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Undergraduate Research Paper

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14583/28

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    Dengue knowledge, policies, and Aedes Larval population in selected low and high dengue priority areas in Miagao, Iloilo
    Amihan, April Rose D.; Basco, Arriane Mae P.; Escosia, Edmon B.; Monsale, April Joy P.; Solis, Jann Christian V.; Varon, Marianne Joy C. (Division of Biological Sciences, College of Arts and Sciences, University of the Philippines Visayas, 2009-03)
    This cross-sectional study aimed to compare the knowledge, practices, and Aedes larval populations between low and high dengue priority areas of Miagao, Iloilo. Questionnaire-guided interviews were conducted to assess the knowledge and practices of the study population. Larval surveys were done to determine Aedes larval populations, expressed as House Index (HI), Container Index (CI), and Breteau Index (BI). Results showed that respondents from the low priority area were more knowledgeable on dengue than the respondents from the high priority area (p<0.05). Dengue preventive practices were found to be the same for both low and high priority areas. There was, however, no significant relationship between dengue knowledge and dengue preventive measures (p<0.05). Results from (he larval survey revealed that both low and high priority areas have HI and BI above the WHO standards (HI<5%; BI<20) and are considered “high risk” areas. Lastly, age (p<0.01) and educational attainment (p<0.05) were found to affect an individual’s dengue knowledge.
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    Time series forecasting model of dengue incidence in the Province of Iloilo with meteorological factors as external regressors
    Acebuque, Jason Clement S.; Cuachon, Anna Nicole O.; Deala, Carl Laurence L.; Esmenos, Arian Claudine F.; Galupo, Bealou Patrishe D.; Jubelag, Carmelli S.; Legayada, Precious Jemimah D.; Namuag, Maulene Mae J.; Palmon, Gladys A.; Salvador, June Luis C.; Sampani, Gian Justin P.; Tolentino, Jimel V. (Division of Biological Sciences, College of Arts and Sciences, University of the Philippines Visayas, 2017-06)
    The province of Iloilo posted the highest increase of dengue cases in the Western Visayas region in 2016, despite the noted 2.2% decrease of clinically confirmed cases nationwide. The province has placed adequate attention on technical elements, specifically on the outbreak preparedness, yet it is important to give additional efforts to strengthen the surveillance and information system in the province. A seasonal autoregressive integrated moving average with external regressor (SARIMAX) model was formulated to forecast the future monthly number of dengue cases in Iloilo province using the meteorological parameters as the explanatory variables. It was found that only the rainfall variable significantly affects the number of dengue cases in Iloilo province, hence, the only variable included in the SARIMAX model as the external regressor. The final forecasting model SARIMAX(3,l,l)(l,0,0)12 is capable of representing the number of dengue cases in subsequent months with relative accuracy. The forecasts of dengue incidence from the final model are imperative for assessing future healthcare and public health programs in the province of Iloilo.