Evidence map›Paper›PMID 42555618›Full record

ArticlePLoS neglected tropical diseases2026

Assessing the impact of intervention strategies on dengue dynamics in Shenzhen, China.

Qi Tan, Jia Wan, Cong Niu, Wei Liu, Dongfeng Kong, Zhen Zhang, Yuan Bai, Zhanwei Du

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 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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0citing papers in PubMed
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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

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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.

Qi TanCollege of Computer and Information Engineering and College of Artificial Intelligence, Nanjing Tech University, Nanjing, China.ORCID https://orcid.org/0000-0002-0831-7999
Jia WanShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Cong NiuShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Wei LiuShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Dongfeng KongShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Zhen ZhangShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Yuan BaiWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0002-8468-8118
Zhanwei DuSchool of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA dramatic increase in dengue infections has been observed in recent years, raising concerns regarding the potential further spread of dengue. Shenzhen, a major international port city in China, is typically a non-endemic region; however, it faces persistent risks from imported cases. The resurgence of imported risk has made the identification of effective prevention and control strategies a pressing public health priority for the region. METHODOLOGY: We integrated epidemic, environmental, and intervention data from Shenzhen covering the period from 2015 to 2023. A compartmental mathematical model was developed to characterize the transmission dynamics of dengue triggered by imported cases. We applied sensitivity analysis and developed a quantitative metric to evaluate the relative efficacy of various non-pharmaceutical intervention strategies in this specific urban context.

findingsOur sensitivity analysis identified vector control and the reduction of mosquito biting rates as the most critical factors influencing transmission dynamics. These analytical results were further validated through simulations based on a model fitted to historical data, which revealed that prioritizing these strategies significantly mitigated dengue transmission risks. Compared to alternative measures, these targeted interventions demonstrated a substantially higher impact on reducing the risk and scale of local outbreaks.

conclusionsThis study provides a practical, evidence-based tool for health authorities to prioritize interventions in at-risk hub cities. Our findings underscore that for non-endemic port cities like Shenzhen, focusing on rigorous vector management and biting rate reduction is critical for mitigating the risk of dengue epidemics. These insights offer a strategic framework for guiding future epidemic control efforts against vector-borne diseases in non-endemic urban environments.

Indexed as

DengueMosquito ControlAedesAnimalsChinaDisease OutbreaksHumansModels, TheoreticalMosquito Vectors

Identifiers

PMID42555618
PMCPMC13472445

What OpenQuestion holds

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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.