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Related Concept Videos

Bias in Epidemiological Studies01:29

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Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
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The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
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Relative Risk01:12

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Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
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Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
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Association between Racial Residential Segregation and COVID-19 Mortality.

Suresh Nath Neupane1, Erin Ruel2

  • 1Urban Studies Institute, Andrew Young School of Policy Studies, Georgia State University, Atlanta, GA, USA. sneupane2@gsu.edu.

Journal of Urban Health : Bulletin of the New York Academy of Medicine
|September 15, 2023
PubMed
Summary
This summary is machine-generated.

Racial residential segregation significantly increased COVID-19 mortality rates in the US. This association persisted across all racial groups, highlighting segregation

Keywords:
COVID-19 mortalityRacial residential segregationStructural disparities

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Area of Science:

  • Public Health
  • Epidemiology
  • Sociology

Background:

  • Racial residential segregation is a persistent feature of US society.
  • Understanding its impact on health disparities is crucial.
  • The COVID-19 pandemic exacerbated existing health inequities.

Purpose of the Study:

  • To investigate the relationship between racial residential segregation and COVID-19 mortality in the early US epidemic.
  • To analyze how segregation influences mortality risk across different racial groups.

Main Methods:

  • Utilized data from the CDC and county health rankings project for 8,670,781 individuals across 1488 US counties.
  • Employed hierarchical logistic regression models to assess COVID-19 deaths.
  • Included individual and county-level predictors in the analysis.

Main Results:

  • Increased racial residential segregation was associated with higher COVID-19 mortality rates.
  • Black and Asian individuals faced higher mortality risks compared to Whites, even after controlling for segregation.
  • Hispanic and other racial groups had lower mortality risks than Whites, controlling for segregation.
  • The effect of segregation on COVID-19 mortality was consistent across all racial groups.

Conclusions:

  • Racial residential segregation is a significant determinant of COVID-19 mortality.
  • Segregation contributes to racial disparities in COVID-19 outcomes.
  • Public health interventions should address residential segregation to mitigate health inequities.