Artificial intelligence (AI) and big data for coronavirus (COVID-19) pandemic: a survey on the state-of-the-arts
The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec.
2019. The COVID-19 pandemic has spread over 214 countries and areas in the world, and …
2019. The COVID-19 pandemic has spread over 214 countries and areas in the world, and …
Prediction of COVID-19 confirmed cases combining deep learning methods and Bayesian optimization
H Abbasimehr, R Paki - Chaos, Solitons & Fractals, 2021 - Elsevier
COVID-19 virus has encountered people in the world with numerous problems. Given the
negative impacts of COVID-19 on all aspects of people's lives, especially health and …
negative impacts of COVID-19 on all aspects of people's lives, especially health and …
Modeling and prediction of COVID-19 in Mexico applying mathematical and computational models
O Torrealba-Rodriguez, RA Conde-Gutiérrez… - Chaos, Solitons & …, 2020 - Elsevier
This work presents the modeling and prediction of cases of COVID-19 infection in Mexico
through mathematical and computational models using only the confirmed cases provided …
through mathematical and computational models using only the confirmed cases provided …
Technological advancements and elucidation gadgets for Healthcare applications: An exhaustive methodological review-part-I (AI, big data, block chain, open-source …
In the realm of the emergence and spread of infectious diseases with pandemic potential
throughout the history, plenty of pandemics (and epidemics), from the plague to AIDS (1981) …
throughout the history, plenty of pandemics (and epidemics), from the plague to AIDS (1981) …
A novel approach based on combining deep learning models with statistical methods for COVID-19 time series forecasting
The COVID-19 pandemic has disrupted the economy and businesses and impacted all
facets of people's lives. It is critical to forecast the number of infected cases to make accurate …
facets of people's lives. It is critical to forecast the number of infected cases to make accurate …
A novel methodology for epidemic risk assessment of COVID-19 outbreak
We propose a novel data-driven framework for assessing the a-priori epidemic risk of a
geographical area and for identifying high-risk areas within a country. Our risk index is …
geographical area and for identifying high-risk areas within a country. Our risk index is …
Modelling fatality curves of COVID-19 and the effectiveness of intervention strategies
The main objective of the present article is twofold: first, to model the fatality curves of the
COVID-19 disease, as represented by the cumulative number of deaths as a function of time; …
COVID-19 disease, as represented by the cumulative number of deaths as a function of time; …
Can we rely on COVID-19 data? An assessment of data from over 200 countries worldwide
N Farhadi - Science progress, 2021 - journals.sagepub.com
To fight COVID-19, global access to reliable data is vital. Given the rapid acceleration of new
cases and the common sense of global urgency, COVID-19 is subject to thorough …
cases and the common sense of global urgency, COVID-19 is subject to thorough …
The effect of strict state measures on the epidemiologic curve of COVID-19 infection in the context of a developing country: a simulation from Jordan
COVID-19 has posed an unprecedented global public health threat and caused a significant
number of severe cases that necessitated long hospitalization and overwhelmed health …
number of severe cases that necessitated long hospitalization and overwhelmed health …
Universality in COVID-19 spread in view of the Gompertz function
We demonstrate that universal scaling behavior is observed in the current coronavirus
(SARS-CoV-2) spread, the COVID-19 pandemic, in various countries. We analyze the …
(SARS-CoV-2) spread, the COVID-19 pandemic, in various countries. We analyze the …