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

Brunkard, Joan; López, Jose Luis Robles; Ramirez, Josue; Cifuentes, Enrique; Rothenberg, Stephen J.; Hunsperger, Elizabeth; Moore, Chester G.; Brussolo, Regina M.; Villarreal, Norma A.; Haddad, Brent M.

doi:10.3201/eid1310.061586

Cited by 167 publications

(164 citation statements)

References 26 publications

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“…9 Although most cases occur in the endemic areas of the Americas, Southeast Asia, and the Pacific, dengue is a threat to the continental United States; dengue cases are diagnosed each year in travelers returning from endemic areas and autochthonous cases have been documented in Texas and recently also in Florida. [10][11][12][13] New and more effective tools and approaches for surveillance and control of dengue are sorely needed. 14 In the absence of a vaccine, dengue prevention is focused upon controlling mosquito vectors.…”

Section: Introductionmentioning

confidence: 99%

Detection of Dengue Virus NS1 Antigen in Infected Aedes aegypti Using a Commercially Available Kit

Voge¹,

Sánchez-Vargas²,

Blair³

et al. 2013

The American Society of Tropical Medicine and Hygiene

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Abstract. Epidemic dengue has emerged throughout the tropical world. In the continued absence of a vaccine against dengue virus (DENV), mosquito vector surveillance and control programs are essential to reduce human infections. An effective test to detect DENV in infected mosquitoes would be a valuable addition to the surveillance effort. We investigated DENV detection in infected Aedes aegypti using a commercially available DENV non-structural protein 1 (NS1) ELISA kit (Platelia Dengue NS1 Ag), and by reverse transcription-polymerase chain reaction (RT-PCR) and virus isolation assays. The DENV-infected mosquitoes were subjected to field-relevant conditions and assayed individually and pooled with uninfected mosquitoes. Overall, DENV NS1 antigen was detected in 98% of infected mosquitoes/ pools versus 79% for RT-PCR and 29% for virus isolation. Our results indicate that NS1 is an excellent analyte for detection of DENV in Ae. aegypti and that the tested NS1 antigen kit provides a sensitive, rapid, and convenient test for DENV surveillance in mosquitoes.

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Section: Introductionmentioning

confidence: 99%

Detection of Dengue Virus NS1 Antigen in Infected Aedes aegypti Using a Commercially Available Kit

Voge¹,

Sánchez-Vargas²,

Blair³

et al. 2013

The American Society of Tropical Medicine and Hygiene

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“…The impact of the physical environment on infection risk has been less well-studied in high income countries perhaps because of the perception that wealth, strong public health institutions, and strong infrastructure mitigate such risks (7). For example, Brunkard et al evaluated dengue virus seroprevalence on the Texas-Mexico border and demonstrated compellingly that wealth, and the infrastructure it buys, can have important protective effects against infectious disease, even within a given geographical area (8). However, risk mitigation is not equivalent to risk elimination, and, as climate and weather continue to shift ever more rapidly, infectious disease control practitioners in high, middle, and low income countries all need to develop improved understanding of the impact such shifts may have on infectious disease epidemiology.…”

mentioning

confidence: 99%

Impact of El Niño Southern Oscillation on infectious disease hospitalization risk in the United States

Fisman

Tuite

Brown

2016

Proc. Natl. Acad. Sci. U.S.A.

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Although the global climate is changing at an unprecedented rate, links between weather and infectious disease have received little attention in high income countries. The “El Niño Southern Oscillation” (ENSO) occurs irregularly and is associated with changing temperature and precipitation patterns. We studied the impact of ENSO on infectious diseases in four census regions in the United States. We evaluated infectious diseases requiring hospitalization using the US National Hospital Discharge Survey (1970–2010) and five disease groupings that may undergo epidemiological shifts with changing climate: (i) vector-borne diseases, (ii) pneumonia and influenza, (iii) enteric disease, (iv) zoonotic bacterial disease, and (v) fungal disease. ENSO exposure was based on the Multivariate ENSO Index. Distributed lag models, with adjustment for seasonal oscillation and long-term trends, were used to evaluate the impact of ENSO on disease incidence over lags of up to 12 mo. ENSO was associated more with vector-borne disease [relative risk (RR) 2.96, 95% confidence interval (CI) 1.03–8.48] and less with enteric disease (0.73, 95% CI 0.62–0.87) in the Western region; the increase in vector-borne disease was attributable to increased risk of rickettsioses and tick-borne infectious diseases. By contrast, ENSO was associated with more enteric disease in non-Western regions (RR 1.12, 95% CI 1.02–1.15). The periodic nature of ENSO may make it a useful natural experiment for evaluation of the impact of climatic shifts on infectious disease risk. The impact of ENSO suggests that warmer temperatures and extreme variation in precipitation events influence risks of vector-borne and enteric disease in the United States.

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“…En estos inciden las actuaciones del equipo de atención de salud, y la debilidad en la calidad y oportunidad de la notificación epidemiológica (1)(2)(3)(4)(5)(6)(7)(8)(9)(10).…”

Section: Introductionunclassified

“…Además, posibilitan entender la dinámica poblacional de transmisibilidad, el patrón de difusión del dengue a nivel poblacional y el acumulado de antecedente de exposición (2,4,6,7,10,13,(18)(19)(20)(21)(22)(23)(24)(25).…”

Section: Introductionunclassified

Seroprevalencia en una zona de hiperendemia por dengue, en Barranquilla, Colombia

Tuesca-Molina¹,

Navarro²,

Goenaga-jiménez³

et al. 2018

Aquichan

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RESUMENObjetivo: estimar seroprevalencia de anticuerpos IgG e IgM para dengue y factores asociados. Método: estudio transversal, mediante la aplicación de encuesta y estimación serológica para IgG e IgM para dengue en mayores de 15 años con representabilidad por localidad y sexo. 478 sujetos encuestados en la ciudad de Barranquilla Colombia Análisis estadístico, mediante el programa SPSS ® , versión 22. Se estimó la sero-prevalencia para el análisis univariado y el análisis bivariado mediante la odds ratio de proporciones con una p<0,05. Resultados: la seroprevalencia para IgG fue 88,2% (IC 95% =85,2-91,1) y para IgM de 11,8% (IC 95%= 8,75). Se encontró asociación estadística en edades de 30 a 49 y 50-69 años (OR=7,09 [2,[6][7][8][9][10][11][12][13][14][15][16][17][18][19]3] y OR= 8,93 [2,9-27,0] respectivamente), pertenecer al régimen de salud subsidiado (OR=2,56 [1,53]) y ocupación hogar (OR= 3,38[1,67]. Conclusiones: la alta seroprevalencia para IgG es explicada por la circulación de los cuatro serotipos en el país, los brotes epidémicos cada dos a tres años y los comportamientos y prácticas desfavorables relacionadas con el manejo de agua. Se requiere cambios de conducta frente al manejo de factores predisponentes, la atención oportuna de sintomáticos y vigilancia activa comunitaria e institucional ante casos sospechosos. PALABRAS CLAVEEstudios seroepidemiológicos; dengue; factores de riesgo; estudios transversales; prevalencia (Fuente: DeCS).

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

Abstract: High seroprevalence of dengue was found on both sides of the border.

Cited by 167 publications

References 26 publications

Detection of Dengue Virus NS1 Antigen in Infected Aedes aegypti Using a Commercially Available Kit

Detection of Dengue Virus NS1 Antigen in Infected Aedes aegypti Using a Commercially Available Kit

Impact of El Niño Southern Oscillation on infectious disease hospitalization risk in the United States

Seroprevalencia en una zona de hiperendemia por dengue, en Barranquilla, Colombia

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