Starting a new thread on analysis of lockdown in various states. First, let us examine UP. The plot for UP and SUTRA projections for it from 1st March are below.
UP went through two phase changes in this period. First started on 15th March with 10 days of drift. In this phase, the contact rate went up to 0.53 (95% CI: +- 0.03) from 0.4. And reach roughly doubled. This double whammy caused sharp rise in infections as is evident.
Next phase change started on 21st April with 12 days of drift. In this phase, contact rate went down to 0.28 (95% CI: +- 0.01) and reach further increased by more than 50%.
The increase in reach corresponds to expansion of pandemic in rural areas. The decrease in contact rate is due to lockdown, with people also becoming more careful. The reduction in contact rate more than made up for increase in reach and so cases started reducing although slowly.
What if the lockdown was not there? We plot two alternative scenarios. Red curve is for contact rate not changing at all, and green for contact rate reducing to 0.4. Peak value is approx 70K in former and 50K in latter.
So lockdown came at the right time! BTW, the lockdown in UP is not very strict: many activities are permitted, including people moving from one place to another as long as crowding does not happen. It appears to be a very successful strategy.
Continuation of lockdown beyond 23rd may not be beneficial unless there is possibility of pandemic to significantly expand its reach. We cannot predict how much more can reach increase in absence of calibration by a sero-survey. Those with ground-level knowledge should decide.
Second state to be analyzed is Delhi. The actual plot and SUTRA projection is below.
Delhi also had two phase changes since March. First started on 27th March with 9 days of drift. The contact rate went down from 0.59 to 0.47 (95% CI: +- 0.01). Reach almost doubled. High contact rate along with big rise in reach resulted in sharp rise in infections.
Next phase started on 22nd April with drift period of 3 days. Contact rate came further down to 0.34 (95% CI: +- 0.01). Reach hardly changed. This reduction, due to lockdown, held back rise of infections.
The red curve shows the trajectory with contact rate 0.47. Those following my tweets on states would recall that I was showing red curve as trajectory and wondering why is actual curve bending much earlier.
The red curve peaks at around 37K. So lockdown achieved significant reduction in cases, though not as dramatic as UP.
Going forward, it appears that reach may not increase much further, and so continuing lockdown may not be very useful. Green curve shows trajectory if contact rate increases to 0.47 from 24th May.

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Manindra Agrawal

Manindra Agrawal Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @agrawalmanindra

6 May
<Update on 6/5> @stellensatz I am finding it increasingly difficult to post updates. Hence, getting a website prepared that will do the job. Hope it will be ready by tomorrow. That will allow me to focus more on discussions.
Many posters have pointed out erroneous predictions done for second wave in early April. I already explained the reasons in India thread. If they do not sound convincing, please pay no attention to our predictions. I am sure there are better things to do!😊
For those, who find some value in our predictions, here are updates. Maharashtra continues its downward journey. Notice that orange curve is fitting better now! It is because I updated the simulation with data up to 5th May. Earlier one was with data up to 24th April.
Read 22 tweets
1 May
@thattai I am glad to see decent language now unlike your earlier posts. I hope you can make this a habit. Your argument, as I understand it, is not that the model went wrong in March, rather that policy makers were misled by it. If yes, your argument is based on flawed premise.
Policy makers do not make decisions based on one input. They collect them from multiple sources. While we did give our feedback to them last month, and it was received graciously, they were skeptical about our predictions. Seemingly they had better inputs. 😊
As for our model, it adopts a very different approach to parameter estimation. An approach that is becoming ubiquitous: use data. If one argues that it needs to be improved, I will readily agree. However, to retire? That is truly bizarre!
Read 6 tweets
23 Apr
I have been asked by many people about details of the SUTRA model. We have a preprint uploaded at arxiv.org/abs/2101.09158. It describes how we compute parameter values and phase changes.
India projections can be found in this thread:
Read 4 tweets
18 Apr
@stellensatz @Ashutos61 @Sandeep_1966 @shekhar_mande Starting a new thread for India. I updated India curve last on 14th with suggested peak at ~190K. Past few days have breached this value massively. This led to a discussion amongst us (me, Prof Sagar, and Gen Kanitkar).
The problem is that parameters of our model for current phase are continuously drifting, and so it is hard to get their value right. We decided to switch to predicting "active" instead of "new" infections. Former is about 10x of latter and hence less prone to fluctuations.
Indeed, it turned out that the trajectories are better matched. See plot below for the entire timeline. Image
Read 29 tweets
8 Apr
@stellensatz @Sandeep_1966 @Ashutos61 @shekhar_mande Starting a separate thread on district level predictions. The predicted trajectories do not match as well as for states because of smaller population.
Let us start with Pune -- it was earlier posted on thread on states. It remains on track to peak during April 12-15 at around 11.5K infections/day. Image
Next Mumbai where infections are increasing quite fast. The rise will continue for another couple of weeks and likely to peak during Apr 21-25 at around 13K infections/day. Image
Read 159 tweets
25 Mar
@stellensatz @Ashutos61 @Sandeep_1966 @shekhar_mande This pandemic has a way of embarrassing those making predictions😀. We are indeed in the midst of second wave now. Of course, this wave is being driven primarily by Maharashtra. 1/n
We had to wait for a couple of weeks for the new trajectory to stabilize. Here is what we found: the spike observed in many states is primarily due to a significant increase in contact rate (parameter beta). This parameter determines how fast the pandemic is spreading. 2/n
Consider India. Contact rate has doubled in March (0.24 to 0.48). This results in plot below. The peak is expected to arrive in mid-April at between 70-80K new infections per day. 3/n Image
Read 143 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!

Follow Us on Twitter!

:(