Prediction of high incidence of dengue in the Philippines.
PLoS Negl Trop Dis
; 8(4): e2771, 2014 Apr.
Article
em En
| MEDLINE
| ID: mdl-24722434
ABSTRACT
BACKGROUND:
Accurate prediction of dengue incidence levels weeks in advance of an outbreak may reduce the morbidity and mortality associated with this neglected disease. Therefore, models were developed to predict high and low dengue incidence in order to provide timely forewarnings in the Philippines.METHODS:
Model inputs were chosen based on studies indicating variables that may impact dengue incidence. The method first uses Fuzzy Association Rule Mining techniques to extract association rules from these historical epidemiological, environmental, and socio-economic data, as well as climate data indicating future weather patterns. Selection criteria were used to choose a subset of these rules for a classifier, thereby generating a Prediction Model. The models predicted high or low incidence of dengue in a Philippines province four weeks in advance. The threshold between high and low was determined relative to historical incidence data. PRINCIPALFINDINGS:
Model accuracy is described by Positive Predictive Value (PPV), Negative Predictive Value (NPV), Sensitivity, and Specificity computed on test data not previously used to develop the model. Selecting a model using the F0.5 measure, which gives PPV more importance than Sensitivity, gave theseresults:
PPVâ=â0.780, NPVâ=â0.938, Sensitivityâ=â0.547, Specificityâ=â0.978. Using the F3 measure, which gives Sensitivity more importance than PPV, the selected model had PPVâ=â0.778, NPVâ=â0.948, Sensitivityâ=â0.627, Specificityâ=â0.974. The decision as to which model has greater utility depends on how the predictions will be used in a particular situation.CONCLUSIONS:
This method builds prediction models for future dengue incidence in the Philippines and is capable of being modified for use in different situations; for diseases other than dengue; and for regions beyond the Philippines. The Philippines dengue prediction models predicted high or low incidence of dengue four weeks in advance of an outbreak with high accuracy, as measured by PPV, NPV, Sensitivity, and Specificity.
Texto completo:
1
Coleções:
01-internacional
Contexto em Saúde:
2_ODS3
/
3_ND
/
4_TD
Base de dados:
MEDLINE
Assunto principal:
Métodos Epidemiológicos
/
Dengue
Tipo de estudo:
Incidence_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
País/Região como assunto:
Asia
Idioma:
En
Revista:
PLoS Negl Trop Dis
Ano de publicação:
2014
Tipo de documento:
Article