Spatial and temporal distribution of reported dengue cases and hot spot identification in Quezon City, Philippines, 2010–2017
Abstract Background Dengue 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 i...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-05-01
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| Series: | Tropical Medicine and Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41182-023-00523-x |
| _version_ | 1797817767631519744 |
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| author | John Robert C. Medina Rie Takeuchi Chris Erwin G. Mercado Calvin S. de los Reyes Rolando V. Cruz Melvin D. R. Abrigo Paul Michael R. Hernandez Fernando B. Garcia Mika Salanguit Ernesto R. Gregorio Shin’ya Kawamura Khew Ee Hung Masami Kaneko Daisuke Nonaka Richard J. Maude Jun Kobayashi |
| author_facet | John Robert C. Medina Rie Takeuchi Chris Erwin G. Mercado Calvin S. de los Reyes Rolando V. Cruz Melvin D. R. Abrigo Paul Michael R. Hernandez Fernando B. Garcia Mika Salanguit Ernesto R. Gregorio Shin’ya Kawamura Khew Ee Hung Masami Kaneko Daisuke Nonaka Richard J. Maude Jun Kobayashi |
| author_sort | John Robert C. Medina |
| collection | DOAJ |
| description | Abstract Background Dengue 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. Methods Reported 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. Results The 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. Conclusions Considering 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. |
| first_indexed | 2024-03-13T08:58:19Z |
| format | Article |
| id | doaj.art-4a601a81d4e04125af73585821bf3197 |
| institution | Directory Open Access Journal |
| issn | 1349-4147 |
| language | English |
| last_indexed | 2024-03-13T08:58:19Z |
| publishDate | 2023-05-01 |
| publisher | BMC |
| record_format | Article |
| series | Tropical Medicine and Health |
| spelling | doaj.art-4a601a81d4e04125af73585821bf31972023-05-28T11:28:04ZengBMCTropical Medicine and Health1349-41472023-05-0151111010.1186/s41182-023-00523-xSpatial and temporal distribution of reported dengue cases and hot spot identification in Quezon City, Philippines, 2010–2017John Robert C. Medina0Rie Takeuchi1Chris Erwin G. Mercado2Calvin S. de los Reyes3Rolando V. Cruz4Melvin D. R. Abrigo5Paul Michael R. Hernandez6Fernando B. Garcia7Mika Salanguit8Ernesto R. Gregorio9Shin’ya Kawamura10Khew Ee Hung11Masami Kaneko12Daisuke Nonaka13Richard J. Maude14Jun Kobayashi15Institute of Health Policy and Development Studies, National Institutes of Health, University of the Philippines ManilaDepartment of Global Health, Graduate School of Health Sciences, University of the RyukyusMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol UniversityDepartment of Global Health, Graduate School of Health Sciences, University of the RyukyusQuezon City Epidemiology and Surveillance Unit, Local Government of Quezon CityQuezon City Epidemiology and Surveillance Unit, Local Government of Quezon CityDepartment of Environmental and Occupational Health, College of Public Health, University of the Philippines ManilaDepartment of Health Policy and Administration, College of Public Health, University of the Philippines ManilaDepartment of Health Promotion and Education, College of Public Health, University of the Philippines ManilaDepartment of Health Promotion and Education, College of Public Health, University of the Philippines ManilaChubu Institute for Advanced StudiesDepartment of Biosphere and Environmental Sciences, Rakuno Gakuen UniversityDepartment of Biosphere and Environmental Sciences, Rakuno Gakuen UniversityDepartment of Global Health, Graduate School of Health Sciences, University of the RyukyusMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol UniversityDepartment of Global Health, Graduate School of Health Sciences, University of the RyukyusAbstract Background Dengue 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. Methods Reported 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. Results The 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. Conclusions Considering 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.https://doi.org/10.1186/s41182-023-00523-xDenguePhilippinesGISHot spotSpatial clusterQuezon City |
| spellingShingle | John Robert C. Medina Rie Takeuchi Chris Erwin G. Mercado Calvin S. de los Reyes Rolando V. Cruz Melvin D. R. Abrigo Paul Michael R. Hernandez Fernando B. Garcia Mika Salanguit Ernesto R. Gregorio Shin’ya Kawamura Khew Ee Hung Masami Kaneko Daisuke Nonaka Richard J. Maude Jun Kobayashi Spatial and temporal distribution of reported dengue cases and hot spot identification in Quezon City, Philippines, 2010–2017 Tropical Medicine and Health Dengue Philippines GIS Hot spot Spatial cluster Quezon City |
| title | Spatial and temporal distribution of reported dengue cases and hot spot identification in Quezon City, Philippines, 2010–2017 |
| title_full | Spatial and temporal distribution of reported dengue cases and hot spot identification in Quezon City, Philippines, 2010–2017 |
| title_fullStr | Spatial and temporal distribution of reported dengue cases and hot spot identification in Quezon City, Philippines, 2010–2017 |
| title_full_unstemmed | Spatial and temporal distribution of reported dengue cases and hot spot identification in Quezon City, Philippines, 2010–2017 |
| title_short | Spatial and temporal distribution of reported dengue cases and hot spot identification in Quezon City, Philippines, 2010–2017 |
| title_sort | spatial and temporal distribution of reported dengue cases and hot spot identification in quezon city philippines 2010 2017 |
| topic | Dengue Philippines GIS Hot spot Spatial cluster Quezon City |
| url | https://doi.org/10.1186/s41182-023-00523-x |
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