A deviation bar chart for detecting dengue outbreaks in Puerto Rico
Autor: | C C Deseda, D R Walker, J G Rigau-Pérez, P S Millard, A Casta-Vélez |
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Rok vydání: | 1999 |
Předmět: |
medicine.medical_specialty
Bar chart Population Epidemiologic Measurements Sensitivity and Specificity Disease Outbreaks Dengue fever law.invention Dengue Public health surveillance Residence Characteristics law Epidemiology medicine Humans education Retrospective Studies education.field_of_study business.industry Incidence Incidence (epidemiology) Puerto Rico Public Health Environmental and Occupational Health Reproducibility of Results Outbreak Retrospective cohort study medicine.disease Data Interpretation Statistical Population Surveillance Seasons business Research Article Demography |
Zdroj: | American Journal of Public Health. 89:374-378 |
ISSN: | 1541-0048 0090-0036 |
Popis: | OBJECTIVES: A Centers for Disease Control and Prevention deviation bar chart (Statistical Software for Public Health Surveillance) and laboratory-based surveillance data were evaluated for their utility in detecting dengue outbreaks in Puerto Rico. METHODS: A significant increase in dengue incidence was defined as an excess of suspected cases of more than 2 SDs beyond the mean for all 4-week periods from April through June (the period of lowest seasonal incidence), 1989 through 1993. An outbreak was defined as a cumulative annual rate of reported dengue greater than 3 per 1000 population. RESULTS: Retrospective application of the system to 1994 data showed agreement with previous analyses. In 1995 and 1996, 36.4% and 27.3%, respectively, of municipalities with a significant increase in reports for 2 or more consecutive weeks before the first week of September had an outbreak, compared with 9.0% (in 1995, P = .042) and 6.0% (in 1996, P = .054) of towns without a significant increase. The system showed sensitivity near 40%, specificity near 89%, and accuracy in classifying municipalities near 84%. CONCLUSIONS: This method provides a statistically based, visually striking, specific, and timely signal for dengue control efforts. |
Databáze: | OpenAIRE |
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