Abstract

Dengue fever or dengue has been a concern for individuals living in Baguio City. Every year, incidence counts rise during rainy seasons experienced from June to October. A previous study involving simple linear regression between the two-year average monthly dengue incidence and one of the meteorological factors - relative humidity, precipitation, and average temperature. As a result, relative humidity and precipitation show strong association to the incidence. In this paper, we extend the study using multiple linear regression (MLR) analysis. Among the three possible MLR models, Relative Humidity and Average Temperature show strong influence on dengue incidence in the area. The two alternative types of temperature - Highest and Mean Maximum - remain significant in the study of the meteorological influence on dengue incidence in Baguio City.

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