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...
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ftdoajarticles:oai:doaj.org/article:4a601a81d4e04125af73585821bf3197 2023-06-18T03:39:33+02:00 Spatial and temporal distribution of reported dengue cases and hot spot identification in Quezon City, Philippines, 2010–2017 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 2023-05-01T00:00:00Z https://doi.org/10.1186/s41182-023-00523-x https://doaj.org/article/4a601a81d4e04125af73585821bf3197 EN eng BMC https://doi.org/10.1186/s41182-023-00523-x https://doaj.org/toc/1349-4147 doi:10.1186/s41182-023-00523-x 1349-4147 https://doaj.org/article/4a601a81d4e04125af73585821bf3197 Tropical Medicine and Health, Vol 51, Iss 1, Pp 1-10 (2023) Dengue Philippines GIS Hot spot Spatial cluster Quezon City Arctic medicine. Tropical medicine RC955-962 article 2023 ftdoajarticles https://doi.org/10.1186/s41182-023-00523-x 2023-06-04T00:40:26Z 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. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Tropical Medicine and Health 51 1 |
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Directory of Open Access Journals: DOAJ Articles |
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Dengue Philippines GIS Hot spot Spatial cluster Quezon City Arctic medicine. Tropical medicine RC955-962 |
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Dengue Philippines GIS Hot spot Spatial cluster Quezon City Arctic medicine. Tropical medicine RC955-962 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 |
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Dengue Philippines GIS Hot spot Spatial cluster Quezon City Arctic medicine. Tropical medicine RC955-962 |
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. |
format |
Article in Journal/Newspaper |
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 |
title |
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_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_sort |
spatial and temporal distribution of reported dengue cases and hot spot identification in quezon city, philippines, 2010–2017 |
publisher |
BMC |
publishDate |
2023 |
url |
https://doi.org/10.1186/s41182-023-00523-x https://doaj.org/article/4a601a81d4e04125af73585821bf3197 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Tropical Medicine and Health, Vol 51, Iss 1, Pp 1-10 (2023) |
op_relation |
https://doi.org/10.1186/s41182-023-00523-x https://doaj.org/toc/1349-4147 doi:10.1186/s41182-023-00523-x 1349-4147 https://doaj.org/article/4a601a81d4e04125af73585821bf3197 |
op_doi |
https://doi.org/10.1186/s41182-023-00523-x |
container_title |
Tropical Medicine and Health |
container_volume |
51 |
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1 |
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1769004276103774208 |