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...
| Publicado en: | European Journal of Public Health Vol. 34; no. 1; pp. 176 - 181 |
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| Autores principales: | , , , , |
| Formato: | pictorial research Journal Article |
| Publicado: |
Oxford University Press / USA
Feb2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=175366333&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 175366333 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11011262 BHW jtl: European Journal of Public Health issn: 11011262 maglogo: N pubinfo: dt: Feb2024 vid: 34 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 175366333 175366333 175366333 10.1093/eurpub/ckad164 175366333 ppf: 176 ppct: 5 formats: fmt: – @attributes: type: T – @attributes: type: P tig: 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 refInfo: holdings: @attributes: islocal: N |
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