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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Published in:Tropical Medicine and Health
Main Authors: 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
Format: Article in Journal/Newspaper
Language:English
Published: BMC 2023
Subjects:
GIS
Online Access:https://doi.org/10.1186/s41182-023-00523-x
https://doaj.org/article/4a601a81d4e04125af73585821bf3197
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spelling 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
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Dengue
Philippines
GIS
Hot spot
Spatial cluster
Quezon City
Arctic medicine. Tropical medicine
RC955-962
spellingShingle 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
topic_facet 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
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