COVID-19 prediction models and unexploited data
KC Santosh - Journal of medical systems, 2020 - Springer
Abstract For COVID-19, predictive modeling, in the literature, uses broadly SEIR/SIR, agent-
based, curve-fitting techniques/models. Besides, machine-learning models that are built on …
based, curve-fitting techniques/models. Besides, machine-learning models that are built on …
An Internet of Robotic Things System for combating coronavirus disease pandemic (COVID-19)
The end of 2019 marked the emergence of a severe acute respiratory syndrome called
COVID-19, which created an international public emergency and caused an epidemic. By …
COVID-19, which created an international public emergency and caused an epidemic. By …
Differential evolution and particle swarm optimization against COVID-19
AP Piotrowski, AE Piotrowska - Artificial Intelligence Review, 2022 - Springer
COVID-19 disease, which highly affected global life in 2020, led to a rapid scientific
response. Versatile optimization methods found their application in scientific studies related …
response. Versatile optimization methods found their application in scientific studies related …
Exposure notification system activity as a leading indicator for SARS-COV-2 caseload forecasting
E Aronoff-Spencer, S Mazrouee, R Graham… - Plos one, 2023 - journals.plos.org
Purpose Digital methods to augment traditional contact tracing approaches were developed
and deployed globally during the COVID-19 pandemic. These “Exposure Notification (EN)” …
and deployed globally during the COVID-19 pandemic. These “Exposure Notification (EN)” …
Measuring COVID-19 spreading speed through the mean time between infections indicator
G Pena, V Moreno, NR Barraza - Epidemiologic Methods, 2023 - degruyter.com
Objectives To introduce a novel way of measuring the spreading speed of an epidemic.
Methods We propose to use the mean time between infections (MTBI) metric obtained from a …
Methods We propose to use the mean time between infections (MTBI) metric obtained from a …
Clustering Algorithm-Based Pandemic Multicluster Framework Analysis: K-Means and K-Medoids
W Ramdhan, OS Sitompul… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Several research results show that the variables determining the distribution of the
pandemic become a reference for all regions in dealing with the pandemic. A number of …
pandemic become a reference for all regions in dealing with the pandemic. A number of …
An Exploratory Analysis and Predictive SIR Model for the Early Onset of COVID-19 in Tamil Nadu, India
CT Mandapati - Machine Learning and Data Analytics for Predicting …, 2021 - igi-global.com
The growth of COVID-19 (SARS-CoV-2) in India has been rampant. Despite having a
relatively small value of R0, the spread of disease increases exponentially every …
relatively small value of R0, the spread of disease increases exponentially every …