Data & Pitch 315-01

## Page 1: Overview
- **Topics Covered**:
- Pitching Statistics
- Superfund Sites
- Medicare Data
- Important Dates: Due 3/3

## Page 2: Important Dates
- **Assignments and Quizzes**:
- Food Waste Assignment Due: **3/10 (Monday)**
- Quiz 1 Date: **March 17th** (Read Chapter 1: On the Horizon)

## Page 3: Peer Advocates for Wellbeing Recruitment
- **Resource Link**: [CSU East Bay Peer Advocates Recruitment](https://www.csueastbay.edu/healthed/recruitment.htm)
- **Positions Available**:
- Peer Advocates for Wellbeing
- Student Assistant Coordinator, Wellbeing
- **Benefits of Joining**: Enhance public speaking, leadership, communication, and organizational skills.

## Page 4: Agenda
- **Focus Areas**:
- Review Statistics and Pitch
- Discussion on Health Data

## Page 5: Zoom Functionality (Optional)
- Instructions for using the Zoom Function Menu to select states or regions for health data.

## Page 6: Types of Health Data
- **Epidemiological Data**:
- Track disease trends
- Understand risk factors
- Assess public health programs
- Important Metrics: incidence, prevalence, mortality rates, case fatality rates.
- Demographic Data:
- Age, gender, race/ethnicity, socioeconomic status, geographical location.

## Page 7: Behavioral and Lifestyle Data
- **Connection of Behaviors to Disease**:
- Tobacco Use
- Physical Activity Levels
- Diet (via NHANES)
- **Environmental and Occupational Data**:
- EPA (Environmental Protection Agency)
- OSHA (Occupational Safety and Health Administration)
- Air/water quality, pollution levels, and occupational hazards.

## Page 8: Health Services and Healthcare Utilization Data
- **Data Types**:
- Accessibility and quality of healthcare
- Hospital admissions and emergency department visits
- Insurance coverage rates
- Electronic Health Records (EHR) information
- **Big Data**: Includes various elements from different sources, e.g., wearable device data, social media, etc.

## Page 9: AI in Public Health
- **Application of AI**:
- Analyze big data:
- e.g., Google’s AI tracking flu symptoms
- Automate administrative tasks: data entry, billing
- Assist in diagnostics: image and lab result analysis.
- **Definition of AI**: Systems designed to simulate human intelligence through learning, pattern recognition, and decision-making.

## Page 10: Types of Data Examples
- Patient quality of experience at hospitals
- Mortality rates by disease
- Proportion of Americans swimming
- Pollutant levels in drinking water
- Socioeconomic status in various ethnic groups
- Fitbit data compiled every 10 seconds globally.

## Page 11: Statistic Significance
- **Discussion Point**: Sharing compelling public health statistics.

## Page 12: Key Public Health Statistics
- Homelessness deaths from overdose increased by **488% (2011-2020)**.
- **Obesity**: 2 in 5 American adults.
- **Suicidal Ideation**: 1 in 5 Latinas in high school.
- 44% of global population lives on