Evidence map›Paper›PMID 30533054›Full record

ArticlePloS one2018

Epidemiological profile of dengue in Zhejiang Province, southeast China.

Jiangping Ren, Feng Ling, Jimin Sun, Zhenyu Gong, Ying Liu, Xuguang Shi, Rong Zhang, Yujia Zhai, Enfu Chen, Zhiping Chen

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Entomological Investigation and Detection of Dengue Virus Type 1 inFrontiers in cellular and infection microbiology · 2022
    Article
  11. Article
  12. Resistance of House Fly,The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2019
    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

10 authors.

Jiangping RenZhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, China.
Feng LingZhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, China.
Jimin SunZhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, China.
Zhenyu GongZhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, China.
Ying LiuZhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, China.
Xuguang ShiZhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, China.
Rong ZhangZhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, China.
Yujia ZhaiZhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, China.
Enfu ChenZhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, China.
Zhiping ChenZhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDengue is one of the most important vector-bore infectious diseases in China because of its drastic increase in incidence, geographic extension and profound influence on China's economy. This study aims to retrospectively uncover the epidemiological profile of dengue in Zhejiang, one of the most developed provinces in China, and to find the problem existing in dengue control and prevention. METHODOLOGY: Descriptive analyses on the dengue incidence and associated factors were performed. We also identified potential space-time cluster and generated the risk map of dengue. PRINCIPAL

findingsA total of 529 cases were reported in Zhejiang Province from 2005 to 2016, and 44.4% were imported. 67.7% of cases were 25~60 years old and the overall male-to-female sex ratio was 1.09:1. Dengue was reported all year round and 70.7% of cases occurred between August and October. Indigenous cases were only reported in the period between July to November and more than half occurred in September. Geographically, dengue was most distributed in Jinghua (3.62 per million), Shaoxing (1.00 per million) and Taizhou (0.81 per million) prefecture level cities. Outbreaks were confirmed in Yiwu, Keqiao and Huangyan counties in 2009, 2015, and 2016, respectively. 73.9% cases would seek medical advice within two days after onset and be confirmed within 9 days after onset. 75.6% would be recognized as dengue within 8 days after their first visit. The time intervals between onset and confirmation (median 7 vs 6 days; Wilcoxon rank sum test Z = -2.40, P = 0.016), first visit and confirmation (median 7 vs 6 days; Wilcoxon rank sum test Z = -2.59, P = 0.009) of indigenous cases were significantly longer than those of imported ones. However, the time intervals between onset and first visit for indigenous cases was shorter (median 0 vs 1 days; Wilcoxon rank sum test Z = -2.10, P = 0.036). Fever (99.1%), fatigue (81.9), rash (63.7%), headache (67.2%) and myalgia (52.60%) were the most frequently mentioned symptoms.

conclusionsZhejiang has recently witnessed an increase in incidence and geographic extension of dengue. Timely diagnosis is important to stop local transmission and outbreak.

Indexed as

AdolescentAdultChinaDengueDisease OutbreaksFemaleHumansIncidenceMaleMiddle AgedYoung Adult

Identifiers

PMID30533054
PMCPMC6289432

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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.