Forecasting models for coronavirus disease (COVID-19): a survey of the state-of-the-art

GR Shinde, AB Kalamkar, PN Mahalle, N Dey… - SN computer …, 2020 - Springer
COVID-19 is a pandemic that has affected over 170 countries around the world. The number
of infected and deceased patients has been increasing at an alarming rate in almost all the …

Challenges in control of COVID-19: short doubling time and long delay to effect of interventions

L Pellis, F Scarabel, HB Stage… - … of the Royal …, 2021 - royalsocietypublishing.org
Early assessments of the growth rate of COVID-19 were subject to significant uncertainty, as
expected with limited data and difficulties in case ascertainment, but as cases were recorded …

A review on predictive systems and data models for covid-19

FN Khan, AA Khanam, A Ramlal, S Ahmad - … intelligence methods in …, 2021 - Springer
Abstract Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) or novel
Coronavirus, responsible for the transmission of Coronavirus disease (COVID-19) …

Data analytics: Covid-19 prediction using multimodal data

PN Mahalle, NP Sable, NP Mahalle… - Intelligent systems and …, 2020 - Springer
Globally, there is massive uptake and explosion of data, and the challenge is to address
issues like scale, pace, velocity, variety, volume, and complexity of this big data. Considering …

Epidemiological and clinical characteristics of covid-19: A retrospective multi-center study in pakistan

M Ahmad, BM Beg, A Majeed, S Areej, S Riffat… - Frontiers in Public …, 2021 - frontiersin.org
The emergence of a pathogen responsible for a mysterious respiratory disease was
identified in China and later called a novel coronavirus. This disease was named COVID-19 …

Virus graph and COVID-19 pandemic: a graph theory approach

HR Bhapkar, PN Mahalle, PS Dhotre - Big Data Analytics and Artificial …, 2020 - Springer
In the field of science and technology, the graph theory has offered several approaches to
articulate any situation or concept. The use of graph theory enables the users to understand …

[PDF][PDF] Predictive analytics of COVID-19 using information, communication and technologies

PN Mahalle, NP Sable, NP Mahalle, GR Shinde - Preprints, 2020 - academia.edu
Globally, there is massive uptake and explosion of data and challenge is to address issues
like scale, pace, velocity, variety, volume and complexity of the data. Considering the recent …

Deep neural networks in healthcare systems

BR Bhowmik, SA Varna, A Kumar… - Machine learning and …, 2022 - taylorfrancis.com
Since December 2019, the outbreak and rapid spread globally of the novel coronavirus
disease, popularly known as COVID-19, affects people differently depending on their …

Planning as inference in epidemiological dynamics models

F Wood, A Warrington, S Naderiparizi… - Frontiers in Artificial …, 2022 - frontiersin.org
In this work we demonstrate how to automate parts of the infectious disease-control policy-
making process via performing inference in existing epidemiological models. The kind of …

An improved covid-19 forecasting by infectious disease modelling using machine learning

HF Ahmad, H Khaloofi, Z Azhar, A Algosaibi… - Applied Sciences, 2021 - mdpi.com
The mechanisms of data analytics and machine learning can allow for a profound
conceptualization of viruses (such as pathogen transmission rate and behavior) …