Predictive Modeling for Public Health
( 25 Modules )

Module #1
Introduction to Predictive Modeling in Public Health
Overview of predictive modeling, its importance in public health, and course objectives

Module #2
Public Health Problems and Predictive Modeling
Exploring public health problems and how predictive modeling can help address them

Module #3
Introduction to Data Science for Public Health
Overview of data science concepts, tools, and techniques relevant to public health

Module #4
Data Sources for Public Health Predictive Modeling
Exploring data sources commonly used in public health predictive modeling, including surveillance data, surveys, and administrative data

Module #5
Data Preprocessing and Cleaning for Public Health Data
Best practices for preprocessing and cleaning public health data for predictive modeling

Module #6
Feature Engineering for Public Health Predictive Models
Techniques for extracting, transforming, and selecting relevant features from public health data

Module #7
Introduction to Machine Learning for Public Health
Overview of machine learning concepts and algorithms commonly used in public health predictive modeling

Module #8
Supervised Learning Methods for Public Health Predictive Modeling
Hands-on training with supervised learning algorithms, including linear regression, logistic regression, and decision trees

Module #9
Unsupervised Learning Methods for Public Health Predictive Modeling
Hands-on training with unsupervised learning algorithms, including clustering, principal component analysis, and dimensionality reduction

Module #10
Evaluation Metrics for Public Health Predictive Models
Understanding and interpreting evaluation metrics for public health predictive models, including accuracy, precision, recall, and ROC-AUC

Module #11
Predictive Modeling for Infectious Disease Surveillance
Applying predictive modeling to infectious disease surveillance, including time series forecasting and spatial analysis

Module #12
Predictive Modeling for Chronic Disease Risk Factors
Applying predictive modeling to chronic disease risk factors, including cardiovascular disease and diabetes

Module #13
Predictive Modeling for Healthcare Utilization and Cost
Applying predictive modeling to healthcare utilization and cost, including hospital readmissions and healthcare expenditure

Module #14
Predictive Modeling for Health Disparities and Equity
Applying predictive modeling to health disparities and equity, including social determinants of health and health outcomes

Module #15
Model Interpretation and Communication for Public Health
Best practices for interpreting and communicating predictive model results to public health stakeholders

Module #16
Model Deployment and Maintenance for Public Health
Strategies for deploying and maintaining predictive models in public health settings, including model updating and retraining

Module #17
Ethical Considerations in Public Health Predictive Modeling
Exploring ethical considerations in public health predictive modeling, including bias, fairness, and transparency

Module #18
Collaborating with Stakeholders in Public Health Predictive Modeling
Best practices for collaborating with stakeholders, including policymakers, clinicians, and community groups

Module #19
Case Studies in Public Health Predictive Modeling
Real-world case studies of predictive modeling applications in public health, including successes and challenges

Module #20
Advanced Topics in Public Health Predictive Modeling
Exploring advanced topics, including deep learning, natural language processing, and transfer learning

Module #21
Predictive Modeling for Public Health Policy Development
Applying predictive modeling to inform public health policy development, including policy evaluation and simulation

Module #22
Predictive Modeling for Public Health Emergency Preparedness
Applying predictive modeling to public health emergency preparedness, including disease outbreak detection and response

Module #23
Predictive Modeling for Environmental Health
Applying predictive modeling to environmental health, including climate change, air quality, and water quality

Module #24
Predictive Modeling for Global Health
Applying predictive modeling to global health challenges, including infectious disease transmission and health systems strengthening

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Predictive Modeling for Public Health career

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Predictive Modeling for Public Health ( 25 Modules )

Predictive Modeling for Public Health
( 25 Modules )