Spatial and temporal distribution of reported dengue cases and hot spot identification in Quezon City, Philippines, 2010–2017

Tropical Medicine and Health

Research

Shin’ya Kawamura¹  Khew Ee Hung²  Masami Kaneko²  Paul Michael R. Hernandez³  Jun Kobayashi⁴  Daisuke Nonaka⁴  Calvin S. de los Reyes⁵  Rie Takeuchi⁶  Fernando B. Garcia⁷  Ernesto R. Gregorio⁸  Mika Salanguit⁸  John Robert C. Medina⁹  Chris Erwin G. Mercado^1,10  Richard J. Maude^1,11  Melvin D. R. Abrigo^1,12  Rolando V. Cruz^1,12 

[1] Chubu Institute for Advanced Studies, 1200 Matsumoto-Cho, 487-8501, Kasugai, Aichi, Japan;Department of Biosphere and Environmental Sciences, Rakuno Gakuen University, 582 Bunkyodaimidoricho, Ebetsu-Shi, 069-8501, Hokkaido, Japan;Department of Environmental and Occupational Health, College of Public Health, University of the Philippines Manila, 625 Pedro Gil St, Ermita, 1000, Manila, Metro Manila, Philippines;Department of Global Health, Graduate School of Health Sciences, University of the Ryukyus, 207 Uehara, Nishihara-Cho, Nakagami-Gun, 903-0215, Okinawa, Japan;Department of Global Health, Graduate School of Health Sciences, University of the Ryukyus, 207 Uehara, Nishihara-Cho, Nakagami-Gun, 903-0215, Okinawa, Japan;College of Arts and Sciences, University of the Philippines Manila, Padre Faura St., Ermita, 1000, Manila, Metro Manila, Philippines;Department of Global Health, Graduate School of Health Sciences, University of the Ryukyus, 207 Uehara, Nishihara-Cho, Nakagami-Gun, 903-0215, Okinawa, Japan;Graduate School of Public Health, International University of Health and Welfare, 4-3, Kodunomori, 286-8686, Narita, Chiba, Japan;Department of Health Policy and Administration, College of Public Health, University of the Philippines Manila, 625 Pedro Gil St, Ermita, 1000, Manila, Metro Manila, Philippines;Department of Health Promotion and Education, College of Public Health, University of the Philippines Manila, 625 Pedro Gil St, Ermita, 1000, Manila, Metro Manila, Philippines;Institute of Health Policy and Development Studies, National Institutes of Health, University of the Philippines Manila, 623 Pedro Gil St, Ermita, 1000, Manila, Metro Manila, Philippines;Department of Health Policy and Administration, College of Public Health, University of the Philippines Manila, 625 Pedro Gil St, Ermita, 1000, Manila, Metro Manila, Philippines;Department of Global Health, Graduate School of Health Sciences, University of the Ryukyus, 207 Uehara, Nishihara-Cho, Nakagami-Gun, 903-0215, Okinawa, Japan;Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, 420/6 Rajvithi Road, 10400, Bangkok, Thailand;Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, 420/6 Rajvithi Road, 10400, Bangkok, Thailand;Centre for Tropical Medicine and Global Health, Nuffield Dept of Medicine, University of Oxford, OX3 7FZ, Oxford, UK;Quezon City Epidemiology and Surveillance Unit, Local Government of Quezon City, Quezon City, Philippines;

关键词: Dengue;    Philippines;    GIS;    Hot spot;    Spatial cluster;    Quezon City;    Getis-Ord General G statistic;    And Getis-Ord Local Gi*;   

DOI  :  10.1186/s41182-023-00523-x

 received in 2022-11-14, accepted in 2023-05-15,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundDengue remains a major public health problem in the Philippines, particularly in urban areas of the National Capital Region. Thematic mapping using geographic information systems complemented by spatial analysis such as cluster analysis and hot spot detection can provide useful information to guide preventive measures and control strategies against dengue. Hence, this study was aimed to describe the spatiotemporal distribution of dengue incidence and identify dengue hot spots by barangay using reported cases from Quezon City, the Philippines from 2010 to 2017.MethodsReported dengue case data at barangay level from January 1, 2010 to December 31, 2017 were obtained from the Quezon City Epidemiology and Surveillance Unit. The annual incidence rate of dengue from 2010 to 2017, expressed as the total number of dengue cases per 10,000 population in each year, was calculated for each barangay. Thematic mapping, global cluster analysis, and hot spot analysis were performed using ArcGIS 10.3.1.ResultsThe number of reported dengue cases and their spatial distribution varied highly between years. Local clusters were evident during the study period. Eighteen barangays were identified as hot spots.ConclusionsConsidering the spatial heterogeneity and instability of hot spots in Quezon City across years, efforts towards the containment of dengue can be made more targeted, and efficient with the application of hot spot analysis in routine surveillance. This may be useful not only for the control of dengue but also for other diseases, and for public health planning, monitoring, and evaluation.

【 授权许可】

CC BY   
© The Author(s) 2023

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