epidWaves: A code for fitting multi-wave epidemic models [Image: see text]

The COVID-19 pandemic has given rise to a great demand for computational models capable of describing and inferring the evolution of an epidemic outbreak in the short term. In this sense, we introduce epidWaves, a package that provides a framework for fitting multi-wave epidemic models to data from...

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Detalles Bibliográficos
Autores principales: Cunha, Americo, Batista, Fernando da Conceição, Gianfelice, Paulo Roberto de Lima, Oyarzabal, Ricardo Sovek, Grzybowski, Jose Mario Vicensi, Macau, Elbert E.N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2022
Materias:
Original Software Publication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316937/
https://www.ncbi.nlm.nih.gov/pubmed/35909895
http://dx.doi.org/10.1016/j.simpa.2022.100391
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author Cunha, Americo
Batista, Fernando da Conceição
Gianfelice, Paulo Roberto de Lima
Oyarzabal, Ricardo Sovek
Grzybowski, Jose Mario Vicensi
Macau, Elbert E.N.
author_facet Cunha, Americo
Batista, Fernando da Conceição
Gianfelice, Paulo Roberto de Lima
Oyarzabal, Ricardo Sovek
Grzybowski, Jose Mario Vicensi
Macau, Elbert E.N.
author_sort Cunha, Americo
collection PubMed
description The COVID-19 pandemic has given rise to a great demand for computational models capable of describing and inferring the evolution of an epidemic outbreak in the short term. In this sense, we introduce epidWaves, a package that provides a framework for fitting multi-wave epidemic models to data from actual outbreaks of COVID-19 and other infectious diseases.
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spelling pubmed-93169372022-07-26 epidWaves: A code for fitting multi-wave epidemic models [Image: see text] Cunha, Americo Batista, Fernando da Conceição Gianfelice, Paulo Roberto de Lima Oyarzabal, Ricardo Sovek Grzybowski, Jose Mario Vicensi Macau, Elbert E.N. Softw Impacts Original Software Publication The COVID-19 pandemic has given rise to a great demand for computational models capable of describing and inferring the evolution of an epidemic outbreak in the short term. In this sense, we introduce epidWaves, a package that provides a framework for fitting multi-wave epidemic models to data from actual outbreaks of COVID-19 and other infectious diseases. The Author(s). Published by Elsevier B.V. 2022-12 2022-07-26 /pmc/articles/PMC9316937/ /pubmed/35909895 http://dx.doi.org/10.1016/j.simpa.2022.100391 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Software Publication
Cunha, Americo
Batista, Fernando da Conceição
Gianfelice, Paulo Roberto de Lima
Oyarzabal, Ricardo Sovek
Grzybowski, Jose Mario Vicensi
Macau, Elbert E.N.
epidWaves: A code for fitting multi-wave epidemic models [Image: see text]
title epidWaves: A code for fitting multi-wave epidemic models [Image: see text]
title_full epidWaves: A code for fitting multi-wave epidemic models [Image: see text]
title_fullStr epidWaves: A code for fitting multi-wave epidemic models [Image: see text]
title_full_unstemmed epidWaves: A code for fitting multi-wave epidemic models [Image: see text]
title_short epidWaves: A code for fitting multi-wave epidemic models [Image: see text]
title_sort epidwaves: a code for fitting multi-wave epidemic models [image: see text]
topic Original Software Publication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316937/
https://www.ncbi.nlm.nih.gov/pubmed/35909895
http://dx.doi.org/10.1016/j.simpa.2022.100391
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