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1.
Clin Infect Dis ; 31(3): 728-33, 2000 09.
Artigo em Inglês | MEDLINE | ID: mdl-11017823

RESUMO

A personal computer-based commercial geographic information system (GIS) was applied to an outbreak of Shigella sonnei infection at Fort Bragg, North Carolina. We used a database consisting of demographic, temporal, and home-address information for all recognized cases of S. sonnei that occurred among health care beneficiaries from 23 May 1997 through 14 August 1997. We imported this database into the GIS, which contained a digitized basemap of the local community. Through simultaneous examination of temporal and spatial distribution of the 59 identified cases of S. sonnei, a focus of infection in a single housing area was identified. Targeted education among residents of the neighborhood in which there was intense transmission was associated with prompt extinction of the epidemic. A GIS offers an efficient and practical way to directly visualize the dynamics of transmission of infectious diseases in the setting of a community outbreak.


Assuntos
Disenteria Bacilar/prevenção & controle , Sistemas de Informação/estatística & dados numéricos , Adolescente , Adulto , Antibacterianos/farmacologia , Criança , Pré-Escolar , Interpretação Estatística de Dados , Surtos de Doenças , Disenteria Bacilar/epidemiologia , Feminino , Geografia , Humanos , Incidência , Lactente , Masculino , Testes de Sensibilidade Microbiana , North Carolina/epidemiologia , Shigella sonnei/isolamento & purificação , Fatores de Tempo
2.
Emerg Infect Dis ; 6(3): 238-47, 2000.
Artigo em Inglês | MEDLINE | ID: mdl-10827113

RESUMO

The 1993 U.S. hantavirus pulmonary syndrome (HPS) outbreak was attributed to environmental conditions and increased rodent populations caused by unusual weather in 1991- 92. In a case-control study to test this hypothesis, we estimated precipitation at 28 HPS and 170 control sites during the springs of 1992 and 1993 and compared it with precipitation during the previous 6 years by using rainfall patterns at 196 weather stations. We also used elevation data and Landsat Thematic Mapper satellite imagery collected the year before the outbreak to estimate HPS risk by logistic regression analysis. Rainfall at case sites was not higher during 1992-93 than in previous years. However, elevation, as well as satellite data, showed association between environmental conditions and HPS risk the following year. Repeated analysis using satellite imagery from 1995 showed substantial decrease in medium- to high-risk areas. Only one case of HPS was identified in 1996.


Assuntos
Síndrome Pulmonar por Hantavirus/epidemiologia , Comunicações Via Satélite , Animais , Estudos de Casos e Controles , Surtos de Doenças , Reservatórios de Doenças , Humanos , Processamento de Imagem Assistida por Computador , Modelos Logísticos , Camundongos , Peromyscus/virologia , Chuva , Fatores de Risco , Doenças dos Roedores/epidemiologia , Doenças dos Roedores/virologia , Estações do Ano
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