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  1. Artikel ; Online: It Didn’t Go Away

    Simone Rambotti / Caroline Wolski / Kathryn Freeman Anderson

    COVID, Vol 3, Iss 27, Pp 370-

    The Political and Social Determinants of COVID-19 Mortality Rates across Counties in the United States

    2023  Band 380

    Abstract: Research over the last several years has demonstrated a wide variety of inequalities in the COVID-19 pandemic by socio-demographic characteristics, place, and political and religious ideology. In this study, by combining several county-level data sources, ...

    Abstract Research over the last several years has demonstrated a wide variety of inequalities in the COVID-19 pandemic by socio-demographic characteristics, place, and political and religious ideology. In this study, by combining several county-level data sources, we examine how the social conditions of counties across the United States relate to their differential COVID-19 mortality rates. We find that percent Black, percent Hispanic, and income inequality are all positively related to higher mortality rates at the county level. Moreover, the percentage of the population that voted for Trump in the 2020 election was a significant and substantively large predictor of higher mortality rates. We also include healthcare-related variables, but compared to the social circumstances of the pandemic, these effects are relatively small. These results indicate that the social conditions of areas are strong predictors of how counties have experienced the pandemic and where the greatest loss of life has occurred.
    Schlagwörter COVID-19 ; mortality ; political polarization ; social determinants of health ; Specialties of internal medicine ; RC581-951
    Sprache Englisch
    Erscheinungsdatum 2023-03-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: Extreme and Inconsistent

    Simone Rambotti / Ronald L. Breiger

    Socius, Vol

    A Case-Oriented Regression Analysis of Health, Inequality, and Poverty

    2020  Band 6

    Abstract: A methodological paradox characterizes macro-comparative research: it routinely violates the assumptions underlying its dominant method, multiple regression analysis. Comparative researchers have substantive interest in cases, but cases are largely ... ...

    Abstract A methodological paradox characterizes macro-comparative research: it routinely violates the assumptions underlying its dominant method, multiple regression analysis. Comparative researchers have substantive interest in cases, but cases are largely rendered invisible in regression analysis. Researchers seldom recognize the mismatch between the goals of macro-comparative research and the demands of regression methods, and sometimes they end up engaging in strenuous disputes over particular variable effects. A good example is the controversial relationship between income inequality and health. Here, the authors offer an innovative method that combines variable-oriented and case-oriented approaches by turning ordinary least squares regression models “inside out.” The authors estimate case-specific contributions to regression coefficient estimates. They reanalyze data on income inequality, poverty, and life expectancy across 20 affluent countries. Multiple model specifications are dependent primarily on two countries with values on the outcome that are extreme in magnitude and inconsistent with conventional theoretical expectations.
    Schlagwörter Social Sciences ; H ; Sociology (General) ; HM401-1281
    Thema/Rubrik (Code) 310
    Sprache Englisch
    Erscheinungsdatum 2020-02-01T00:00:00Z
    Verlag SAGE Publishing
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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