Predicting Covid-19 infection and death rates among E.U. minority populations in the absence of racially disaggregated data through the use of US data comparisons.

Background The E.U.'s lack of racially disaggregated data impedes the formulation of effective interventions, and crises such as Covid-19 may continue to impact minorities more severely. Our predictive model offers insight into the disparate ways in which Covid-19 has likely impacted E.U. minorities...

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Publicado en:European Journal of Public Health Vol. 34; no. 1; pp. 176 - 181
Autores principales: Dimeglio, Paola Cecchi, Fullilove, Robert E, Cecchi, Catherine, Cabon, Yann, Rosenberg, Jessica
Formato: pictorial research Journal Article
Publicado: Oxford University Press / USA Feb2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Feb2024
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      pub: Oxford University Press / USA
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        10.1093/eurpub/ckad164
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        atl: Predicting Covid-19 infection and death rates among E.U. minority populations in the absence of racially disaggregated data through the use of US data comparisons.
      aug:
        au:
          Dimeglio, Paola Cecchi
          Fullilove, Robert E
          Cecchi, Catherine
          Cabon, Yann
          Rosenberg, Jessica
        affil: Harvard Law School (Center on the Legal Profession) and Harvard Kennedy School (Women and Public Policy), Harvard University , Cambridge, MA, USA
      sug:
        subj:
          COVID-19 Mortality
          Minority Groups European Union
          Race Factors
          COVID-19 Ethnology
          Mortality Trends
          COVID-19 Trends
          European Union
          United States
          Human
          Prediction Models
          Social Determinants of Health
          Comparative Studies
          Descriptive Statistics
      ab: Background The E.U.'s lack of racially disaggregated data impedes the formulation of effective interventions, and crises such as Covid-19 may continue to impact minorities more severely. Our predictive model offers insight into the disparate ways in which Covid-19 has likely impacted E.U. minorities and allows for the inference of differences in Covid-19 infection and death rates between E.U. minority and non-minority populations. Methods Data covering Covid-19, social determinants of health and minority status were included from 1 March 2020 to 28 February 2021. A systematic comparison of US and E.U. states enabled the projection of Covid-19 infection and death rates for minorities and non-minorities in E.U. states. Results The model predicted Covid-19 infection rates with 95–100% accuracy for 23 out of 28 E.U. states. Projections for Covid-19 infection and mortality rates among E.U. minority groups illustrate parallel trends to US rates. Conclusions Disparities in Covid-19 infection and death rates by minority status likely exist in patterns similar to those observed in US data. Policy Implications : Collecting data by race/ethnicity in the E.U. would help document health disparities and craft more targeted health interventions and mitigation strategies.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        Journal Article
      ougenre: Article
    language: English
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