Evidence map›Paper›PMID 30158475›Full record

ArticleInternational journal of environmental research and public health2018

Spatial Clustering of Dengue Fever Incidence and Its Association with Surrounding Greenness.

Chi-Chieh Huang, Tuen Yee Tiffany Tam, Yinq-Rong Chern, Shih-Chun Candice Lung, Nai-Tzu Chen, Chih-Da Wu

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 6% of its field
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

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  13. Impacts of Urban Blue-Green Space on Residents' Health: A Bibliometric Review.International journal of environmental research and public health · 2022
    Review
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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

6 authors at 4 institutions in 1 country.

Chi-Chieh HuangDepartment of Forestry and Natural Resources, National Chiayi University, Chiayi 60004, Taiwan. wsxqaza12@gmail.com.
Tuen Yee Tiffany TamDepartment of Forestry and Natural Resources, National Chiayi University, Chiayi 60004, Taiwan. tiffanytam0809@gmail.com.
Yinq-Rong ChernDepartment of Forestry and Natural Resources, National Chiayi University, Chiayi 60004, Taiwan. s1040109@mail.ncyu.edu.tw.
Shih-Chun Candice LungResearch Center for Environmental Changes, Academia Sinica, Taipei 11529, Taiwan. sclung@gate.sinica.edu.tw.
Nai-Tzu ChenNational Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli 35053, Taiwan. cntlichi@nhri.org.tw.
Chih-Da WuDepartment of Geomatics, National Cheng Kung University, Tainan 70101, Taiwan. chidawu@mail.ncyu.edu.tw.
National Chiayi University · TWNational Cheng Kung University · TWNational Health Research Institutes · TWResearch Center for Environmental Changes, Academia Sinica · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With more than 58,000 cases reported by the country's Centers for Disease Control, the dengue outbreaks from 2014 to 2015 seriously impacted the southern part of Taiwan. This study aims to assess the spatial autocorrelation of the dengue fever (DF) outbreak in southern Taiwan in 2014 and 2015, and to further understand the effects of green space (such as forests, farms, grass, and parks) allocation on DF. In this study, two different greenness indexes were used. The first green metric, the normalized difference vegetation index (NDVI), was provided by the long-term NASA MODIS satellite NDVI database, which quantifies and represents the overall vegetation greenness. The latest 2013 land use survey GIS database completed by the National Land Surveying and Mapping Center was obtained to access another green metric, green land use in Taiwan. We first used Spearman's rho to find out the relationship between DF and green space, and then three spatial autocorrelation methods, including Global Moran's I, high/low clustering, and Hot Spot were employed to assess the spatial autocorrelation of DF outbreak. In considering the impact of social and environmental factors in DF, we used generalized linear mixed models (GLMM) to further clarify the relationship between different types of green land use and dengue cases. Results of spatial autocorrelation analysis showed a high aggregation of dengue epidemic in southern Taiwan, and the metropolitan areas were the main hotspots. Results of correlation analysis and GLMM showed a positive correlation between parks and dengue fever, and the other five green space metrics and land types revealed a negative association with DF. Our findings may be an important asset for improving surveillance and control interventions for dengue.

Indexed as

CitiesCluster AnalysisDengueDisease OutbreaksEpidemicsForestsHumansIncidencePlantsSpatial AnalysisTaiwandengue feverGLMMspatial clusteringsurrounding greenness

Identifiers

PMID30158475
PMCPMC6163306
OpenAlexW2888960110

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.