Skip directly to search Skip directly to A to Z list Skip directly to page options Skip directly to site content

Volume 13, Number 10—October 2007
Global Poverty and Human Development


Dengue Fever Seroprevalence and Risk Factors, Texas–Mexico Border, 2004

Joan Marie Brunkard*Comments to Author , Jose Luis Robles López†, Josue Ramirez‡, Enrique Cifuentes§, Stephen J. Rothenberg§¶, Elizabeth A. Hunsperger#, Chester G. Moore**, Regina M. Brussolo††, Norma A. Villarreal††, and Brent M. Haddad*
Author affiliations: *University of California, Santa Cruz, California, USA; †Servicios de Salud de la Jurisdicción Sanitaria III, Matamoros, Mexico; ‡Health Department–City of Brownsville, Brownsville, Texas, USA; §Instituto Nacional de Salud Pública, Cuernavaca, Mexico; ¶Centro de Investigacíon y de Estudios Avanzados–Instituto Politéchnico Nacional], Mérida, Mexico; #Centers for Disease Control and Prevention, San Juan, Puerto Rico; **Colorado State University, Fort Collins, Colorado, USA; ††Laboratorio Estatal de Salud Pública de Tamaulipas, Ciudad Victoria, Mexico;

Main Article

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.

Main Article