A Survey on COVID-19 Data Analysis Using AI, IoT, and Social Media.

Publication date: Jun 13, 2023

Coronaviruses are a well-established and deadly group of viruses that cause illness in both humans and animals. The novel type of this virus group, named COVID-19, was firstly reported in December 2019, and, with the passage of time, coronavirus has spread to almost all parts of the world. Coronavirus has been the cause of millions of deaths around the world. Furthermore, many countries are struggling with COVID-19 and have experimented with various kinds of vaccines to eliminate the deadly virus and its variants. This survey deals with COVID-19 data analysis and its impact on human social life. Data analysis and information related to coronavirus can greatly help scientists and governments in controlling the spread and symptoms of the deadly coronavirus. In this survey, we cover many areas of discussion related to COVID-19 data analysis, such as how artificial intelligence, along with machine learning, deep learning, and IoT, have worked together to fight against COVID-19. We also discuss artificial intelligence and IoT techniques used to forecast, detect, and diagnose patients of the novel coronavirus. Moreover, this survey also describes how fake news, doctored results, and conspiracy theories were spread over social media sites, such as Twitter, by applying various social network analysis and sentimental analysis techniques. A comprehensive comparative analysis of existing techniques has also been conducted. In the end, the Discussion section presents different data analysis techniques, provides future directions for research, and suggests general guidelines for handling coronavirus, as well as changing work and life conditions.

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Concepts Keywords
Coronaviruses Artificial Intelligence
Deaths artificial intelligence
December COVID-19
Intelligence COVID-19
Twitter data analysis
epidemic outbreak
Machine Learning
Social Media
social network analysis


Type Source Name
disease MESH COVID-19
disease VO Viruses
disease VO time
drug DRUGBANK Coenzyme M
disease VO USA
pathway REACTOME Immune System
disease MESH Severe Acute Respiratory Syndrome
disease MESH Syndrome
disease MESH death
disease MESH pneumonia
disease VO organization
drug DRUGBANK Medical air
disease VO vaccine
disease IDO history
disease VO dead
disease MESH influenza
disease MESH infection
drug DRUGBANK Nonoxynol-9
pathway KEGG Coronavirus disease
drug DRUGBANK Flunarizine
drug DRUGBANK Alpha-1-proteinase inhibitor
disease IDO algorithm
disease IDO facility
disease VO Optaflu
disease VO ARCoV
disease IDO process
disease VO effective
disease MESH Cardiovascular diseases
disease MESH cancer
disease VO efficiency
disease VO company
disease VO Canada
disease IDO blood
disease VO efficient
drug DRUGBANK Etoperidone
disease VO Thing
disease MESH abnormalities
disease VO effectiveness
disease MESH Bacterial pneumonia
disease MESH viral pneumonia
disease IDO production
disease IDO quality
disease IDO host
disease VO storage
disease VO device
disease MESH pus
drug DRUGBANK Methionine
drug DRUGBANK Oxygen
disease IDO country
drug DRUGBANK Fenamole
disease MESH emergency
drug DRUGBANK Aminosalicylic Acid
disease IDO incubation interval
drug DRUGBANK Aspartame
drug DRUGBANK Ethanol
disease MESH drug abuse
disease VO document
drug DRUGBANK Ilex paraguariensis leaf
disease MESH obesity
disease MESH unemployment
disease IDO intervention
drug DRUGBANK Spinosad
drug DRUGBANK Azelaic acid
disease IDO contact tracing
disease VO volume
drug DRUGBANK (S)-Des-Me-Ampa
disease VO vaccination
drug DRUGBANK Albendazole
disease IDO replication
disease VO Severe acute respiratory syndrome coronavirus 2
drug DRUGBANK Guanosine
drug DRUGBANK Carboxyamidotriazole

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