Data Science x Public Health

Not all outbreaks spread the same way. Some happen all at once, others unfold in waves, and some continue for long periods of time. The difference often comes down to how people are exposed. In this episode, we break down single, multiple, and continuous exposures in epidemiology using clear definitions, real-world examples, and simple explanations of epidemic curve shapes. Understanding these exp...

Correlation alone doesn’t prove cause. In public health and biostatistics, understanding causal inference and clinical trials methodology is essential for answering real-world questions about interventions, treatments, and outcomes. In this episode, we explain what causal inference is, how clinical trials are designed, and why these methods matter when interpreting health data. You’ll learn the di...

Data science plays a critical role in modern public health. In this episode, we explore the most relevant data science projects used in public health practice and explain why hands-on projects are essential for building real-world analytical skills. You’ll learn about project ideas like disease outbreak prediction, health equity analysis, risk modeling, and public health chatbots, along with where...

Multiple sclerosis (MS) is a complex neurological disease with patterns that vary across populations and regions. In this episode, we break down what multiple sclerosis is, explore key risk factors and epidemiological associations, and explain why MS trends matter in the field of epidemiology and public health. This beginner-friendly overview focuses on population-level insights rather than clinic...

Discover how genes become meaningful data! In this episode, we break down the basics of genomics and bioinformatics, explain how they connect to biostatistics, and explore why these fields are transforming biological research and population-level health studies. Youtube: https://www.youtube.com/@BJANALYTICS Instagram: https://www.instagram.com/bjanalyticsconsulting/ Twitter/X: https://x.com/BJANAL...

What does an AI engineer do in public health? In this episode, we explain what artificial intelligence engineers are, how they work in the public health field, and why their role is becoming increasingly important. You’ll learn where AI engineers typically work, the tools they use, and how AI supports disease surveillance, health analytics, and population-level decision-making. Youtube: https://ww...

What does herpetology have to do with epidemiology? In this episode, we break down what herpetology actually studies, why it’s often confused with epidemiology, and where the two fields truly connect through disease ecology and the One Health approach. This beginner-friendly explanation shows how studying reptiles and amphibians can help epidemiologists understand disease transmission, environment...

How are new drugs actually developed—and where does biostatistics fit in? In this episode, you’ll learn what pharmaceutical product development is, how biostatistics is used throughout the drug development process, and why statistics play a critical role in turning research into approved medicines.  Youtube: https://www.youtube.com/@BJANALYTICS Instagram: https://www.instagram.com/bjanalyticsconsu...

Cholera may seem like a disease of the past, but it remains critical in public health and epidemiology. Learn what cholera is, how it spreads, and why understanding it is essential for protecting populations. Youtube: https://www.youtube.com/@BJANALYTICS Instagram: https://www.instagram.com/bjanalyticsconsulting/ Twitter/X: https://x.com/BJANALYTICS Threads: https://www.threads.com/@bjanalyticscon...

Cloud computing isn’t just for tech companies—it’s transforming public health. Learn what cloud computing is, how it’s applied in public health and data science, and why it’s essential for modern health initiatives. 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 support the podcast. Youtube: htt...

Biometry is a term you’ll often see in biostatistics and public health—but what does it actually mean? In this episode, we break down what biometry is, how it relates to biostatistics, and why it plays an important role in public health research and data analysis. This beginner-friendly overview explains the key differences between biometry and biostatistics and shows where biometry is used in rea...

Molecular epidemiology helps public health experts track, understand, and control disease outbreaks using genetic data. In this episode, you’ll learn what molecular epidemiology is, why it’s important in public health, and how it’s used in real-world epidemiology practice. This beginner-friendly explanation breaks down key concepts, common techniques, and practical examples. Youtube: https://www.y...

Computational biology uses computer science, data analysis, and statistics to understand complex biological and health-related data. In this episode, you’ll learn what computational biology is, how it connects to biostatistics, why it’s important in research and public health, and how these fields work together in real-world applications.  Youtube: https://www.youtube.com/@BJANALYTICS Instagram: h...

Nuclear fusion is often discussed as the future of clean energy—but what does it mean for public health? In this episode, you’ll learn what nuclear fusion is, why it’s gaining attention now, and how it could impact population health, environmental safety, and long-term health outcomes. We’ll also explore the role of public health professionals and data science in evaluating fusion’s benefits, risk...

This special edition episode closes out the year. Happy holidays, and thank you for your continued support. New weekly uploads resume on January 5, 2026. Healthy People 2030 is a national framework that guides public health goals across the United States—but what does it actually do, and why does it matter? In this episode, we break down Healthy People 2030 in simple terms, explain how it works, e...

This special edition episode closes out the year. Happy holidays, and thank you for your continued support. New weekly uploads resume on January 5, 2026. The Salk vaccine was a major turning point in public health and epidemiology. In this episode, we explain what the Salk vaccine was, why it was developed, how it helped stop polio, and how large-scale vaccine trials changed disease surveillance a...

This special edition episode closes out the year. Happy holidays, and thank you for your continued support. New weekly uploads resume on January 5, 2026. Survival analysis is a core method in biostatistics used to study time-to-event data, especially in medical and public health research. In this episode, we break down survival analysis in simple terms, explain why it matters, and discuss how it’s...

Public health is changing fast, and technical skills are becoming more important than ever. In this episode, we break down how a Computer Science degree can support a Master of Public Health program and open doors to modern public health careers. You’ll learn what each degree focuses on, the skills you gain from both programs, how Computer Science tools can be used during an MPH, and the types of...

Public health doesn’t just treat disease — it works to prevent it at every stage. In this episode, you’ll learn how epidemiology uses three levels of prevention to reduce disease impact before it starts, detect it early, and manage long-term outcomes. Using a tuberculosis example, this episode walks step-by-step through how prevention works in real-world public health practice. Youtube: https://ww...

What does “degrees of freedom” really mean in biostatistics—and why does it matter? In this episode, we break down degrees of freedom in simple terms, explain how it’s used in biostatistics, and walk through the formula step by step so you understand what each part represents.  Youtube: https://www.youtube.com/@BJANALYTICS Instagram: https://www.instagram.com/bjanalyticsconsulting/ Twitter/X: http...

How do epidemiologists decide which approach to use when studying health problems? In this episode, you’ll learn what an epidemiological approach is, why it matters, and how it guides research decisions in public health. We’ll break down descriptive and analytical epidemiology, hypothesis generation, intervention and evaluation, and explain how study designs like randomized controlled trials, coho...

Public health is founded on three key pillars: promotion, prevention, and protection. In this episode, you’ll learn what each pillar means, why they are important in public health practice, and how they are applied with simple, real-world examples. This beginner-friendly explanation shows how public health strategies impact daily life. Youtube: https://www.youtube.com/@BJANALYTICS Instagram: https...

Parametric tests are some of the most commonly used tools in biostatistics. In this episode, you’ll learn what parametric tests are, why sampling matters, and how Z tests, T tests, and ANOVA are used in biostatistical analysis. This explanation focuses on concepts to help you build a strong foundation in biostatistics. Youtube: https://www.youtube.com/@BJANALYTICS Instagram: https://www.instagram....

In this episode, we introduce SAS programming for public health, focusing on obesity data. You will learn how SAS is used in public health and explore simple SAS code for analyzing health outcomes.  Youtube: https://www.youtube.com/@BJANALYTICS Instagram: https://www.instagram.com/bjanalyticsconsulting/ Twitter/X: https://x.com/BJANALYTICS Threads: https://www.threads.com/@bjanalyticsconsulting

In this episode, we explore the different types of epidemiology, including infectious disease epidemiology, environmental epidemiology, genetic epidemiology, and cancer epidemiology. This lesson is designed for beginners who want to understand what each category focuses on and why these areas are important in epidemiology. Each category is explained using simple examples to help you connect theory...