A review of modern technologies for tackling COVID-19 pandemic

A Kumar, PK Gupta, A Srivastava - Diabetes & Metabolic Syndrome …, 2020 - Elsevier
Objective Science and technology sector constituting of data science, machine learning and
artificial intelligence are contributing towards COVID-19. The aim of the present study is to …

Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review

AH Alamoodi, BB Zaidan, AA Zaidan, OS Albahri… - Expert systems with …, 2021 - Elsevier
The COVID-19 pandemic caused by the novel coronavirus SARS-CoV-2 occurred
unexpectedly in China in December 2019. Tens of millions of confirmed cases and more …

Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media

K Chakraborty, S Bhatia, S Bhattacharyya, J Platos… - Applied Soft …, 2020 - Elsevier
COVID-19 originally known as Corona VIrus Disease of 2019, has been declared as a
pandemic by World Health Organization (WHO) on 11th March 2020. Unprecedented …

Forecasting COVID-19 impact on hospital bed-days, ICU-days, ventilator-days and deaths by US state in the next 4 months

IHME COVID-19 Health Service Utilization Forecasting … - MedRxiv, 2020 - medrxiv.org
Importance This study presents the first set of estimates of predicted health service utilization
and deaths due to COVID-19 by day for the next 4 months for each state in the US. Objective …

[HTML][HTML] Quantifying online news media coverage of the COVID-19 pandemic: Text mining study and resource

K Krawczyk, T Chelkowski, DJ Laydon, S Mishra… - Journal of medical …, 2021 - jmir.org
Background: Before the advent of an effective vaccine, nonpharmaceutical interventions,
such as mask-wearing, social distancing, and lockdowns, have been the primary measures …

The negative impact of social media during COVID-19 pandemic

ME Lelisho, D Pandey, BD Alemu, BK Pandey… - Trends in …, 2023 - Springer
The coronavirus pandemic is a global pandemic of Coronavirus Disease 2019 (COVID-19)
resulting from the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) …

Cardiac safety of off-label COVID-19 drug therapy: a review and proposed monitoring protocol

N Naksuk, S Lazar… - European Heart Journal …, 2020 - journals.sagepub.com
More than 2,000,000 individuals worldwide have had coronavirus 2019 disease infection
(COVID-19), yet there is no effective medical therapy. Multiple off-label and investigational …

What are the underlying transmission patterns of COVID-19 outbreak? An age-specific social contact characterization

Y Liu, Z Gu, S Xia, B Shi, XN Zhou, Y Shi, J Liu - EClinicalMedicine, 2020 - thelancet.com
Background COVID-19 has spread to 6 continents. Now is opportune to gain a deeper
understanding of what may have happened. The findings can help inform mitigation …

Development of new hybrid model of discrete wavelet decomposition and autoregressive integrated moving average (ARIMA) models in application to one month …

S Singh, KS Parmar, J Kumar, SJS Makkhan - Chaos, solitons & fractals, 2020 - Elsevier
Everywhere around the globe, the hot topic of discussion today is the ongoing and fast-
spreading coronavirus disease (COVID-19), which is caused by the severe acute respiratory …

Utility of artificial intelligence amidst the COVID 19 pandemic: a review

A Bansal, RP Padappayil, C Garg, A Singal… - Journal of Medical …, 2020 - Springer
The term machine learning refers to a collection of tools used for identifying patterns in data.
As opposed to traditional methods of pattern identification, machine learning tools relies on …