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That's funny. I had to look it up: - https://en.wikipedia.org/wiki/Irn-Bru

A hypothesis connecting dysgeusia due to defects in ATP-P2X3 signaling and fatigue in myalgic encephalomyelitis/chronic fatigue syndrome: lessons learned from long-COVID Srinivasan, Mythily; Joseph, Paule Valery Abstract Myalgic encephalomyelitis (ME)/chronic fatigue syndrome (CFS) is a...

I came back to this. I found out that the 210 "Metro" divisions for the US in Google Trends aren't just arbitrary shapes. They match up with Nielsen Designated Market Area (DMA) boundaries. (These DMAs are "a proprietary geography defined by Nielsen. They are non-overlapping geographic regions...

I've been using the Google Trends results for the ME/CFS Topic. Since Topics are more of a black box in terms of what search terms they contain, I wanted to check how the specific search term "ME/CFS" as well as other terms, correlate to ancestry. This whole thing started with English ancestry...

Just to check how well a Google Trends search for the ME/CFS "Topic" (which should be a combination of related terms, including other languages) compares to the data just for the specific term "ME/CFS", here is the data for both: R^2 = 0.52. That's basically only as good as British ancestry...

I just did some testing and the function works (most of the time - sometimes it seems to just hang.) I was getting worried about the R function getting different data than what I saw in the browser even though I was looking at both at the same time. Then I realized that my browser wasn't going...

Nice, I'll take a look. Python has (had) pytrends, another unofficial API, but it stopped working/being maintained a couple years ago, based on GitHub issues. This note from the maintainer of pytrends is a bit worrying: If Google gives fake data if downloading with a bot, it might affect the...

I think what could be interesting is looking for the best correlations of ME/CFS searches with other searches. For example, if the states that search most for ME/CFS also search most for "mono". There's no publicly available API for Google Trends, though, so data would have to be downloaded one...

Interesting idea. I just did a few quick plots using the time version of the Trends data, one each for worldwide, United Kingdom, and USA. I downloaded the whole timespan at once for each region, which gives one value per month. If downloading one year at a time, it gives one value per week, if...

A few more alcohol related stats. First, I looked at car crash deaths in which the driver had a blood alcohol content (BAC) greater than 0.01 or 0.08, as a proportion of all car crash deaths, from NHTSA. I picked the year 2015, since that seems like it would be the best year to compare to the...

Abstract 6275: Multidimensional analyses of pedigree, epidemiologic, and molecular data provide etiologic clues for myalgic encephalomyelitis/chronic fatigue syndrome. Moslehi, Roxana; Kumar, Anil; Dzutsev, Amiran [Line breaks added] Background Myalgic encephalomyelitis (ME)/chronic fatigue...

I was wondering about the genetics too. One way I was thinking of going about it was, if we assume the DecodeME regions cause ME/CFS, and if we assume being British increases risk of having ME/CFS, then we might expect that one or more of the DecodeME variants might be found more often in...

That's surprising, since the correlation seemed large for both prescription of alcohol addiction drugs as well as deaths due to alcohol from a totally different source. Not only that, but I also ran correlations against around 2800 more variables from a third source, the Correlates of State...

Thread for the study: A Comprehensive Examination of Severely Ill ME/CFS Patients, 2021, Chang et al

An abstract about ME/CFS guidelines has been moved to a new thread: Physical activity for myalgic encephalomyelitis/chronic fatigue syndrome: A clinical practice guideline, 2026, Kirsh et al

It occurs to me that the p-values I've reported for the correlations are probably not totally valid, since the observational units being tested here (states) are not really independent from each other. For example, states near each other will tend to be more similar to each other than to far...

Intriguing...I found another variable (with the help of some brainstorming with AI) that clusters in the two upper corners: higher physical activity. - https://www.worldlifeexpectancy.com/explore/usa/physical-activity-regular/map The data from that map is at this link. I did a quick linear...

Whispers in the Dark: A Critical-Creative Exploration of Lived Experiences of Myalgic Encephalomyelitis (M.E) and Long Covid Based on a Collaborative Audiobook Listening Practice Jackson, Arlene Abstract This thesis is composed of two parts: a novel, Dear Listener, and a critical commentary...

Several posts specifically about the ECHO learning modules have been moved to Long COVID & Post Infectious Syndrome ECHO sessions (University of Utah)

As a sensitivity check to see how much the changes in Google Trends data downloaded on different days would affect the correlations, I redid the above cause of death correlation analysis, but with the re-downloaded Google Trends ME/CFS data for the same time span (2004/01/01 - 2026/03/24)...