Abstract
Salmonella is a frequent cause of foodborne illness. However, since most symptomatic cases are not diagnosed, the true infection pressure is unknown. Furthermore, national surveillance systems have different sensitivities that limit inter-country comparisons. We have used recently developed methods for translating measurements of Salmonella antibodies into estimates of seroincidence: the frequency of infections including asymptomatic cases. This methodology was applied to cross-sectional collections of serum samples obtained from the general healthy population in three European countries. Denmark and The Netherlands had the lowest seroincidence (84169 infections/1000 person-years), whereas Poland had the highest seroincidence (547/1000 person-years). A Bayesian method for obtaining incidence rate ratios was developed; this showed a 6·3 (95% credibility interval 3·3-12·5) higher incidence in Poland than in Denmark which demonstrates that this methodology has a wider applicability for studies of surveillance systems and evaluation of control programmes.
| Originalsprog | Engelsk |
|---|---|
| Tidsskrift | Epidemiology and Infection |
| Vol/bind | 139 |
| Udgave nummer | 4 |
| Sider (fra-til) | 636-643 |
| Antal sider | 8 |
| ISSN | 0950-2688 |
| DOI | |
| Status | Udgivet - apr. 2011 |
| Udgivet eksternt | Ja |