The burden of legionnaires’ disease in Belgium, 2013 to 2017 ...
Abstract Background Legionnaires’ disease (LD) is a severe bacterial infection causing pneumonia. Surveillance commonly underestimates the true incidence as not all cases are laboratory confirmed and reported to public health authorities. The aim of this study was to present indicators for the impact of LD in Belgium between 2013 and 2017 and to estimate its true burden in the Belgian population in 2017, the most recent year for which the necessary data were available. Methods Belgian hospital discharge data, data from three infectious disease surveillance systems (mandatory notification, sent... Mehr ...
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Dokumenttyp: | Datenquelle |
Erscheinungsdatum: | 2020 |
Verlag/Hrsg.: |
figshare
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Schlagwörter: | Medicine / Neuroscience / Sociology / FOS: Sociology / 19999 Mathematical Sciences not elsewhere classified / FOS: Mathematics / Cancer / Science Policy / Computational Biology |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-28970815 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://dx.doi.org/10.6084/m9.figshare.c.5145616.v1 |
Abstract Background Legionnaires’ disease (LD) is a severe bacterial infection causing pneumonia. Surveillance commonly underestimates the true incidence as not all cases are laboratory confirmed and reported to public health authorities. The aim of this study was to present indicators for the impact of LD in Belgium between 2013 and 2017 and to estimate its true burden in the Belgian population in 2017, the most recent year for which the necessary data were available. Methods Belgian hospital discharge data, data from three infectious disease surveillance systems (mandatory notification, sentinel laboratories and the national reference center), information on reimbursed diagnostic tests from the Belgian National Institute for Health and Disability Insurance and mortality data from the Belgian statistical office were used. To arrive at an estimate of the total number of symptomatic cases in Belgium, we defined a surveillance pyramid and estimated a multiplication factor to account for LD cases not captured ...