Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2023Perovskite Semiconductor Nanocrystals for Multi-Junction Solar Cells. ; Nanocristaux semiconducteurs de Pérovskites pour cellules solaires multi-jonctioncitations
  • 2023Structural effects on the luminescence properties of CsPbI 3 nanocrystals7citations
  • 2022Covid-19-related stressors, mental disorders, depressive and anxiety symptoms: a cross-sectional, nationally-representative, face-to-face survey in Serbia19citations

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Petrozza, Annamaria
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Albaqami, Munirah, D.
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Leoncino, Luca
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Folpini, Giulia
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Terraneo, Giancarlo
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Cortecchia, Daniele
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Wong, E., Laine
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Pejovic Milovancevic, Milica
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Priebe, Stefan
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Knežević, Goran
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Maric, Nadja P.
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Supic, Zorica Terzic
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Mihić, Ljiljana
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Toskovic, Oliver
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2022

Co-Authors (by relevance)

  • Petrozza, Annamaria
  • Albaqami, Munirah, D.
  • Leoncino, Luca
  • Folpini, Giulia
  • Terraneo, Giancarlo
  • Cortecchia, Daniele
  • Wong, E., Laine
  • Pejovic Milovancevic, Milica
  • Priebe, Stefan
  • Knežević, Goran
  • Maric, Nadja P.
  • Supic, Zorica Terzic
  • Todorović, Jovana
  • Mihić, Ljiljana
  • Toskovic, Oliver
OrganizationsLocationPeople

article

Covid-19-related stressors, mental disorders, depressive and anxiety symptoms: a cross-sectional, nationally-representative, face-to-face survey in Serbia

  • Pejovic Milovancevic, Milica
  • Priebe, Stefan
  • Knežević, Goran
  • Maric, Nadja P.
  • Supic, Zorica Terzic
  • Todorović, Jovana
  • Mihić, Ljiljana
  • Toskovic, Oliver
  • Vukovic, Olivera
Abstract

<jats:title>Abstract</jats:title><jats:sec id="S2045796022000117_sec_a1"><jats:title>Aim</jats:title><jats:p>The Covid-19 pandemic may be associated with an increase in mental disorders and mental distress. However, there are no representative studies testing the impact of stressors directly related to Covid-19. We aimed to determine whether Covid-19-related stressors were associated with mental disorders, depressive and anxiety symptoms in the second year of the pandemic.</jats:p></jats:sec><jats:sec id="S2045796022000117_sec_a2" sec-type="methods"><jats:title>Method</jats:title><jats:p>This cross-sectional observational epidemiological survey was conducted from June to October 2021. We interviewed a representative sample of the adult population in Serbia (18–65 years) in the second year of the pandemic, at a time when large parts of the population had been affected by the pandemic in different ways. A multistage probabilistic household sampling of the adult population in 60 municipalities was used. Mental disorders were assessed by in-person interviews using the Mini International Neuropsychiatric Interview. Depressive and anxiety symptoms were measured by PHQ-9 and GAD-7 scales. Covid-19-related stressors (Sars-CoV-2 infection, the infection of a close relative, self-isolation and lack of protective equipment at work), as well as other stressors during the pandemic (not directly related to the risk of the infection), were measured. The associations with mental disorders, depressive and anxiety symptoms were explored through univariable and multivariable regression analyses.</jats:p></jats:sec><jats:sec id="S2045796022000117_sec_a3" sec-type="results"><jats:title>Results</jats:title><jats:p>In total, 1203 individuals (mean age 43.7 ± 13.6 years, 48.7% male) were interviewed. Most respondents (67.8%) of the sample had already experienced Covid-19-related stressors (20.1% had Sars-CoV-2 infection; 43.2% had a close relative member who had Covid-19; 28.2% reported lack of appropriate protection; 27.5% had been quarantined) and about 50% had already been vaccinated. The prevalence of any mental disorder was 15.2% (95% CI 13.2–17.2): mood disorders 4.6%, anxiety disorders 4.3% and substance use disorders 8.0%. Mean PHQ-9 was 3.2 ± 3.8 and GAD-7 was 2.1 ± 3.1. In this study, one Covid-19 stressor, i.e. lack of protective equipment, was weakly associated with a greater frequency of anxiety disorders (<jats:italic>p</jats:italic> = 0.023), while the other stressors had significant associations with several groups of mental disorders and symptom levels.</jats:p></jats:sec><jats:sec id="S2045796022000117_sec_a4" sec-type="conclusions"><jats:title>Conclusions</jats:title><jats:p>Our study did not provide any evidence that the prevalence of mental disorders exceeds the range of pre-pandemic data reported in the literature. Covid-related stressors, although frequently reported, did not dramatically influence the prevalence of mental disorders. The provision of the appropriate equipment at workplaces might lead to the reduction of anxiety disorders.</jats:p></jats:sec>

Topics
  • size-exclusion chromatography
  • chemical ionisation