Scaling rates in public health is important if you want to communicate clearly with your audience. My blog post shows you how!
Tag Archives: epidemiologic surveillance
02
Nov
Nov
NHANES data piqued your interest? It’s not all sunshine and roses. Read my blog post to see the pitfalls of NHANES data, and get practical advice about using them in a project.
31
May
May
Curated datasets are useful to know about if you want to do a data science portfolio project on your own. I made this blog post for our group mentoring program. Check out the ones I am promoting on my blog!
13
May
May
“What is the ONC?” is what I used to ask before I realized it involves health technology. Although ONC just means “Office of the National Coordinator”, this agency is now known as HealthIT.gov, as I explain in my blog post.
29
Apr
Apr
You may already know that NACCHO is NOT cheese – but what is it? It’s a professional society for local public health officials. Read my blog post to learn what NACCHO does, and who it serves.
15
Apr
Apr
What is the VA – which stands for Veterans Affairs? This United States federal agency is tasked with ensuring veterans receive their benefits – especially health benefits. Unfortunately, as my blog post explains, the VA is facing a myriad of challenges today, including funding problems as well as corruption.
Quality Assurance/Quality Improvement (QA/QI)
Recommended Model for QA/QI in Healthcare: Epidemiology and Biostatistics, not PDSA! Part 5 of 5
14
Jul
Jul
I describe the three steps of my alternative model to the Plan-Do-Study-Act (PDSA) model for quality assurance/quality improvement (QA/QI) in healthcare.
30
Jun
Jun
The Plan-Do-Study-Act model is promoted for quality assurance/quality improvement in healthcare. But does it have any peer-reviewed evidence base behind it? I examine that in this blog post.
Public Health
Here is the Statistical Reason why Calculating the Coronavirus Mortality Rate is so Difficult
07
Mar
Mar
Why is it so hard to calculate the mortality rate for coronavirus? Read my blog post to find out!