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Anxiety and depression in people with post-COVID condition: a Belgian population-based cohort study three months after SARS-CoV-2 infection

onset of the COVID-19 pandemic, most research has focused on the management of the acute symptoms of the disease. Yet some people tend to experience symptoms beyond the acute phase, defined as Post- ...

Sample preparation methods for elemental analysis in electronic cigarette aerosols: a critical review

e-cigarettes elemental analysis Abstract: In the last decade, e-cigarettes have been marketed as a less harmful alternative to classical tobacco smoking and are currently being used by millions of people. An ...

Linking animal and human health burden: challenges and opportunities

impact of poor animal health outcomes on human health represents a complex challenge. Using the disability-adjusted life year (DALY) metric as an endpoint, this article discusses how animal health outcomes ...

Unraveling social health inequalities during COVID-19 in Belgium: the vital role of data linkages

vulnerable population groups. Yet, considerable technical, administrative and data security issues have hindered the effectiveness of data linkages as a critical instrument during public health emergencies. ...

The wisdom layer: how to support evidence-informed policymaking

as a model of good practice in evidence-informed policymaking. Service:  Information sanitaire Gezondheidsinformatie Health information Full text language:  English Category:  Scientific posters, ...

The burden of psoriasis in Belgium, 2021

national data. As there is no single comprehensive data source on prevalence of psoriasis in Belgium, a critical appraisal of existing local and national data sources was conducted. We estimated the ...

Burden of inflammatory bowel disease in Belgium, 2020

for more accurate disease burden estimates to guide decision-making processes within the health sector. As a part of the Belgian national burden of disease study (BeBOD), this study aims to estimate the ...

Unravelling COVID-19 social mortality patterns using conditional inference tree algorithm

first-generation migrants, and deprived SE groups experienced higher odds of dying from COVID-19 compared to survival; living in collectivities was identified by the CIT as the strongest predictor followed by age ...

The knowledge layer: the role of key messages for translating data into meaning

users. We also aim to translate the raw data into meaningful key messages by consulting with internal and external experts. This interactive platform thus serves as a critical tool for translating complex ...

The information layer: shaping data into meaning with interactive tools

health data are contingent upon a robust analytical framework. This framework encompasses essential processes such as data cleaning, validation, and the critical evaluation of bias and missing data. ...

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