COVID 19 Open Research Dataset Challenge and Data Analysis Homework

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Create summary tables that address patient descriptions related to COVID-19.

APA style 15 page document 10 reference.

12-15 slides ppt with bullet points.

Needed a unique document with 0 plagiarism.

my topic is above but below will be the complete question for your references.

COVID-19 Open Research Dataset Challenge (CORD-19)

An AI challenge with AI2, CZI, MSR, Georgetown, NIH & The White House

(1) FULL-LENGTH PROJECT

DATASET DESCRIPTION

In response to the COVID-19 pandemic, the White House and a coalition of leading research groups have prepared the COVID-19 Open Research Dataset (CORD-19). CORD-19 is a resource of over 44,000 scholarly articles, including over 29,000 with full text, about COVID-19, SARS-CoV-2, and related corona viruses. This freely available dataset is provided to the global research community to apply recent advances in natural language processing and other AI techniques to generate new insights in support of the ongoing fight against this infectious disease. There is a growing urgency for these approaches because of the rapid acceleration in new coronavirus literature, making it difficult for the medical research community to keep up.

CALL TO ACTION

We are issuing a call to action to the world's artificial intelligence experts to develop text and data mining tools that can help the medical community develop answers to high priority scientific questions. The CORD-19 dataset represents the most extensive machine-readable coronavirus literature collection available for data mining to date. This allows the worldwide AI research community the opportunity to apply text and data mining approaches to find answers to questions within, and connect insights across, this content in support of the ongoing COVID-19 response efforts worldwide. There is a growing urgency for these approaches because of the rapid increase in coronavirus literature, making it difficult for the medical community to keep up.

A list of our initial key questions can be found under the Tasks section of this dataset. These key scientific questions are drawn from the NASEM’s SCIED (National Academies of Sciences, Engineering, and Medicine’s Standing Committee on Emerging Infectious Diseases and 21st Century Health Threats) research topics and the World Health Organization’s R&D Blueprint for COVID-19.

Many of these questions are suitable for text mining, and we encourage researchers to develop text mining tools to provide insights on these questions.

In this project, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared in your presentation. You will use all the skills taught in this course to complete this project step-by-step, with guidance from your instructors along the way. You will first create a project proposal to identify your goals for the project, including the question you wish to answer or explore with data. You will then find data that will provide the information you are seeking. You will then import that data into Tableau and prepare it for analysis. Next you will create a dashboard that will allow you to explore the data in depth and identify meaningful insights. You will then give structure to your data story by writing the story arc in narrative form. Finally, you will consult your design checklist to craft the final viz or data story in Tableau. This is your opportunity to show the world what you’re capable of - so think big, and have confidence in your skills!

Kaggle Website:

https://www.kaggle.com/allen-institute-for-ai/CORD...

Assignment Length (word count): 10-15 pages.

References: At least 10 peer-reviewed, scholarly journal references.

User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.

Explanation & Answer

Attached.

Running head: COVID-19 DATASET RESEARCH CHALLENGE
Global COVID-19 Dataset Research
Details
Name
Institutional Affiliation
Date

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Introduction
Coronavirus disease (COVID-19) is a global pandemic that started in China in 2019. The
disease has been a threat to the development in various countries since a number of vital
functions have been affected hence reducing the effectiveness and effectiveness of the various
strategies implemented (Roser, Ritchie & Ortiz-Ospina, 2020). Successfully, there is always the
need to work on key measures of control and ensure that a track is kept for controlling the
adverse effects associated with the Coronavirus disease. There are various datasets that can be
developed from the pandemic based on the global numbers to track the progress and ensure that
effective interventions are implemented for a successful mitigation strategy and reduction of the
spread. Various sectors and economies are affected hence calling for the need to successfully
implement quality measures and ensure that it is controlled (Day 2020). As of the year 2020, the
COVID-19 pandemic is still proving to be lethal with most of the activities in the countries at a
standstill and a number of challenges coming in, making the issues adverse and bad as well.
Statistically, tracking the progress of the disease has been a challenge due to the unpredictable
patterns and the factors that are associated with the countries and the various jurisdictions from
one continent to another. The following is open dataset research regarding the number of
COVID-19 cases and the encroachment techniques applied in the same and the success measures
that can be implemented for a suitable control (Roser, Ritchie & Ortiz-Ospina, 2020). An
analytical perspective of the various figures is useful, and the summary tables provide a good
avenue for research and implementation of a perfect and best approach especially when it comes
to the adverse situation at hand and the global situation of the issues of COVID-19 pandemic:
COVID-19 pandemic description

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COVID-19 is a category of a virus known as severe acute respiratory system disease that
compromises the normal respiration through the adverse measures and the challenges associated
with the same. SARS-CoV-2 is the virus that causes COVID-19 disease, and the successful
measures are supposed to be implemented in the success and control approaches for mitigation of
challenges (Day 2020). Effectively, there is always the need to succeed in the measures and
ensure that the best and crucial interventions are applied and perfect measures implemented for
the reduction and elimination of challenges. The pandemic has been witnessed in a number of
countries from the Alma matter, which is China.
The spread of coronavirus disease is through air droplets that are spread in the different
films, and the successful measures require that the control is implemented for safety (Day 2020).
With the varying lifetime, the virus survives on different surfaces hence making the situation
different whereby the spike in the disease becomes adverse, especially without observation of
quality and effective measures of reduction of challenges and other issues that make the disease
adverse. Some of the challenges associated with the spread of COVID-19 is the reluctance of the
individuals to follow the required protocols and ensuring that the best measures are followed is
the best and perfect measure for reducing the level of spread while working on best and
competitive intervention.
Avoidance of the overcrowded areas is one of the control measures that have been
implemented in breaking the chain of transmission and working on key aspects that must be
applied for the quality and effective interventions that are good and effective (Roser, Ritchie &
Ortiz-Ospina, 2020). Additionally, putting on the facemask in the public areas prevents the
spread of the disease from one individual to another, and the success factor requires that always
the guidelines are followed to assist in the mitigation of challenges while working on key and

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competitive approaches for reduction of challenges and mitigation of measures which are at
hand.
Most of the public health policies have always recommended that sanitizers are used
before going to shop in the stores or after going to the public places, and therefore the success
measures require that fundamental and best measures are implemented to curb the spread that has
proven difficult. COVID-19 is a great pandemic in world history since the black death of the
1600s that also wiped close to half of the European population (Day 2020). The measures such
as keeping social distance, contact tracing, quarantine, and seeking immediate medical help once
the pandemic begins are one of the best and perfect measures to be implemented in support of
the control of the spread to the various people. Community transmission is the worst aspect of
the disease, and the best measures are supposed to be implemented in support of the
vulnerabilities communities.
Statistically, there has always been the need to consider the tracking approach and ensure
that the growth in the general population is implemented to control the challenges and ensure
that best and perfect approaches are implemented. The rates worry in the global states, but there
are always avenues to control the disease and ensure that a more appropriate and best
intervention is applied, especially in the reduction of the adverse effects. Through analytical
approaches such as forecasting and regression analysis, the disease has always been under
control, although the surge in the number witnesses has proven to be a weird scenario, especially
in the management and reduction of the negative and community transmissions witnessed.
For people to understand the concept of the disease and nature, it has in society, research
on the various categories and datasets is regarded as some of the most useful interventions and
measures for effectively reducing the risk (Day 2020). The analytical approaches are good and

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necessary to successfully mitigate the challenges and ensure that the economies are opened for
the success and implementation of best and perfect measures. With the protocols and measures
implemented, a quality approach in the successful integration of researches and crucial
information is required to ensure that the up-to-date data is kept in record and useful tracking
measures are implemented in support of the measures and techniques applied.
Dataset on the Countries affected
Since the beginning of the pandemic in late 2019 in China, the global spread of the
disease is alarming, and various nations have been victims of the same. A number of states have
experienced the full-blown disease that has seen the shutting down of economies and restrictions
put in place to ensure that best and integrated measures are applied for the support of the
populations and individuals at risk (Day 2020). Beginning with China, the Wuhan epicenter,
COVID-19, has been transmitted to various countries and has seen many economies impacted by
the challenge. Italy clocked a high-rate of the disease that greatly impacted the economy and the
health sector at large.
The United States cannot be left behind in the analysis of the countries affected since
there is a current population of approximately 40 million people with the disease. There are
many deaths, and the condition has disrupted a number of activities hence reducing the quality
and effective interventions associated with the same. To successfully reduce the challenges, it
has always proven adverse and difficult, especially in the reduction of challenges and working on
competitive and right measures. The global statistics reveal that various countries have been hit,
such as Spain, Croatia, Chile, Germany, and Belgium, among many other states. The African
countries have also been regarded as the major states that have been adversely affected by the
condition (Day 2020). Necessarily, the pandemic has created a situation that is difficult to

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explain since the number of countries that reported the disease had increased hence indicating
that the government requires strategies and approaches in the control and reduction of the
adverse situations at hand. The following is a summary table that indicates the level of the
disease when it comes to th...

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