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Can mathematical modelling solve the current Covid-19 crisis?
Since COVID-19 transmission started in late January, mathematical modelling has been at the forefront of shaping the decisions around different non-pharmaceutical interventions to confine its’ spread in the UK and worldwide. This Editorial discusses the importance of modelling in understanding Covid...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181400/ https://www.ncbi.nlm.nih.gov/pubmed/32331516 http://dx.doi.org/10.1186/s12889-020-08671-z |
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author | Panovska-Griffiths, Jasmina |
author_facet | Panovska-Griffiths, Jasmina |
author_sort | Panovska-Griffiths, Jasmina |
collection | PubMed |
description | Since COVID-19 transmission started in late January, mathematical modelling has been at the forefront of shaping the decisions around different non-pharmaceutical interventions to confine its’ spread in the UK and worldwide. This Editorial discusses the importance of modelling in understanding Covid-19 spread, highlights different modelling approaches and suggests that while modelling is important, no one model can give all the answers. |
format | Online Article Text |
id | pubmed-7181400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71814002020-04-27 Can mathematical modelling solve the current Covid-19 crisis? Panovska-Griffiths, Jasmina BMC Public Health Editorial Since COVID-19 transmission started in late January, mathematical modelling has been at the forefront of shaping the decisions around different non-pharmaceutical interventions to confine its’ spread in the UK and worldwide. This Editorial discusses the importance of modelling in understanding Covid-19 spread, highlights different modelling approaches and suggests that while modelling is important, no one model can give all the answers. BioMed Central 2020-04-24 /pmc/articles/PMC7181400/ /pubmed/32331516 http://dx.doi.org/10.1186/s12889-020-08671-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Editorial Panovska-Griffiths, Jasmina Can mathematical modelling solve the current Covid-19 crisis? |
title | Can mathematical modelling solve the current Covid-19 crisis? |
title_full | Can mathematical modelling solve the current Covid-19 crisis? |
title_fullStr | Can mathematical modelling solve the current Covid-19 crisis? |
title_full_unstemmed | Can mathematical modelling solve the current Covid-19 crisis? |
title_short | Can mathematical modelling solve the current Covid-19 crisis? |
title_sort | can mathematical modelling solve the current covid-19 crisis? |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181400/ https://www.ncbi.nlm.nih.gov/pubmed/32331516 http://dx.doi.org/10.1186/s12889-020-08671-z |
work_keys_str_mv | AT panovskagriffithsjasmina canmathematicalmodellingsolvethecurrentcovid19crisis |