COVID-19 Konulu Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1930
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Article Citation - WoS: 8Citation - Scopus: 11Workers' Individual and Dyadic Coping With the Covid-19 Health Emergency: a Cross Cultural Study(Sage, 2022-09-16) Donato, Silvia; Brugnera, Agostino; Manzi, Claudia; Reverberi, Eleonora; Aksu, Ayça; Molgora, Sara; Adorni, Roberta; Morrissey, SuzyThe aim of this study was to examine workers' psychological distress during the COVID-19 pandemic as a function of their individual coping, dyadic coping, and work-family conflict. We also tested the moderating role of gender and culture in these associations. To achieve this aim, we run HLM analyses on data from 1521 workers cohabiting with a partner, coming from six countries (Italy, Spain, Malta, Cyprus, Greece, and Russia) characterized by various degrees of country-level individualism/collectivism. Across all six countries, findings highlighted that work-family conflict as well as the individual coping strategy social support seeking were associated with higher psychological distress for workers, while the individual coping strategy positive attitude and common dyadic coping were found to be protective against workers' psychological distress. This latter association, moreover, was stronger in more individualistic countries.Article Citation - WoS: 44Citation - Scopus: 49Population Density Index and Its Use for Distribution of Covid-19: a Case Study Using Turkish Data(Elsevier, 2021-02-01) Başer, OnurSince March 2020, many countries around the world have been experiencing a large outbreak of a novel coronavirus (2019-nCoV). Because there is a higher rate of contact between humans in cities with higher population weighted densities, Covid-19 spreads faster in these areas. In this study, we examined the relationship between population weighted density and the spread of Covid-19. Using data from Turkey, we calculated the elasticity of Covid-19 spread with respect to population weighted density to be 0.67 after controlling for other factors. In addition to the density, the proportion of people over 65, the per capita GDP, and the number of total health care workers in each city positively contributed to the case numbers, while education level and temperature had a negative effect. We suggested a policy measure on how to transfer health care workers from different areas to the areas with a possibility of wide spread.