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1.
Emerg Infect Dis ; 24(4): 617-624, 2018 04.
Artículo en Inglés | MEDLINE | ID: mdl-29553317

RESUMEN

Chikungunya has had a substantial impact on public health because of the magnitude of its epidemics and its highly debilitating symptoms. We estimated the seroprevalence, proportion of symptomatic cases, and proportion of chronic form of disease after introduction of chikungunya virus (CHIKV) in 2 cities in Brazil. We conducted the population-based study through household interviews and serologic surveys during October-December 2015. In Feira de Santana, we conducted a serologic survey of 385 persons; 57.1% were CHIKV-positive. Among them, 32.7% reported symptoms, and 68.1% contracted chronic chikungunya disease. A similar survey in Riachão do Jacuípe included 446 persons; 45.7% were CHIKV-positive, 41.2% reported symptoms, and 75.0% contracted the chronic form. Our data confirm intense CHIKV transmission during the continuing epidemic. Chronic pain developed in a high proportion of patients. We recommend training health professionals in management of chronic pain, which will improve the quality of life of chikungunya-affected persons.


Asunto(s)
Fiebre Chikungunya/epidemiología , Fiebre Chikungunya/virología , Virus Chikungunya , Enfermedades Transmisibles Emergentes/epidemiología , Enfermedades Transmisibles Emergentes/virología , Adolescente , Adulto , Anciano , Brasil/epidemiología , Fiebre Chikungunya/inmunología , Fiebre Chikungunya/transmisión , Virus Chikungunya/inmunología , Niño , Preescolar , Enfermedades Transmisibles Emergentes/inmunología , Enfermedades Transmisibles Emergentes/transmisión , Estudios Transversales , Femenino , Humanos , Incidencia , Lactante , Masculino , Persona de Mediana Edad , Vigilancia de la Población , Estudios Seroepidemiológicos , Adulto Joven
2.
Mem Inst Oswaldo Cruz ; 110(4): 528-33, 2015 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-26061236

RESUMEN

Understanding the transmission dynamics of infectious diseases is important to allow for improvements of control measures. To investigate the spatiotemporal pattern of an epidemic dengue occurred at a medium-sized city in the Northeast Region of Brazil in 2009, we conducted an ecological study of the notified dengue cases georeferenced according to epidemiological week (EW) and home address. Kernel density estimation and space-time interaction were analysed using the Knox method. The evolution of the epidemic was analysed using an animated projection technique. The dengue incidence was 6.918.7/100,000 inhabitants; the peak of the epidemic occurred from 8 February-1 March, EWs 6-9 (828.7/100,000 inhabitants). There were cases throughout the city and was identified space-time interaction. Three epicenters were responsible for spreading the disease in an expansion and relocation diffusion pattern. If the health services could detect in real time the epicenters and apply nimbly control measures, may possibly reduce the magnitude of dengue epidemics.


Asunto(s)
Dengue/epidemiología , Epidemias , Adolescente , Adulto , Brasil/epidemiología , Niño , Ciudades , Femenino , Humanos , Incidencia , Masculino , Análisis Espacio-Temporal , Población Urbana , Adulto Joven
3.
Mem. Inst. Oswaldo Cruz ; 110(4): 528-533, 09/06/2015. tab, graf
Artículo en Inglés | LILACS | ID: lil-748863

RESUMEN

Understanding the transmission dynamics of infectious diseases is important to allow for improvements of control measures. To investigate the spatiotemporal pattern of an epidemic dengue occurred at a medium-sized city in the Northeast Region of Brazil in 2009, we conducted an ecological study of the notified dengue cases georeferenced according to epidemiological week (EW) and home address. Kernel density estimation and space-time interaction were analysed using the Knox method. The evolution of the epidemic was analysed using an animated projection technique. The dengue incidence was 6.918.7/100,000 inhabitants; the peak of the epidemic occurred from 8 February-1 March, EWs 6-9 (828.7/100,000 inhabitants). There were cases throughout the city and was identified space-time interaction. Three epicenters were responsible for spreading the disease in an expansion and relocation diffusion pattern. If the health services could detect in real time the epicenters and apply nimbly control measures, may possibly reduce the magnitude of dengue epidemics.


Asunto(s)
Adolescente , Adulto , Niño , Femenino , Humanos , Masculino , Adulto Joven , Dengue/epidemiología , Epidemias , Brasil/epidemiología , Ciudades , Incidencia , Análisis Espacio-Temporal , Población Urbana
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