Forecasting dengue cases in Western Visayas, Philippines using a seasonal ARIMA model

Authors

John Paolo R. Maulion ⋅ PH National Institute of Physics, University of the Philippines Diliman
Raul V. Destura ⋅ PH National Institutes of Health, University of the Philippines Manila
Johnrob . Y. Bantang ⋅ PH National Institute of Physics, University of the Philippines Diliman

Abstract

We used the Box-Jenkins approach to fit a univariate seasonal autoregressive integrated moving average (SARIMA) model of weekly dengue cases in the Western Visayas region, Philippines from 2008 to 2013. This model was then utilized to extract forecasts of dengue cases for 2014, which were compared with the observed data.

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Issue

2016: Proceedings of the 34th Samahang Pisika ng Pilipinas Physics Conference

Physics at the front and center: Strengthening core values in physics research
18–21 August 2016, University of the Philippines Visayas, Iloilo City

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Article ID

SPP-2016-1C-06

Section

Complex Systems and Data Analytics

Published

2016-08-18

How to Cite

[1]

JPR Maulion, RV Destura, and J . Y Bantang, Forecasting dengue cases in Western Visayas, Philippines using a seasonal ARIMA model, Proceedings of the Samahang Pisika ng Pilipinas 34, SPP-2016-1C-06 (2016). URL: https://proceedings.spp-online.org/article/view/SPP-2016-1C-06.