Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review
The outbreak of novel corona virus 2019 (COVID-19) has been treated as a public health
crisis of global concern by the World Health Organization (WHO). COVID-19 pandemic …
crisis of global concern by the World Health Organization (WHO). COVID-19 pandemic …
Contact tracing apps for the COVID-19 pandemic: a systematic literature review of challenges and future directions for neo-liberal societies
Purpose The COVID-19 pandemic has spread with increased fatalities around the world and
has become an international public health crisis. Public health authorities in many countries …
has become an international public health crisis. Public health authorities in many countries …
Artificial neural network-based estimation of COVID-19 case numbers and effective reproduction rate using wastewater-based epidemiology
As a cost-effective and objective population-wide surveillance tool, wastewater-based
epidemiology (WBE) has been widely implemented worldwide to monitor the severe acute …
epidemiology (WBE) has been widely implemented worldwide to monitor the severe acute …
Fuzzy rank-based fusion of CNN models using Gompertz function for screening COVID-19 CT-scans
COVID-19 has crippled the world's healthcare systems, setting back the economy and taking
the lives of several people. Although potential vaccines are being tested and supplied …
the lives of several people. Although potential vaccines are being tested and supplied …
Beyond the factory paradigm: Digital nomadism and the digital future (s) of knowledge work post-COVID-19
B Wang, D Schlagwein… - Journal of the …, 2020 - aisel.aisnet.org
What are the potential futures of knowledge work, given its transformation into almost
exclusively digital work during the COVID-19 pandemic crisis? Our ongoing research …
exclusively digital work during the COVID-19 pandemic crisis? Our ongoing research …
[HTML][HTML] Role of machine learning techniques to tackle the COVID-19 crisis: systematic review
Background: SARS-CoV-2, the novel coronavirus responsible for COVID-19, has caused
havoc worldwide, with patients presenting a spectrum of complications that have pushed …
havoc worldwide, with patients presenting a spectrum of complications that have pushed …
A blockchain and artificial intelligence-based, patient-centric healthcare system for combating the COVID-19 pandemic: Opportunities and applications
MY Jabarulla, HN Lee - Healthcare, 2021 - mdpi.com
The world is facing multiple healthcare challenges because of the emergence of the COVID-
19 (coronavirus) pandemic. The pandemic has exposed the limitations of handling public …
19 (coronavirus) pandemic. The pandemic has exposed the limitations of handling public …
Automatic distinction between COVID-19 and common pneumonia using multi-scale convolutional neural network on chest CT scans
T Yan, PK Wong, H Ren, H Wang, J Wang, Y Li - Chaos, Solitons & Fractals, 2020 - Elsevier
The COVID-19 pneumonia is a global threat since it emerged in early December 2019.
Driven by the desire to develop a computer-aided system for the rapid diagnosis of COVID …
Driven by the desire to develop a computer-aided system for the rapid diagnosis of COVID …
A machine learning based exploration of COVID-19 mortality risk
Early prediction of patient mortality risks during a pandemic can decrease mortality by
assuring efficient resource allocation and treatment planning. This study aimed to develop …
assuring efficient resource allocation and treatment planning. This study aimed to develop …
[HTML][HTML] On the reliability of predictions on Covid-19 dynamics: A systematic and critical review of modelling techniques
JE Gnanvi, KV Salako, GB Kotanmi… - Infectious Disease …, 2021 - Elsevier
Since the emergence of the novel 2019 coronavirus pandemic in December 2019 (COVID-
19), numerous modellers have used diverse techniques to assess the dynamics of …
19), numerous modellers have used diverse techniques to assess the dynamics of …