| Types |
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| Overview |
This model shows the utility of using Google search terms to predict dengue incidence in Singapore and Bangkok. The models predict incidence with a correlation greater than 0.8. |
| Question |
Can you accurately predict a rise in incidence of dengue infections through search queries in order to trigger interventions? |
| Purpose |
Prediction |
| Scope |
Disease and Location |
| Goals |
|
(1)
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Baseline awareness
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(2)
|
Early warning
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| Decision support |
No |
| Based on |
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| Methods |
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(1)
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Machine learning/Support vector machine (SVM)
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(2)
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Regression/Generalized Boosted Regression
|
|
(3)
|
Regression/Negative binomial
|
|
(4)
|
Statistics/Akaike information criterion (AIC)
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| Products |
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| Documents |
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