| Literature DB >> 31618821 |
Yujuan Yue1, Qiyong Liu2.
Abstract
Epidemiological characteristics of domestic imported dengue fever in mainland China, 2014-2018, including time-series, spatial mobility and crowd features, were analyzed. There existed seasonal characteristics from August to November. The 872 domestic imported cases from 8 provinces, located in the southeastern, southwestern and southern coastal or border areas, were imported to 267 counties in 20 provinces of mainland China, located in the outer areas along the southwest-northeast line. The 628 domestic imported cases were still imported to the adjacent counties in the provinces themselves, 234 domestic imported cases were imported to 12 other provinces except the 8 original exported provinces, 493 cases in 2014 reached the peak, and 816 domestic imported cases were from Guangdong (675) and Yunnan (141). Domestic imported cases from Guangdong were imported to 218 counties, and 475 cases from Guangdong were imported to the adjacent counties in Guangdong itself. There were more male cases than female cases except in 2016. Domestic imported cases were clustered from 21 to 50 years old. The top three cases were from farmer, worker and housework or unemployed. The findings are helpful to formulate targeted, strategic plans and implement effective public health prevention and control measures.Entities:
Keywords: crowd; domestic imported dengue fever; epidemiological characteristics; spatial; time
Mesh:
Year: 2019 PMID: 31618821 PMCID: PMC6843754 DOI: 10.3390/ijerph16203901
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Time-series mapping of domestic imported dengue cases (domestic imported dengue cases were among June to December during 2014–2018).
Figure 2Cases and counties in central exported locations.
Exported locations to imported locations.
| Exported Location | Cases | Numbers of Exported Counties | Numbers of Imported Provinces | Numbers of Imported Counties |
|---|---|---|---|---|
| Zhejiang | 19 | 6 | 3 | 8 |
| Aihui | 1 | 1 | 1 | 1 |
| Fujian | 17 | 5 | 3 | 9 |
| Hunan | 1 | 1 | 1 | 1 |
| Guangdong | 675 | 36 | 18 | 218 |
| Guangxi | 14 | 4 | 3 | 10 |
| Hainan | 4 | 1 | 3 | 4 |
| Yunnan | 141 | 6 | 13 | 37 |
Figure 3Spatial mapping of domestic imported dengue cases. (a) Spatial distribution of exported cases. (b) Spatial distribution of imported cases. (c) Cases from GD. (d) Cases from YN. (Note: YN: Yunnan; GD: Guangdong; GX: Guangxi; HN: Hainan; FJ: Fujian; SC: Sichuan; CQ: Chongqing; HuN: Hunan; HuB: Hubei; JX: Jiangxi; ZJ: Zhejiang; AH: Aihui; JS: Jiangsu; SH: Shanghai; HeN: Henan; HB: Hebei; SD: Shandong; SX: Shanxi; BJ: Beijing; HLJ: Heilongjiang).
Gender distribution of domestic imported dengue fever from 2014–2018.
| Year | Male Cases | Female Cases |
|---|---|---|
| 2014 | 317 | 176 |
| 2015 | 41 | 29 |
| 2016 | 10 | 22 |
| 2017 | 79 | 56 |
| 2018 | 75 | 67 |
Age group distribution of domestic imported dengue fever from 2014–2018.
| Age Group | Cases in 2014 | Cases in 2015 | Cases in 2016 | Cases in 2017 | Cases in 2018 |
|---|---|---|---|---|---|
| 0–10 | 8 | 0 | 1 | 2 | 2 |
| 11–20 | 65 | 11 | 3 | 19 | 17 |
| 21–30 | 164 | 15 | 6 | 39 | 46 |
| 31–40 | 114 | 16 | 1 | 34 | 31 |
| 41–50 | 85 | 15 | 9 | 24 | 26 |
| 51–60 | 38 | 11 | 6 | 13 | 15 |
| 61–70 | 13 | 2 | 5 | 3 | 4 |
| 71+ | 6 | 0 | 1 | 1 | 1 |
Career distribution of domestic imported dengue fever from 2014–2018.
| Career | Cases in 2014 | Cases in 2015 | Cases in 2016 | Cases in 2017 | Cases in 2018 |
|---|---|---|---|---|---|
| Cadre | 16 | 5 | 2 | 12 | 7 |
| Worker | 64 | 7 | 5 | 20 | 21 |
| Housework or unemployed | 79 | 4 | 5 | 12 | 17 |
| Retiree | 7 | 4 | 1 | 5 | 4 |
| Migrant laborer | 37 | 6 | 0 | 5 | 4 |
| Farmer | 115 | 19 | 8 | 32 | 39 |
| Businessman | 47 | 9 | 1 | 21 | 18 |
| Student | 56 | 7 | 3 | 9 | 10 |
| Medical staff | 3 | 2 | 2 | 4 | 2 |
| Else | 24 | 3 | 0 | 5 | 7 |
| Unavailable | 45 | 4 | 5 | 10 | 13 |
Figure 4Time-series mapping of monthly indigenous dengue cases.