Volume 20, Number 4—April 2014
Research
Ciprofloxacin Resistance and Gonorrhea Incidence Rates in 17 Cities, United States, 1991–2006
Harrell W. Chesson
, Robert D. Kirkcaldy, Thomas L. Gift, Kwame Owusu-Edusei, and Hillard S. Weinstock
, Robert D. Kirkcaldy, Thomas L. Gift, Kwame Owusu-Edusei, and Hillard S. Weinstock
Table 2
Results of regression analysis of gonorrhea incidence rates in 17 cities, United States, 1991–2006*
| Independent variable | Model 1 | Model 2 | Model 3 | Model 4 |
|---|---|---|---|---|
| Ciprofloxacin resistance | 0.739 (0.172)† | 0.710 (0.201)† | 0.892 (0.322)† | 0.926 (0.322)† |
| Lagged dependent variable | 0.597 (0.052)† | 0.553 (0.053)† | – | – |
| % Black | – | −0.143 (0.962) | – | 0.991 (1.67) |
| % 15–29 y of age | – | −0.381 (1.20) | – | −1.60 (2.49) |
| Robbery rate | – | 0.247 (0.058)† | – | 0.336 (0.125)† |
| Unemployment rate | – | −0.660 (1.20) | – | −0.724 (1.83) |
| Per capita income | – | 0.449 (0.656) | – | 0.324 (1.19) |
| Adjusted R2 | 0.969 | 0.970 | 0.967 | 0.967 |
*Values are coefficients (SEs) unless otherwise indicated. All of the above regressions also included a constant term and binary (dummy) variables for city and year (not reported in table). Models 1 and 2 included the lagged value of the dependent variable and were estimated by using ordinary least squares. Models 3 and 4 were estimated by using linear regression corrected for first-order autocorrelated errors. –, variables were not included in the regression.
†p<0.01.
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