Data Science x Public Health
By BJANALYTICS
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Episodes: 166
Description
This podcast discusses the concepts of data science and public health, and then delves into their intersection, exploring the connection between the two fields in greater detail.
| Episode | Date |
|---|---|
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This Is Why Resource Allocation Models Don’t Work (And Nobody Talks About It)
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May 13, 2026 |
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Everyone Uses Censoring Assumptions… But They Fail When Leaving the Study Is Part of the Outcome
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May 13, 2026 |
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In Theory, Model Averaging Works. In Reality… It Doesn’t
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May 13, 2026 |
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In Theory, Real-Time Health Alerts Work. In Reality… They Don’t
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May 06, 2026 |
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This Is Why Competing Risks Don’t Work (And Nobody Talks About It)
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May 06, 2026 |
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In Theory, External Validation Works. In Reality… It Doesn’t
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May 06, 2026 |
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Everyone Uses Public Health Scorecards… But They Fail When the Incentive Is the Metric
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Apr 29, 2026 |
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Everyone Uses Attack Rates… But They Fail When Exposure Isn’t Shared
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Apr 29, 2026 |
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This Is Why Adjustment for Baseline Differences Doesn’t Work (And Nobody Talks About It)
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Apr 29, 2026 |
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Everyone Uses AI Triage Tools… But They Fail When the Health System Is the Real Problem
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Apr 22, 2026 |
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You’ve Been Using Secondary Attack Rates Wrong — Here’s What Actually Happens
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Apr 22, 2026 |
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Everyone Uses Sensitivity Analyses… But They Fail When the Assumption Space Is Too Small
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Apr 22, 2026 |
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This Is Why Health Equity Dashboards Don’t Work (And Nobody Talks About It)
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Apr 17, 2026 |
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You’ve Been Using Prevalence Wrong — Here’s What Actually Happens
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Apr 17, 2026 |
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You’ve Been Using Statistical Power Wrong — Here’s What Actually Happens
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Apr 17, 2026 |
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New Schedule Update: Introducing Triple-Drop Wednesdays
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Apr 17, 2026 |
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You’ve Been Using Predictive Models Wrong — Here’s What Actually Happens
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Apr 13, 2026 |
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This Is Why Outbreak Curves Don’t Work (And Nobody Talks About It)
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Apr 13, 2026 |
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In Theory, Statistical Significance Works. In Reality… It Doesn’t
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Apr 13, 2026 |
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Everyone Uses Health Risk Maps… But They Fail When the Data Is Delayed
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Apr 12, 2026 |
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Everyone Uses Case Fatality Rates… But They Fail When Detection Is Unequal
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Apr 12, 2026 |
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Everyone Uses Subgroup Analysis… But It Fails When the Study Was Never Built for It
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Apr 12, 2026 |
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In Theory, Benchmark Accuracy Works. In Reality… It Doesn’t
|
Apr 09, 2026 |
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Everyone Uses Incidence Rates… But They Fail When Time at Risk Is Wrong
|
Apr 09, 2026 |
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This Is Why Standard Errors Don’t Work (And Nobody Talks About It)
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Apr 09, 2026 |
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This Is Why Cross-Validation Doesn’t Work (And Nobody Talks About It)
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Apr 06, 2026 |
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This Is Why Screening Programs Don’t Work (And Nobody Talks About It)
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Apr 06, 2026 |
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Everyone Uses Confidence Intervals… But They Fail When Precision Is Confused With Truth
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Apr 06, 2026 |
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Everyone Uses Risk Scores… But They Fail When Care Is Unequal
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Apr 01, 2026 |
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In Theory, Confounding Adjustment Works. In Reality… It Doesn’t
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Apr 01, 2026 |
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This Is Why Regression Adjustment Doesn’t Work (And Nobody Talks About It)
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Apr 01, 2026 |
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You’ve Been Using Dashboards Wrong — Here’s What Actually Happens
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Mar 30, 2026 |
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Infectious Disease Modeling: How Math Predicts Outbreaks Before They Happen
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Mar 30, 2026 |
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Everyone Uses P-Values… But They Fail When the Question Is Causal
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Mar 30, 2026 |
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This AI Sounds Like an Expert… But It Might Be Lying
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Mar 27, 2026 |
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Maternal and Perinatal Epidemiology: Why Pregnancy Outcomes Reveal the Health of a Nation
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Mar 27, 2026 |
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Competing Risks Analysis: When More Than One Outcome Matters
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Mar 27, 2026 |
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Symbolic AI in Public Health: When Rules Beat Neural Networks
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Mar 25, 2026 |
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Heart Disease Should Be Solved… So What Are We Missing?
|
Mar 25, 2026 |
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Healthcare Is Drowning in Data… So Who’s Making Sense of It?
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Mar 25, 2026 |
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This AI Makes Life-or-Death Decisions… But No One Knows Why
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Mar 23, 2026 |
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Cancer Deaths Dropped 34%… Here’s What Most People Don’t Know
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Mar 23, 2026 |
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The Trick That Makes Observational Data Look Like a Clinical Trial
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Mar 23, 2026 |
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Transfer Learning in Public Health: How Pre-Trained AI Models Accelerate Health Research
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Mar 20, 2026 |
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There’s No Such Thing as an Accident… Here’s What Epidemiologists Know
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Mar 20, 2026 |
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Sample Size and Power Analysis: Why Every Study Starts With a Number
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Mar 20, 2026 |
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Reinforcement Learning in Public Health: How AI Learns by Doing
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Mar 18, 2026 |
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Social Epidemiology: How Social Structures Shape Who Gets Sick
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Mar 18, 2026 |
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fMRI Explained: Mapping Thoughts and Decisions
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Mar 18, 2026 |
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Agentic AI in Public Health: Autonomous Systems That Monitor, Predict, and Respond
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Mar 16, 2026 |
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Inside America’s Disease Surveillance System (2026)
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Mar 16, 2026 |
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Bayesian Borrowing Explained: The FDA’s 2026 Clinical Trial Shift
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Mar 16, 2026 |
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AI and Health Equity: Can Algorithms Reduce Bias in Healthcare?
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Mar 13, 2026 |
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Climate Change Epidemiology: Tracking Disease in a Warming World
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Mar 13, 2026 |
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Bayesian Clinical Trials: Why the FDA Is Changing the Rules
|
Mar 13, 2026 |
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Federated Learning: Training AI Without Sharing Patient Data
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Mar 11, 2026 |
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How Epidemiologists Track Disease: Types of Surveillance Systems
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Mar 11, 2026 |
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Missing Data Isn’t Random: Why Deleting Rows Can Mislead You
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Mar 11, 2026 |
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Synthetic Health Data: Fake Data, Real Decisions
|
Mar 09, 2026 |
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One Health Epidemiology: Why Human and Animal Disease Are Connected
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Mar 09, 2026 |
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Meta-Analysis in Biostatistics: When Studies Disagree
|
Mar 09, 2026 |
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Unsupervised Learning Reveals Hidden Health Patterns
|
Mar 04, 2026 |
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What Genomic Surveillance Sees
|
Mar 04, 2026 |
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Applications of Stochastic Processes in Biostatistics
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Mar 04, 2026 |
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Wastewater Early-Warning Systems: How AI Turns Sewers Into Public Health Radar
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Mar 02, 2026 |
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Causal Inference in Epidemiology: From DAGs to Target Trial Emulation
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Mar 02, 2026 |
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Computing With Big Data in Biostatistics - Part Two
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Mar 02, 2026 |
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Not All Disease Tracking Is the Same
|
Feb 27, 2026 |
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Computing With Big Data in Biostatistics - Part One
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Feb 27, 2026 |
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Supervised Learning: How AI Predicts Disease
|
Feb 27, 2026 |
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The Role of AI Chatbots in Health Systems
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Feb 25, 2026 |
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How Big Surveys Really Get Their Data - Part Two
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Feb 25, 2026 |
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Why Genetics Alone Can’t Explain Disease
|
Feb 25, 2026 |
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The Science Behind Medication Safety
|
Feb 23, 2026 |
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How Big Surveys Actually Get Their Data - Part One
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Feb 23, 2026 |
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What Protects the U.S in Health Crises?
|
Feb 23, 2026 |
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NLP for Automated De-Identification of Health Records
|
Feb 20, 2026 |
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How Epidemiology Studies What We Eat
|
Feb 20, 2026 |
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Statistical Computing for Biostatistics
|
Feb 20, 2026 |
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Using MedlinePlus to Communicate Health Information Effectively
|
Feb 18, 2026 |
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Why Where You Live and Work Matters for Health
|
Feb 18, 2026 |
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Advanced Time Series Methods Explained - Part Two
|
Feb 18, 2026 |
|
What Is the Community Tool Box? A Beginner’s Guide for Public Health
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Feb 16, 2026 |
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What is Psychiatric Epidemiology? A Beginner’s Guide
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Feb 16, 2026 |
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Time Series Analysis in Biomedical Applications - Part One
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Feb 16, 2026 |
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Measure of America: Understanding Human Development Beyond Disease
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Feb 13, 2026 |
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Epidemiology of Aging: Understanding Health in Later Life
|
Feb 13, 2026 |
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High-Dimensional Omics Data Integration in Public Health
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Feb 13, 2026 |
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How Geospatial Analysis Transforms Public Health Decision-Making
|
Feb 11, 2026 |
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How Biostatistics Drives Cancer Research and Save Lives
|
Feb 11, 2026 |
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How Neuroepidemiology Reveals Who Is at Risk for Brain Disorders
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Feb 11, 2026 |
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How Machine Learning Identifies High-Risk Populations
|
Feb 09, 2026 |
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Reproductive and Perinatal Epidemiology: Protecting Health Before Birth
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Feb 09, 2026 |
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Rare Diseases and Biostatistics: Solving the Small-Data Problem
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Feb 09, 2026 |
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How Generative AI Is Reshaping Public Health: Climate & Environmental Health (Part Two)
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Feb 06, 2026 |
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How Data Visualization Reveals Hidden Disease Patterns
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Feb 06, 2026 |
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How Biostatistics Helps Save Lives in Organ Transplantation
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Feb 06, 2026 |
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How Extreme Weather Contaminates Water and Triggers Disease
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Feb 04, 2026 |
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How Biostatistics Powers Endocrinology Research
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Feb 04, 2026 |
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How Generative AI is Reshaping Public Health
|
Feb 04, 2026 |
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The Hidden Networks That Control Disease Spread
|
Feb 02, 2026 |
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Why Epidemiologists Study Insects
|
Feb 02, 2026 |
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How Biostatisticians Turn Data Into Evidence
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Feb 02, 2026 |
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Why Diseases Change as Countries Develop
|
Jan 30, 2026 |
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Why Matrices Power Modern Biostatistics
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Jan 30, 2026 |
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Why Public Health Uses Both Python and SAS
|
Jan 30, 2026 |
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The Diseases We Beat (Thanks to Epidemiology)
|
Jan 28, 2026 |
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How Failure Time Data Predicts When Things Break
|
Jan 28, 2026 |
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How Dashboards Turn Public Health Data Into Decisions
|
Jan 28, 2026 |
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These AI Agents Are Quietly Running Modern Public Health
|
Jan 26, 2026 |
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Why Repeated Data Breaks Standard Statistics
|
Jan 26, 2026 |
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How Epidemiologists Make Life-Saving Decisions Without Complete Data
|
Jan 26, 2026 |
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How AI Models Support Pandemic Preparedness
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Jan 23, 2026 |
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How Your Immune System Learns to Fight Back
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Jan 23, 2026 |
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How Bias Enters Statistical Studies (And Why It’s Hard to Remove)
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Jan 23, 2026 |
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How Time-Series Models Predict Disease Outbreaks Before They Happen
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Jan 21, 2026 |
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How Biostatisticians Influence FDA Decisions and Clinical Trials
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Jan 21, 2026 |
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Endemic, Epidemic, or Pandemic: What’s the Difference?
|
Jan 21, 2026 |
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How NLP Detects Public Health Trends from Text Data
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Jan 19, 2026 |
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Why Your Body Fights Before You Know It
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Jan 19, 2026 |
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How Bayesian Models Reveal Hidden Medical Details
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Jan 19, 2026 |
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How Disease Begins at the Molecular Level
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Jan 16, 2026 |
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Correlation Isn’t Enough (Part 2): Advanced Causal Inference in Biostatistics
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Jan 16, 2026 |
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This One Tool Powers Modern Public Health Decisions
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Jan 16, 2026 |
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Why Public Health Relies on Stata
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Jan 14, 2026 |
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Single, Multiple, and Continuous Exposures Explained
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Jan 14, 2026 |
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The Science Behind ‘What Causes What’: Causal Inference & Clinical Trials Explained
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Jan 14, 2026 |
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Data Science Projects for Public Health: What to Build and Why It Matters
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Jan 12, 2026 |
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Multiple Sclerosis Epidemiology Explained
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Jan 12, 2026 |
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What are Genomics and Bioinformatics?
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Jan 12, 2026 |
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Why Public Health Needs AI Engineers
|
Jan 09, 2026 |
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Is Herpetology Part of Epidemiology?
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Jan 09, 2026 |
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How Biostatistics Builds New Drugs
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Jan 09, 2026 |
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Why Cholera Still Matters
|
Jan 07, 2026 |
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What is Cloud Computing in Public Health?
|
Jan 07, 2026 |
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Biometry: The Missing Piece in Biostatistics
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Jan 07, 2026 |
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How DNA Solves Disease Outbreaks
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Jan 05, 2026 |
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The Science Behind Computational Biology
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Jan 05, 2026 |
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Nuclear Fusion Explained: Why It Matters for Public Health
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Jan 05, 2026 |
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Healthy People 2030: The Blueprint Behind U.S Public Health
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Dec 22, 2025 |
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The Salk Vaccine: A Turning Point in Epidemiology
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Dec 22, 2025 |
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How Do Researchers Predict Survival?
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Dec 22, 2025 |
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Is a Computer Science Degree the Secret Weapon for an MPH?
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Dec 19, 2025 |
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How Epidemiology Prevents Disease Before It Gets Worse
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Dec 19, 2025 |
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What Is "Freedom" in Biostatistics? (Degrees of Freedom Explained)
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Dec 19, 2025 |
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How Do Epidemiologists Decide What Approach to Use?
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Dec 17, 2025 |
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3 Public Health Pillars That Shape Your Life
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Dec 17, 2025 |
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Why Z Tests, T Tests, and ANOVA Matter in Biostatistics
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Dec 17, 2025 |
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SAS Programming in Public Health
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Dec 15, 2025 |
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What are the Different Types of Epidemiology?
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Dec 15, 2025 |
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Understanding Chi-Square Tests and Regression in Biostatistics
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Dec 15, 2025 |
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What is Public Health Analytics?
|
Dec 12, 2025 |
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Epidemiologist Career Roadmap
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Dec 12, 2025 |
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Biostatistics Basics: Confidence Intervals, P Values, and Tests
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Dec 12, 2025 |
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Infrastructure and Management Branches of Data Science Explained
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Dec 10, 2025 |
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Predictive Modeling in Epidemiology
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Dec 10, 2025 |
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Descriptive Statistics Further Explained (Part 2)
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Dec 10, 2025 |
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Understanding NLP, Computer Vision, & Deep Learning in Public Health | Data Science
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Dec 09, 2025 |
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What Is Surveillance in Epidemiology?
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Dec 09, 2025 |
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What Is Quantitative Data? (Part One)
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Dec 09, 2025 |
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Population vs Sample: Simple Explanation for Beginners
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Dec 06, 2025 |
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What is an Epidemiological Outbreak?
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Dec 06, 2025 |
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Core Branches of Data Science Explained
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Dec 05, 2025 |
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What is Biostatistics?
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Dec 04, 2025 |
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Understanding Epidemiology: What It Is and Why It Matters
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Dec 03, 2025 |
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Data Science x Public Health
|
Dec 03, 2025 |