Identifying immunity gaps for measles using Belgian serial serology data
Vaccine-preventable diseases, such as measles, have been re-emerging in countries with moderate to high vaccine uptake. It is increasingly important to identify and close immunity gaps and increase coverage of routine childhood vaccinations, including two doses of the measles-mumps-rubella vaccine (MMR). Here, we present a simple cohort model relying on a Bayesian approach to evaluate the evolution of measles seroprevalence in Belgium using the three most recent cross-sectional serological survey data collections (2002, 2006 and 2013) and information regarding vaccine properties. We find measl... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2022 |
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Schlagwörter: | Measles elimination / Bayesian MCMC / Serial serological survey data / Immunity goals |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26529449 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | http://hdl.handle.net/1942/38038 |