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1.
Emerg Infect Dis ; 24(4): 617-624, 2018 04.
Artigo em Inglês | MEDLINE | ID: mdl-29553317

RESUMO

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.


Assuntos
Febre de Chikungunya/epidemiologia , Febre de Chikungunya/virologia , Vírus Chikungunya , Doenças Transmissíveis Emergentes/epidemiologia , Doenças Transmissíveis Emergentes/virologia , Adolescente , Adulto , Idoso , Brasil/epidemiologia , Febre de Chikungunya/imunologia , Febre de Chikungunya/transmissão , Vírus Chikungunya/imunologia , Criança , Pré-Escolar , Doenças Transmissíveis Emergentes/imunologia , Doenças Transmissíveis Emergentes/transmissão , Estudos Transversais , Feminino , Humanos , Incidência , Lactente , Masculino , Pessoa de Meia-Idade , Vigilância da População , Estudos Soroepidemiológicos , Adulto Jovem
2.
Mem Inst Oswaldo Cruz ; 110(4): 528-33, 2015 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-26061236

RESUMO

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.


Assuntos
Dengue/epidemiologia , Epidemias , Adolescente , Adulto , Brasil/epidemiologia , Criança , Cidades , Feminino , Humanos , Incidência , Masculino , Análise Espaço-Temporal , População Urbana , Adulto Jovem
3.
Mem. Inst. Oswaldo Cruz ; 110(4): 528-533, 09/06/2015. tab, graf
Artigo em Inglês | LILACS | ID: lil-748863

RESUMO

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.


Assuntos
Adolescente , Adulto , Criança , Feminino , Humanos , Masculino , Adulto Jovem , Dengue/epidemiologia , Epidemias , Brasil/epidemiologia , Cidades , Incidência , Análise Espaço-Temporal , População Urbana
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