Evidence map›Paper›PMID 41433339›Full record

ArticlePLoS neglected tropical diseases2025

Spatial pattern assessment of Aedes mosquito bite risk in a subtropical metropolitan area: A case study in Shenzhen.

Liangqiang Lin, Yifei He, Xu Guang, Lanbin Xiang, Dongfeng Kong, Kaichuan Diao, Haidong Wang, Bin Zhu

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Liangqiang LinShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Yifei HeSchool of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China.
Xu GuangSchool of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China.
Lanbin XiangShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Dongfeng KongShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Kaichuan DiaoShenzhen Center for Chronic Disease Control, Shenzhen, China.
Haidong WangSchool of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China.
Bin ZhuSchool of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China.ORCID 0000-0002-0091-6356

Funding

National Natural Science Foundation of ChinaShenzhen Science and Technology ProgramSpecial Project for Research, Development in Key areas of Guangdong Province
6 · The paper itself

Abstract

Climate change and urbanization are contributing to the expansion of Aedes mosquito populations in subtropical metropolitan areas, thereby increasing the potential for human-vector contact and associated transmission risk. As vectors of multiple pathogenic viruses, Aedes mosquitoes not only elevate public health risks but also impose considerable burdens on urban health systems. Beyond vector distribution, demographic characteristics and the associated spatial patterns also influence the transmission risk of diseases such as dengue fever. However, a comprehensive framework for spatially assessing Aedes mosquito bite risk from multiple dimensions is still lacking in subtropical regions, which hinders the formulation of targeted public health strategies. Based on the hazard-exposure-vulnerability risk assessment framework, this study systematically evaluated the Aedes mosquito bite risk in Shenzhen. The hazard layer was generated using the Optimal Parameters-based Geographical Detector (OPGD) and the Geographically Weighted Random Forest (GWRF) model to predict spatial patterns of Aedes mosquito density from surveillance data. The exposure layer was derived from population density data, while the vulnerability layer was constructed by applying Geographically Weighted Principal Component Analysis (GWPCA) to multiple demographic and socioeconomic variables. By combining hazard, exposure, and vulnerability layers, we generated a comprehensive Aedes mosquito bite risk map and identified high risk subdistricts in Shenzhen. Further analysis revealed the underlying drivers of each risk hotspot, enabling the proposal of tailored recommendations for Aedes mosquito bite risk prevention. These findings provided valuable insights for the development of preventive measures against vector-borne disease spread and offer a method that can be easily applied to other subtropical megacities.

Indexed as

AedesInsect Bites and StingsMosquito VectorsAnimalsChinaCitiesDengueHumansRisk AssessmentSpatial Analysis

Identifiers

PMID41433339
PMCPMC12725540

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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.