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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...

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Autores principales: Morse, Stephen S, Mazet, Jonna AK, Woolhouse, Mark, Parrish, Colin R, Carroll, Dennis, Karesh, William B, Zambrana-Torrelio, Carlos, Lipkin, W Ian, Daszak, Peter
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
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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.
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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
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