Evidence map›Paper›PMID 31415559›Full record

ArticlePLoS neglected tropical diseases2019

Incidence dynamics and investigation of key interventions in a dengue outbreak in Ningbo City, China.

Bo Yi, Yi Chen, Xiao Ma, Jia Rui, Jing-An Cui, Haibin Wang, Jia Li, Soi-Fan Chan, Rong Wang, Keqin Ding and 9 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  6. Article
  7. A Review of the Surveillance Techniques for Aedes albopictus.The American journal of tropical medicine and hygiene · 2023
    Review
  8. Article
  9. Article
  10. ComputingInfectious Disease Modelling · 2022
    Article
  11. Article
  12. Article
  13. Entomological Investigation and Detection of Dengue Virus Type 1 inFrontiers in cellular and infection microbiology · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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

19 authors.

Bo YiNingbo Municipal Center for Disease Control and Prevention, Ningbo City, Zhejiang Province, People's Republic of China.
Yi ChenNingbo Municipal Center for Disease Control and Prevention, Ningbo City, Zhejiang Province, People's Republic of China.
Xiao MaNingbo Municipal Center for Disease Control and Prevention, Ningbo City, Zhejiang Province, People's Republic of China.
Jia RuiState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People's Republic of China.
Jing-An CuiSchool of Science, Beijing University of Civil Engineering and Architecture, Beijing, People's Republic of China.
Haibin WangHaishu District Center for Disease Control and Prevention, Ningbo City, Zhejiang Province, People's Republic of China.
Jia LiState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People's Republic of China.
Soi-Fan ChanCenter for Disease Control and Prevention, Health Bureau, Macao SAR, People's Republic of China.
Rong WangNingbo Municipal Center for Disease Control and Prevention, Ningbo City, Zhejiang Province, People's Republic of China.
Keqin DingNingbo Municipal Center for Disease Control and Prevention, Ningbo City, Zhejiang Province, People's Republic of China.
Lei XieNingbo Municipal Center for Disease Control and Prevention, Ningbo City, Zhejiang Province, People's Republic of China.
Dongliang ZhangNingbo Municipal Center for Disease Control and Prevention, Ningbo City, Zhejiang Province, People's Republic of China.
Shuli JiaoNingbo Municipal Center for Disease Control and Prevention, Ningbo City, Zhejiang Province, People's Republic of China.
Xuying LaoNingbo Municipal Center for Disease Control and Prevention, Ningbo City, Zhejiang Province, People's Republic of China.
Yi-Chen ChiangState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People's Republic of China.
Yanhua SuState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People's Republic of China.
Benhua ZhaoState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People's Republic of China.
Guozhang XuNingbo Municipal Center for Disease Control and Prevention, Ningbo City, Zhejiang Province, People's Republic of China.
Tianmu ChenState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People's Republic of China.ORCID 0000-0003-0710-5086

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe reported incidence of dengue fever increased dramatically in recent years in China. This study aimed to investigate and to assess the effectiveness of intervention implemented in a dengue outbreak in Ningbo City, Zhejiang Province, China.

methodsData of a dengue outbreak were collected in Ningbo City in China by a field epidemiological survey according to a strict protocol and case definition. Serum specimens of all cases were collected for diagnosis and the virological characteristics were detected by using polymerase chain reaction (PCR) and gene sequencing. Vector surveillance was implemented during the outbreak to collect the larva and adult mosquito densities to calculate the Breteau Index (BI) and human biting rate (HBR), respectively. Data of monthly BI and light-trap density in 2018 were built to calculate the seasonality of the vector. A transmission mathematical model was developed to dynamic the incidence of the disease. The parameters of the model were estimated by the data of the outbreak and vector surveillance data in 2018. The effectiveness of the interventions implemented during the outbreak was assessed by the data and the modelling.

resultsFrom 11 August to 8 September, 2018, a dengue outbreak was reported with 27 confirmed cases in a population of 5536-people community (community A) of Ningbo City. Whole E gene sequences were obtained from 24 cases and were confirmed as dengue virus type 1 (DENV-1). The transmission source of the outbreak was origin from community B where a dengue case having the same E gene sequence was onset on 30 July. Aedes albopictus was the only vector species in the area. The value of BI and HBR was 57.5 and 12 per person per hour respectively on 18 August, 2018 and decreased dramatically after interventions. The transmission model fitted well (χ2 = 6.324, P = 0.388) with the reported cases data. With no intervention, the total simulated number of the cases would be 1728 with a total attack rate (TAR) of 31.21% (95%CI: 29.99%- 32.43%). Case isolation and larva control (LC) have almost the same TAR and duration of outbreak (DO) as no intervention. Different levels of reducing HBR (rHBR) had different effectiveness with TARs ranging from 1.05% to 31.21% and DOs ranging from 27 days to 102 days. Adult vector control (AVC) had a very low TAR and DO. "LC+AVC" had a similar TAR and DO as that of AVC. "rHBR100%+LC", "rHBR100%+AVC", "rHBR100%+LC+AVC" and "rHBR100%+LC+AVC+Iso" had the same effectiveness.

conclusionsWithout intervention, DENV-1 could be transmitted rapidly within a short period of time and leads to high attack rate in community in China. AVC or rHBR should be recommended as primary interventions to control rapid transmission of the dengue virus at the early stage of an outbreak.

Indexed as

Disease OutbreaksAdolescentAdultAedesAgedAged, 80 and overAnimalsChildChinaCitiesCommunicable Disease ControlDengueDengue VirusDisease Transmission, InfectiousEpidemiologic MethodsFemale

Identifiers

PMID31415559
PMCPMC6711548

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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.