AZ California Deaths FL New York Predictions Texas update

Leading Causes of Death

There’s no doubt that COVID19 will be a top 10 leading cause of death in 2020. This is quite impressive given that the other diseases on this list typically take YEARS to manifest and are NOT contagious.

The interesting question is… what will COVID19’s exact rank be at the end of the year? It’s been a while since I updated this chart. This graph always stirs up discussion, so I added some more sophisticated analyses to address concerns. Let’s see if I can explain it…

I estimated three COVID19 ranks for the US and 8 other states. I used COVID19 deaths (up to last night) and compared to 2019 causes of death.

Low estimate (green): This estimates COVID19’s rank if the pandemic ended yesterday (i.e. everyone with COVID19 was cured overnight). Unfortunately, we know this isn’t true, but this is the absolute MINIMUM rank COVID19 will be.  

Medium estimate (orange): This estimates COVID19’s rank if we continue on our death trajectory.

High estimate (red): This estimates COVID19’s rank if we continue on our trajectory AND we count ALL excess deaths as COVID19 deaths. I understand that, in reality, all excess deaths are not likely COVID19, but this is the HIGHEST rank COVID19 could be.

So, in the United States, COVID19 will lie between the 3rd (high estimate) and 6th (low estimate) leading cause of death in 2020. In reality, it will be somewhere in the middle. In March, we (epidemiologists) estimated it would be 3rd leading cause of death in 2020. Looks like that’s going to be about right.

In Texas, COVID19 will lie between the 3rd (high estimate), 5th (medium), and 9th (low estimate) leading cause of death. Again, it will likely fall somewhere in between by the end of the year.

For CA, FL, AZ, NY, LA, WA, and IL rankings, see the following graphs. This is all I could get done before my eyes started shutting last night.

Lately, the flu debate has come to surface again. In EVERY state, COVID19 lowest possible rank is still higher than flu. So, I’m not really sure why we are still having this conversation…

Love, your local epidemiologist

Note: Yes, the 2019 numbers will also change this year. But this is the best we got, as CDC only reports these in aggregate form at the end of the year. It will actually be interesting, though, how other ranks change. For example, we know car crashes (unintentional injuries) have decreased while suicide has increased.

Data Sources: 2019 data is from the National Center for Health Statistics at the CDC. COVID19 deaths is from Johns Hopkins (US). Excess deaths is from the Weinburg lab. Graphs/analyses by yours truly.

AZ California FL Innovative Solutions Long-term effects New York Social Distancing

Cell Phone Tracking

Using cell phones to track movement.

Tracking the way in which humans moved before and during the pandemic has been a very innovative way in which epidemiologists have been able to describe (and predict) COVID19 spread. Specifically, many scientists are using cell phone data to track movement.

Yesterday, the Lancet (a highly reputable scientific journal) published a study in which they wanted to answer… HOW strong IS the relationship (i.e. correlation) between movement and COVID19 spread. Spoiler: VERY strong.

We can see this visually too. For example, as of today, there are 14 hot spot states. These states have very similar patterns in movement to non-essential businesses (Figures). The blue line indicates change in movement to non-essential buisnesses. For example…

In Texas, at the peak of the stay-at-home orders (April 8), there was a 70% reduction in movement to non-essential places. In other words, people moved 70% less to non-essential buissness than before the pandemic. Which was great; it worked to curve spread. However, since then, people have been moving more and more to non-essential businesses. In mid-June, Texans only moved 15% less than before the pandemic. This means they were almost back to “normal”. This was followed by exponential increase in COVID19 cases.

We see the same with AZ, FL, and CA (although CA is not as dramatic).

This is CA… forgot the label

As a comparison, I also included NY. Movement to non-essential businesses stayed constant for almost 2 months, then once cases were down, SLOWLY started to increase. The highest NY has gone is 55% reduction in movement. They haven’t even gotten close to the 15% reduction like we see in Texas.

Translation: Your movement to non-essential places MATTERS! We can all reduce our movement to keep this pandemic under control.

Love, your local epidemiologist

Lancet study:…/PIIS1473-3099(20)3055…/fulltext…

Mobility data and graphs: From UnaCast. A really fun site to play around with:…/social-distancing-scoreboard…

California DC New York Predictions

COVID19 projections

Things are looking grim in Texas folks.

Here are COVID19 projections for each major county in Texas. The projections take into account social distancing, population density, testing capacity, and combined temperature and humidity lagged over the prior 14 days. Each county’s effects are standardized by population demographics.

Location is labeled at the bottom of each figure. Also, pay attention to the Y-axis, this is different for each map.

Translation: The ONLY way to change these projections is changing behavior. Or we all move out of state. We can’t change temperature and humidity.

I also included projections for other cities in the United States. Texas’ projections are NOT the way it HAS to be.

Love, your local epidemiologist

Data source: CHOP Policy Lab