Cargando…
Epidemiological and genetic analysis of severe acute respiratory syndrome
The severe acute respiratory syndrome (SARS) epidemics in 2002–2003 showed how quickly a novel infectious disease can spread both within communities and internationally. We have reviewed the epidemiological and genetic analyses that have been published both during and since these epidemics, and show...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2004
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106498/ https://www.ncbi.nlm.nih.gov/pubmed/15522679 http://dx.doi.org/10.1016/S1473-3099(04)01173-9 |
_version_ | 1783512617767141376 |
---|---|
author | Donnelly, Christl A Fisher, Matthew C Fraser, Christophe Ghani, Azra C Riley, Steven Ferguson, Neil M Anderson, Roy M |
author_facet | Donnelly, Christl A Fisher, Matthew C Fraser, Christophe Ghani, Azra C Riley, Steven Ferguson, Neil M Anderson, Roy M |
author_sort | Donnelly, Christl A |
collection | PubMed |
description | The severe acute respiratory syndrome (SARS) epidemics in 2002–2003 showed how quickly a novel infectious disease can spread both within communities and internationally. We have reviewed the epidemiological and genetic analyses that have been published both during and since these epidemics, and show how quickly data were collected and analyses undertaken. Key factors that determine the speed and scale of transmission of an infectious disease were estimated using statistical and mathematical modelling approaches, and phylogenetic analyses provided insights into the origin and evolution of the SARS-associated coronavirus. The SARS literature continues to grow, and it is hoped that international collaboration in the analysis of epidemiological and contact-network databases will provide further insights into the spread of this newly emergent infectious disease. |
format | Online Article Text |
id | pubmed-7106498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71064982020-03-31 Epidemiological and genetic analysis of severe acute respiratory syndrome Donnelly, Christl A Fisher, Matthew C Fraser, Christophe Ghani, Azra C Riley, Steven Ferguson, Neil M Anderson, Roy M Lancet Infect Dis Article The severe acute respiratory syndrome (SARS) epidemics in 2002–2003 showed how quickly a novel infectious disease can spread both within communities and internationally. We have reviewed the epidemiological and genetic analyses that have been published both during and since these epidemics, and show how quickly data were collected and analyses undertaken. Key factors that determine the speed and scale of transmission of an infectious disease were estimated using statistical and mathematical modelling approaches, and phylogenetic analyses provided insights into the origin and evolution of the SARS-associated coronavirus. The SARS literature continues to grow, and it is hoped that international collaboration in the analysis of epidemiological and contact-network databases will provide further insights into the spread of this newly emergent infectious disease. Elsevier Ltd. 2004-11 2004-10-30 /pmc/articles/PMC7106498/ /pubmed/15522679 http://dx.doi.org/10.1016/S1473-3099(04)01173-9 Text en Copyright © 2004 Elsevier Ltd. 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 | Article Donnelly, Christl A Fisher, Matthew C Fraser, Christophe Ghani, Azra C Riley, Steven Ferguson, Neil M Anderson, Roy M Epidemiological and genetic analysis of severe acute respiratory syndrome |
title | Epidemiological and genetic analysis of severe acute respiratory syndrome |
title_full | Epidemiological and genetic analysis of severe acute respiratory syndrome |
title_fullStr | Epidemiological and genetic analysis of severe acute respiratory syndrome |
title_full_unstemmed | Epidemiological and genetic analysis of severe acute respiratory syndrome |
title_short | Epidemiological and genetic analysis of severe acute respiratory syndrome |
title_sort | epidemiological and genetic analysis of severe acute respiratory syndrome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106498/ https://www.ncbi.nlm.nih.gov/pubmed/15522679 http://dx.doi.org/10.1016/S1473-3099(04)01173-9 |
work_keys_str_mv | AT donnellychristla epidemiologicalandgeneticanalysisofsevereacuterespiratorysyndrome AT fishermatthewc epidemiologicalandgeneticanalysisofsevereacuterespiratorysyndrome AT fraserchristophe epidemiologicalandgeneticanalysisofsevereacuterespiratorysyndrome AT ghaniazrac epidemiologicalandgeneticanalysisofsevereacuterespiratorysyndrome AT rileysteven epidemiologicalandgeneticanalysisofsevereacuterespiratorysyndrome AT fergusonneilm epidemiologicalandgeneticanalysisofsevereacuterespiratorysyndrome AT andersonroym epidemiologicalandgeneticanalysisofsevereacuterespiratorysyndrome |