Data Science Presentation: Corona Virus Pandemic and Data Analysis

This presentation provides an overview of the application of data science and AI in understanding and managing the COVID-19 pandemic. It begins by outlining historical pandemics like the Black Death and the 1918 flu, analyzing their impact and trends. The presentation then focuses on the COVID-19 pandemic, examining data trends such as total cases, daily new cases, recoveries, and deaths, and compares them with previous influenza outbreaks. It highlights the use of data analysis in curbing the pandemic, including examples from countries like China, which have used AI robots and surveillance systems to track and manage the spread. Furthermore, the presentation suggests the use of AI robots, GPS tracking, and real-time data visualization. Finally, it includes an example of a predictive model used to forecast future trends based on past recovery and death data. This analysis aims to demonstrate the critical role of data science in public health and pandemic response.

Running head: DATA SCIENCE AND CORONA
Data science and Corona
Name of the Student
Institution Affiliation

DATA SCIENCE AND CORONA 2
The Use of Data Analysis and AI to curb Corona Virus Pandemic slides Overview.
Introduction
The slides start with an overview of what a pandemic is and previously experienced
pandemics that greatly affected the world. It highlights deeply the top four, which include:-
Black Death, Smallpox, 1918 Russian flu and The plague of Justinian. They were analyzed in
terms of the number of deaths that they caused and the years of occurrence.
Pandemics trends in History
Commonly seen trends in history were analyzed, this shows trends that were common in
the history of pandemic and how they managed to come into extinction. It is observed that
continuous learning is key to the tackles of pandemics in the past.
COVID-19
COVID-19 is the most recent pandemic attack the world has experienced. Its origin being
Wuhan, China and has gone and continues to affect millions of people. Its common data trends
are analyzed and also compared with the pest similar influenza attacks. Some of the analyzed
data trends include:- Total affected cases, daily new cases, recovered, deaths, critical condition
cases numbers. The data presentation shows the analysis; and comparison of the trends shown as
graphs. The symptoms of the disease were also featured with high fever and loss of breath of the
patient as a key sign.
Data Analysis Use in curbing the pandemic.
Data is analyzed as an important and essential part of tacking a problem, especially in the
new technological world. Data can help with Pandemic detection and augmenting health
services. Countries like England, the United States have been trying to utilize the data of their
citizens so as to control the Pandemic. China has made huge steps that have paid dearly which a

DATA SCIENCE AND CORONA 3
significant recovery of the infected cases and a reduction of the number of daily infected cases.
Some of the measures taken by China include:- The introduction of AI robots to inform people of
preventive measures, use of their surveillance system to track down people who have interacted
with a positive case. All countries have been advised to emulate China’s key technological steps
to compact the pandemic.
Suggestions on how AI and Data Analysis use could be helpful include:- Use of Similar
robots as those in China, Tracking of citizens by their government using GPS, Realtime
visualization of the data as its mined fro reported cases all over the world, etc. The types of
machinery to be used to achieve these include:- Automatic Chatbots, Ai robots, incorporated
GPS systems, heat monitoring systems, etc. Details have been given in the slides.
Finally, an example of a predictive model has been given that uses the previous recovered
and deaths to predict future trends of the same.