A lot of people could get infected before anybody realises there is an epidemic.
A lot of people could get infected before anybody realises there is an epidemic.
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.
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.
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.
To see a reversal in this trend is extremely note-worthy, and somewhat worrying.
Trends don't imply constant variability on each and every single observation...
Unlike a normal virus where people exchange it at random, here people that are more likely to get the virus also seek out other people that are more likely to get the virus. Normal r-value calculations do not apply because you no longer have homogenous population.
You do not need a lot of these people to keep the virus alive. A person that practices unsafe sex once is more likely to do it more than once, with other people who will do the same. In effect forming a network within general population.
While people who practice safe sex might become collateral damage (like spouses of people who practice unsafe sex or patients at a clinic that used untested blood) they are very unlikely to transmit it further (safe sex practices are very effective at preventing spread of HIV).
Also no need to bring politics to it. Viruses do not care about politics.
This is correct. Over two thirds of HIV cases around 2009 were transferred genitally; over 80% if one includes the intestinal tract (rectal) [1].
> Viruses do not care about politics
But people do, and their behaviour influences how viruses like HIV spread.
[1] http://perspectivesinmedicine.cshlp.org/content/2/11/a006965...
False. HIV is as deadly as ever.
> Fatality rates for HIV are almost at point where there’s no longer any reduction in life expectancy, due to mix of better medicine
True. It is due to improved treatments, which are a mix of medicines (where the mix is designed to inhibit the development of resistance to the full cocktail)
The reality is that almost every person diagnosed with HIV is diagnosed because:
1) They developed full blown AIDS
2) They got contacted by somebody who just discovered they have HIV/AIDS to get checked
3) They went through some routine unrelated test (for example they wanted to give blood)
I don't want to throw completely baseless statistics, but I would guess over 95% of the world either a) does not have access to that kind of thing, or b) has other priorities, financially, or c) does not care about this because they are either not informed or they know this exists but is not important enough for them to actually do it.
And if you are from US remember, western countries where these things are easily available and people can generally afford it are only small percentage of the world's population.
And if people are not doing it enough in western nations where we do have access, then my posting this serves to increase awareness in this small hn community.