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...

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 st...

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:/...

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 researc...

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 fiel...

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.

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 ...

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...

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 insight...

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 p...

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 understand...

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 interventio...

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 approa...

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 da...

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...

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 allocat...

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 ...

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 environmenta...

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-augmen...

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 build...

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 do researchers turn raw data into reliable evidence? In this episode, we break down statistical inference in simple terms and explain how biostatisticians use both classical and modern methods to draw conclusions from data. You’ll learn how...

Why do epidemiologists care so much about insects? In this episode, we explain entomology in simple terms and show how it connects directly to epidemiology through vector-borne diseases. You’ll learn how mosquitoes, ticks, and other insects dri...

How do diseases really spread through populations? In this episode, we break down graph networks and show how public health researchers use them to model disease transmission. You’ll learn how connections like social contacts, transportation sy...

Python or SAS—which one actually matters in public health?In this episode, we break down the differences between Python and SAS, when each tool is used, and why both remain critical in modern public health practice. You’ll learn where P...