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Pandemic Risk Modelling
This chapter will explore the nature of communicable diseases, a brief history of pandemics, and will introduce the mathematical models used to evaluate the risk pandemics pose to human populations. Such modelling is used in a public health context, where modelling past and current events provides i...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121215/ http://dx.doi.org/10.1007/978-3-319-59297-8_15 |
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author | Smith, Dominic |
author_facet | Smith, Dominic |
author_sort | Smith, Dominic |
collection | PubMed |
description | This chapter will explore the nature of communicable diseases, a brief history of pandemics, and will introduce the mathematical models used to evaluate the risk pandemics pose to human populations. Such modelling is used in a public health context, where modelling past and current events provides insight in how to respond most effectively to a new outbreak. It is also used in the context of risk mutualisation and transfer. As recently as 2013, a survey of 30,000 insurance executives placed global pandemic as the biggest extreme risk facing insurers (Towers Watson. 2013. Insurers Rate Global Pandemic as the Major Extreme Risk. 3 December). The chapter will introduce the principles used to model these events in the insurance industry and will conclude with a review of the way these models are applied in an unconventional risk transfer context. |
format | Online Article Text |
id | pubmed-7121215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71212152020-04-06 Pandemic Risk Modelling Smith, Dominic The Palgrave Handbook of Unconventional Risk Transfer Article This chapter will explore the nature of communicable diseases, a brief history of pandemics, and will introduce the mathematical models used to evaluate the risk pandemics pose to human populations. Such modelling is used in a public health context, where modelling past and current events provides insight in how to respond most effectively to a new outbreak. It is also used in the context of risk mutualisation and transfer. As recently as 2013, a survey of 30,000 insurance executives placed global pandemic as the biggest extreme risk facing insurers (Towers Watson. 2013. Insurers Rate Global Pandemic as the Major Extreme Risk. 3 December). The chapter will introduce the principles used to model these events in the insurance industry and will conclude with a review of the way these models are applied in an unconventional risk transfer context. 2017-05-05 /pmc/articles/PMC7121215/ http://dx.doi.org/10.1007/978-3-319-59297-8_15 Text en © The Author(s) 2017 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Smith, Dominic Pandemic Risk Modelling |
title | Pandemic Risk Modelling |
title_full | Pandemic Risk Modelling |
title_fullStr | Pandemic Risk Modelling |
title_full_unstemmed | Pandemic Risk Modelling |
title_short | Pandemic Risk Modelling |
title_sort | pandemic risk modelling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121215/ http://dx.doi.org/10.1007/978-3-319-59297-8_15 |
work_keys_str_mv | AT smithdominic pandemicriskmodelling |