| Literature DB >> 30533054 |
Jiangping Ren1,2,3, Feng Ling1,2, Jimin Sun1,2, Zhenyu Gong1,2, Ying Liu1, Xuguang Shi1, Rong Zhang1, Yujia Zhai1, Enfu Chen1,2, Zhiping Chen1.
Abstract
BACKGROUND: Dengue 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.Entities:
Mesh:
Year: 2018 PMID: 30533054 PMCID: PMC6289432 DOI: 10.1371/journal.pone.0208810
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
The characteristic of dengue cases in Zhejiang Province from 2005 to 2016.
| Characteristic | Imported | Indigenous | Total | |
|---|---|---|---|---|
| 35 (34, 37) | 47 (45, 50) | 42 (40,44) | ||
| 151(64.3%) | 125(42.5%) | 276(52.2%) | ||
| 84(35.7%) | 169(57.5%) | 253(47.8%) | ||
| 19(8.09%) | 173(58.8%) | 192(36.3%) | ||
| 77(32.8%) | 13(4.42%) | 90(17.0%) | ||
| 37(15.7%) | 30(10.2%) | 67(12.7%) | ||
| 20(8.51%) | 22(7.48%) | 42(7.94%) | ||
| 16(6.81%) | 24(8.16%) | 40(7.56%) | ||
| 28(11.9%) | 3(1.02%) | 31(5.86%) | ||
| 8(3.40%) | 6(2.04%) | 14(2.65%) | ||
| 30(12.8%) | 23(7.82%) | 53(10.0%) | ||
| 1(0, 2) | 0(0, 1) | 1(0, 2) | ||
| 6(4, 8) | 7(4, 14) | 6(4, 10) | ||
| 6(4, 8) | 7(4, 10) | 6(4, 8) | ||
Fig 1The dengue incidence for people at different age in Zhejiang Province.
Fig 2The incidence of dengue cases and the numbers of affected areas in Zhejiang Province from 2005 to 2016.
Fig 3The monthly distribution of imported and indigenous dengue cases in Zhejiang Province from 2005 to 2016.
Fig 4The geographic distribution and space-time cluster of dengue cases in Zhejiang Province from 2005 to 2016.
Fig 5The clinical spectrum of dengue cases in Zhejiang Province from 2005 to 2016.
The relationship between the age and part of symptoms of dengue cases in Zhejiang Province during 2005 to 2016.
| Symptoms | 26–45 years old | >45 years old | ||||||
|---|---|---|---|---|---|---|---|---|
| n/N (%) | χ | n/N(%) | χ2 | |||||
| 92/154(59.7%) | 7.95 | 0.005 | 0.404(0.215,0.759) | 49/98(50%) | 2.23 | 0.135 | 0.600(0.307,1.173) | |
| 64/152(42.1%) | 5.03 | 0.025 | 0.447(0.221,0.903) | 44/96(45.8%) | 6.36 | 0.012 | 0.384(0.183,0.808) | |
| 8/133(6.02%) | 3.44 | 0.063 | 2.804(0.956, 8.227) | 1/69(1.45%) | 5.29 | 0.021 | 12.205(1.448,102.905) | |
| 6/127(4.72%) | 6.42 | 0.011 | 4.233(1.386,12.930) | 0/69(0%) | 0.00 | 0.997 | _ | |
| 60/138(43.5%) | 2.72 | 0.099 | 1.755(0.899,3.426) | 19/70(27.1%) | 10.41 | 0.001 | 3.624(1.657,7.922) | |
* The dengue cases were divide into three groups according to their ages: 0–25 years old, 26–45 years old and >45 years old; cases aged 25 year or below was taken as reference.
Θ Hemorrhagic manifestations: positive tourniquet test, petechiae, conjunctival hemorrhage, epistaxis, gum bleeding, hematemesis, hematochezia or hematuria.