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Monika Szelag

Researcher at Danube University Krems

Publications -  11
Citations -  247

Monika Szelag is an academic researcher from Danube University Krems. The author has contributed to research in topics: Environmental science & Geology. The author has an hindex of 4, co-authored 6 publications receiving 107 citations.

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Prevalence of mental disorders in young refugees and asylum seekers in European Countries: a systematic review.

TL;DR: The prevalence estimates suggest that specialized mental health care services for the most vulnerable refugee and asylum-seeking populations are needed, and the highly heterogeneous evidence base could be improved by international, methodologically comparable studies with sufficiently large sample sizes drawn randomly among specific refugee populations.
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The performance of anthropometric tools to determine obesity: a systematic review and meta-analysis.

TL;DR: No evidence supports that WHR and WHtR are more suitable than BMI or WC to assess body fat, but BMI and WC might still have a role as initial tools for assessing individuals for excess adiposity until new evidence emerges.
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Evidence-based occupational health and safety interventions: a comprehensive overview of reviews

TL;DR: This is the first comprehensive overview of behavioural, relational and mixed interventions and their effectiveness in preventing occupational injuries and diseases and provides policymakers with an important basis for making evidence-based decisions on interventions in this field.
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German language questionnaires for assessing implementation constructs and outcomes of psychosocial and health-related interventions: a systematic review.

TL;DR: This work identified 31 unique instruments available for the assessment of implementation science constructs in German-speaking countries measuring the implementation of interventions in public health and health care settings in general and assessed their psychometric properties.
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Analyzing Local Carbon Dioxide and Nitrogen Oxide Emissions From Space Using the Divergence Method: An Application to the Synthetic SMARTCARB Dataset

TL;DR: In this article , the authors adapt the recently developed divergence method to derive both CO2 and nitrogen oxide (NO x ) emissions of cities and power plants from a CO2M satellite constellation by using synthetic observations from the COSMO-GHG model.