3 ms·
A new strain, due to nature of exponential growth, can spend a long time before it noticeably moves the total number of cases and causes people to notice change
by lmilcin 5y ago
A new strain, due to nature of exponential growth, can spend a long time before it noticeably moves the total number of cases and causes people to notice change.
Think about it this way:
Year 1) 10.000 normal cases + 1 new = total 10.001
Year 2) 10.000 normal cases + 10 new = total 10.010
Year 3) 10.000 normal cases + 100 new = total 10.100
Year 4) 10.000 normal cases + 1.000 new = total 11.000
Year 5) 10.000 normal cases + 10.000 new = total 20.000
Year 6) 10.000 normal cases + 100.000 new = total 110.000
You see how for a long time, if you were looking at a total number of cases, nothing was happening and then it suddenly became absolute, unmitigated disaster?
This is one of the unfortunate characteristics of exponential growth. If there is a new exponential growth that is masked by noise -- it could be very invisible for a long time and then suddenly become a huge problem.
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Edit: here another example with more realistic reproduction rate (2x annually and delay of 5 years before developing symptoms)
Year 1) 10.000 existing steady state + 100 new = 10.000 with symptoms
Year 2) 10.000 existing steady state + 200 new = 10.000 with symptoms
Year 3) 10.000 existing steady state + 400 new = 10.000 with symptoms
Year 4) 10.000 existing steady state + 800 new = 10.000 with symptoms
Year 5) 10.000 existing steady state + 1.600 new = 10.000 with symptoms
Year 6) 10.000 existing steady state + 3.200 new = 10.100 with symptoms
Year 7) 10.000 existing steady state + 6.400 new = 10.200 with symptoms
Year 8) 10.000 existing steady state + 13.000 new = 10.400 with symptoms
Year 9) 10.000 existing steady state + 26.000 new = 10.800 with symptoms
Year 10) 10.000 existing steady state + 51.000 new = 11.600 with symptoms
Year 11) 10.000 existing steady state + 102.000 new = 13.200 with symptoms
Year 12) 10.000 existing steady state + 204.000 new = 16.400 with symptoms
You see, adding a delay to symptoms of exponential growth makes it even more heinous.
Year 11 when a somebody that watches statistics of symptomatic patients might notice a rise is already when you have over 10x more new cases than the steady state you think that is happening.
We could complicate this example (some cases get symptoms earlier than 5 years, etc.) but the basic reality is still the same -- when there is a noise and the signal is delayed, the moment you notice a rise in total number of cases and you suspect it being caused by an exponential growth, you should be worried that the reality is much, much, much worse.
- Retric 5y agoBy that same token you can’t get 10x growth per year and hide for decades. Even doubling every year would be 1M million cases in 20 years.
- lmilcin 5y agoHope you realise that mine was completely made up example just to show the basic characteristic of exponential growth in presence of static component. I chose 10x growth factor to make sure the reader gets a point you can have absolutely disastrous epidemic brewing and still be invisible for many years. With smaller reproduction rate and other confounding factors detecting a new epidemic like that could be even more difficult if you only look at total number of cases.
- Retric 5y agoSure, the point still stands. If it doubles say every 18 months numbers get really obvious before the number of cases dwarfs exiting new cases let alone existing cases. Something like 3-6 years warning before the number of new cases double. T minus 6 years it’s a 6.5% bump, T - 3 years it’s a 25% bump, T-18 months it’s a 50% bump. For a disease like HIV where existing cases dwarf new cases you get a lot of time to prepare before the number of existing cases significantly increase.