ABSTRACT
The inconsistencies between the requirement for, the collection of, and the use of data, and the inconsistencies among analysis models for dealing with different datasets have been solved via communication and thoughts using data jackets to solve problems in real life and solutions to problems using data. In these cases, essential information for the data-federative process has been externalized and used/reused. Feature concept, a model of the concept to be acquired from data that cannot be represented by a simple feature, such as a single variable but can be by a conceptual illustration, turned out to be a core essence here. Decision trees, clusters, and even deep neural networks can be regarded as examples of feature concepts. Useful feature concepts for satisfying the requirements of a data user have been elicited so far among data providers, data users, and other stakeholders in the market of data. In this chapter, the data-jacket-based design of creative communication is reviewed with some cases of application—marketing, detection of earthquake precursors, suppression of COVID-19, cases, and highlight the elicited feature concepts. © 2023, Springer Nature Switzerland AG.
ABSTRACT
This study was aimed at monitoring the adverse reactions to tozinameran (mRNA vaccine against SARS-CoV-2) in the vaccine recipients, and to investigate factors that might affect the risk of development of these reactions. The adverse events (13 injection-site and systemic reactions) on day 1 (vaccination day), day 2, day 3, day 4, and day 5- were monitored in the employees of Fukuoka City Hospital who were vaccinated at the hospital between March 2021 and April 2021. The severities of the adverse reactions were also investigated. The frequencies of virtually all the adverse reactions were the highest on day 2, both after the first and after the second dose. The incidence of adverse reactions on day 2 after the first (and second) vaccine dose was 86.0% (86.9%) for pain at the injection site, 33.2% (76.9%) for fatigue, 14.3% (56.9%) for headache, 37.0% (57.2%) for myalgia, 5.2% (51.1%) for fever, and 9.3% (43.9%) for joint pain. The proportion of recipients with any adverse reactions on day 5- was significantly higher after the second dose than after the first dose. The incidence of moderate to severe adverse reactions (except for pain and swelling at the injection site, and rash) was also significantly higher after the second dose. Differences in the incidence of adverse reactions by sex, age, and number of doses were observed. In particular, female sex, age 55 years or under, and second vaccine dose were associated with a significantly increased incidence of fatigue and headache. Female sex and second vaccine dose were identified as being consistently associated with an increased frequency of adverse reactions. The results of the present study would be useful for predicting adverse reactions in prospective recipients, and for setting the vaccination day.
ABSTRACT
The inconsistencies between the requirement for, the collection of, and the use of data, and the inconsistencies among analysis models for dealing with different datasets have been solved via communication and thoughts using data jackets to solve problems in real life and solutions to problems using data. In these cases, essential information for the data-federative process has been externalized and used/reused. Feature concept, a model of the concept to be acquired from data that cannot be represented by a simple feature, such as a single variable but can be by a conceptual illustration, turned out to be a core essence here. Decision trees, clusters, and even deep neural networks can be regarded as examples of feature concepts. Useful feature concepts for satisfying the requirements of a data user have been elicited so far among data providers, data users, and other stakeholders in the market of data. In this chapter, the data-jacket-based design of creative communication is reviewed with some cases of application—marketing, detection of earthquake precursors, suppression of COVID-19, cases, and highlight the elicited feature concepts. © 2023, Springer Nature Switzerland AG.