Disability weights for infectious diseases in four European countries: comparison between countries and across respondent characteristics.

ABSTRACT: Background:In 2015, new disability weights (DWs) for infectious diseases were constructed based on data from four European countries. In this paper, we evaluated if country, age, sex, disease experience status, income and educational levels have an impact on these DWs. Methods:We analyzed paired comparison responses of the European DW study by participants' characteristics with separate probit regression models. To evaluate the effect of participants' characteristics, we performed correlation analyses between countries and within country by respondent characteristics and constructed seven probit regression models, including a null model and six models containing participants' characteristics. We compared these seven models using Akaike Information Criterion (AIC). Results:According to AIC,

SUBMITTER: Maertens de Noordhout C 

PROVIDER: S-EPMC5881674 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature