Factors influencing control of the epidemic in Egypt : Case of mapping vulnerability index for the spread of COVID-19 | ||||
| Journal of Engineering Science and Military Technologies | ||||
| Volume 4, Issue 2, September 2020, Page 190-204 PDF (1.6 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ejmtc.2021.50558.1159 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
IRENE Samy Fahim   1; Nahla Hazem2; Tawfik Ismail3; Dina ElKayaly4
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| 1Industrial Engineering, Nile University, Cairo, Egypt | ||||
| 2Nile University | ||||
| 3Nile university | ||||
| 4New Giza | ||||
| 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. | ||||
| Keywords | ||||
| Blockchain; COVID-19; SPSS; mapping; AI | ||||
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