HIV diagnoses

term estimate std.error statistic p.value
(Intercept) 0.983 0.302 3.252 0.001
boroughBrooklyn 0.297 0.281 1.060 0.289
boroughManhattan 3.091 0.331 9.332 0.000
boroughQueens -1.245 0.259 -4.811 0.000
boroughStaten Island -4.376 0.397 -11.016 0.000
genderMale 6.083 0.152 40.138 0.000
age20 - 29 9.600 0.262 36.576 0.000
age30 - 39 6.870 0.262 26.175 0.000
age40 - 49 4.627 0.262 17.627 0.000
age50 - 59 2.355 0.262 8.972 0.000
age60+ 0.427 0.262 1.626 0.104
mid_income 0.000 0.000 -17.851 0.000
term estimate std.error statistic p.value
(Intercept) 5.143 0.514 10.001 0.000
boroughBrooklyn 0.357 0.493 0.724 0.469
boroughManhattan 3.710 0.582 6.376 0.000
boroughQueens -1.494 0.454 -3.287 0.001
boroughStaten Island -5.251 0.698 -7.527 0.000
genderMale 7.299 0.266 27.425 0.000
raceAsian/Pacific Islander -3.628 0.421 -8.621 0.000
raceBlack 7.304 0.421 17.357 0.000
raceLatino/Hispanic 5.399 0.421 12.829 0.000
raceOther/Unknown -5.008 0.421 -11.900 0.000
mid_income 0.000 0.000 -12.197 0.000

Interpretation: HIV incidence among male are significantly higher than that among female, which can be explained by gender differences with respect to HIV/AIDS depend on patterns of disease transmission. HIV incidence in adults aged 20 to 29, 30 to 39, 40 to 49 and 50 to 59 are all significantly higher than young people aged 13 to 19. HIV incidence in Black and Latino/Hispanic population are significantly higher than that in white population. The effect of income is not significant.

Results

Model 1: HIV_diagnoses = 0.983 + 0.297I(borough = Brooklyn) + 3.091I(borough = Manhattan) - 1.245I(borough = Queens) - 4.376I(borough = Staten Island) + 6.083I(male) + 9.600I(age20-29) + 6.870I(age30-39) + 4.627I(age40-49) + 2.355I(age50-59) + 0.427I(age60+)

Model 2: HIV_diagnoses = 5.143 + 0.357I(borough = Brooklyn) + 3.710I(borough = Manhattan) - 1.494I(borough = Queens) - 5.251I(borough = Staten Island) + 7.299I(male) - 3.628I(Asian/Pacific Islander) + 7.304I(Black) + 5.399I(Latino/Hispanic) - 5.008I(Other/Unknown)

Model 3: HIV_related_death_rate = 2.249 + 0.100I(borough = Brooklyn) + 0.118I(borough = Manhattan) - 1.007I(borough = Queens) + 2.902I(borough = Staten Island) - 0.221I(male) + 2.625I(age20-29) + 2.632I(age30-39) + 3.357I(age40-49) + 4.893I(age50-59) + 8.148I(age60+)

Model 4: HIV_related_death_rate = 4.780 - 1.083I(borough = Brooklyn) + 0.375I(borough = Manhattan) - 1.080I(borough = Queens) + 2.283I(borough = Staten Island) + 0.220I(male) - 0.183I(Asian/Pacific Islander) + 0.430I(Black) + 1.281I(Latino/Hispanic) - 2.153I(Other/Unknown)