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This study analyzes the dengue incidence and potential hotspots in the 129 administrative units or barangays of Baguio City from 2010 to 2022 by investigating the yearly empirical spatial means, empirical temporal means, and incidence rates per morbidity week. The spatial mean was computed using the daily average incidence rates per 1,000 individuals in each barangay. The temporal mean was calculated using the daily average of the cumulative cases of all barangays. As a result, the barangays in the center of Baguio City were detected as dengue hotspots with the highest temporal means of 0.2558 and 0.1705 during September 2022 and August 2016, respectively. These barangays were mapped utilizing the Geographic Information System. Identification of these hotspots can assist the local government in designing control strategies to minimize the spread of disease.

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Identifying Dengue Hotspots in Baguio City, Philippines Through Spatiotemporal Analysis

  • 会议论文

  • 发表日期：

    2025年

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  • Joseph Ludwin D. C. Marigmen,
  • Criselda P. Libatique,
  • Jhunas Paul T. Viernes,
  • Junley L. Lazaga,
  • Jean Milnard S. Punzalan,
  • Donnabel Tubera-Panes,
  • Rizavel C. Addawe

摘要

This study analyzes the dengue incidence and potential hotspots in the 129 administrative units or barangays of Baguio City from 2010 to 2022 by investigating the yearly empirical spatial means, empirical temporal means, and incidence rates per morbidity week. The spatial mean was computed using the daily average incidence rates per 1,000 individuals in each barangay. The temporal mean was calculated using the daily average of the cumulative cases of all barangays. As a result, the barangays in the center of Baguio City were detected as dengue hotspots with the highest temporal means of 0.2558 and 0.1705 during September 2022 and August 2016, respectively. These barangays were mapped utilizing the Geographic Information System. Identification of these hotspots can assist the local government in designing control strategies to minimize the spread of disease.