Search results - 47 results
COVID-19 mortality statistics: a comparative study of epidemiological surveillance data and death certificates in 2020 in Belgium
delay in availability of the cause of death database (COD). Understanding differences and limitations in both databases is crucial for contextualising COVID-19 mortality statistics. This study assesses ...
Magnitude and determinants of excess total, age-specific and sex-specific all-cause mortality in 24 countries worldwide during 2020 and 2021: results on the impact of the COVID-19 pandemic from the C-MOR project.
using simple and multilevel regression models. RESULTS: Excess cumulative mortality for both 2020 and 2021 was found in Austria, Brazil, Belgium, Cyprus, England and Wales, Estonia, France, Georgia, ...
Methods for meta-analysis and meta-regression of binomial data: concepts and tutorial with Stata command metapreg
essential in understanding statistical methods for meta-analysis of binomial proportions and describe the models implemented in metapreg. We then describe and demonstrate the models in metapreg using data ...
Unravelling demographic and socioeconomic patterns of COVID-19 death and other causes of death: results of an individual-level analysis of exhaustive cause of death data in Belgium, 2020
OCOD. Methods Two complementary statistical methods were used. First, multivariable logistic regression models providing odds ratios and 95% confidence intervals were fitted for the three study outcomes. ...
The potential impact fraction of population weight reduction scenarios on non-communicable diseases in Belgium: application of the g-computation approach
based on a weight loss of 10%, 4) a reduction of the waist circumference (WC) to half of the height among all people with a WC:height ratio greater than 0.5. Regression models were adjusted for ...
Screening the capability of vibrational spectroscopic techniques for simultaneous quantification of vitamins B1, B6, and B12 in a powder blend
ingredient. The statistical indicators of the models (interpretation rate (R2X and R2Y), predictive ability (Q2 and RMSEP) and accuracy (RMSEE)) demonstrated their suitability for in-process estimation of ...
Predicting the severity of the grass pollen season and the effect of climate change in Northwest Europe
guidance addressing these questions. We propose two previously unexplored approaches for forecasting the severity of the grass pollen season on the basis of statistical and mechanistic models. The results ...
Variability in the association between long-term exposure to ambient air pollution and mortality by exposure assessment method and covariate adjustment: A census-based country-wide cohort study
using two exposure methods; Europe-wide hybrid land use regression (LUR) models [100x100m], and Belgium-wide interpolation-dispersion (RIO- IFDM) models [25x25m]. We used Cox proportional hazards models ...
Burden of disease of dietary exposure to four chemical contaminants in Denmark, 2019
Disability-Adjusted Life Years (DALY s) attributable to dietary exposure to the chemicals. In all models, we propagated uncertainty around the input parameters through the calculations using Monte Carlo simulation. We ...
Mapping abundance distributions of allergenic tree species in urbanized landscapes: A nation-wide study for Belgium using forest inventory and citizen science data
statistical regressions to model the relationships between abundance, the habitat suitability predicted by the SDM s, and additional vegetation cover covariates. The combination of forest inventory data with ...