TY - JOUR
T1 - Estimating the incidence of subclinical infections with Legionella Pneumonia using data augmentation
T2 - Analysis of an outbreak in the Netherlands
AU - Nagelkerke, Nico J.D.
AU - Boshuizen, Hendriek C.
AU - de Melker, Hester E.
AU - Schellekens, Joop F.P.
AU - Peeters, Marcel F.
AU - Conyn-van Spaendonck, Marina
PY - 2003/12/30
Y1 - 2003/12/30
N2 - Infections with Legionella bacteria can cause a potentially lethal form of pneumonia known as legionnaires' disease. In 1999 a major outbreak, causing 31 deaths, occurred among visitors and exhibitors of a consumer fair in The Netherlands. The epidemiology of subclinical infections is largely unknown, as there is no reliable method to diagnose such infections. To explore the incidence of subclinical infections, IgG and IgM antibody levels among exhibitors were compared to those among a representative sample of the Dutch population. As exhibitors were assumed to comprise both infected and uninfected individuals, their antibody levels were modelled as a mixture distribution. As infected individuals are expected to cluster around a point source, the spatial aspect of the spread of infections was taken into account. To estimate the distribution of antibody levels among infected individuals and to impute infection status among exhibitors, data augmentation was used. Subclinical infection appeared to be very common and its frequency declined with the distance from the putative source of the outbreak.
AB - Infections with Legionella bacteria can cause a potentially lethal form of pneumonia known as legionnaires' disease. In 1999 a major outbreak, causing 31 deaths, occurred among visitors and exhibitors of a consumer fair in The Netherlands. The epidemiology of subclinical infections is largely unknown, as there is no reliable method to diagnose such infections. To explore the incidence of subclinical infections, IgG and IgM antibody levels among exhibitors were compared to those among a representative sample of the Dutch population. As exhibitors were assumed to comprise both infected and uninfected individuals, their antibody levels were modelled as a mixture distribution. As infected individuals are expected to cluster around a point source, the spatial aspect of the spread of infections was taken into account. To estimate the distribution of antibody levels among infected individuals and to impute infection status among exhibitors, data augmentation was used. Subclinical infection appeared to be very common and its frequency declined with the distance from the putative source of the outbreak.
KW - Bayesian methods
KW - Data augmentation
KW - Legionella spp
KW - Mixture analysis
KW - Spatial statistics
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U2 - 10.1002/sim.1670
DO - 10.1002/sim.1670
M3 - Article
C2 - 14673933
AN - SCOPUS:0346888589
SN - 0277-6715
VL - 22
SP - 3713
EP - 3724
JO - Statistics in Medicine
JF - Statistics in Medicine
IS - 24
ER -