Marigmen, Joseph Ludwin De Castro and Addawe, Rizavel Corsino (2022) Forecasting and on the influence of climatic factors on rising Dengue incidence in Baguio City, Philippines. Journal of Computational Innovation and Analytics (JCIA), 01 (01). pp. 43-68. ISSN 2821-3408

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Abstract

Dengue fever or dengue has been a concern for individuals living in Baguio City, Philippines. Every year, incidence counts rise during rainy seasons experienced from June to October. Several researches suggest that meteorological factors have great influence on the life, growth, and reproduction of dengue-carrying mosquitoes, resulting in higher dengue incidence in the area. With the continuing rise of dengue incidence in Baguio City, we aim to forecast dengue incidence in the area for the year 2019, starting from January until the end of the outbreak period in the area. Here, we use the projections package of R as it involves the serial interval distribution and Rt value of dengue incidence. We also aim to use multiple linear regression analysis to determine if meteorological factors have significant effects in the rise of dengue incidence in the city. With the inclusion of time-varying reproduction number and serial interval distribution of dengue, we projected that dengue incidence may reach up to 101 cases by June 16, 2021, and without further actions, cases may rise up to 529 cases by August 29, 2021. Based on the average two-year period, such increase is attributed to relative humidity and average temperature as these are the most significant factors associated with dengue incidence based on the MLR analysis. The highest and mean maximum temperatures remain as key meteorological variables that influence dengue incidence in the city. As early as possible, local officials are recommended to uphold proper safety and health procedures in preventing the spread of dengue in Baguio City.

Item Type:	Article
Uncontrolled Keywords:	Dengue Fever, Climatic Factors, Forecasting, Multiple Linear Regression, Baguio City
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Quantitative Sciences
Depositing User:	Mrs Nurin Jazlina Hamid
Date Deposited:	11 Jan 2023 03:42
Last Modified:	09 Feb 2023 03:08
URI:	https://repo.uum.edu.my/id/eprint/29083

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