Data-rich modeling helps answer increasingly complex questions on variant and disease interactions: Comment on “Mathematical models for dengue fever epidemiology: A 10-year systematic review” by Aguiar et al.

Detalles Bibliográficos
Autor principal: Roster, K.O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2023
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893800/
https://www.ncbi.nlm.nih.gov/pubmed/36773393
http://dx.doi.org/10.1016/j.plrev.2023.01.009
_version_ 1784881605352882176
author Roster, K.O.
author_facet Roster, K.O.
author_sort Roster, K.O.
collection PubMed
description
format Online
Article
Text
id pubmed-9893800
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier B.V.
record_format MEDLINE/PubMed
spelling pubmed-98938002023-02-02 Data-rich modeling helps answer increasingly complex questions on variant and disease interactions: Comment on “Mathematical models for dengue fever epidemiology: A 10-year systematic review” by Aguiar et al. Roster, K.O. Phys Life Rev Comment Elsevier B.V. 2023-03 2023-02-02 /pmc/articles/PMC9893800/ /pubmed/36773393 http://dx.doi.org/10.1016/j.plrev.2023.01.009 Text en © 2023 Elsevier B.V. All rights reserved. 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 Comment
Roster, K.O.
Data-rich modeling helps answer increasingly complex questions on variant and disease interactions: Comment on “Mathematical models for dengue fever epidemiology: A 10-year systematic review” by Aguiar et al.
title Data-rich modeling helps answer increasingly complex questions on variant and disease interactions: Comment on “Mathematical models for dengue fever epidemiology: A 10-year systematic review” by Aguiar et al.
title_full Data-rich modeling helps answer increasingly complex questions on variant and disease interactions: Comment on “Mathematical models for dengue fever epidemiology: A 10-year systematic review” by Aguiar et al.
title_fullStr Data-rich modeling helps answer increasingly complex questions on variant and disease interactions: Comment on “Mathematical models for dengue fever epidemiology: A 10-year systematic review” by Aguiar et al.
title_full_unstemmed Data-rich modeling helps answer increasingly complex questions on variant and disease interactions: Comment on “Mathematical models for dengue fever epidemiology: A 10-year systematic review” by Aguiar et al.
title_short Data-rich modeling helps answer increasingly complex questions on variant and disease interactions: Comment on “Mathematical models for dengue fever epidemiology: A 10-year systematic review” by Aguiar et al.
title_sort data-rich modeling helps answer increasingly complex questions on variant and disease interactions: comment on “mathematical models for dengue fever epidemiology: a 10-year systematic review” by aguiar et al.
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893800/
https://www.ncbi.nlm.nih.gov/pubmed/36773393
http://dx.doi.org/10.1016/j.plrev.2023.01.009
work_keys_str_mv AT rosterko datarichmodelinghelpsanswerincreasinglycomplexquestionsonvariantanddiseaseinteractionscommentonmathematicalmodelsfordenguefeverepidemiologya10yearsystematicreviewbyaguiaretal

Ejemplares similares