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All Blog Posts Tagged 'dsc_biotech' (66)

Eight ways in which data science is helping in the fight against COVID19

Given the scale of its impact and the kind of alteration that it brought into our lives, COVID19 is one of the most unprecedented crises of our times. Although it is not the only pandemic that humanity has been through, COVID19 is occurring in the time of the fourth industrial revolution where everyone and everything is one click way, and where the excess of data and computing has allowed machines to be more intelligent than ever. In the age of deep tech and data, data science is definitely…

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Added by Ghida Ibrahim on June 24, 2020 at 6:30am — 1 Comment

Simple Correlational Analysis on Socioeconomic Factors Impacting Covid-19 Outbreak in US Counties

Background

As part of my PhD work, I recently had to analyze any dataset(s) of my interest and present findings.  I ended up conducting a study on US County-wise Covid-19 data.  I wanted to share my key findings through this blog.

Study Question

The primary question I wanted to address through data analysis was “Do counties’ socioeconomic factors such as population size, poverty rate, unemployment rate, education percent and…

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Added by Murali Kashaboina on June 20, 2020 at 3:16pm — 2 Comments

How COVID-19 is Changing our Relationship with Data

How COVID-19 is Changing our Relationship with Data

An increasing proportion of businesses use scientific methods to analyze data. Yet, because key decision-makers do not believe in a data-driven method, a sizable number do not turn their data into actionable information. Instead, these individuals rely on their instincts to drive decisions. If used in lieu of data,such hunch-based mindsets often lead to inefficiencies and wasted…

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Added by Taymour Matin on June 8, 2020 at 10:00am — 2 Comments

Mortality and co-morbidity Investigation in Italy under Covid-19

Mortality and co-morbidity Investigation in Italy under Covid-19

Dispensing connection between characteristic, co-morbidities, and mortality outcomes among 1890 patients with Covid-19 and three cause of death: infectious, respiratory and under investigation diseases which affected mortality rates in Italy between 2010 and 2017.

by Federica…

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Added by Federica Gazzelloni on June 6, 2020 at 1:12am — No Comments

Johns Hopkins Covid-19 Data and R, Part II, data.table functions and graphics, plus R-Naught.

Summary: This blog is part II of a series showcasing management and analytics of the daily U.S. Covid-19 case/death data published by the Center for Systems Science and Engineering at Johns…

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Added by steve miller on June 2, 2020 at 8:33am — No Comments

Visualizing the Performance of COVID Models

by Chris McLean & Peter Bruce

Never before have statistical models received the attention they are getting now in the midst of the Coronavirus pandemic.  It is hard to read a news feed today without encountering either:

  • New predictions…
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Added by Paul Derstine on June 2, 2020 at 7:06am — No Comments

A Fundamental Theorem for Epidemiology

The work of an Italian mathematician in the 1930s may hold the key to epidemic modeling.

That's because models that try to replicate reality in all its detail have proven hard to steer during this crisis, leading to poor predictions despite noble and urgent efforts to recalibrate them. On the other hand overly stylized compartmental models have run headlong into paradoxes such as Sweden's herd immunity.…

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Added by Peter Cotton on May 28, 2020 at 5:30am — No Comments

Damn Pandemic: Epidemiological Models

After being confined for 2 months and hearing the word pandemic almost daily, seeing graphs, opinions, time lines and values that rise and fall, I became curious. Firstly, what is a pandemic? Is it the same as an epidemic? A plague? Was the plague an epidemic? What do epidemiologists study? Yes, they study a discipline called epidemiology.

 

What is epidemiology?

 

Epidemiology studies the distribution, frequency, relationships, predictions, and…

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Added by Luis Hidalgo Encinas on May 19, 2020 at 9:00pm — No Comments

Leveraging Data Science to Create a COVID-19 At-Risk Score

Everyone wants to restart the economy safely.  Everyone.  The question isn’t “if”, it’s “when” and “how” and somehow that’s when politics gets involved.  So, let’s stop pointing fingers at “others” and blaming them for the world’s woes.  Now is the time to work together and create a plan to address the “when” and “how” questions.  And here’s a…

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Added by Bill Schmarzo on May 17, 2020 at 5:43pm — No Comments

Covid19 : Chapter 1 : Need of a Master Algorithm

Unfortunately MDP(Markov decision process) ,which is core part of learning agent of autonomous car  can’t help to develop inference system which can help to predict Covid19 positive patient based on symptoms or X-ray image of the patient. Offcourse we have multiple option’s (i.e. classification using logistic regression or can go for CNN) however both have dependency on the data..ohh.. NOT  DATA …… It’s reliable and lots of data. As both are extension of Bayes…

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Added by Preet Sharma on May 17, 2020 at 9:30am — 1 Comment

COVID-19: Tuesday Blips in a “Downward Trajectory”

by Carl Hoover, Senior Advisor, Elder Research

We observe a peculiar counter-fluctuation in a COVID-19 statistic -- daily percent changes in deaths; it has a downward trend, but Tuesdays tend to see small increases.

COVID-19…

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Added by Paul Derstine on May 11, 2020 at 6:32am — No Comments

Using Google Mobility Data to Model Covid-19 Case Infection Rates

Using Google Mobility Data to Model Covid-19 Case Infection Rates

Paul B. Parker, Ph.D.



Introduction

The question of how and when to open up the economy as Covid-19 rates drop is fraught with great risk on both sides.  How the question is answered is likely the most critical public policy decision in the last few decades.  Unfortunately, most of the arguments made so far have been based more on philosophy than science.  Reliable data has been…

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Added by Paul Parker on May 7, 2020 at 6:03am — 10 Comments

Johns Hopkins Covid-19 Data and R, Part I -- data.table handling.

Summary: This blog showcases the handling of daily data of cases/deaths from Covid-19 in the U.S. published by the …

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Added by steve miller on May 6, 2020 at 8:27am — No Comments

Coronavirus: Age and Health

by Peter Bruce, President & Founder, Statistics.com

Although there are frequent reports in the news media of young people contracting serious cases of COVID-19 and even dying, the disease in its serious form is…

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Added by Paul Derstine on May 4, 2020 at 6:00am — No Comments

COVID-19 Asymptomatic Rates and Implications

by Mike Thurber, Principal Scientist, Elder Research

A key issue for COVID-19 response policies moving forward is the asymptomatic rate - people who have the virus but do not show symptoms.  If all the people who get the virus show symptoms, then despite the wide scope of the current outbreak,…

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Added by Paul Derstine on May 4, 2020 at 5:30am — No Comments

Covid-19: Epidemiological Models vs. Statistical Models

by Peter Bruce, President & Founder, Statistics.com

Nearly everyone is now familiar with the IHME Covid-19 forecasts (also called the “Murray” model after the lead project investigator at the Institute for…

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Added by Paul Derstine on May 4, 2020 at 5:30am — No Comments

Is the Spread of the COVID-19 Coronavirus Being Slowed?

by Mike Thurber, Principal Scientist, Elder Research

The COVID-19 pandemic has created a need for clear and actionable analytics like never before. The world can’t wait for controlled scientific studies to be completed, or dodge with, “We can’t say anything until we get more data.”…

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Added by Paul Derstine on May 4, 2020 at 5:30am — No Comments

COVID-19 Risk Heat Maps with Location Data, Apache Arrow, Markov Chain Modeling, and R Shiny

This is the second of two articles about our recent participation in the Pandemic Response Hackathon. Our project (CoronaRank) was one of only 5 projects out of 230 submissions chosen as Spotlight Winners to present at the closing ceremony. Read on for the technical aspects of our solution, for a more general overview of the hackathon and our product see our first article…

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Added by Filip Stachura on April 29, 2020 at 1:00am — 1 Comment

Would Bayesian approaches improve COVID-19 forecasts?

Data Scientists worldwide are forecasting about COVID

Mostly, they are doing excellent work.

But still, most forecasts vary widely

That’s not to say that they are inaccurate

There are a few inherent reasons for this

Firstly, the lack of domain knowledge in epidemiology and biostatistics. Most data scientists lack…

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Added by ajit jaokar on April 19, 2020 at 3:00pm — 1 Comment

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