Evidence map›Paper›PMID 41495751›Full record

ArticleBMC public health2026

Evaluating the effectiveness of different intervention measures for a dengue outbreak in Hangzhou based on a dynamic model.

Ling Xu, Rongrong Lu, Haocheng Wu

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. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

3 authors.

Ling Xu *Shangcheng District Center for Disease Control and Prevention (Shangcheng District Health Supervision Institute), Hangzhou, Zhejiang Province, 310043, China.
Rongrong Lu *Fuyang District Center for Disease Control and Prevention (Fuyang District Health Supervision Institute), Hangzhou, Zhejiang Province, 311400, China.
Haocheng WuZhejiang Province Center for Disease Control and Prevention, Disease Prevention and Control Innovation Team of Zhejiang Province (2026JKC-04), Hangzhou, Zhejiang Province, 310051, China. hchwu@cdc.zj.cn.

Funding

Fuyang District Social Development Science and Technology Project 202322Shangcheng District Medical and Health Technology Project 202402the Major Science and Technology Project of the Science and Technology Department of Zhejiang Province 2022C03109Zhejiang Provincial Medical and Health Project WKJ-ZJ-2522Zhejiang Science and Technology Plan for Disease Prevention and Control 2025JK053
6 · The paper itself

Abstract

backgroundOn the basis of 2017 dengue fever outbreak data from Shangcheng District, this study developed a dynamic transmission model to analyze the epidemiological characteristics of dengue fever at a district scale, quantitatively evaluated the effectiveness of different intervention measures, and provided evidence-based support for optimizing outbreak control strategies.

methodsThe outbreak data were obtained from the China Information Network System of Disease Prevention and Control. Some transmission parameters were initially estimated via Berkeley Madonna 8.3.18 software. An SEIAR epidemic model incorporating host-vector bidirectional transmission dynamics was established to evaluate the effectiveness of case isolation, health education, and vector control.

resultsWith no intervention, the outbreak would last 225 days, resulting in 8420 cumulative cases, which were both significantly higher than the actual outbreak data (CC = 278 cases, DO = 79 days). Case isolation was the least effective intervention for epidemic control, reducing the cumulative number of cases by only about 71% compared to the estimated incidence without intervention. Vector control was the most effective single intervention. Even a 5% daily vector density reduction intervention could reduce cumulative cases by about 97% and shorten the outbreak duration to 87 days. Increasing the coverage rate and the behavior formation rate of health education could also effectively reduce the number of cumulative cases and shorten the duration of an outbreak. The combined strategy of low-frequency mosquito control (every 3 days) and health education (60% coverage, 50% behavior adoption) and 100% case isolation performed only slightly worse than sustained low-intensity mosquito control alone. However, they were both relatively close to the actual prevention and control effectiveness observed in 2017.

conclusionsFor dengue control in high-density urban areas, we suggested a three-tiered synergistic prevention system: a foundation tier of strict case isolation coupled with intelligent monitoring and early-warning systems; a core tier of sustained high-intensity mosquito control to rapidly suppress vector density during the early epidemic stage; and an optimization tier integrated pulsed mosquito control, health education, and case isolation, thereby addressing the limitations of single interventions and minimizing costs.

Indexed as

DengueDisease OutbreaksMosquito ControlAnimalsChinaEpidemiological ModelsHealth EducationHumansDengueEvaluationIntervention measuresSEAIR model

Identifiers

PMID41495751
PMCPMC12870561

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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.