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.
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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
Abstract
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