Evidence map›Paper›PMID 37226211›Full record

ArticleTropical medicine and health2023

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 and 6 more

Abstract read
In one paragraph

Article in Tropical medicine and health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

John Robert C MedinaInstitute of Health Policy and Development Studies, National Institutes of Health, University of the Philippines Manila, 623 Pedro Gil St, Ermita, Manila, 1000, Metro Manila, Philippines. jcmedina1@up.edu.ph.ORCID http://orcid.org/0000-0001-6647-5453
Rie TakeuchiDepartment of Global Health, Graduate School of Health Sciences, University of the Ryukyus, 207 Uehara, Nishihara-Cho, Nakagami-Gun, Okinawa, 903-0215, Japan. zhuneilihui@gmail.com.ORCID http://orcid.org/0000-0002-9230-7928
Chris Erwin G MercadoMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, 420/6 Rajvithi Road, Bangkok, 10400, Thailand.ORCID http://orcid.org/0000-0002-5588-9543
Calvin S de Los ReyesDepartment of Global Health, Graduate School of Health Sciences, University of the Ryukyus, 207 Uehara, Nishihara-Cho, Nakagami-Gun, Okinawa, 903-0215, Japan.
Rolando V CruzQuezon City Epidemiology and Surveillance Unit, Local Government of Quezon City, Quezon City, Philippines.
Melvin D R AbrigoQuezon City Epidemiology and Surveillance Unit, Local Government of Quezon City, Quezon City, Philippines.
Paul Michael R HernandezDepartment of Environmental and Occupational Health, College of Public Health, University of the Philippines Manila, 625 Pedro Gil St, Ermita, Manila, 1000, Metro Manila, Philippines.ORCID http://orcid.org/0000-0003-0528-9766
Fernando B GarciaDepartment of Health Policy and Administration, College of Public Health, University of the Philippines Manila, 625 Pedro Gil St, Ermita, Manila, 1000, Metro Manila, Philippines.ORCID http://orcid.org/0000-0002-6730-2180
Mika SalanguitDepartment of Health Promotion and Education, College of Public Health, University of the Philippines Manila, 625 Pedro Gil St, Ermita, 1000, Manila, Metro Manila, Philippines.
Ernesto R GregorioDepartment of Health Promotion and Education, College of Public Health, University of the Philippines Manila, 625 Pedro Gil St, Ermita, 1000, Manila, Metro Manila, Philippines.ORCID http://orcid.org/0000-0003-1931-0458
Shin'ya KawamuraChubu Institute for Advanced Studies, 1200 Matsumoto-Cho, Kasugai, Aichi, 487-8501, Japan.
Khew Ee HungDepartment of Biosphere and Environmental Sciences, Rakuno Gakuen University, 582 Bunkyodaimidoricho, Ebetsu-Shi, Hokkaido, 069-8501, Japan.
Masami KanekoDepartment of Biosphere and Environmental Sciences, Rakuno Gakuen University, 582 Bunkyodaimidoricho, Ebetsu-Shi, Hokkaido, 069-8501, Japan.
Daisuke NonakaDepartment of Global Health, Graduate School of Health Sciences, University of the Ryukyus, 207 Uehara, Nishihara-Cho, Nakagami-Gun, Okinawa, 903-0215, Japan.ORCID http://orcid.org/0000-0001-6793-2062
Richard J MaudeMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, 420/6 Rajvithi Road, Bangkok, 10400, Thailand.ORCID http://orcid.org/0000-0002-5355-0562
Jun KobayashiDepartment of Global Health, Graduate School of Health Sciences, University of the Ryukyus, 207 Uehara, Nishihara-Cho, Nakagami-Gun, Okinawa, 903-0215, Japan.ORCID http://orcid.org/0000-0003-3807-0963

Funding

Wellcome TrustWellcome Trust Wellcome Trust Grant number 220211
6 · The paper itself

Abstract

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.

Indexed as

And Getis-Ord Local Gi*DengueGetis-Ord General G statisticGISHot spotPhilippinesQuezon CitySpatial cluster

Identifiers

PMID37226211
PMCPMC10208904

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.