Evidence map›Paper›PMID 42129734›Full record

ArticleBMC public health2026

Street-view vegetation, human mobility, and dengue fever: context-dependent risk in urban green spaces.

Fengrui Jing, Panru Chen, Shuli Zhou, Jinjing Hu, Yanhui Gao, Guanhao He, Jianxiong Hu, Min Kang, Jianpeng Xiao, Tao Liu and 1 more

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Fengrui JingDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Panru ChenDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Shuli ZhouSchool of Architecture and Urban Planning, Guangzhou University, Guangzhou, 510006, China.
Jinjing HuSchool of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, China.
Yanhui GaoDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Guanhao HeDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Jianxiong HuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Min KangGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
Jianpeng XiaoGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
Tao LiuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China. gztt_2002@163.com.
Wenjun MaDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China. mawj@gdiph.org.cn.

Funding

China Postdoctoral Science Foundation 2024M751122National Key Research and Development Program of China 2026ZD01909500National Natural Science Foundation of China 42475183National Natural Science Foundation of China 42501270
6 · The paper itself

Abstract

backgroundThe relationship between urban vegetation and dengue risk remains unclear, partly because most studies rely on static residential exposure and coarse greenness measures. This study examined how street-view vegetation and human mobility jointly influence neighborhood-level dengue risk in Guangzhou, China.

methodsWe analyzed 1,054 communities in Guangzhou using 3,972 locally acquired dengue cases from 2015 to 2019. Street-view images were used to derive grass, plant, and tree cover, while Landsat imagery provided NDVI. Row-standardized origin-destination mobility networks were used to construct mobility-weighted vegetation metrics. Negative binomial regression models with a population offset were fitted to estimate associations of local and mobility-weighted vegetation with dengue risk. Sub-group analyses were conducted by sex and age, and sensitivity analyses tested the robustness of the findings.

resultsIn the local-only model, plant cover was significantly associated with lower dengue risk (IRR = 0.883, 95% CI: 0.807-0.967). In the full model, local grass (IRR = 0.885, 95% CI: 0.793-0.988) and plant cover (IRR = 0.807, 95% CI: 0.731-0.891) remained protective, while mobility-weighted tree exposure was strongly associated with higher dengue risk (IRR = 2.443, 95% CI: 2.171-2.749). Mobility-weighted grass (IRR = 0.836, 95% CI: 0.729-0.959) and plant cover (IRR = 0.597, 95% CI: 0.524-0.679) were protective, whereas NDVI was not significant in either local or weighted models. Model fit improved substantially after adding mobility-weighted vegetation metrics (AIC: 3859.14 vs. 4147.97). Associations were more evident among people aged 60 years or younger, while no greenery metric was statistically significant among older adults.

conclusionsUrban dengue risk is shaped by both local streetscape vegetation and mobility-mediated exposure to vegetation in connected destination communities. Dense tree canopies in daily activity destinations may increase dengue risk, whereas understory plants and grass may be protective. These findings support mobility-aware urban planning and vector-control strategies.

Indexed as

DengueNeighborhood CharacteristicsPlantsPopulation DynamicsResidence CharacteristicsAdolescentAdultChinaFemaleHumansMaleMiddle AgedDengueGreenspaceGuangzhouHuman mobilityStreet view images

Identifiers

PMID42129734
PMCPMC13343600

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LicenceCC BY-NC-ND
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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.