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Re-infection Rate - R - Number

Mr Ripple

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Jun 2, 2017
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I've been trying to get my head round the government's idea on this in respect of the R number needing to be below 1 to be able to move to the next step of releasing the lockdown.

The government are saying and have confirmed again today in their slide presentation that the R number is estimated to be between 0.7 and 1

An estimation means they don't actually know for sure and they can't seem to be able to narrow it down anything better than "an estimation".
Seeing as their estimation varies by as much as 0.3 then technically it could actually be as low as 0.4 and as high as 1.3

So this actually means it could be as high as 1.3 so why are they declaring a move to the next step in releasing the lockdown measures when the criteria of the R number havi g to be below 1 as they set out can't have been met for sure?
 
I dont get this R number
all it takes is a few dozen superspreaders and the shit hits the fan.
 
The R number just seems to be the next bullshit piece of terminology they are using to distract and misdirect. They will do what they want regardless. They haven’t paid any attention to actual science so far, so they won’t start now
 
I think the variation is due to regional differences. Where I live, for example, the no is probably at the 0.7 end of the spectrum, whereas in South Wales, where more cases and deaths have been recorded, it’ll be at 1.
 
The R number can never be calculated precisely unless you are testing the whole population daily.
I assume the authorities estimate it using what is known about positive tests, hospital admissions,deaths etc

If the above indicators are going down then the R number is less than 1 and if they are going up then it is more than 1. Obviously most of these indicators reflect the R number either some days ago or weeks ago.

If the R number stays below 1 then you get fewer and fewer cases till the virus just dies out. This is not going to happen. Even when infection rates are on a downward trend you are going to get daily fluctuations up or down in infection rates. Every upswing is the R number going above 1 and every downswing is it going below 1. I have never seen an explanation of whether the R number used by government is for today or the last week or last month. On a daily basis it must be fluctuating both sides of 1 though on a weekly basis it has been below 1 for a while.

All the main indicators have been trending downwards for getting on for a couple of months now, so generally the R number has been below 1 but for the above reasons it has probably been fluctuating and there must have been days it was above 1.

The R number is a theoretical tool used by statisticians and epidemiologists. it is used by politicians to make policy sound scientific and give an impression of control. in reality policy will be influenced by what the NHS can handle, rather than any theoretical calculations of R . it would be more honest of the government to just tell us in terms of what level of infection and hospitalisation and death was acceptable, before more restrictions are imposed. However honesty does not tend to be politicians default position and a lot of the voters do not really want the truth, they would rather be reassured.

Forget the R number It will go up and down and is just an easily manipulated number that in the months to come is likely to be a wavy line on a graph going below and above 1.

Restrictions are relaxing here and other European countries. That will cause infection spikes. Where are they? Why are they? What are we going to do about them? That is where we are now, whether we like it or not.
 
My understanding (purely from reading a book, I admit) is that the R number translates to "on average, how many other people will 1 person's infection spread to"?

So if R is 1, the total number of infections in a population will remain the same over time. If >1 they will increase. If <1 they will decrease.

I read that it is calculated like this:

R = (D * O * T * S)
  • Duration of infection (corona lasts quite a long time)
  • Opportunities for transmission
  • Transmission liklihood (how infectious is it?)
  • Succeptibility (there is little immunity to corona in the population at this point)
Until we have a vaccine in place, O is the only variable we can control. Hence the importance of social distancing.

As @oldhippydude says, measuring R accurately is a problem. And it will vary as the lockdown restrictions are eased.
 
The coronavirus infection rate is still too high. There will be a second wave https://a.msn.com/r/2/BB14GViJ?m=en-gb&referrerID=InAppShare

The coronavirus infection rate is still too high. There will be a second wave.

We all now know the basics – the R is the average number of people someone infected with Covid-19 passes the virus on to. If it is greater than 1.0 the epidemic will grow exponentially. If it is less than 1.0 it will eventually disappear.

There are several types of R: the R0 that applies to a naive population with no immunity or interventions; and the “effective R” or Re (also called Rt) that the politicians are talking about, and that measures how we are doing in controlling the virus.

We calculate the R in several ways. What it was two to four weeks ago can be back-calculated by the changes in Covid-19 hospitalisations or deaths. The Office for National Statistics (ONS) is now doing national swab surveys to estimate the proportion of people who carry the virus and how that changes over time; but these take a week or two to process and report. Thus, we cannot be very confident about the precise value of the R day to day, and can be even less confident about regional variations that are inevitably based on less data than the national numbers.

The government’s science committee, Sage, estimates that the R value for the UK was between 0.7 and 1.0 on 22 May. This is an average value across the nation, and there is substantial regional variation – Re may be twice as high in the north-east than in London, the original centre of the UK’s epidemic. The R value varies across individuals, with so-called “super-spreading” events being associated with a high proportion of the infections, and many people, perhaps most, not passing the infection on to anyone. Infectious disease modelling and virus sequencing data suggest that, early in the epidemic, 10% or less of virus carriers led to about 80% of infections.

The amount of virus each individual carries may be partially responsible for this, but his or her opportunities to contact others – at parties, in the workplace, in restaurants or religious services – is important too. Thus, one man may have infected more than 90 clubgoers in South Korea, and one member of a choir in Washington State may have infected 52 out of 61 fellow chorists at a single rehearsal.

Early estimates of R0, the original infection rate, for Covid-19 were in the range of 2.0 to 3.0, but more recent estimates have come in at 4.0 or more. This is substantially higher than the usual estimate for influenza of about 1.4 to 2.0. The infection rate dropped incrementally with the series of recommendations that started on 12 March, but did not drop precipitously until the full lockdown was announced 11 days later. The epidemic grew much faster prior to the lockdown than it has diminished afterwards. To decline at the same rate, the R number would now have to be about 0.25 – and no one thinks it has declined to that level. As Harvard epidemiology professor Bill Hanage has put it: “A fire burns fast at first but the embers take a long time to die down.”

So where does this leave us over the next few months? With Re so close to 1.0 there are basically two options. First, we could try to accelerate the decline in the number of infected people – bringing Re down further – so that efficient test, trace and isolate measures combined with the quarantine of new arrivals might give us a chance of suppressing the virus to the point of virtual elimination, as has been done in South Korea, Taiwan, Australia, New Zealand and perhaps China.

It became clear from the prime minister’s announcement on 10 May on easing the lockdown that the government has chosen instead to open up the economy when there are still large numbers of infected people who do not know they carry the virus – guaranteeing ongoing infections and the inability to suppress the virus. As a consequence, the Covid-19 death rate will stabilise but may not drop much lower, and the threat to older people and those in care homes will remain serious.

Even to achieve stabilisation in the context of the “back to work and school” decisions already announced, three key control elements must be put in place. Indoor gatherings of any sort must remain limited in size to prevent super-spreading events, and those who encounter many people each day, such as shop workers, care workers and bus drivers, should be given protective equipment and be tested regularly. On trains and buses, there are obvious implications for how many people can be commuting. And the use of face coverings should be the new normal – including at government press briefings.

The contact-tracking system must be up and running efficiently. Though a test and trace system is being introduced today, scientists have already warned that it will prevent less than 15% of infections, given the large numbers still infected.

And travel from one part of the country to another should be minimised, so infected travellers do not spark new epidemics in lower-risk regions. There are ominous signs that the mixed messages from the government have already led to more gatherings and crowded trains, and, in backing No 10 adviser Dominic Cummings, it has given the green light to long-distance travel.

Stabilising the epidemic only buys time to find an effective treatment or vaccine. Perhaps the warmer temperatures will help, if we responsibly socially distance outdoors while the epidemic rumbles on. But when the colder weather pushes us indoors, without a vaccine, and unless contact tracing is stepped up, there will be a second wave: the epidemic will resurge. Not because it had to, but because we did not push the virus closer to extinction, we did not plan properly for the rebound, and thus gave the virus a second lease of life. And all of this will guarantee more Covid-19 deaths in the UK.

• David Hunter is the Richard Doll professor of epidemiology and medicine in the Nuffield Department of Population Health, University of Oxford.
 
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