Volume 13, Number 10—October 2007
THEME ISSUE
Global Poverty and Human Development
Research
Dengue Fever Seroprevalence and Risk Factors, Texas–Mexico Border, 2004
Table 4
Logistic regression results for recent dengue infection in Brownsville, Texas, and Matamoros, Mexico, 2004*
Variable | Adjusted odds ratio | p value | 95% Confidence interval | Deff |
---|---|---|---|---|
Income <$100 | 3.22 | 0.012 | 1.31–7.95 | 0.95 |
Missing income | 1.35 | 0.671 | 0.34–5.42 | 1.00 |
Street drainage | 0.69 | 0.395 | 0.29–1.65 | 1.00 |
Larval habitat | 2.20 | 0.381 | 0.37–13.07 | 0.74 |
Air-conditioning | 0.74 | 0.543 | 0.28–1.96 | 0.94 |
Intact screens | 0.98 | 0.959 | 0.41–2.32 | 1.06 |
Store water | 1.17 | 0.709 | 0.51–2.68 | 0.90 |
Aedes aegypti | 1.05 | 0.912 | 0.47–2.31 | 0.92 |
Cross border, 3 mo | 0.95 | 0.900 | 0.40–2.24 | 1.05 |
People/household | 0.97 | 0.727 | 0.80–1.17 | 0.88 |
*Missing data in independent variables (n = 22) did not significantly change prevalence of recent or past dengue infection (p>0.10) in the remaining 578 observations used in subsequent models. Deff, design effect, the ratio of variance between the survey design and simple random sampling.