Detection of aberrations in the occurrence of notifiable diseases surveillance data.
Stat Med
; 8(3): 323-9; discussion 331-2, 1989 Mar.
Article
em En
| MEDLINE
| ID: mdl-2540519
ABSTRACT
The detection of unusual patterns in the occurrence of diseases and other health events presents an important challenge to public health surveillance. This paper discusses three analytic methods for identifying aberrations in underlying distributions. The methods are illustrated on selected infectious diseases included in the National Notifiable Diseases Surveillance System of the Centers for Disease Control. Results suggest the utility of such an analytic approach. Further work will determine the sensitivity of such methods to variations in the occurrence of disease. These methods are useful for evaluating and monitoring public health surveillance data.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Doenças Transmissíveis
/
Interpretação Estatística de Dados
Tipo de estudo:
Diagnostic_studies
/
Screening_studies
Limite:
Humans
País/Região como assunto:
America do norte
Idioma:
En
Ano de publicação:
1989
Tipo de documento:
Article