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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;

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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.

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