The hidden Markov chain modelling of the COVID-19 spreading using Moroccan dataset-Reference-Cited by-同舟云学术

The hidden Markov chain modelling of the COVID-19 spreading using Moroccan dataset

Published:2020-10 Issue: Volume:32 Page:106067
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

Marfak Abdelghafour^ORCID,Achak Doha^ORCID,Azizi Asmaa^ORCID,Nejjari Chakib,Aboudi Khalid,Saad Elmadani,Hilali Abderraouf,Youlyouz-Marfak Ibtissam^ORCID

Funder

Centre National pour la Recherche Scientifique et Technique

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference7 articles.

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2. Mathematic modeling of COVID-19 in the United States;Tang;Emerg. Microbes Infect.,2020

3. Predicting turning point, duration and attack rate of COVID-19 outbreaks in major Western countries;Zhang;Chaos Solitons Fract.,2020

4. On a coupled time-dependent sir models fitting with New York and New-Jersey states COVID-19 data;Ambrosio;Biol. (Basel),2020

5. Application of the ARIMA model on the COVID-2019 epidemic dataset;Benvenuto;Data Brief,2020

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1. HMC-COVID-19: Hidden Markov Chains Model for COVID-19 Diagnosis;2023 International Conference on Decision Aid Sciences and Applications (DASA);2023-09-16

2. A data-driven Markov process for infectious disease transmission;PLOS ONE;2023-08-10

3. Markov Chain Models in Covid-19 Prediction: State-of-the-art and Future Perspectives;Highlights in Science, Engineering and Technology;2023-05-21

4. Morocco's COVID-19 instance as a potential epidemiological scenario;2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2023-05-18

5. Prediction of the SARS-CoV-2 Derived T-Cell Epitopes’ Response Against COVID Variants;Computers, Materials & Continua;2023