# [email protected] for COVID-19

I setup [email protected] and started contributing computing resources to Covid-19 project.

For Covid-19, the [email protected] project is trying to find out the structure of covid-19 virus as it comes in contact with human bodies through ACE2 receptor, and how an understanding of this can help build therapeutic antibiotics or molecules that might disrupt the viral interaction.

[email protected] hit a milestone Exaflop computing speed, which is a billion billion floating point operations per second.

Let's not leave any stone unturned.

# Bill Gates Follow up Q/A on Covid-19

Bill Gates followed up with a Live Question and Answer session with TED's Chris Anderson.

• Testing is the still "key part". We need a way to find to detect who has-virus and who does not. This is done using swabs. All of us, will have to be tested before we resume social interaction.
• He is still very much concerned about developing countries, like India, Pakistan, and countries in the southern hemisphere, as he perceives, will have more difficulty than developed countries like the US to get this through.
• Economic Impact can be reversed, but if a life is lost, it cannot be brought back.
• The idea of building herd-immunity against this virus, in reality, doesn't look like a choice. The numbers don't add up.

Please watch the entire video conversation here:

https://www.facebook.com/TED/videos/1071228706574778/

# On Mentors - Katherine Johnson and William Schieffelin Claytor

I came to know today that Katherine Johnson had a excellent teacher, guide and a mentor in William Schieffelin Claytor

# Bill Gates Q/A about COVID-19

Bill Gates did a Ask Me Anything on Covid-19 on Reddit. The entire AMA is educational, read it in reddit or in Gates Notes AMA

The following question and answers caught my attention in particular.

Bill Gates AMA on Covid-19 - Some question and answers.

Q: What about the current crisis worries you the most? What gives you the most hope?

Bill: The current phase has a lot of the cases in rich countries. With the right actions including the testing and social distancing (which I call “shut down”) within 2-3 months the rich countries should have avoided high levels of infection. I worry about all the economic damage but even worse will be how this will affect the developing countries who cannot do the social distancing the same way as rich countries and whose hospital capacity is much lower.

Q: I read the Imperial College COVID-19 Response Team report as well as this explanation in a historical context. Essentially, it says that by doing nothing, 4 million Americans die. Through the mitigation strategy—i.e. social distancing and “flattening the curve”— it says that 1.1-2 million Americans will die. However, it also says that the suppression strategy, or “shutting everything down for 18 months”—will lead to only a few thousand people dying.

Do you agree with these numbers, and if so, is there any excuse for not immediately issuing a shelter in place order for the entire country?

Bill: Fortunately it appears the parameters used in that model were too negative. The experience in China is the most critical data we have. They did their “shut down” and were able to reduce the number of cases. They are testing widely so they see rebounds immediately and so far there have not been a lot. They avoided widespread infection. The Imperial model does not match this experience. Models are only as good as the assumptions put into them. People are working on models that match what we are seeing more closely and they will become a key tool. A group called Institute for Disease Modeling that I fund is one of the groups working with others on this.

Q: How is the economy likely to recover after all of this in your opinion?

Bill: Yes eventually. The economic impact of the “shut down” will be large but if it is done well (including the testing piece which I keep mentioning) eventually we can open back up.

Q: How is your foundation helping the current pandemic? Are you donating money, producing products for health workers?

Bill: Our foundation is working with all the groups who make diagnostics, therapeutics and vaccines to make sure the right efforts are prioritized. We want to make sure all countries get access to these tools. We donated \$100M in February for a variety of things and we will be doing more. One priority is to make sure that there is enough manufacturing capacity for therapeutics and vaccines. We have other efforts like our education group working to make sure the online resources for students are as helpful as they can be.

Q: Is there anything you can do to assist with ventilator production?

Bill: There are a lot of efforts to do this. If we do social distancing (“shut down”) properly then the surge of cases won’t be as overwhelming. Our foundation’s expertise is in diagnostics, therapeutics and vaccines so we are not involved in the ventilator efforts but it could make a contribution to have more especially as the disease gets into developing countries including Africa.

Q: What do you see as the long-term strategy for fighting this pandemic and do you feel like it will adequately prepare us for the next?

Bill: I think that after this is under control that Governments and others will invest heavily in being ready for the next one. This will take global cooperation particularly to help the developing countries who will be hurt the most. A good example is the need to test therapeutics wherever the disease is to help the whole world. The Virus doesn't respect national boundaries.

# The Discovery of Radium by Madame M. Curie

This is a short text available for reading in project gutenberg, titled "The Discovery of Radium by Marie Curie"

Some interesting quotes from this book

pursuit of truth

Then I took up measurements of minerals and I found that several of those which contain uranium or thorium or both were active. But then the activity was not what I could expect, it was greater than for uranium or thorium compounds like the oxides which are almost entirely composed of these elements. Then I thought that there should be in the minerals some unknown element having a much greater radioactivity than uranium or thorium. And I wanted to find and to separate that element, and I settled to that work with Professor Curie. We thought it would be done in several weeks or months, but it was not so. It took many years of hard work to finish that task. There was not one new element, there were several of them. But the most important is radium which could be separated in a pure state.

work of science

But we must not forget that when radium was discovered no one knew that it would prove useful in hospitals. The work was one of pure science. And this is a proof that scientific 5 work must not be considered from the point of view of the direct usefulness of it. It must be done for itself, for the beauty of science, and then there is always the chance that a scientific discovery may become like the radium a benefit for humanity.

# Covid-19 Exponential Growth Lecture of 3Blue1Brown

3Blue1Brown did an excellent video explaining exponential growth. He took the opportunity to explain Covid-19, growth, trajectory and more importantly pressing question on when this growth will stop using mathematical equations. I was highly impressed. It helped to make sense of the situation, and help with dealing with the situation.

Please watch this video

The video deals with the questions explained in the slide.

Exponential growth means as you go from one day to the next, it involves multiplying by a constant.

In terms of an Equation the exponential growth is represented mathematically like this.

3Blue1Brown says that this data fits in a linear regression model.

Linear regression calculates an equation that minimizes the distance between the fitted line and all of the data points. And if want to find the equation that minimizes the distance between a line and the data point, the most common way is to find "least square regression" .

We will notice that the least square regression ends up with an equation of line $y = m \dot x + b$ Where m is same as the multiplying factor the exponential growth.

So he uses the data point to track the growth for linear regression.

And finds out $R^2$ which is a coefficient of determination, a statistical measure of how close the data are to the fitted regression line. We notice that $R^2$ is close to 1.0 which is a straight line, increasing by a factor, $m$ each day.

He is making a point with logistic regression that, when a country has 100 times lower cases than another country, the country is not 100 times better, but just 30 days behind!

And following the numbers, if we extrapolate, we will hit a 1 billion cases in 81 days. But that's hardly desirable, and everyone wants to know when we do stop growing linearly and hit a plateau. He notes that "Linear Growth" is a theoretical phenomenon, not a realistic one. Just like, if you were not married last year, and you got married this yea, it does not mean, will you marry every year from now. (Explain XKCD)

But unlike marriage, we are seeing an exponential growth here. We will have to find out the factors that reduce the exponential growth.

So, in reality what we are expecting is a logistic curve where the exponential growth includes damping factor contributed by people who are not infected.

Our whole idea, then becomes to increase this damping factor, that is not get infected by this virus.

What makes the growth factor go down other than maxing out at the total population?

• Decrease the number of people getting exposed - aka social distancing
• Decrease the probability of exposure - aka wash your hands completely, maintain hygiene amongst other things.

And important point to remember in this damping factor is, the output decreases exponentially too

For instance with the growth factor of 1.15, we have the first number and reduces significantly, only by 10% decrease in the damping factor.

3Blue1Brown has tried to quantify our worry factor, and give us hope that by social distancing, good hygiene we can reduce the damping factor and control the growth. However, "If we are not worried, that's only thing to worry about".

Related Articles / Simulations

# Happy Pi Day

## Happy Pi Day

I celebrated the Pi day during Covid-19 times with these activities.

• Learning AWS ML Modelling
• Solving an Easy Brilliant.org quiz but getting it wrong.

# Book Review: Blown to Bits

Blown to Bits: Your Life, Liberty, and Happiness After the Digital Explosion by Hal Abelson
My rating: 5 of 5 stars

Bits are Bit. Even if they are transmitted through electrons in copper wires or light in fiber optical cables or via modulation in radio waves. All of these carry bits and run the world. This book covers the intersection between technology, society, the justice system, policies, and politics. It is highly approachable and helps you appreciate technology, not just from a technical standpoint but from a societal standpoint. I really appreciate the concern for fellow human beings put forefront in this book. It opens the reader's mind to care a lot about the political process and be aware that any technology we design is going to have a wide societal impact.

The entire book is available free online: http://www.bitsbook.com/excerpts/

# Interview with Vladimir Vapnik

This was an unbelievable interview with Vladimir Vapnik. He is the co-inventor of Support Vector Machines, one of widely used statistical machine learning algorithm. In explaining his understanding of the world, he uses the mathematical terms of predicate and functions.

He often went back to Vladimir Propp to 31 functions that explained russian folk tales.

Vladmir Vapnik is a truly a humble, honest, accurate person, trying to understand and then solve a well defined problem of Hand-writing recognition, within his lifetime. I was amazed while listening to him.

# Reading: Exam Success Predictor

In the model of research with 75 students who had cleared the "hard" entrance examinations, the predictor of success was correlated with

• Using Anki for spaced repetition and testing self. Preparing their own cards.
• Psychology. Positive Psychology played as a predictor too.