The recent Zika virus (ZIKV) outbreak demonstrates that cost-effective clinical diagnostics are urgently needed to detect and distinguish viral infections to improve patient care. Unlike dengue virus (DENV), ZIKV infections during pregnancy correlate with severe birth defects, including microcephaly and neurological disorders. Because ZIKV and DENV are related flaviviruses, their homologous proteins and nucleic acids can cause cross-reactions and false-positive results in molecular, antigenic, and serologic diagnostics. We report the characterization of monoclonal antibody pairs that have been translated into rapid immunochromatography tests to specifically detect the viral nonstructural 1 (NS1) protein antigen and distinguish the four DENV serotypes (DENV1-4) and ZIKV without cross-reaction. To complement visual test analysis and remove user subjectivity in reading test results, we used image processing and data analysis for data capture and test result quantification. Using a 30-μl serum sample, the sensitivity and specificity values of the DENV1-4 tests and the pan-DENV test, which detects all four dengue serotypes, ranged from 0.76 to 1.00. Sensitivity/specificity for the ZIKV rapid test was 0.81/0.86, respectively, using a 150-μl serum input. Serum ZIKV NS1 protein concentrations were about 10-fold lower than corresponding DENV NS1 concentrations in infected patients; moreover, ZIKV NS1 protein was not detected in polymerase chain reaction-positive patient urine samples. Our rapid immunochromatography approach and reagents have immediate application in differential clinical diagnosis of acute ZIKV and DENV cases, and the platform can be applied toward developing rapid antigen diagnostics for emerging viruses.

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At the time of this writing, no randomized controlled trial (RCT) of an intervention to reduce unsafe sex among Latino gay and bisexual men (LGBM) had been published. We report the results of an RCT conducted in New York City in which 180 LGBM were assigned either to an intervention developed specifically for this population or to a wait-list control group. The intervention was based on empowerment theory and used factors identified in prior research as determinants of unsafe sex. By eligibility criteria, all men had engaged in unprotected anal intercourse (UAI) within two months of the baseline assessment. At first (two months) and second (six months later) follow-up assessments, approximately half of the men in the experimental group reported no UAI. Yet, a similar proportion of the control group also reported no UAI. Baseline data indicate that although the men had been the subject of social oppression and sexual prejudice (homophobia), they did not feel disempowered, externally controlled or fatalistic, and they reported self-efficacy and intentionality to enact safer sex. Lessons learned are discussed, as well as notes of caution for future research employing a similar conceptual framework.

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A dengue (DEN) outbreak occurred in the Yucatan State of Mexico in 2002. Three isolates were obtained from patients presenting with DEN-like symptoms, and examined by partial nucleotide sequencing and phylogenetic analysis. The isolates were identified as DEN-2 viruses of the American-Asian genotype; this is the first report of this genotype in the Yucatan State. The DEN-2 viruses of the American-Asian genotype have been associated with more severe disease outcomes. Thus, its introduction into the Yucatan State presents a serious problem to public health authorities. During this outbreak, DEN virus infection was confirmed in 18% (282 of 1,560) of the patients who presented with DEN-like symptoms. Of these, 87 (31%) patients met the World Health Organization criteria for dengue hemorrhagic fever, including two patients who died. The majority (77%) of the patients experienced secondary infections in this epidemic.

In terms of the applicability of the EORTC risk tables in our patients' population, we conclude that these tables predict accurately the clinical course of patients with NMIBC. Due to the sample size of our study, we can only validate the recurrence model of the EORTC tables.

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