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

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 5

Logistic regression results for serologic evidence of past dengue infection in Brownsville, Texas, and Matamoros, Mexico, 2004*

Variable Adjusted odds ratio p value 95% Confidence interval Deff
Income <$100 2.59 0.000 1.58–4.26 0.92
Missing income 0.90 0.679 0.54–1.50 0.83
Street drainage 0.57 0.009 0.37–0.87 1.07
Larval habitat 2.35 0.008 1.26–4.41 1.00
Air-conditioning 0.58 0.014 0.38–0.89 1.04
Intact screens 1.35 0.111 0.93–1.95 0.90
Store water 1.62 0.079 0.95–2.76 1.19
Aedes aegypti 0.84 0.476 0.53–1.35 1.05
Cross border, 3 mo 0.90 0.581 0.62–1.31 0.93
People/household 1.06 0.300 0.95–1.19 1.31

*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

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