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1st Int. Transborder Conf. of the Timor Island: Timor %u2013 Science without borderDili, 7-8 May 2025116Temporal and Spatial Analysis of Dengue Cases in the Municipalities of Timor-Leste In the Priod of 2019 - 2022Ant%u00f3nio da Costa Fernandes, Alexandrino Duarte Delgado, Alexandrina Maria Silva e Nuno Ara%u00fajo Dos SantosDepartment of Exact Sciences, Faculty of Exact Sciences, National University of Timor Lorosa%u2019e, Timor-LesteCorresponding authors: antoniocfernandes@ua.pt; alexandrino_d@hotmail.com; almeida.82silva@gmail.com;AbstractThis study aimed to analyze dengue fever incidence in the country, comparing annual rates, and identifying risk areas and associated factors. The research involved comparing incidence rates across different health regions and hospitals, identifying temporal trends and spatial distribution of cases, and analyzing the relationship between social factors and dengue fever incidence. The results revealed an increasing trend in dengue fever incidence from 2019 to 2022, with a significant peak in 2022, particularly during the rainy season. Dili recorded the highest number of cases, although Baucau and Liqui%u00e7a also showed a considerable increase in 2022. Children and adolescents comprised the largest proportion of cases, notably in 2022, when they accounted for 42% of the total. Incidence rates were significantly higher during the rainy season compared to the dry season, with children under 5 and adolescents being the most affected age groups. The temporal analysis showed a stationary trend across age groups and health regions, except for the 50-59 age group, which experienced an increase in incidence rate. Spatial analysis, using the Global and Local Moran's I index, highlighted distinct spatial patterns over the period. In 2019, Dili formed a High-High cluster, indicating a high incidence of dengue, while municipalities like Ainaro and Ermera presented Low-Low clusters. Over subsequent years, spatial dynamics varied, with Liqui%u00e7a exhibiting a Low-High cluster in 2021 and 2022, and Manatuto displaying a High Low cluster during the same period. These spatial and temporal patterns are crucial for understanding dengue's evolution in Timor-Leste and for guiding more effective interventions in high-risk areas, especially in regions with atypical characteristics, such as the Liqui%u00e7a Low-High and Manatuto High-Low clusters. Keywords: Temporal analysis, spatial analysis, Dengue, Moran's Index, Age groups, Timor-Leste