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  • Bibliography for the MH PRU's rapid review and international document analysis of impact of Covid-19 on Mental Health care
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  • Raw data, syntax, output and codebooks of Studies 1-4 of replication effort.
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  • Data acquired from an online survey, conducted from 5-20 May 2020. This data aimed to evaluate psychological wellbeing among Greater Jakarta Area residents using DASS-21, where we implemented linear regression to estimate such score using sociodemographic data. We also addressed misconception regarding COVID-19 and estimate correct / incorrect responses using Poisson regression models. Finally, we confirm the presence of communities with different commuting tendency using a graph-based analysis.
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  • Objective to investigate the role of social and laboral stress in the functionality and adaptability of adults screened as ADH(+) by the Adult ADHD Self report Scale in different professional settings. Design. We conducted an online survey with convenience sampling about economic and academic performances (dysfunctionality) and self-perception of health problems and work-related subjective suffering (maladaptation), following a screening for ADHD using Adult Self Report Scale (ASRS). The subjects were naïve about the aim of this assessment. Among analyses, we realized a random stratified subsampling to mitigate the bias by convenience sampling. Main Findings. There were 2173 participants, of which 28.06% were ADH(+). Even regarding only subjects with extreme ASRS scores (2.5), ADH(+) and (-) groups did not shown difference in functionality. We grouped subjects by professional career. The highest ADH(+) prevalence was found in publicity, where almost no difference in subjective suffering between the groups was observed. Conclusions. High ADH(+) prevalence can be due convenience recruitment. Our results indicate that ADH(+) people can show equivalent functionality and adaptability than ADH(-) ones when they live in their preferred labor/social settings, arguing that dysfunctionality and mental suffering in adult ADHD could be secondary to social stress.
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  • Background: Aging and retirement are a passaging to a new course of life for veterans. Population aging has made significant changes in the composition of families and it affects the health of the family members. The role of army grandparents in relationships with their adult children is important in providing for their living needs and the need for research into grandparent-adult children interactions during retirement. There was no Iranian version of an instrument to measure this interaction. Therefore, the study was aimed to evaluate the psychometric properties of the Persian version of the Perceived Parenting Roles Inventory (PPRI-2019). Methods. The process of translating was conducted based on WHO’s guidance of instruments translation and adaptation. A total of 251 grandparents were randomly selected from Iranian Veterans Association. The PPRI and demographic questionnaire were used to gather data at the end of 2019. The scale structure was evaluated by using confirmatory factor analysis (CFA). Internal consistency was assessed by Cronbach’s alpha and the optimal cut-off points were obtained by calculating the area under the curve (ROC). Data were analyzed using IBM-SPSS version 26 and AMOS version 24 Results: The construct validity of PPRI based on CFA showed that the two subscales explained a total of 73.017 % of the variance. The PPRI scale demonstrated excellent reliability and the Cronbach’s alpha obtained 0.792 for the entire scale (p< 0.000). The optimal cut-off point of PPRI was 19.50, with a sensitivity of 100%, a 1-specificity of 0.127. Conclusions: Based on the results, the Persian version of PPRI is a valid and reliable tool that can be utilized by other researchers to measure perceived parenting roles. But further investigations are suggested.
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  • Research data
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  • This research aims to provide an understanding of how absorptive capacity occurs in startups, which maintains interorganizational relationships with large companies. The research used a qualitative multiple case study design and the investigation of seven startups constituted the study corpus. The data were analyzed using statistical analysis, content analysis, and business process analysis. In the study, the software Iramuteq (Interface of R pour les Analyzes Multidimensionnelles de Textes et de Questionnaires) was used as a tool to aid the qualitative analysis of textual data. In a complementary way, the SPSS Statistics 17 software was used to treat the survey data.
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  • This data set contains the source files of the SeGa4Biz framework including metamodels, model instances, and transformation rules.
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  • The outbreak of coronavirus and the infectious disease it causes (COVID-19) have taken different paths around the world, with countries experiencing different rates of infection, case prevalence and mortality. This simultaneous yet heterogenous process presents a natural experiment for understanding some of the reasons for such different experiences of the same shock. This paper looks at the privatization of healthcare as one key determinant of this pattern. We use a cross-section dataset covering 147countries with the latest available data. Controlling for per capita income, health inequality and several other control variables, we find that a 10% increase in private health expenditure relates to a 4.3% increase in COVID-19 cases and a 4.9% increase in COVID-19 related mortality. Globalization also has a small positive effect on COVID-19 prevalence, while higher hospital capacity (in beds per 1,000 people) is significant in lowering COVID-19 mortality. The findings suggest caution regarding policies which privatize healthcare systems in order to boost efficiency or growth in the short-run, as these reduce countries' long-term preparedness for dealing with pandemics.
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  • Raw images from western blots, immunofluorescence microscopy and EM.
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    • Slides
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