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1.
Epidemiol Serv Saude ; 29(3): e2019354, 2020.
Artículo en Inglés, Portugués | MEDLINE | ID: mdl-32556043

RESUMEN

OBJECTIVE: to describe dengue virus circulation in Belo Horizonte, Brazil, from 2009 to 2014. METHODS: this is a series study of cases of dengue infected by different virus serotypes, identified by virus isolation or RT-PCR; database linkage was performed between the Notifiable Health Conditions Information System (SINAN), the Brazilian National Health System Hospital Information System (SIH/SUS) and the Laboratory Environment Manager (GAL). RESULTS: 91.1% of the records were linked (n=775); among the cases (n=851), 60.4% (n=514) were confirmed as DENV-1, 22.1% (n=188) DENV-4, 9.8% (n=83) as DENV-2, and 7.7% (n=66) as DENV-3; DENV-2 accounted for a higher percentage of severe cases (4.5%). CONCLUSION: DENV-1 prevailed and circulated in all evaluated years.


Asunto(s)
Dengue , Brasil/epidemiología , Bases de Datos Factuales , Dengue/epidemiología , Dengue/virología , Virus del Dengue/genética , Humanos , Almacenamiento y Recuperación de la Información , Serogrupo
2.
Epidemiol. serv. saúde ; 29(3): e2019354, 2020. tab, graf
Artículo en Inglés, Portugués | LILACS | ID: biblio-1101140

RESUMEN

Objetivo: descrever a circulação viral de dengue em Belo Horizonte, Brasil, de 2009 a 2014. Métodos: trata-se de estudo de série de casos de dengue infectados por diferentes sorotipos do vírus, identificados por isolamento viral ou RT-PCR; foi realizado linkage das bases de dados do Sistema de Informação de Agravos de Notificação (Sinan), do Sistema de Informações Hospitalares do Sistema Único de Saúde (SIH/SUS) e do Gerenciador de Ambiente Laboratorial (GAL). Resultados: foram relacionados 91,1% dos registros (n=775); entre os casos (n=851), 60,4% (n=514) foram confirmados como DENV-1, 22,1% (n=188) como DENV-4, 9,8% (n=83) como DENV-2 e 7,7% (n=66) como DENV-3; DENV-2 apresentou maior percentual de casos graves (4,5%). Conclusão: DENV-1 prevaleceu e circulou em todos os anos avaliados.


Objetivo: describir la circulación viral del dengue en Belo Horizonte, Brasil, de 2009 a 2014. Métodos: se trata de estudio de una serie de casos de dengue infectados por diferentes serotipos del virus, identificados por aislamiento viral o RT-PCR; se realizó una conexión con las bases de datos del Sistema de Información para Enfermedades de Notificación (Sinan), el Sistema del Información Hospitalaria del Sistema Único de Salud (SIH/SUS) y el Gestor de Ambiente de Laboratorio (GAL). Resultados: fueron relacionados 91,1% de los registros (n=775); entre los casos (n=851), el 60,4% (n=514) fue confirmado como DENV-1, 22,1% (n=188) como DENV-4, 9,8% (n=83) como DENV-2 y 7,7% (n=66) como DENV-3; DENV-2 tuvo un mayor porcentaje de casos graves (4,5%). Conclusión: DENV-1 prevaleció y circuló en todos los años evaluados.


Objective: to describe dengue virus circulation in Belo Horizonte, Brazil, from 2009 to 2014. Methods: this is a series study of cases of dengue infected by different virus serotypes, identified by virus isolation or RT-PCR; database linkage was performed between the Notifiable Health Conditions Information System (SINAN), the Brazilian National Health System Hospital Information System (SIH/SUS) and the Laboratory Environment Manager (GAL). Results: 91.1% of the records were linked (n=775); among the cases (n=851), 60.4% (n=514) were confirmed as DENV-1, 22.1% (n=188) DENV-4, 9.8% (n=83) as DENV-2, and 7.7% (n=66) as DENV-3; DENV-2 accounted for a higher percentage of severe cases (4.5%). Conclusion: DENV-1 prevailed and circulated in all evaluated years.


Asunto(s)
Humanos , Masculino , Femenino , Dengue/diagnóstico , Dengue/epidemiología , Virus del Dengue/aislamiento & purificación , Brasil/epidemiología , Notificación de Enfermedades/estadística & datos numéricos , Reacción en Cadena de la Polimerasa de Transcriptasa Inversa , Monitoreo Epidemiológico , Sistemas de Información en Salud/estadística & datos numéricos
3.
PLoS Negl Trop Dis ; 11(10): e0005950, 2017 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-28985218

RESUMEN

BACKGROUND: Visceral leishmaniasis (VL) is expanding in Brazil and in other South American countries, a process that has been associated with the urbanization of the disease. This study analyzes the spatial and temporal distribution of VL in the Brazilian state of Minas Gerais and identifies the areas with higher risks of transmission. METHODOLOGY: An ecological study with spatial and time series analyzes of new confirmed cases of VL notified to the Brazilian Notifiable Disease Information System between 2002 and 2013, considering the 12 mesoregions of Minas Gerais. Two complementary methodologies were used: thematic maps of incidence and Poisson (log-linear) generalized linear model. Thematic maps using crude and smoothed cumulative incidences were generated for four trienniums. Poisson Regression measured the variation of the average number of cases from one year to the following, for each mesoregion. PRINCIPAL FINDINGS: The 5,778 cases analyzed revealed a heterogeneous spatial and temporal distribution of VL in Minas Gerais. Six mesoregions (Central Mineira, Jequitinhonha, Metropolitan area of Belo Horizonte, Northwest of Minas, North of Minas, and Vale do Rio Doce) were responsible for the expansion and maintenance of VL, with incidence rates as high as 26/100,000 inhabitants. The Vale do Rio Doce and Jequitinhonha mesoregions showed a considerable increase in the incidence rates in the last period studied. The other six mesoregions reported only sporadic cases and presented low and unsteady incidence rates, reaching a maximum of 1.2/100,000 inhabitants. CONCLUSIONS/SIGNIFICANCE: The results contribute to further the current understanding about the expansion of VL in Minas Gerais and may help guide actions for disease control.


Asunto(s)
Leishmaniasis Visceral/epidemiología , Leishmaniasis Visceral/transmisión , Animales , Brasil/epidemiología , Perros/parasitología , Ecología , Humanos , Incidencia , Leishmaniasis Visceral/parasitología , Leishmaniasis Visceral/prevención & control , Modelos Lineales , Distribución de Poisson , Análisis de Regresión , Análisis Espacial , Factores de Tiempo , Población Urbana
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