SrasV1, Main, Exploration, bibRecord, 002039

Spinned Poisson distribution with health management application

Identifieur interne : 002039 ( Main/Exploration ); précédent : 002038; suivant : 002040

Spinned Poisson distribution with health management application

Auteurs : Ramalingam Shanmugam

Source :

Health Care Management Science [ 1386-9620 ] ; 2011.

RBID : PMC:7087638

Descripteurs français

KwdFr :
- Biais de sélection, Fonctions de vraisemblance, Humains, Incidence, Loi de Poisson, Maladies transmissibles (épidémiologie), Nigeria (épidémiologie), Surveillance de la population (), Variole (épidémiologie), Épidémies ().
MESH :
- épidémiologie : Maladies transmissibles, Nigeria, Variole.
- Biais de sélection, Fonctions de vraisemblance, Humains, Incidence, Loi de Poisson, Surveillance de la population, Épidémies.
Wicri :
- geographic : Nigeria.

English descriptors

KwdEn :
- Communicable Diseases (epidemiology), Epidemics (prevention & control), Epidemics (statistics & numerical data), Humans, Incidence, Likelihood Functions, Nigeria (epidemiology), Poisson Distribution, Population Surveillance (methods), Selection Bias, Smallpox (epidemiology).
MESH :
- geographic , epidemiology : Nigeria.
- epidemiology : Communicable Diseases, Smallpox.
- methods : Population Surveillance.
- prevention & control : Epidemics.
- statistics & numerical data : Epidemics.
- Humans, Incidence, Likelihood Functions, Poisson Distribution, Selection Bias.

Abstract

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.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7087638

DOI: 10.1007/s10729-011-9157-8
PubMed: 21519931
PubMed Central: 7087638

Affiliations:

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<front><div type="abstract" xml:lang="en"><p>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 <italic>spinned Poisson</italic>
 distribution. The statistical properties of the spinned Poisson distribution are developed and illustrated using infectious smallpox incidence in Abakaliki, Nigeria.</p>
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Serveur d'exploration SRAS

Spinned Poisson distribution with health management application

Spinned Poisson distribution with health management application

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki

	Serveur d'exploration SRAS
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