A dynamic hybrid model for efficient tuberculosis incidence rate prediction.
Tuberculosis remains a global health challenge, predicting its incidences is crucial for effective planning and intervention strategies. This study combines AutoRegressive Integrated Moving Average (ARIMA) and Nonlinear AutoRegressive with exogenous input (NARX) models as an innovative approach for...
| Publicado en: | International Journal of Environmental Health Research Vol. 35; no. 3; pp. 541 - 555 |
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| Autores principales: | , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Mar2025
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| Acceso en línea: | Ver este registro en EBSCOhost |