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169732

Factors influencing control of the epidemic in Egypt : Case of mapping vulnerability index for the spread of COVID-19

Article

Last updated: 22 Jan 2023

Subjects

-

Tags

Computers and Operational Researches

Abstract

The development of data analytics helps the governorates to identify strategies and procedures to minimize the negative impacts of COVID-19. Several epidemiological models are employed to monitor and understand the spread of diseases and their impacts on countries. This article aims to present the relative risks faced by each country so that response efforts can be more effectively focused during the different phases of the pandemic. It analyses important factors for countries through different simulated modelling. Geographic Information Systems (GIS) mapping was also presented to determine and classify disease transmission susceptibility and analyse disease transmission decisions. Furthermore, this article aims to provide a detailed overview of the possibilities that Artificial Intelligence (AI) and Big Data present when it is coping with the COVID 19 pandemic. It also uses blockchain technology for recording, verifying, and authorizing data when carrying out a series of transactions. AI is a powerful technology that can help tackle the threat of the COVID 19 pandemic by using various techniques, including machine learning and natural language processing.

DOI

10.21608/ejmtc.2021.50558.1159

Keywords

Blockchain, COVID-19, SPSS, mapping, AI

Authors

First Name

IRENE

Last Name

Fahim

MiddleName

Samy

Affiliation

Industrial Engineering, Nile University, Cairo, Egypt

Email

isamy@nu.edu.eg

City

cairo

Orcid

0000-0001-9940-5208

First Name

Nahla

Last Name

Hazem

MiddleName

-

Affiliation

Nile University

Email

nhazem@nu.edu.eg

City

cairo

Orcid

-

First Name

Tawfik

Last Name

Ismail

MiddleName

-

Affiliation

Nile university

Email

tismail@nu.edu.eg

City

Cairo

Orcid

-

First Name

Dina

Last Name

ElKayaly

MiddleName

-

Affiliation

New Giza

Email

dina68@hotmail.com

City

-

Orcid

-

Volume

4

Article Issue

2

Related Issue

24787

Issue Date

2020-09-01

Receive Date

2020-12-22

Publish Date

2020-09-01

Page Start

190

Page End

204

Print ISSN

2357-0954

Online ISSN

2357-0946

Link

https://ejmtc.journals.ekb.eg/article_169732.html

Detail API

https://ejmtc.journals.ekb.eg/service?article_code=169732

Order

169,732

Type

Original Article

Type Code

307

Publication Type

Journal

Publication Title

Journal of Engineering Science and Military Technologies

Publication Link

https://ejmtc.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023