Ethnicity/Race And Economics In Covid-19: Meta-Regression Of Data From Counties In The New York Metropolitan Area

‘NYC residents from low-income communities have tested positive for COVID-19 antibodies at a higher-than-average rate, underscoring the disproportionate impact of the disease on people of colour, Governor Andrew Cuomo said on Wednesday’(20 May 2020) (https://www.reuters.com/article/us-health-coronavirus-usa-new-york/new-york-citys-low-income-minority-areas-hit-hardest-by-COVID-19-cuomo-says-idUSKBN22W2IG). Ethnicity/race and economics may affect prevalence/case fatality of COVID-19. To determine whether COVID-19 prevalence/fatality is modulated by ethnicity/race and economics, meta-regression of data from the counties in the New York (NY) metropolitan area was conducted.\n\nWe selected 31 counties in the NY metropolitan area (New York–Newark, NY-NJ-CT-PA Combined Statistical Area). (1) Prevalence/case-fatality rates of confirmed COVID-19 cases (20 May 2020) and (2) ethnicity/race and income/poverty estimates were obtained in each county. We performed random-effects meta-regression using OpenMetaAnalyst (http://www.cebm.brown.edu/openmeta/index.html). The covariates were listed in online supplemental table S1. Statistically significant (p=0.05) covariates in the univariable model were together entered into the multivariable model.\n\n### Supplementary data\n\n[jech-2020-214820supp001.pdf]\n\nResults of the meta-regression are summarised …