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Socio-Life Science and the COVID-19 Outbreak : Public Health and Public Policy.

Bibliographic Details
Main Author: Yano, Makoto.
Other Authors: Matsuda, Fumihiko., Sakuntabhai, Anavaj., Hirota, Shigeru.
Format: eBook
Language:English
Published: Singapore : Springer Singapore Pte. Limited, 2021.
Edition:1st ed.
Series:Economics, Law, and Institutions in Asia Pacific Series
Subjects:
Electronic books.
Online Access:Click to View
Table of Contents:
  • Intro
  • Foreword by Nagahiro Minato
  • Foreword by Haruhiko Ando
  • Preface
  • Contents
  • Editors and Contributors
  • List of Figures
  • List of Tables
  • Part I Socio-Life Scientific Approach to COVID-19
  • 1 SARS-CoV-2 Variants: Past, Present and Future
  • 1 Introduction: Overview of COG-UK
  • 2 Viral Variants: Context and Drivers
  • 3 Sars-Cov-2 Variants: Past
  • 4 Sars-Cov-2 Variants: Present
  • 5 Sars-Cov-2 Variants: Future
  • References
  • 2 COVID-19 Pandemic and Behavioural Change: The Cases of Florida and Ohio
  • 1 Introduction
  • 2 Results
  • 3 Literature
  • 4 Data
  • 5 Possible Determinants of the COVID-19 Spread
  • 5.1 Acceleration Effect of Population
  • 5.2 Pandemic Suppressing Effect of Population Density
  • 5.3 Pandemic Suppressing Effect of Urbanization
  • 6 Determinants of the Pandemic: Political Leadership and Self-Protection
  • 7 Unique Environments Surrounding Florida
  • 8 Conclusion
  • References
  • 3 Integrating Social Sciences to Mitigate Against Covid
  • 1 Introduction
  • 2 Public Health Intervention Measures
  • 2.1 Testing, Track and Trace
  • 2.2 Quarantine
  • 3 Fundamental Epidemiological Parameters and Superspreaders
  • 4 Travel Restrictions and Mobility-The Value of Social Media and Mobile Phone Data
  • 5 Quantifying the Impact of Travel Restrictions Using Facebook-Worked Examples
  • 5.1 Methods
  • 5.2 Results
  • 5.3 Discussion
  • 6 Incorporating Mobilities for Public Health Preparedness and Response
  • 7 Concluding Remarks
  • References
  • 4 Rethinking the Infodemic: Social Media and Offline Action in the COVID-19 Pandemic
  • 1 Introduction
  • 2 Rumours, Fake News, Conspiracy Theories, and Other Online Content
  • 3 How Does an Information Ecosystem Affect Human Practice?
  • 4 Conclusion
  • References
  • 5 Mapping COVID-19 in Japan and Greater Tokyo Area, Socio-Spatial and Political Analysis of the Epidemic.
  • 1 Introduction
  • 1.1 Is Japan in Crisis Due to the COVID-19 Epidemic?
  • 2 Legal Framework and COVID-19 Countermeasures: Multi-level Policy and Three Pillars Coordination
  • 2.1 First Pillar: Medical and Health System
  • 2.2 Second Pillar: Early Detection of and Early Response to Clusters-Epidemiological Investigations
  • 2.3 Third Pillar: Individual, Collective, and Civic Responsibility
  • 3 Socio-Spatial and Political Approaches of the COVID-19 Counter-Measures
  • 3.1 The First Wave-From January to End of May 2020: Mixed Political and Sanitary Responses
  • 3.2 The Second Wave (from End of June to Mid-September): A Multi-level Coordination
  • 3.3 The Third Wave (Mid-October to Early January): A New Paradigm?
  • 4 Conclusion
  • References
  • 6 Application of SARS-CoV-2 Serology Testing: A Case Study
  • 1 What is SARS-CoV-2 Serology Testing?
  • 2 Antibody Testing for COVID-19: Types and Selection
  • 2.1 CDC Guidelines and EUA of Antibody Testing by FDA
  • 2.2 Types of Antibody Testing
  • 2.3 Dynamics of Seroconversion in COVID-19 Patients
  • 2.4 Antibody Test Selection
  • 3 Epidemiological Study of COVID-19
  • 3.1 Previous Study on Seroprevalence of COVID-19
  • 3.2 Prevalence Surveillance in Kyoto City
  • References
  • Part II Socio-Life Scientific Data Building
  • 7 Cohort Profile: The Nagahama Prospective Genome Cohort for Comprehensive Human Bioscience (The Nagahama Study)
  • 1 Human Biology with Integrated Human Life Information
  • 2 The Nagahama Study and Its Background
  • 3 The Concept of "pre-Primary Prevention"
  • 4 The Nagahama Rules
  • 5 Survey Summary
  • 5.1 Baseline Survey (FY 20072010)
  • 5.2 First Follow-Up Survey (FY 2012-FY 2016)
  • 5.3 Second Follow-Up Survey (FY 2017-)
  • 6 Survey Items
  • 6.1 Questionnaire Survey
  • 6.2 Biochemical Tests
  • 6.3 Physiological Examination
  • 6.4 Genomic and Omics Analysis
  • 7 Related Research.
  • 7.1 Integrated Omics Research Aimed at Elucidating the Mechanism of Skin Aging
  • 7.2 Survey on Social and Economic Behaviour
  • 7.3 Socio-Life Science Study for COVID-19 Pandemic
  • References
  • 8 Nagahama Survey on Social Science
  • 1 Introduction
  • 2 Outline of the Nagahama Social Science Survey
  • 3 First Nagahama Survey (2016 Survey)
  • 3.1 Individual and Family Characteristics
  • 3.2 Social Capital
  • 3.3 Attitudes Towards Risk
  • 3.4 Happiness
  • 3.5 Fairness and Medical System
  • Appendix: The Nagahama Survey
  • References
  • 9 Socio-Life Scientific Survey on COVID-19
  • 1 Introduction
  • 2 Overview of the Survey
  • 2.1 Nagahama Group
  • 2.2 Medical Workers Group
  • 2.3 Survey Method
  • 3 Survey Questions
  • 3.1 Primarily as Dependent Variables
  • 3.2 Primarily as Explanatory Variables
  • 3.3 Additional Questions
  • Appendix: Socio-Life Science Questionnaire on COVID-19 Outbreak
  • References
  • 10 Sharing of Research Data by Blockchain
  • 1 Introduction
  • 2 Blockchain and Decentralized Data Ownership
  • 2.1 Data Security and Data Privacy
  • 2.2 Centralized or Decentralized Data Ownership
  • 2.3 Bitcoin, the First Blockchain Application
  • 3 UniCask: A Use Case of Blockchain Technology
  • 3.1 Proving Ownership on Physical Good Over Internet
  • 3.2 Blockchain for Researchers to Share Their Data
  • 4 Individual Taking Control of Personal Data: Research Data Access (RDA)
  • 4.1 Personal Data
  • 4.2 Research Personal Data Management
  • 4.3 Why Blockchain?
  • 4.4 System Architecture
  • 5 Looking Forward
  • 5.1 Challenges for the Decentralized Ownership Model
  • 5.2 Data Sharing Between Research Teams
  • References
  • Part III Socio-Life Science on Public Health and Behavioural Change
  • 11 Potential Transmission of Dengue Virus in Japan
  • 1 Introduction
  • 2 Materials and Methods
  • 2.1 Surveillance System and Case Definition of Dengue Fever.
  • 2.2 Autochthonous Case Definition and Epidemic Response
  • 2.3 Dengue Data Source
  • 2.4 Background Threshold for Identifying Outliers
  • 2.5 Outlying Events in the Tokyo Epidemic
  • 3 Results
  • 3.1 Japan Annual and Monthly Incidence
  • 3.2 Critical Community Size for Persistent Dengue
  • 3.3 Dengue Incidence and Thresholds
  • 3.4 Tokyo Epidemic Yoyogi Park
  • 4 Discussion
  • References
  • 12 Who Are Free from Hypertension, Dyslipidemia, and Diabetes Mellitus in the Middle-Aged and Elderly Population of Japan?
  • 1 Introduction
  • 2 Method
  • 2.1 Dataset
  • 2.2 Measures
  • 2.3 Statistical Analysis
  • 3 Results
  • 3.1 Characteristics of Study Respondents
  • 3.2 Age, Final Education, and Marital Status
  • 3.3 Alcohol Intake
  • 3.4 Smoking
  • 3.5 Physical Exercise
  • 3.6 Health Check-Up
  • 3.7 Practices to Care for Health
  • 3.8 Others
  • 4 Discussion
  • 4.1 General Remarks
  • 4.2 Consideration on Individual Elements
  • 4.3 Limitations of the Present Study
  • 5 Conclusion
  • References
  • 13 Life and Workplace Satisfaction and Behaviour Change Ability-An Empirical Study in Japan
  • 1 Introduction
  • 2 Outline of the Data
  • 3 Extraction of Behaviour Change Variables
  • 4 Effects of the Degree of Self-Determination and Positive Thinking on Behaviour Change Ability
  • 5 Behaviour Change, Health, and Satisfaction in Life and the Workplace
  • 5.1 Survey Items
  • 5.2 Effects on Health and Satisfaction in Life
  • 5.3 Effects on Satisfaction in Workplace
  • 6 Conclusion
  • References
  • 14 Education Policy and Behavioral Change in Science Learning-An Empirical Analysis Based on Japanese Data
  • 1 Introduction
  • 2 Survey Method and Data Overview
  • 3 Education Policy Changes and Effects on Formation of Science Capability
  • 4 Education Periods in Which "Like Science" and "Dislike Science" Emerged, and the Causes.
  • 5 Factors that Determine the Degree of Strength in Physics in Senior High School
  • 6 Factors that Determine Specialized Skills of Engineers and Researchers
  • 7 Conclusion
  • Appendix
  • References
  • 15 The COVID-19 Outbreak and Public Health Issues: An Interdisciplinary Approach
  • 1 Introduction
  • 2 Covid and the New Need for Interdisciplinary Research. How Interdisciplinary Research Can Be Useful for Policy?
  • 3 How Covid-19 Changed the Way to Do Research?
  • 4 The Question of Research Purpose Testing, Epidemiological Surveys, and Its Related Matters: Reliability, Technology, Methods, Samples, Ethics
  • 5 The Question of Respective Weight of Social and Biological Factors in the Diffusion of the Epidemy
  • 6 Epidemic, Collective Representations and Social Consequences
  • 7 Information and Trust.

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