Die Sozialstruktur Deutschlands im internationalen Vergleich

Steuerwald, Christian

doi:10.1007/978-3-531-94101-1

Cited by 12 publications

(2 citation statements)

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“…This may be explained by the mechanics of social exclusion and stratification, such that employed persons are more likely to have a more differentiated social network than unemployed persons [71]. However, social exclusion and relative isolation caused by unemployment may lead to a more closely knit socio-spatial milieu [72][73][74]. Accordingly, we would expect that higher employment rates and lower unemployment rates are both correlated with a higher number of social interactions and reduced interpersonal proximities, consequently amplifying the potential spread of SARS-CoV-2.…”

Section: Ses and Built Environmentmentioning

confidence: 99%

A multimethod approach for county-scale geospatial analysis of emerging infectious diseases: a cross-sectional case study of COVID-19 incidence in Germany

et al. 2020

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Background: As of 13 July 2020, 12.9 million COVID-19 cases have been reported worldwide. Prior studies have demonstrated that local socioeconomic and built environment characteristics may significantly contribute to viral transmission and incidence rates, thereby accounting for some of the spatial variation observed. Due to uncertainties, non-linearities, and multiple interaction effects observed in the associations between COVID-19 incidence and socioeconomic, infrastructural, and built environment characteristics, we present a structured multimethod approach for analysing cross-sectional incidence data within in an Exploratory Spatial Data Analysis (ESDA) framework at the NUTS3 (county) scale. Methods: By sequentially conducting a geospatial analysis, an heuristic geographical interpretation, a Bayesian machine learning analysis, and parameterising a Generalised Additive Model (GAM), we assessed associations between incidence rates and 368 independent variables describing geographical patterns, socioeconomic risk factors, infrastructure, and features of the build environment. A spatial trend analysis and Local Indicators of Spatial Autocorrelation were used to characterise the geography of age-adjusted COVID-19 incidence rates across Germany, followed by iterative modelling using Bayesian Additive Regression Trees (BART) to identify and measure candidate explanatory variables. Partial dependence plots were derived to quantify and contextualise BART model results, followed by the parameterisation of a GAM to assess correlations. Results: A strong south-to-north gradient of COVID-19 incidence was identified, facilitating an empirical classification of the study area into two epidemic subregions. All preliminary and final models indicated that location, densities of the built environment, and socioeconomic variables were important predictors of incidence rates in Germany. The top ten predictor variables' partial dependence exhibited multiple non-linearities in the relationships between key predictor variables and COVID-19 incidence rates. The BART, partial dependence, and GAM results indicate that the strongest predictors of COVID-19 incidence at the county scale were related to community interconnectedness, geographical location, transportation infrastructure, and labour market structure.

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Section: Ses and Built Environmentmentioning

confidence: 99%

A multimethod approach for county-scale geospatial analysis of emerging infectious diseases: a cross-sectional case study of COVID-19 incidence in Germany

et al. 2020

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“…Der Rückgang institutionalisierter Beziehungen wird vom Anstieg anderer, zuvor wenig verbreiteter Formen des Familienlebens begleitet, so etwa Einelternfamilien, Stieffamilien, Patchworkfamilien oder ohne Trauschein zusammenlebende Familien (Jokinen und Kuronen 2011, S. 21). Gleichzeitig finden sich sowohl inner-als auch außereuropäisch erhebliche Differenzen im Blick auf das Ausmaß und die Anerkennung heterogener und ‚nicht-traditioneller' Lebens-und Familienformen (Steuerwald 2016) und damit der Bedeutung, die der biologisch begründeten zweigeschlechtlichen Kernfamilie zukommt.…”

Section: Elternschaftunclassified

Familie und verantwortete Elternschaft

Landhäußer

2020

Handbuch Familie

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Zusammenfassung ‚Verantwortete Elternschaft' bezeichnet seit mehr als 30 Jahren im sozial-und geisteswissenschaftlichen Fachdiskurs ein normatives Gefüge zum Eltern-Kind-Verhältnis. Vor diesem Hintergrund gilt es die Verhaltenserwartungen an Eltern in der aktuellen Familienleitbildforschung aus familiensoziologischer Sicht und auch aus katholisch-theologischer Perspektive zu beleuchten. Schließlich werden die Folgen der verstärkten gesellschaftlichen Thematisierung von ‚verantworteter Elternschaft' für die Soziale Arbeit eruiert.

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Einleitung

Steuerwald¹

2016

Klassiker Der Soziologie Der Künste

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Die Sozialstruktur Deutschlands im internationalen Vergleich

Cited by 12 publications

References 0 publications

A multimethod approach for county-scale geospatial analysis of emerging infectious diseases: a cross-sectional case study of COVID-19 incidence in Germany

A multimethod approach for county-scale geospatial analysis of emerging infectious diseases: a cross-sectional case study of COVID-19 incidence in Germany

Familie und verantwortete Elternschaft

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