022348
Abstract HTML PDF Cited (4) Viewed (2416)
Research article
Epidemiology of coronavirus disease 2019 (COVID-19) in Japan during the first and second waves
Ryo Kinoshita Sung-mok Jung Tetsuro Kobayashi Andrei R. Akhmetzhanov Hiroshi Nishiura
2022, Volume 19, Issue 6: 6088-6101. doi: 10.3934/mbe.2022284
Abstract HTML PDF Cited (9) Viewed (3842)
Research article
Transmission dynamics of varicella before, during and after the COVID-19 pandemic in Japan: a modelling study
Ayako Suzuki Hiroshi Nishiura
2022, Volume 19, Issue 6: 5998-6012. doi: 10.3934/mbe.2022280
Abstract HTML PDF Cited (7) Viewed (3531)
Research article
Using the SEIR model to constrain the role of contaminated fomites in spreading an epidemic: An application to COVID-19 in the UK
Avery Meiksin
2022, Volume 19, Issue 4: 3564-3590. doi: 10.3934/mbe.2022164
Abstract HTML PDF Cited (6) Viewed (3338)
Research article
Calibration and prediction for the inexact SIR model
Yan Wang Guichen Lu Jiang Du
2022, Volume 19, Issue 3: 2800-2818. doi: 10.3934/mbe.2022128
Abstract HTML PDF Cited (5) Viewed (3284)
Research article
The number of COVID-19 clusters in healthcare and elderly care facilities averted by vaccination of healthcare workers in Japan, February–June 2021
Misaki Sasanami Taishi Kayano Hiroshi Nishiura
2022, Volume 19, Issue 3: 2762-2773. doi: 10.3934/mbe.2022126
Abstract HTML PDF Cited (14) Viewed (3144)
Research article
Estimating the transmissibility of SARS-CoV-2 VOC 202012/01 in Japan using travel history information
Taishi Kayano Hiroshi Nishiura
2022, Volume 19, Issue 3: 2750-2761. doi: 10.3934/mbe.2022125
Abstract HTML PDF Viewed (3280)
Research article
Phenomenological and mechanistic models for predicting early transmission data of COVID-19
Takeshi Miyama Sung-mok Jung Katsuma Hayashi Asami Anzai Ryo Kinoshita Tetsuro Kobayashi Natalie M. Linton Ayako Suzuki Yichi Yang Baoyin Yuan Taishi Kayano Andrei R. Akhmetzhanov Hiroshi Nishiura
2022, Volume 19, Issue 2: 2043-2055. doi: 10.3934/mbe.2022096
Abstract HTML PDF Cited (3) Viewed (4521)
Research article
What can we learn from COVID-19 data by using epidemic models with unidentified infectious cases?
Quentin Griette Jacques Demongeot Pierre Magal
2022, Volume 19, Issue 1: 537-594. doi: 10.3934/mbe.2022025
Abstract HTML PDF Cited (14) Viewed (3468)
Research article
Not all fun and games: Potential incidence of SARS-CoV-2 infections during the Tokyo 2020 Olympic Games
Natalie M. Linton Sung-mok Jung Hiroshi Nishiura
2021, Volume 18, Issue 6: 9685-9696. doi: 10.3934/mbe.2021474
Abstract HTML PDF Cited (9) Viewed (4542)
Research article
Forecast of the COVID-19 trend in India: A simple modelling approach
Haitao Song Guihong Fan Shi Zhao Huaichen Li Qihua Huang Daihai He
2021, Volume 18, Issue 6: 9775-9786. doi: 10.3934/mbe.2021479
Abstract HTML PDF Cited (19) Viewed (4202)