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EB

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Singapore : Springer Singapore Pte. Limited, 2021

1 online resource (372 pages)

ISBN 9789811657276 (electronic bk.)

ISBN 9789811657269

Economics, Law, and Institutions in Asia Pacific Ser.

Print version: Yano, Makoto Socio-Life Science and the COVID-19 Outbreak Singapore : Springer Singapore Pte. Limited,c2021 ISBN 9789811657269

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.

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 ---

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 ---

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 ---

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.

6.2 Biochemical Tests -- 6.3 Physiological Examination -- 6.4 Genomic and Omics Analysis -- 7 Related Research.

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? ---

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.

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 ---

2 Materials and Methods -- 2.1 Surveillance System and Case Definition of Dengue Fever.

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.

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 ---

6.2 Biochemical Tests -- 6.3 Physiological Examination -- 6.4 Genomic and Omics Analysis -- 7 Related Research.

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 ---

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? ---

2.2 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 ---

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.

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 ---

001896438

express

(Au-PeEL)EBL6819994

(MiAaPQ)EBC6819994

(OCoLC)1286952167