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A stochastic model for head lice infections.
Stone, Patricia; Wilkinson-Herbots, Hilde; Isham, Valerie.
Afiliación
  • Stone P; Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK. pat@stats.ucl.ac.uk
J Math Biol ; 56(6): 743-63, 2008 Jun.
Article en En | MEDLINE | ID: mdl-17943288
ABSTRACT
We investigate the dynamics of head lice infections in schools, by considering a model for endemic infection based on a stochastic SIS (susceptible-infected-susceptible) epidemic model, with the addition of an external source of infection. We deduce a range of properties of our model, including the length of a single outbreak of infection. We use the stationary distribution of the number of infected individuals, in conjunction with data from a recent study carried out in Welsh schools on the prevalence of head lice infections, and employ maximum likelihood methods to obtain estimates of the model parameters. A complication is that, for each school, only a sample of the pupils was checked for infection. Our likelihood function takes account of the missing data by incorporating a hypergeometric sampling element. We arrive at estimates of the ratios of the "within school" and "external source" transmission rates to the recovery rate and use these to obtain estimates for various quantities of interest.
Asunto(s)
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Bases de datos: MEDLINE Asunto principal: Infestaciones por Piojos / Pediculus / Dermatosis del Cuero Cabelludo / Brotes de Enfermedades / Modelos Estadísticos Límite: Adolescent / Animals / Child / Child, preschool / Humans País/Región como asunto: Europa Idioma: En Revista: J Math Biol Año: 2008 Tipo del documento: Article País de afiliación: Reino Unido
Buscar en Google
Bases de datos: MEDLINE Asunto principal: Infestaciones por Piojos / Pediculus / Dermatosis del Cuero Cabelludo / Brotes de Enfermedades / Modelos Estadísticos Límite: Adolescent / Animals / Child / Child, preschool / Humans País/Región como asunto: Europa Idioma: En Revista: J Math Biol Año: 2008 Tipo del documento: Article País de afiliación: Reino Unido