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.
Four levels of intervention is a framework we use in public health to think about how to attack a problem. I explain it and give a few examples of application in my blog post (along with a video).
“What is the IHS?” is a reasonable question to ask, because there are a few things that are very special about the IHS and its healthcare facilities. At first glance, these special characteristics may seem positive, but they actually have devastating unintended consequences, as I describe in my blog post.
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.
Time series plots in R are totally customizable using the ggplot2 package, and can come out with a look that is clean and sharp. However, you usually end up fighting with formatting the x-axis and other options, and I explain in my blog post.
“What is the MHS?” is a question not always asked by public health data scientists, but it should be. The MHS – or Military Health System – serves the US military through healthcare facilities in locations where civilians do not have access. I provide an explanation on my blog post.
Data curation solution that I posted recently with my blog post showing how to do upset plots in R using the UpSetR package was itself kind of a masterpiece. Therefore, I thought I’d dedicate this blog post to explaining how and why I did it.
“What is the HRSA?” can be answered two ways: with a short answer, and a long answer. The short answer is that it is the agency that funds public health departments in the United States. The long answer, which I unpack in my blog post, is more nuanced, harrowing, and ultimately, depressing.