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1.
Epidemiol Infect ; 144(12): 2527-39, 2016 09.
Article in English | MEDLINE | ID: mdl-27483376

ABSTRACT

Insights into transmission dynamics of enteropathogens in children attending daycare are limited. Here we aimed at identifying daycare centre (DCC) characteristics associated with time-clustered occurrence of enteropathogens in DCC-attending children. For this purpose, we used the KIzSS network, which comprises 43 DCCs that participated in infectious disease surveillance in The Netherlands during February 2010-February 2013. Space-time scan statistics were used to identify clusters of rotavirus, norovirus, astrovirus, Giardia lamblia and Cryptosporidium spp. in a two-dimensional DCC characteristic space constructed using canonical correlation analysis. Logistic regression models were then used to further identify DCC characteristics associated with increased or decreased odds for clustering of enteropathogens. Factors associated with increased odds for enteropathogen clustering in DCCs were having indoor/outdoor paddling pools or sandpits, owning animals, high numbers of attending children, and reporting outbreaks to local health authorities. Factors associated with decreased odds for enteropathogen clustering in DCCs were cleaning child potties in designated waste disposal stations, cleaning vomit with chlorine-based products, daily cleaning of toys, extra cleaning of toys during a suspected outbreak, and excluding children with gastroenteritis. These factors provide targets for reducing the burden of gastrointestinal morbidity associated with time-clustered occurrence of major enteropathogens in DCC attendees.


Subject(s)
Child Day Care Centers/statistics & numerical data , Disease Outbreaks , Gastroenteritis/epidemiology , Astroviridae/physiology , Astroviridae Infections/epidemiology , Astroviridae Infections/virology , Caliciviridae Infections/epidemiology , Caliciviridae Infections/virology , Child Day Care Centers/standards , Child, Preschool , Cluster Analysis , Cryptosporidiosis/epidemiology , Cryptosporidium/physiology , Gastroenteritis/parasitology , Gastroenteritis/virology , Giardia lamblia/physiology , Giardiasis/epidemiology , Humans , Infant , Netherlands/epidemiology , Norovirus/physiology , Prevalence , Risk Factors , Rotavirus/physiology , Rotavirus Infections/epidemiology , Rotavirus Infections/virology
2.
Epidemiol Infect ; 143(13): 2707-20, 2015 Oct.
Article in English | MEDLINE | ID: mdl-25592679

ABSTRACT

The child day-care centre (DCC) is often considered as one risk factor for gastroenteritis (GE) rather than a complex setting in which the interplay of many factors may influence the epidemiology of GE. This study aimed to identify DCC-level risk factors for GE and major enteropathogen occurrence. A dynamic network of 100 and 43 DCCs participated in a syndromic and microbiological surveillance during 2010-2013. The weekly incidence of GE events and weekly prevalence of five major enteropathogens (rotavirus, norovirus, astrovirus, Giardia lamblia, Cryptosporidium hominis/parvum) were modelled per DCC using mixed-effects negative binomial/Poisson regression models. Sixteen hundred children were surveyed up to 3 years, during which 1829 GE episodes were reported and 5197 faecal samples were analysed. Identified risk factors were: large DCC capacity, crowding, having animals, nappy changing areas, sandpits, paddling pools, cleaning potties in normal sinks, cleaning vomit with paper towels (but without cleaner), mixing of staff between child groups, and staff members with multiple daily duties. Protective factors were: disinfecting fomites with chlorine, cleaning vomit with paper towels (and cleaner), daily cleaning of bed linen/toys, cohorting and exclusion policies for ill children and staff. Targeting these factors may reduce the burden of DCC-related GE.


Subject(s)
Child Day Care Centers , Disease Transmission, Infectious/prevention & control , Disease Transmission, Infectious/statistics & numerical data , Gastroenteritis/epidemiology , Gastroenteritis/microbiology , Animals , Child, Preschool , Disease Outbreaks , Feces/microbiology , Humans , Incidence , Infant , Infant, Newborn , Infection Control/methods , Netherlands/epidemiology , Population Surveillance , Prevalence , Risk Factors , Surveys and Questionnaires
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