Social Media, Internet of Things, and the Future of Public Health Market @ http://www.researchmoz.us/social-media-internet-of-things-and-the-future-of-public-health-report.html There are three main features of public health that define the field and also provide a contrast to the related field of medicine. Public health and medicine often have the similar goals of reducing the impact of disease and improving health and quality of life, but there are some notable differences between the two in the methods of reaching these goals.

1. Social Media, Internet of Things, and the Future of Public Health
Public health is "the science and art of preventing disease, prolonging life and promoting health through the
organized efforts and informed choices of society, organizations, public and private, communities and
individuals." It is concerned with threats to health based on population health analysis. This definition
highlights the role played by members of the community in improving health and in defining what is socially
and publicly acceptable. There are three main features of public health that define the field and also provide a
contrast to the related field of medicine. Public health and medicine often have the similar goals of reducing
the impact of disease and improving health and quality of life, but there are some notable differences between
the two in the methods of reaching these goals. The primary features of public health are a (1) a view that all
people should have healthcare access, regardless of social position, (2) a focus on the health of populations
rather than individuals, and (3) a focus on prevention. The use of social media in public health is taking
shape as Twitter and other forms of social media are leveraged to identify potential outbreaks. Public health
data is rapidly increasing from all sources. Sensors, formerly found only in hospital ICUs, are now portable
and be used at home, and even sometimes while walking. The potential for persistent public health
monitoring may be realized through introduction of machine-to-machine (M2M) communications, embedded
computing/wireless, and related technologies. This report evaluates the impact of social media, Big Data and
analytics, and the so called "Internet of Things (IoT)" on public healthcare. The report evaluates specific
companies, solutions, and applications. The report includes analysis of Big Data and its anticipated use in
public health. Report Benefits:
Identify the tenants of "Public Health 2.0" Identify specific companies, solutions, and applications Identify
the role of Participatory Epidemiology in public health Understand the confluence of Infodemiology and
Infoveillance Understand the role of data-mining, Big Data, and public health Understand the role and
importance of social media in public health Understand the evolution and future direction of healthcare
technology Companies and Organizations in Report:
Abbott Laboratories Adidas miCoach Airstrip Technologies Al Bawaba AliveCor Asthmapolis AstraZeneca
BioCaster Global Health Monitor Blue Shield of California CardioNet Centers for Disease Control and
Prevention (CDC) Centers for Medicare & Medicaid Services (CMS) Central Intelligence Agency DexCom
EpiSPIDER Facebook Inc. Factiva Flu Detector Food and Drug Administration (FDA) FrontlineSMS
GeoChat Geonames Global Public Health Intelligence Network (GPHIN) Google Dengue Trend Google Flu
Trends Google Maps HealthConnect HealthCore HealthMap IMS Health iRhythm Kaiser Permanente Life
Watch Medtronic Inc. Microsoft Research Mood of the Nation NantHealth National Cancer Institute (NCI)
National Institutes of Health (NIH) Nike+ Philips Electronics iPill Proteus Digital Health Prudential Insurance
Company of America Sickweather Skin Scan Sotera Wireless Twitter Inc. U.S. Department of Health and
Human Services UK Health Protection Agency United Nations United States Public Health Service (PHS)
U.S. Department of Agriculture U.S. Department of Homeland Security U.S. Director for National
Intelligence Ushahidi Vitality Withings World Health Organization (WHO) Yahoo Maps Target Audience:
Healthcare service providers Healthcare insurance providers Healthcare technology companies Social media
and networking companies Policy makers, regulatory bodies, and government Consultants and systems
integrators for healthcare technology M2M, Internet of Things (IoT), and general telecommunications
companies Public health institutions including CDC, NIH, FDA, CMS, NRHA, WHO, and others
Social Media, Internet of Things, and the Future of Public Health

2. table Of Contents:
1 Executive Summary 5
2 Introduction 7
3 History Of Public Health 9
4 Public Health Practice 13
4.1 The U.s. Public Health System 14
4.2 Public Health At The Federal Level 14
4.2.1 Centers For Disease Control And Prevention (cdc) 15
4.2.2 National Institutes Of Health (nih) 15
4.2.3 Food And Drug Administration (fda) 15
4.2.4 Centers For Medicare & Medicaid Services (cms) 16
4.3 Public Health At The State And Local Levels 16
5 Public Health Data 17
5.1 Surveillance 18
5.2 Secondary Data 19
5.2.1 The Census 19
5.2.2 Vital Statistics 20
5.2.3 Survey Data 22
5.2.4 Registries 24
5.2.5 Reporting Systems 24
5.2.6 Medicare And Medicaid 26
5.3 Studies 26
5.3.1 Observational Studies 28
5.3.2 Experimental Studies 30
5.3.3 Screening 32
5.4 Epidemiology 34
5.4.1 Basic Epidemiological Measures 35
6 Datamining Social Media, The Internet Of Things And Big Data 38
6.1 Data Mining 38
6.1.1 Preprocessing 39
6.1.2 Data Mining And Analysis 40
6.1.3 Text Mining 41
Social Media, Internet of Things, and the Future of Public Health

3. 6.2 The Internet Of Things 42
6.3 Big Data 44
7 Social Media, Datamining, And Big Data In Public Health 47
7.1 Public Health 2.0 48
7.2 Twitter 49
7.2.1 Influenza And Food Poisoning In New York 50
7.2.2 Post-partum Depression 52
7.2.3 H1n1 In Germany 53
7.2.4 Seasonal Allergies 54
7.3 Mining The Web 55
7.3.1 Datamining News Stories To Predict Cholera Outbreaks 55
7.3.2 Data Mining Downloaded Recipes To Study Dietary Habits 56
7.3.3 Datamining Online Web Searchs To Predict Influenza Outbreaks 57
7.3.4 Online Physician Ratings 58
7.4 Participatory Epidemiology 58
7.4.1 Frontlinesms 59
7.4.2 Ushahidi 59
7.4.3 Geochat 59
7.4.4 Asthmapolis 60
7.4.5 The Gphin Project 60
7.4.6 The Healthmap Project 62
7.4.7 Outbreaks Near Me 63
7.4.8 Biocaster 64
7.4.9 Sickweather 64
7.4.10 The Epispider Project 65
7.5 Reality Mining 66
7.6 Infodemiology And Infosurveillance 67
7.6.1 Google Flu Trends 69
7.6.2 Google Dengue Trend 69
7.6.3 Flu Detector 70
7.6.4 Mood Of The Nation 70
7.7 Big Data And Public Health 71
7.7.1 Kaiser Permanente Healthconnect 72
7.7.2 Blue Shield Of California And Nanthealth 73
7.7.3 Astrazeneca And Healthcore 73
8 The Internet Of Things And The Move To Individuals In Public Health 75
8.1 Population Vs. Individual Thinking 75
8.2 Internet Of Things 77
8.2.1 Diabetes 78
Social Media, Internet of Things, and the Future of Public Health

4. 8.2.2 Ecg And Heart Monitoring 80
8.2.3 Vital Signs 81
8.2.4 Asthma 83
8.2.5 Medical Compliance 84
8.2.6 Smartphone Lab 85
9 Conclusions And Recommendations 87
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Social Media, Internet of Things, and the Future of Public Health