Negative binomial regression results for COVID-19 cases in New York City, 19 July 2020
| Neighbourhood | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 |
|---|---|---|---|---|---|
| Characteristics | IRR | IRR | IRR | IRR | IRR |
| Racial/Ethnic Composition (ref: Majority White) | |||||
| Majority Black | 1.63*** [1.42,1.86] | 1.56*** [1.35,1.80] | 1.18* [1.02,1.38] | 0.97 [0.88,1.07] | 0.97 [0.88,1.07] |
| Majority Hispanic | 2.10*** [1.81,2.43] | 1.93*** [1.65,2.25] | 1.34** [1.11,1.62] | 0.93 [0.82,1.06] | 0.96 [0.85,1.09] |
| Other | 1.51*** [1.34,1.71] | 1.47*** [1.30,1.65] | 1.14* [1.01,1.28] | 1.03 [0.94,1.12] | 1.01 [0.92,1.11] |
| Percentage Poor | 1.06* [1.01,1.12] | 0.94** [0.91,0.98] | |||
| Percentage of Household Income>$200K | 0.80*** [0.72,0.88] | 0.93 [0.84,1.04] | |||
| Percentage of Workers In Essential Occupations | 1.29*** [1.25,1.33] | 1.25*** [1.18,1.33] |
*p<0.05, **p<0.01, ***p<0.001.
All models adjusted for proportion age 65 years and older, COVID-19 testing rate, population size and ZIP code latitude and longitude coordinates. Percentage poor, percentage household Income>$200K and percentage workers in essential industries were rescaled such that a unit change reflects a 10 percentage point change.