Cargando…
Prediction and prevention of the next pandemic zoonosis
Most pandemics—eg, HIV/AIDS, severe acute respiratory syndrome, pandemic influenza—originate in animals, are caused by viruses, and are driven to emerge by ecological, behavioural, or socioeconomic changes. Despite their substantial effects on global public health and growing understanding of the pr...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3712877/ https://www.ncbi.nlm.nih.gov/pubmed/23200504 http://dx.doi.org/10.1016/S0140-6736(12)61684-5 |
_version_ | 1782277118194876416 |
---|---|
author | Morse, Stephen S Mazet, Jonna AK Woolhouse, Mark Parrish, Colin R Carroll, Dennis Karesh, William B Zambrana-Torrelio, Carlos Lipkin, W Ian Daszak, Peter |
author_facet | Morse, Stephen S Mazet, Jonna AK Woolhouse, Mark Parrish, Colin R Carroll, Dennis Karesh, William B Zambrana-Torrelio, Carlos Lipkin, W Ian Daszak, Peter |
author_sort | Morse, Stephen S |
collection | PubMed |
description | Most pandemics—eg, HIV/AIDS, severe acute respiratory syndrome, pandemic influenza—originate in animals, are caused by viruses, and are driven to emerge by ecological, behavioural, or socioeconomic changes. Despite their substantial effects on global public health and growing understanding of the process by which they emerge, no pandemic has been predicted before infecting human beings. We review what is known about the pathogens that emerge, the hosts that they originate in, and the factors that drive their emergence. We discuss challenges to their control and new efforts to predict pandemics, target surveillance to the most crucial interfaces, and identify prevention strategies. New mathematical modelling, diagnostic, communications, and informatics technologies can identify and report hitherto unknown microbes in other species, and thus new risk assessment approaches are needed to identify microbes most likely to cause human disease. We lay out a series of research and surveillance opportunities and goals that could help to overcome these challenges and move the global pandemic strategy from response to pre-emption. |
format | Online Article Text |
id | pubmed-3712877 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-37128772013-12-01 Prediction and prevention of the next pandemic zoonosis Morse, Stephen S Mazet, Jonna AK Woolhouse, Mark Parrish, Colin R Carroll, Dennis Karesh, William B Zambrana-Torrelio, Carlos Lipkin, W Ian Daszak, Peter Lancet Article Most pandemics—eg, HIV/AIDS, severe acute respiratory syndrome, pandemic influenza—originate in animals, are caused by viruses, and are driven to emerge by ecological, behavioural, or socioeconomic changes. Despite their substantial effects on global public health and growing understanding of the process by which they emerge, no pandemic has been predicted before infecting human beings. We review what is known about the pathogens that emerge, the hosts that they originate in, and the factors that drive their emergence. We discuss challenges to their control and new efforts to predict pandemics, target surveillance to the most crucial interfaces, and identify prevention strategies. New mathematical modelling, diagnostic, communications, and informatics technologies can identify and report hitherto unknown microbes in other species, and thus new risk assessment approaches are needed to identify microbes most likely to cause human disease. We lay out a series of research and surveillance opportunities and goals that could help to overcome these challenges and move the global pandemic strategy from response to pre-emption. Elsevier Ltd. 2012 2012-11-29 /pmc/articles/PMC3712877/ /pubmed/23200504 http://dx.doi.org/10.1016/S0140-6736(12)61684-5 Text en Copyright © 2012 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 Morse, Stephen S Mazet, Jonna AK Woolhouse, Mark Parrish, Colin R Carroll, Dennis Karesh, William B Zambrana-Torrelio, Carlos Lipkin, W Ian Daszak, Peter Prediction and prevention of the next pandemic zoonosis |
title | Prediction and prevention of the next pandemic zoonosis |
title_full | Prediction and prevention of the next pandemic zoonosis |
title_fullStr | Prediction and prevention of the next pandemic zoonosis |
title_full_unstemmed | Prediction and prevention of the next pandemic zoonosis |
title_short | Prediction and prevention of the next pandemic zoonosis |
title_sort | prediction and prevention of the next pandemic zoonosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3712877/ https://www.ncbi.nlm.nih.gov/pubmed/23200504 http://dx.doi.org/10.1016/S0140-6736(12)61684-5 |
work_keys_str_mv | AT morsestephens predictionandpreventionofthenextpandemiczoonosis AT mazetjonnaak predictionandpreventionofthenextpandemiczoonosis AT woolhousemark predictionandpreventionofthenextpandemiczoonosis AT parrishcolinr predictionandpreventionofthenextpandemiczoonosis AT carrolldennis predictionandpreventionofthenextpandemiczoonosis AT kareshwilliamb predictionandpreventionofthenextpandemiczoonosis AT zambranatorreliocarlos predictionandpreventionofthenextpandemiczoonosis AT lipkinwian predictionandpreventionofthenextpandemiczoonosis AT daszakpeter predictionandpreventionofthenextpandemiczoonosis |