UPV Theses and Dissertations
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Item Knowledge, attitudes, and practices on dengue vectors of households in Tumagboc Catchment Area, Miagao, IloiloArbizo, Jeric L.; Baldevarona, Rosa Lea S.; Caoyonan, Louise Asuncion D.; Gabasa, Marah Febcy J.; Mapa, Fernie Love D.; Patria, Elaine Joy M.; Tenchavez, Darlene Ruth B.; Trivilegio, Enna Fleur C. (Division of Biological Sciences, College of Arts and Sciences, University of the Philippines Visayas, 2011-03)Previous studies have shown that knowledge, attitudes and practices have an association with the dengue vector control. As such, the independence of mosquito population on the sociodemographic characteristics and KAP of the household heads in Tumagboc Catchment Area, Miagao, Iloilo was tested. Based on the results, the household heads generally are unemployed, married females aging 41 to 50. Their households are composed of 4 to 7 members with no or one child below 15 years, and usually receive below P 1999 per month. Most of them are informed about dengue fever, but only one had suffered from it in the last two years. Moreover, they have moderate knowledge, poor attitudes, but good practices regarding dengue prevention. The container index is 2.71 for crude mosquito larvae and pupae population, and 0.39 for Aedes sp. The house index is 9.72, while the Breteaux indexis 13.19. Chi-square analysis at 0.05 level of significance confirmed the independence of mosquito larvae and pupae population from monthly income, dengue information reception, knowledge, attitudes and practices. A solid reason was the untimely conduct of the study in the beginning of the summer season, when stagnant water has dried up and with few vulnerable breeding sites.Item Risk zone mapping of 2010 dengue fever and dengue hemorrhagic fever cases in the Province of Iloilo based on land coverAndrada, Thresdale; Cañonero, Gertrude Mikee; España, Regine Marie; Puno, Abigail; Sarangaya, Dorothy Rose; Tan, Leonard; Tejada, Ma. Corazon (Division of Biological Sciences, College of Arts and Sciences, University of the Philippines Visayas, 2013-04)Dengue is considered as one of the most important vector-borne diseases in many tropical and subtropical countries. Iloilo Province had 8201 cases in 2010. Heterogeneity in the risk of disease transmission results from spatial heterogeneity in both land use and land cover. Thus, the present study was conducted to identify the risk zones of Dengue Fever and Dengue Hemorrhagic Fever in Province of Iloilo in 2010 based on land cover types by using GIS software. Results of the study show that all land covers in the 6th district pose moderately low risk on dengue incidence. In the case of the 1st district of Iloilo, on the other hand, water bodies have the highest probability of dengue incidence, while the rest of the districts (2nd, 3rd, 4th, 5th). built-up areas have the highest probability of dengue incidence. The land cover type in Iloilo, therefore, with the highest risk for dengue incidence are built up areas due to its high population density, multitude of households and stagnant water areas.Item Time series forecasting model of dengue incidence in the Province of Iloilo with meteorological factors as external regressorsAcebuque, 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.
