I thought I would explain why I am so concerned about H5N1. Even if it isn't causing severe illness and death at present in humans, each infection exponentially increases the chance of mutation to a version that would.
2- To date, the case fatality rate has been about 56%, although that number could be high due to insufficient testing leading to case ascertainment bias.
4- Thousands of cells are infected in a person, so the infected person is producing trillions of new virus copies regularly until the infection subsides.
5- In addition, influenza is a very sloppy replicator and mutates regularly, hence the need for a new booster each year. It's also known as a promiscuous virus in that it picks up genetic material from its environment and can incorporate it into its genome.
6- Some of the replication is so bad that it produces non-viable virus copies. The other end of that spectrum is true too though, in that it can produce a more transmissible and more lethal virus.
7- That's where evolution kicks in. A virus can't succeed if it kills too many people too quickly because it burns out its potential hosts. That's what makes COVID such a perfect virus. It mutates and causes reinfections, but also VERY slow deaths that will take 1-2 decades.
8-8 A H5N1 pandemic could easily do just the opposite with high mortality and rapid spread, wiping out a billion people in a year. I really hope that doesn't happen but this is the kind of thing that makes me lose sleep at night.
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1-6 I'm working on a presentation for physicians beginning residency. I'm building an entire section on
"pandemicene" trends. Here is TB in the US. I found something interesting.
2- The blue line with the red section is the rate of TB per 100,000 population. It has been going downward for decades, which is exactly what we want to see. This also can be visualized as the percentage change (yellow line), which we want to maintain below zero (dashed line).
3- The orange dots are the 5-year moving average of his percentage change. There is one point at which it goes above the dashed line and corresponds to the incidence rate line that I have as red.
1-4 I had a third case of mumps come across my desk in the past week. It's worth putting this in some perspective.
2- For the past four years, the US has averaged 421 cases/year. Note the big drop due to when we were using NPIs against COVID.
3- I'm currently in a region of the country with about 300,000 people and about 10 hospitals. The one I'm at is the largest and represents about 40% of the beds. Most hospitals are community access.
It looks like we have hit the bottom of the curve for wastewater in the US. Also notice how the bottoms keep getting higher and higher. Notice how the y-axis gives concentrations.
2- Here is the wastewater data from the CDC for the past year. Notice how the national "activity level" (black line) is climbing.
3- Here it is again, but zoomed out. Why isn't there the same increasing pattern in the baselines? The y-axis gives us a hint.
1-5 I've been thinking about what is going on at the CDC and reached a theory. I think that many people there are trying to do the right thing. However, just like we are seeing with the public related to COVID, I bet there is a similar psychological phenomenon going on.
2- I'm going to posit that it's actually two different social psychology mechanisms working in synergy with each other.
3- The first is the bystander effect. It's the idea that others will help with a problem if there really was a problem. It's kind of a groupthink induced inertia. I've seen this in action when I saw a pedestrian launched off a car that ran a light.
1-7 Today was the first day I stayed in a hotel since the start of the pandemic. I thought some people might like to know my respiratory protection strategy.
2-
First, I picked a hotel that had individual HVAC connected to the outside.
3- When I arrived, I immediately turned that fan on but kept my respirator on. I then did a qualitative assessment of airflow the same way I do in hospitals to verify that positive and negative pressure rooms work correctly.
2-4 Here's the data for the US. 2022-2024 is still provisional data. Note the big drop in cases in 2020 (green) which is definitely attributable to respiratory protection and social distancing. A lower number also contributed to keeping cases low in subsequent years.
3-4 Pay particular attention to 2024 (red). We have almost as many cases as last year already, and summer and fall are when we tend to see the most cases.