Theses and Dissertations

Date of Award

12-2021

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Electrical Engineering

First Advisor

Dr. Weidong Kuang

Second Advisor

Dr. Wenjie Dong

Third Advisor

Dr. Young Zhou

Abstract

The outbreak of COVID-19 has escalated from March 2020. Since then, people from all over the world are curiously searching different types of illness symptoms including corona virus. Before the outbreak, people were also searching different types of symptoms at different times. Both diseases share same symptoms, but in the flu season. If certain types of symptoms are visible at summer season, then these symptoms are for corona virus. The main purpose of our study is to find out this discriminative information from these search result. We will discuss some mathematical concepts and then develop an algorithm based on those formulas and then apply this algorithm to those datasets to find out those discriminative data.

Comments

Copyright 2021 Md Jakir Hossain. All Rights Reserved.

https://go.openathens.net/redirector/utrgv.edu?url=https://www.proquest.com/dissertations-theses/data-analytics-google-trend-search-result-illness/docview/2637158555/se-2?accountid=7119

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