Skip to main content

Commit to Long Term Testing

Expanding testing is very important now.  It's also clearly an area we were unprepared.  We should commit to having testing capacity long term, to both provide more certainty to anyone expanding testing capacity today, and to be prepared in the future.

I had some thoughts about how this testing would be best structured.  It's not possible to test for an contagious disease you're not aware of, but much of the infrastructure for doing so can already be in place, ready to be adapted.  That infrastructure would roughly boil down to

a) sample collection
b) sample handling
c) sample preparation
d) sample analysis
e) materials: reagents, etc.

Scaling these up from scratch is quite a bit more work than adapting to a new contagion.  A commitment to having that infrastructure would have helped a lot with the current crisis.

Right now, the focus is rightfully on health care workers, suspected cases and essential workers.  In terms of preparation though, in the early stages of an outbreak, the focal point of testing should start with International travel.  As such, that's a good place to plan for future infrastructure to focus on.

Right now, the focus is on detecting COVID-19.  During non-crisis times (which hopefully will turn out to be most of the time, as it has been in the past), testing capacity would be better off testing for a a number of known contagion's.  I'm thinking of influenza itself as one of such case.

The overall impact here is that in addition to being prepared, we would also help reduce some other risks.  Influenza deaths in the US are estimated as 12,000-60,000 per year on average.  If testing at airports delayed the spread of new strains, or left some places unaffected, year over year, those would be significant improvements in well being.

The way I imagine this working is, you'd have sufficient capacity at airports to test all passengers for two contagion.  During normal times, you'd select 10% of the passengers and test them each for 10 known contagions. 

When a case among a departing passenger was found, you'd switch to testing all departing passengers for that.  For those that test positive, you could tell them not to travel or take other precautions.  How you would treat those found with positive tests would depend on a lot of factors, so I won't conjecture too greatly there.

When an arriving case was found, you'd start testing 100% of the passengers from that same departing location..  The departing location would hopefully be able to respond by testing all of their outgoing passengers.  In addition, you'd want to test any returning travelers, as well as contacting and testing arrivals from that destination for the two week (or whatever period is appropriate for the identified contagion).

If this was a capability we had before this year, it's not outlandish to think we would have outbreaks in fewer places, that those would be smaller, and that the response would have been better directed and better prepared.  The stable state value of the system would defend it against dismantlement, which is the fate of many preparedness stockpiles.

This screening network would have some value in normal times of reducing common contagions, but it's primary purpose would be to be ready to adapt to anything more serious.  You'd have some idea of it's effectiveness by how well it reduced the spread of common contagions, like influenza?  Could we wipe out Infuelenza in this way?  Probably not, but it might save many lives despite this.

These thoughts are guided by two disciplines, economics and disaster planning for software infrastructure.  The economics side tells me that if you want capital investment, you shouldn't make short term plans, you should think about long term incentives.  It's a common mistake to think only about operating costs, i.e. how much does it cost to run a testing machine?  But the cost of the machine is a big cost.  Bigger than that is the cost of training for sample collection and preparation.

On the other side, my experiences with disaster planning for software infrastructure is that the most successful are actively used.  Infrastructure that is held in reserve has a tendency to be less functional than advertised.  Unless the costs of using it are very high, actively utilizing infrastructure validates that it's operational.  Sure, you could run synthetic tests, but these are easy to overlook, whereas operational use is not so easy.  You can (and should) still have excess capacity, but you do it by cycling it in an out of active use, by running it less than fully utilized, or by having lower priority work that can be terminated.

I offer the example of testing at airports, because they would provide the best early signal.  Cities are connected to more total places by air travel than any other method.  In 2019, the US had 925.5 million air passengers.  Obviously going to be fewer this year, but lets assume it's in the same ballpark next year.  That would be about 2.5 million passengers per day.  If you take a sample from 10%, and test for 20 different contagions per sample, that's about 5 million tests per day, about what is currently recommended as a goal.

Depending on costs, how much capacity  and how effective this system looks to be, there are other places you might look next, and if so, maybe you spread that capacity around more, taking a sample from 5% of air travelers normally.

I'm sure there are many ways this basic concept could be tweaked and improved upon, but the basic concept seems fairly sound.  Objections might privacy concerns over being tested, or the cost... but honestly the cost-benefit ratio both in dollars spend and privacy is far better than that of our existing airport security.


Comments

Popular posts from this blog

How to create a resilient Oil & Gas industry

Use Less As part of the current crisis, oil usage is down, and storage around the world is filling up, to the point that oil has traded at negative prices.  As a reaction, many Republican lawmakers want to bailout the oil industry, by providing free access to storage or no-collateral loans.  While it would make sense to ensure oil doesn't get dumped in the ocean, the right way to do that is by producing less oil. These proposals from the Republicans undermine the motivation for the industry to do so.  Workers are important, but they have the same access to unemployment as the other 25 million Americans who are out of work. What this crisis should illustrate is something that has been illustrated many times before, the oil industry is a fragile thing.  In the past this fragility has been demonstrated by massive spikes in prices and fears of shortage, in this case it's the inverse.  Why the fragility?  The simplest explanation is, we use too much.   In a world where oi

Finding your way: Public Transit and Uber

Uber has been disruptive in many ways.  One way, which has been a great disappointment, is the effect on public transit systems.  It was once hoped that ride hailing would provide an assist to public transit, as a gateway to abandoning car ownership.  There have also been hopes that suburban commuters would use ride-hailing as their connection to public-transit which is not accessible by walking in these areas.   Multiple studies have confirmed these hopes have largely not materialized, and public-transit has been weakened . Cities have reacted, mostly by putting barriers to ride-hailing growth.  Sometimes they are collecting extra fees, sometimes placing new requirements.  But mostly these efforts don't do much to change the relationship between ride-hailing and public-transit. I work with a local group that spends time thinking about automated car policy, how to get the most good and the least bad.  We've discussed a proposal that fits ride-hailing, in the here and now,