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Spinned Poisson distribution with health management application

Consider a data collection setup during a spread of an infectious disease. Examples include severe acute respiratory syndrome (SARS) or influenza A virus H3N2. The health management in such scenarios quickly removes the infected cases before the data collection is completed. The estimate of the inci...

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Detalles Bibliográficos
Autor principal: Shanmugam, Ramalingam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7087638/
https://www.ncbi.nlm.nih.gov/pubmed/21519931
http://dx.doi.org/10.1007/s10729-011-9157-8
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author Shanmugam, Ramalingam
author_facet Shanmugam, Ramalingam
author_sort Shanmugam, Ramalingam
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description Consider a data collection setup during a spread of an infectious disease. Examples include severe acute respiratory syndrome (SARS) or influenza A virus H3N2. The health management in such scenarios quickly removes the infected cases before the data collection is completed. The estimate of the incidence rate or the chance for anyone to be immune requires using a correct probability distribution. The usual Poisson distribution is inappropriate because of the impact of removing infected cases on the incidence rate as well as observing a new case. An appropriate new probability distribution is derived and is named as spinned Poisson distribution. The statistical properties of the spinned Poisson distribution are developed and illustrated using infectious smallpox incidence in Abakaliki, Nigeria.
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spelling pubmed-70876382020-03-23 Spinned Poisson distribution with health management application Shanmugam, Ramalingam Health Care Manag Sci Article Consider a data collection setup during a spread of an infectious disease. Examples include severe acute respiratory syndrome (SARS) or influenza A virus H3N2. The health management in such scenarios quickly removes the infected cases before the data collection is completed. The estimate of the incidence rate or the chance for anyone to be immune requires using a correct probability distribution. The usual Poisson distribution is inappropriate because of the impact of removing infected cases on the incidence rate as well as observing a new case. An appropriate new probability distribution is derived and is named as spinned Poisson distribution. The statistical properties of the spinned Poisson distribution are developed and illustrated using infectious smallpox incidence in Abakaliki, Nigeria. Springer US 2011-04-26 2011 /pmc/articles/PMC7087638/ /pubmed/21519931 http://dx.doi.org/10.1007/s10729-011-9157-8 Text en © Springer Science+Business Media, LLC 2011 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
Shanmugam, Ramalingam
Spinned Poisson distribution with health management application
title Spinned Poisson distribution with health management application
title_full Spinned Poisson distribution with health management application
title_fullStr Spinned Poisson distribution with health management application
title_full_unstemmed Spinned Poisson distribution with health management application
title_short Spinned Poisson distribution with health management application
title_sort spinned poisson distribution with health management application
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7087638/
https://www.ncbi.nlm.nih.gov/pubmed/21519931
http://dx.doi.org/10.1007/s10729-011-9157-8
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