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

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Superior document:Economics, Law, and Institutions in Asia Pacific Series
:
TeilnehmendeR:
Place / Publishing House:Singapore : : Springer Singapore Pte. Limited,, 2021.
©2022.
Year of Publication:2021
Edition:1st ed.
Language:English
Series:Economics, Law, and Institutions in Asia Pacific Series
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Physical Description:1 online resource (372 pages)
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spelling Yano, Makoto.
Socio-Life Science and the COVID-19 Outbreak : Public Health and Public Policy.
1st ed.
Singapore : Springer Singapore Pte. Limited, 2021.
©2022.
1 online resource (372 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Economics, Law, and Institutions in Asia Pacific Series
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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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Electronic books.
Matsuda, Fumihiko.
Sakuntabhai, Anavaj.
Hirota, Shigeru.
Print version: Yano, Makoto Socio-Life Science and the COVID-19 Outbreak Singapore : Springer Singapore Pte. Limited,c2021 9789811657269
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https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6819994 Click to View
language English
format eBook
author Yano, Makoto.
spellingShingle Yano, Makoto.
Socio-Life Science and the COVID-19 Outbreak : Public Health and Public Policy.
Economics, Law, and Institutions in Asia Pacific Series
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.
author_facet Yano, Makoto.
Matsuda, Fumihiko.
Sakuntabhai, Anavaj.
Hirota, Shigeru.
author_variant m y my
author2 Matsuda, Fumihiko.
Sakuntabhai, Anavaj.
Hirota, Shigeru.
author2_variant f m fm
a s as
s h sh
author2_role TeilnehmendeR
TeilnehmendeR
TeilnehmendeR
author_sort Yano, Makoto.
title Socio-Life Science and the COVID-19 Outbreak : Public Health and Public Policy.
title_sub Public Health and Public Policy.
title_full Socio-Life Science and the COVID-19 Outbreak : Public Health and Public Policy.
title_fullStr Socio-Life Science and the COVID-19 Outbreak : Public Health and Public Policy.
title_full_unstemmed Socio-Life Science and the COVID-19 Outbreak : Public Health and Public Policy.
title_auth Socio-Life Science and the COVID-19 Outbreak : Public Health and Public Policy.
title_new Socio-Life Science and the COVID-19 Outbreak :
title_sort socio-life science and the covid-19 outbreak : public health and public policy.
series Economics, Law, and Institutions in Asia Pacific Series
series2 Economics, Law, and Institutions in Asia Pacific Series
publisher Springer Singapore Pte. Limited,
publishDate 2021
physical 1 online resource (372 pages)
edition 1st ed.
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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fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>11090nam a22004813i 4500</leader><controlfield tag="001">5006819994</controlfield><controlfield tag="003">MiAaPQ</controlfield><controlfield tag="005">20240229073845.0</controlfield><controlfield tag="006">m o d | </controlfield><controlfield tag="007">cr cnu||||||||</controlfield><controlfield tag="008">240229s2021 xx o ||||0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9789811657276</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9789811657269</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MiAaPQ)5006819994</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(Au-PeEL)EBL6819994</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1286952167</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">MiAaPQ</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">MiAaPQ</subfield><subfield code="d">MiAaPQ</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">JF1525.P6</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yano, Makoto.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Socio-Life Science and the COVID-19 Outbreak :</subfield><subfield code="b">Public Health and Public Policy.</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Singapore :</subfield><subfield code="b">Springer Singapore Pte. Limited,</subfield><subfield code="c">2021.</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2022.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (372 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Economics, Law, and Institutions in Asia Pacific Series</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources.</subfield></datafield><datafield tag="590" ind1=" " ind2=" "><subfield code="a">Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. </subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Matsuda, Fumihiko.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sakuntabhai, Anavaj.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hirota, Shigeru.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Yano, Makoto</subfield><subfield code="t">Socio-Life Science and the COVID-19 Outbreak</subfield><subfield code="d">Singapore : Springer Singapore Pte. Limited,c2021</subfield><subfield code="z">9789811657269</subfield></datafield><datafield tag="797" ind1="2" ind2=" "><subfield code="a">ProQuest (Firm)</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Economics, Law, and Institutions in Asia Pacific Series</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6819994</subfield><subfield code="z">Click to View</subfield></datafield></record></collection>