Table 7.
Comparison of the 2016 National Internet Flu Survey (NIFS) Estimates with the 2016 Behavioral Risk Factor Surveillance System (BRFSS) Kaplan-Meier Estimates
Subgroupsa | NIFS |
BRFSSb |
NIFS – BRFSS | ||
---|---|---|---|---|---|
n | % (SE) | n | % (SE) | % (SE) | |
| |||||
Overall | 4,305 | 40.6(0.9) | 16,445 | 26.6(0.8) | 14.0(1.2)* |
Age (years) | |||||
18–49 | 1,494 | 34.3(1.4) | 5,105 | 18.4(1.1) | 15.9(1.8)* |
50–64 | 1,378 | 41.7(1.5) | 4,886 | 29.7(1.6) | 12.0(2.2)* |
≥65 | 1,433 | 56.6(1.4) | 6,454 | 43.3(1.4) | 13.3(2.0)* |
Race/ethnicity | |||||
White, non-Hispanic | 2,511 | 39.7(1.1) | 12,814 | 28.7(0.9) | 11.0(1.4)* |
Black, non-Hispanic | 673 | 40.6(2.2) | 1,209 | 25.2(3.4) | 15.4(4.1)* |
Hispanic | 604 | 43.5(2.3) | 1,159 | 20.8(2.3) | 22.7(3.2)* |
Other, non-Hispanic | 517 | 43.1(2.8) | 980 | 22.7(2.6) | 20.4(3.9)* |
High-risk (HR) medical condition, 18–64 years only | |||||
18–64 year, HR | 905 | 43.5(1.9) | 2,704 | 30.7(2.2) | 12.8(3.0)* |
18–64 year, no HR | 1,967 | 34.0(1.2) | 7,196 | 19.4(0.9) | 14.6(1.5)* |
Sex | |||||
Male | 2,137 | 39.5(1.3) | 6,821 | 23.7(1.2) | 15.8(1.7)* |
Female | 2,168 | 41.7(1.2) | 9,622 | 29.2(1.0) | 12.5(1.6)* |
Employment | |||||
Employed | 2,349 | 37.8(1.2) | 7,653 | 21.5(0.9) | 16.3(1.5)* |
Unemployed | 225 | 32.0(3.8) | 562 | 21.0(4.4) | 11.0(5.8) |
Marital Status | |||||
Married | 2,492 | 42.7(1.1) | 8627 | 28.8(1.1) | 13.9(1.6)* |
Never married | 715 | 35.2(2.2) | 2,368 | 20.7(1.8) | 14.5(2.8)* |
Household Income | |||||
<$35,000 | 1,040 | 38.2(1.8) | 5,296 | 24.4(1.5) | 13.8(2.4)* |
≥$75,000 | 1,777 | 42.4(1.4) | 4,385 | 27.3(1.3) | 15.1(1.9)* |
Note.—% = weighted vaccination coverage estimate; SE, weighted standard error.
A subset of the categories is shown for certain subgroups for brevity.
Influenza vaccination coverage estimate is calculated using the Kaplan-Meier method. For the BRFSS, the calculation includes respondents interviewed October 29 through November 12, 2016, and vaccinated prior to the interview date.
p < 0.05 by t-test (comparing against NIFS).