Publications by authors named "Keita Yoshii"
Background: Following an outbreak of coronavirus disease 2019 (COVID-19) on the cruise ship Diamond Princess, passengers and crew were followed-up to determine prognosis. This study examined the epidemiological determinants of COVID-19 natural history using these follow-up data.
Methods: Infection status, diagnosis, clinical symptoms and prognosis were analysed for all passengers and crew members on the Diamond Princess.
Article Synopsis
- This study looks at how to pick the best mathematical models to use when analyzing the effects of different chemicals on living things.
- The researchers tested different ways to exclude or select models by using simulated data from three different chemical substances, each with unique response patterns.
- They found that a method called MA-3 produced the best results in choosing models, suggesting it should be used more often in toxicology assessments.
Background: Japan experienced a multi-generation outbreak of measles from March to May, 2018. The present study aimed to capture the transmission dynamics of measles by employing a simple mathematical model, and also forecast the future incidence of cases.
Methods: Epidemiological data that consist of the date of illness onset and the date of laboratory confirmation were analysed.
An investigation of a measles outbreak in Japan and China, Taiwan, China, March-May 2018.
Western Pac Surveill Response J
November 2018
Objective: To investigate a measles outbreak that spread to Japan and China, Taiwan, China during March-May 2018, exploring the characteristics of the super-spreading event.
Methods: A contact investigation of the index case and reconstruction of the epidemiological dynamics of measles transmission were conducted. Employing a mathematical model, the effective reproduction number was estimated for each generation of cases.