Data Science x Public Health

Public health emergencies require preparation long before a crisis begins. This episode introduces MedicalCountermeasures.gov, explains its purpose, and explores how it supports preparedness, response, and protection of public health during emergencies. Link to Medical Countermeasures Official Site: https://medicalcountermeasures.gov 👉 Enjoyed the episode? Follow the show to get new episodes auto...

Protecting patient privacy is essential in public health and medical research. This episode explains how natural language processing is used to automatically de-identify health records, the tools involved, and why this process is critical for research, analytics, and AI development. 👉 Enjoyed the episode? Follow the show to get new episodes automatically. If you found the content helpful, conside...

Nutritional epidemiology explores how diet and nutrition influence health at the population level. This episode introduces the core concepts of the field, the methods used to study diet and disease, and why nutritional epidemiology is essential to public health research and policy. 👉 Enjoyed the episode? Follow the show to get new episodes automatically. If you found the content helpful, consider...

Statistical computing is the backbone of modern biostatistics. In this episode, we introduce what statistical computing is, the core algorithms and computational techniques it relies on, and why these skills are essential for biostatistics, public health research, and data-driven decision-making. 👉 Enjoyed the episode? Follow the show to get new episodes automatically. If you found the content he...

Clear communication is critical in public health. In this episode, we explore how MedlinePlus helps communicate reliable, evidence-based health information to the public and why it is an essential tool. Official MedlinePlus Site: https://medlineplus.gov 👉 Enjoyed the episode? Follow the show to get new episodes automatically. If you found the content helpful, consider leaving a rating or review—i...

Environmental and occupational epidemiology helps explain how the places we live and work influence health outcomes. In this episode, we introduce the core concepts of this field, why it is essential to public health, and how epidemiologists study environmental and workplace exposures. 👉 Enjoyed the episode? Follow the show to get new episodes automatically. If you found the content helpful, cons...

This episode is Part Two of our introduction to time series analysis in biomedical applications. We explore advanced methods used in public health and medical research, including ARIMA models, cross-spectral analysis, and state-space approaches, and why these tools matter in biostatistics. 👉 Enjoyed the episode? Follow the show to get new episodes automatically. If you found the content helpful,...

The Community Tool Box is one of the most powerful free resources in public health. In this episode, we break down what the Community Tool Box is, what it offers, and how it supports community health initiatives, planning, and evaluation. Community Tool Box Official Site: https://ctb.ku.edu/en  👉 Enjoyed the episode? Follow the show to get new episodes automatically. If you found the content help...

Psychiatric epidemiology plays a critical role in understanding mental health at the population level. In this episode, we break down what psychiatric epidemiology is, why it matters for public health, and how it is used within the broader field of epidemiology. 👉 Enjoyed the episode? Follow the show to get new episodes automatically. If you found the content helpful, consider leaving a rating or...

Biomedical data is rarely static—it unfolds over time. In Part One of this series, we introduce how time series analysis is used in biomedical applications and why these methods are essential in biostatistics, public health, and medical research. 👉 Enjoyed the episode? Follow the show to get new episodes automatically. If you found the content helpful, consider leaving a rating or review—it helps...

Measure of America goes beyond disease statistics to provide a full picture of human development in the U.S. Learn how this data informs public health, social equity, and policy decisions through interactive tools, reports, and research insights. Measure of America Official Site: https://measureofamerica.org 👉 Enjoyed the episode? Follow the show to get new episodes automatically. If you found th...

Discover the epidemiology of aging and learn how researchers study health, disease, and functional changes in older adults. From chronic disease to successful aging, this episode explains the key concepts, challenges, and goals of this critical public health field. 👉 Enjoyed the episode? Follow the show to get new episodes automatically. If you found the content helpful, consider leaving a rating...

Discover how high-dimensional omics data is transforming public health research! Learn how techniques like PCA, SVD, and penalized regression help scientists analyze massive biological datasets to predict disease risk, identify biomarkers, and improve population health outcomes. 👉 Enjoyed the episode? Follow the show to get new episodes automatically. If you found the content helpful, consider le...

How do maps help predict outbreaks, identify health disparities, and guide life-saving decisions? This episode introduces geospatial analysis in public health, explaining how location-based data is used to track disease, plan interventions, and improve population health outcomes. 👉 Enjoyed the episode? Follow the show to get new episodes automatically. If you found the content helpful, consider l...

Cancer research isn’t driven by lab work alone—it’s powered by data. This episode explains how biostatistics plays a critical role in cancer research, from designing clinical trials to predicting risk, improving treatments, and understanding cancer at the population level. 👉 Enjoyed the episode? Follow the show to get new episodes automatically. If you found the content helpful, consider leaving...

What if we could understand brain disorders by studying entire populations? This episode introduces neuroepidemiology, explaining how epidemiology and neurology work together to identify risk factors, track disease patterns, and improve prevention and treatment for neurological conditions. 👉 Enjoyed the episode? Follow the show to get new episodes automatically. If you found the content helpful,...

Machine learning is transforming public health by helping identify who is most at risk—before outcomes occur. In this episode, you’ll learn how risk scoring works, the types of machine learning models used to identify high-risk populations, and how these insights support prevention, targeted interventions, and smarter public health decisions. 👉 Enjoyed the episode? Follow the show to get new epis...

Reproductive and perinatal epidemiology focuses on health before, during, and shortly after pregnancy—when risk factors can shape a lifetime of health. In this episode, you’ll learn what this field studies, how epidemiologists use population data to protect mothers and infants, and why early life health matters for public health decision-making worldwide. 👉 Enjoyed the episode? Follow the show to...

Rare diseases affect small populations, but the impact on patients and families is enormous. In this episode, you’ll learn how biostatistics adapts to limited data, why traditional trial designs often fail, and how innovative statistical approaches help bring treatments to rare disease patients. 👉 Enjoyed the episode? Follow the show to get new episodes automatically. If you found the content hel...

Generative AI is no longer just creating text and images—it’s reshaping how public health responds to climate and environmental risks. In this episode (Part Two of the series), we explore how generative AI is applied in climate and environmental health, from improving climate modeling and environmental monitoring to supporting early warning systems for climate-driven disease outbreaks. Learn how A...

Behind every outbreak is a visual pattern waiting to be discovered. In this episode, we explore how data visualization is used in epidemiology to reveal hidden disease patterns, track outbreaks, and communicate public health risk. You’ll learn how epidemiologists use R and tools like ggplot2 to create epidemic curves, heat maps, transmission chains, and phylogenetic trees—turning raw data into ins...

Who gets an organ—and how are those life-or-death decisions made? In this episode, we break down how biostatistics plays a critical role in organ transplantation, from evaluating transplant outcomes to supporting fair and evidence-based allocation decisions. You’ll learn how concepts like risk-adjustment, survival analysis, competing risks, and equity analysis help clinicians and public health pro...

Extreme weather doesn’t just cause visible damage—it can quietly contaminate water systems and trigger disease outbreaks. In this episode, we explore how hurricanes, floods, heat waves, and droughts affect drinking water and sanitation systems, how pathogens spread through contaminated water, and why environmental epidemiology is essential for outbreak detection and public health preparedness in a...

Hormones don’t act in straight lines—and neither does the data used to study them. In this episode, we explore how biostatistics powers endocrinology research, from analyzing hormone rhythms and feedback loops to validating biomarkers and building predictive models. Learn how statistical methods turn complex endocrine data into reliable, evidence-based insights for biomedical and public health res...

Generative AI is changing how public health works—from drafting reports and analyzing data to supporting surveillance and decision-making. In this episode, we break down what generative AI is, how tools like prompt engineering, retrieval-augmented generation (RAG), and LangChain work at a high level, and why these systems are becoming increasingly relevant in public health. We also discuss real-wo...