Authors : Eliseba Borges Ximenes; Aniceto da Conceicao Pacheco; Elias Pereira Moniz; Josefa Leandra da Costa; Belarmino da Silva Pereira; Marcos Carvalho

Volume/Issue : Volume 10 - 2025, Issue 6 - June

Google Scholar : https://tinyurl.com/3v239asj

DOI : https://doi.org/10.38124/ijisrt/25jun251

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Dengue Hemorrhagic Fever, caused by the Flavivirus, affects people of all ages and is linked to community behavior and environmental factors. Effective strategies, community involvement, and a data-based plan are needed. The study aims to find out the use of Statistical Data and the Quality of Data for Dengue Disease Interventions at the Comoro Health Centre, Dom Aleixo Post Administrative, Dili Municipality. This study utilized a quantitative descriptive design with a cross-sectional approach to analyze data quality, statistical variables, and Dengue disease intervention among 29 respondents in the Comoro Health Centre, Dom-Aleixo Administrative Post, Dili Municipality, in 2022. The study found that 17.2% of respondents used statistical data in the agree category for dengue intervention, while 27.6% used it in the less agree category. The majority used statistical data in the disagree category, but not in the dengue intervention. The study also found that 13.8% agreed with the quality data of the dengue intervention, while 24.1% disagreed. The study underscores the need for improved data quality in dengue intervention. The study highlights the importance of statistical data and data quality in dengue interventions at the Comoro Health Centre. It recommends environmental management, education, community involvement, and the use of GIS and mobile reporting for surveillance.

Keywords : Statistical Data, Quality Data, Dengue Interventions.

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