About: Using Dynamic Stochastic Modelling to Estimate Population Risk Factors in Infectious Disease: The Example of FIV in 15 Cat Populations

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About: Using Dynamic Stochastic Modelling to Estimate Population Risk Factors in Infectious Disease: The Example of FIV in 15 Cat Populations Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Using Dynamic Stochastic Modelling to Estimate Population Risk Factors in Infectious Disease: The Example of FIV in 15 Cat Populations
Creator	Fouchet, David Pontier, Dominique Poulet, Hervé Sauvage, Frank Guiserix, Micheline Leblanc, Guillaume
Source	PMC
abstract	BACKGROUND: In natural cat populations, Feline Immunodeficiency Virus (FIV) is transmitted through bites between individuals. Factors such as the density of cats within the population or the sex-ratio can have potentially strong effects on the frequency of fight between individuals and hence appear as important population risk factors for FIV. METHODOLOGY/PRINCIPAL FINDINGS: To study such population risk factors, we present data on FIV prevalence in 15 cat populations in northeastern France. We investigate five key social factors of cat populations; the density of cats, the sex-ratio, the number of males and the mean age of males and females within the population. We overcome the problem of dependence in the infective status data using sexually-structured dynamic stochastic models. Only the age of males and females had an effect (p = 0.043 and p = 0.02, respectively) on the male-to-female transmission rate. Due to multiple tests, it is even likely that these effects are, in reality, not significant. Finally we show that, in our study area, the data can be explained by a very simple model that does not invoke any risk factor. CONCLUSION: Our conclusion is that, in host-parasite systems in general, fluctuations due to stochasticity in the transmission process are naturally very large and may alone explain a larger part of the variability in observed disease prevalence between populations than previously expected. Finally, we determined confidence intervals for the simple model parameters that can be used to further aid in management of the disease.
has issue date	2009-10-16(xsd:dateTime)
bibo:doi	10.1371/journal.pone.0007377
bibo:pmid	19888418
has license	cc-by
sha1sum (hex)	600e8fba699669f496224f1ab80caa3df030a77a
schema:url	https://doi.org/10.1371/journal.pone.0007377
resource representing a document's title	Using Dynamic Stochastic Modelling to Estimate Population Risk Factors in Infectious Disease: The Example of FIV in 15 Cat Populations
has PubMed Central identifier	PMC2770169
has PubMed identifier	19888418
schema:publication	PLoS One
resource representing a document's body	covid:600e8fba699669f496224f1ab80caa3df030a77a#body_text
is schema:about of	named entity 'FIV' named entity 'EXAMPLE' named entity 'POPULATIONS' named entity 'STRONG' named entity 'DENSITY' named entity 'RATIO' named entity 'POPULATION RISK' named entity 'FELINE IMMUNODEFICIENCY VIRUS' named entity 'CAT' named entity 'TRANSMITTED' named entity 'POPULATION' named entity 'HAVE' named entity 'SEX' named entity 'FIV' named entity 'BACKGROUND' named entity 'EFFECTS' named entity 'POPULATIONS' named entity 'CAT' named entity 'FIV' named entity 'INFECTIOUS DISEASE' named entity 'MODELLING' named entity 'RISK FACTORS' named entity 'STOCHASTIC' named entity 'USING' named entity 'POPULATION RISK' named entity 'IMPORTANT' named entity 'CATS' named entity 'APPEAR' named entity 'FIGHT' named entity 'DYNAMIC' named entity 'ESTIMATE' named entity 'BITES' named entity 'FREQUENCY' named entity 'INDIVIDUALS' named entity 'RISK FACTORS' named entity 'NATURAL' covid:arg/600e8fba699669f496224f1ab80caa3df030a77a named entity 'Risk Factors' named entity 'Feline Immunodeficiency Virus' named entity 'FIV' named entity 'Stochastic Modelling' named entity 'FIV' named entity 'confidence region' named entity 'FIV' named entity 'LRT' named entity 'confidence region' named entity 'vector' named entity 'FIV' named entity 'maximum likelihood' named entity 'FIV' named entity 'FIV' named entity 'infection' named entity 'AIC' named entity 'pig' named entity '0.01' named entity 'virus' named entity 'Matlab' named entity 'metapopulations' named entity 'host-parasite interactions' named entity 'FIV' named entity 'FIV' named entity 'risk factors' named entity 'infection' named entity 'Ruppes' named entity 'Markovian processes' named entity 'domestic cat' named entity 'virus' named entity 'France' named entity 'disease prevalence' named entity 'Model selection' named entity '0.45' named entity 'likelihood ratio statistics' named entity 'FIV' named entity 'FIV' named entity 'Model selection' named entity 'confidence region'

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