Skip to content
Broadly Epi

Broadly Epi

Epidemiology, Broadly Speaking

  • Home
  • Rent-A-Scientist
  • Software
    • Broadly Epi MMWR Archive Database
    • HSE Specialty Care Finder
  • Data Rebellion
    • Social Vulnerability Index Archive and Data Mart
  • Care Resources
    • LGBTQIA+ Health Resources
    • Health Care Affordability Resources
    • List of Resources for People Who Use Drugs
  • Blog
    • Epi Explained: Simplified Epidemiology Concepts
    • MMWR Booster: Simplified Research
    • Python Tutorials
    • CPH Focus
    • R Tutorials
    • Emerging Study
    • Community Experts
  • Contact Us

Tag: EpiExplained

Epi Explained: What are Sensitivity and Specificity in Epidemiology?

Posted on September 19, 2024 by Cody Micah Carmichael MPH, CPH

Epi Explained: What are Sensitivity and Specificity in Epidemiology? Quick Takeaways Sensitivity measures a test’s ability to correctly identify individuals with the disease. Specificity measures how well a test correctly

Read More
Epi Explained EpiExplained, Sensitivity, Specificity Leave a comment

Epi Explained: What is the Difference Between Epidemic, Pandemic and Endemic?

Posted on May 15, 2024 by Cody Micah Carmichael MPH, CPH

In the realm of epidemiology, the terms epidemic, pandemic, and endemic are fundamental in describing the prevalence and geographic spread of diseases. These terms, often used in public health discussions,

Read More
Epi Explained, Tutorial Endemic, Epidemic, EpiExplained, Pandemic Leave a comment

Epi Explained: Understanding Randomized Controlled Trials

Posted on May 1, 2024 by Cody Micah Carmichael MPH, CPH

Clinical trials, particularly randomized controlled trials (RCTs), are critical to  evidence-based interventions, pharmaceutical testing, and public heatlh. They provide the most reliable data on the effectiveness of treatments, interventions, and

Read More
Epi Explained, Tutorial Clinical Trials, EpiExplained, Randomized Controlled Trials Leave a comment

Epi Explained: Understanding Case-Control Study Design

Posted on April 24, 2024 by Cody Micah Carmichael MPH, CPH

Case-control studies are a cornerstone of population research, offering insights into the factors that may contribute to the occurrence of diseases or conditions. These studies are particularly invaluable in understanding

Read More
Epi Explained, Tutorial Case-Control Study, EpiExplained Leave a comment

Epi Explained: Understanding Community Trials

Posted on April 17, 2024 by Cody Micah Carmichael MPH, CPH

Nonrandomized (Community) Trials, also known as observational studies or quasi-experimental studies, are a crucial research design in epidemiology and public health. These studies provide valuable insights into the effects of

Read More
Epi Explained, Tutorial Community Trials, EpiExplained Leave a comment

Epi Explained: Understanding Cohort Studies

Posted on April 10, 2024 by Cody Micah Carmichael MPH, CPH

Cohort studies are a common study method throughout public health and intervention methods. By following groups of people who are alike in many ways but differ by a certain characteristic,

Read More
Epi Explained, Tutorial Cohort Studies, EpiExplained Leave a comment

Epi Explained: Understanding Person-Years

Posted on April 3, 2024 by Cody Micah Carmichael MPH, CPH

Person-years, often encountered in epidemiology and various forms of biomedical and public health research, stands as a pivotal concept that enables researchers to quantify the amount of time that study

Read More
Epi Explained EpiExplained, Person-Years 1 Comment

Epi Explained: Understanding SIR Models

Posted on March 27, 2024 by Cody Micah Carmichael MPH, CPH

The Susceptible-Infectious-Recovered (SIR) model stands as a cornerstone in epidemic modeling, providing a mathematical framework to describe the spread of infectious diseases within a population. This model not only encapsulates

Read More
Epi Explained EpiExplained, SIR Model Leave a comment

Epi Explained: Understanding Relative Risk

Posted on March 20, 2024 by Cody Micah Carmichael MPH, CPH

Relative risk (RR), also known as risk ratio, is a cornerstone concept in epidemiology and public health, offering insight into the strength of the association between an exposure and an

Read More
Epi Explained EpiExplained, Relative Risk Leave a comment

Epi Explained: Understanding T-Tests

Posted on March 13, 2024 by Cody Micah Carmichael MPH, CPH

T-tests are a foundational tool in statistics and public health, enabling researchers to make inferences about population means when the population standard deviation is unknown and the sample size is

Read More
Epi Explained EpiExplained, T-Test Leave a comment
  • ← Previous
  • 1
  • 2
  • 3
  • Next →

Search

Categories

Recent Posts

  • CPH Focus: Evidence-Based Approaches to Public Health : Regression Analysis : Logistic Regression July 29, 2025
  • CPH Focus: Evidence-Based Approaches to Public Health : Regression Analysis : Linear Regression July 24, 2025
  • CPH Focus: Evidence-Based Approaches to Public Health : Regression Analysis : Survival Analysis July 22, 2025
  • CPH Focus: Evidence-Based Approaches to Public Health : Hypothesis Testing : Parametric and Non-parametric Tests July 17, 2025
  • CPH Focus: Evidence-Based Approaches to Public Health : Hypothesis Testing : Type I and Type II errors July 15, 2025
  • CPH Focus: Evidence-Based Approaches to Public Health : Hypothesis Testing : Null and Alternative Hypotheses July 10, 2025
  • CPH Focus: Evidence-Based Approaches to Public Health: Biostatistics – Probability: Probability Distributions June 12, 2025
  • CPH Focus: Evidence-Based Approaches to Public Health: Biostatistics – Probability: Basic Probability Concepts June 10, 2025
  • CPH Focus: Evidence-Based Approaches to Public Health: Biostatistics – Inferential Statistics: p-Values and Statistical Significance June 5, 2025
  • CPH Focus: Evidence-Based Approaches to Public Health: Biostatistics – Inferential Statistics: Confidence Intervals June 3, 2025

Recent Posts

  • CPH Focus: Evidence-Based Approaches to Public Health : Regression Analysis : Logistic Regression
  • CPH Focus: Evidence-Based Approaches to Public Health : Regression Analysis : Linear Regression
  • CPH Focus: Evidence-Based Approaches to Public Health : Regression Analysis : Survival Analysis
  • CPH Focus: Evidence-Based Approaches to Public Health : Hypothesis Testing : Parametric and Non-parametric Tests
  • CPH Focus: Evidence-Based Approaches to Public Health : Hypothesis Testing : Type I and Type II errors

Recent Comments

  1. Dhananjay Shukla on Epi Explained: Understanding Person-Years
  2. Jim Beller on Shaping Health Equity: The Impact of State-Level Policies on LGBTQ Health Outcomes Over Two Decades
  3. Gerald Stehura on COVID-19 Vaccine Hesitancy in the U.S.: Trends and Implications

Archives

  • July 2025
  • June 2025
  • February 2025
  • January 2025
  • December 2024
  • November 2024
  • October 2024
  • September 2024
  • August 2024
  • May 2024
  • April 2024
  • March 2024
  • February 2024
  • January 2024
  • November 2022
  • August 2022
  • April 2022

Categories

  • Announcements
  • Community Experts
  • CPH Focus
  • Emerging Study
  • Epi Explained
  • MMWR Booster
  • Python
  • R
  • Software
  • Tutorial
  • Github
  • BlueSky
  • Threads
  • LinkedIn