| Literature DB >> 35344684 |
Jun Wang1, Yuyang Xu1, Xiaozhen Wang2, Yan Liu1, Xiaoping Zhang1, Jian Du1, Xinren Che1, Wenwen Gu1, Xuechao Zhang1, Wei Jiang1, Yi Wang2.
Abstract
This study aimed to evaluate the implementation and impact of rubella-containing vaccine (RCV) by describing the rubella epidemiology and seroepidemiology in Hangzhou. We collected rubella cases of Hangzhou in the Information System for Disease Control and Prevention in China between 2009 and 2020, and performed a descriptive analysis. We applied a multi-stage stratified random sampling method to recruit participants for serological tests of rubella. Enzyme Linked Immunosorbent Assay (ELISA) was used to detect Immunoglobulin G (IgG) antibodies against rubella in serum samples. Univariate and multivariate analyses are used to detect the association between the level of rubella IgG and related factors. The incidence of rubella cases per million population decreased from 15.8 in 2009 to .1 in 2020. The proportion of rubella cases in women of childbearing age was higher than in men. A total of 4,362 subjects were tested serologically for rubella. The percentage of people whose rubella IgG antibody titers were above the minimum protective level (20 IU/ml) was 80.60% (95% CI: 79.4%-81.8%) and the geometric mean concentration (GMC) for rubella IgG was 58.34 IU/ml. The data indicated that Hangzhou had made good progress toward the elimination of rubella, whereas women of childbearing age still had a higher proportion of rubella cases, which might lead to increased risk of subsequent CRS. The positive rate and GMC of rubella IgG were significantly influenced by age and immunization history of RCV. Therefore, we should stress the importance of pushing forward the campaign for supplementary vaccination of rubella in adults.Entities:
Keywords: China; Rubella; Rubella vaccine; epidemiology
Mesh:
Substances:
Year: 2022 PMID: 35344684 PMCID: PMC9225618 DOI: 10.1080/21645515.2022.2054208
Source DB: PubMed Journal: Hum Vaccin Immunother ISSN: 2164-5515 Impact factor: 4.526
Figure 1.Yearly rubella cases and confirmation status and incidence rate, 2009–2020.
Figure 2.Reported rubella incidence by age group, 2009–2020.
Figure 3.Reported rubella cases distribution by gender and age group.
Rubella vaccination status by age group, 2015–2020
| RCV receipt history | <12 months (n, %) | 1 years (n, %) | 2-4 years (n, %) | 5-9 years (n, %) | 10-19 years (n, %) | 20+years (n, %) | Total (n, %) |
|---|---|---|---|---|---|---|---|
| 0 dose | 5(19.23) | 0 | 0 | 0 | 1(3.70) | 10(3.82) | 16(4.94) |
| 1 dose | 21(80.77) | 3(75) | 0 | 0 | 2(7.41) | 4(1.53) | 30(9.26) |
| 2 doses | 0 | 1(25) | 4(100) | 1(100) | 1(3.70) | 1(.38) | 8(2.47) |
| Unknown | 0 | 0 | 0 | 0 | 23(85.19) | 247(94.27) | 269(83.02) |
| total | 26(100) | 4(100) | 4(100) | 1(100) | 27(100) | 262(100) | 324(100) |
Figure 4.Yearly positive rate for rubella IgG antibody, 2009–2020.
Rubella IgG detection results in population among various groups, 2009–2020
| Variable | Total | Rubella positive | Rubella GMC(IU/ml) | ||
|---|---|---|---|---|---|
| Gender | Χ | ||||
| Male | 2205 | 1770(80.3) | 55.37 | ||
| Female | 2157 | 1745(80.9) | 61.47 | ||
| District | |||||
| Urban | 1496 | 1205(80.5%) | Χ2=0.002 | 56.01 | |
| Rural | 2866 | 2310(80.6%) | 59.26 | ||
| Age(y) | Χ2=450.978 | ||||
| <1 | 505 | 243(48.1) | 14.51 | ||
| 1 | 360 | 309(85.8) | 98.57 | ||
| 2 | 339 | 320(94.4) | 97.87 | ||
| 3-4 | 496 | 460(92.7) | 74.51 | ||
| 5-6 | 413 | 346(83.8) | 59.12 | ||
| 7-9 | 367 | 288(78.5) | 44.61 | ||
| 10-14 | 392 | 308(78.6) | 37.34 | ||
| 15-19 | 502 | 423(84.3) | 54.14 | ||
| 20-29 | 372 | 316(84.9) | 74.30 | ||
| 30-39 | 300 | 252(84.0) | 67.27 | ||
| ≥40 | 316 | 250(78.9) | 44.62 | ||
| Total | 4362 | 3515(80.6) | 58.34 |
Figure 5.Seroepidemiology of rubella IgG in population by age groups.
Figure 6.Seroepidemiology of rubella IgG in population by year.
Association of seroepidemiology of rubella IgG and related variables via multivariate analysis
| The independent variables | Seropositivity of rubella = ya | GMC(IU/ml) of rubella = yb | ||
|---|---|---|---|---|
| OR (95%CI) | OR (95%CI) | |||
| Gender | ||||
| Male | 1 | 1 | ||
| Female | 1.035(.881–1.217) | 0.675 | 1.024(.995–1.06) | 0.104 |
| District | ||||
| Urban | 1 | 1 | ||
| Rural | 1.018(.861–1.203) | 0.835 | 1.033(1.005–1.074) | 0.024 |
| Age(y) | ||||
| <1 | 1 | 1 | ||
| 1 | 0.153(.108–.216) | <.001 | 0.761(.58–.662) | <.001 |
| 2 | 0.055(.034–.09) | <.001 | 1.058(1.044–1.204) | 0.002 |
| 3-4 | 0.072(.049–.106) | <.001 | 1.105(1.143–1.323) | <.001 |
| 5-6 | 0.179(.131–.245) | <.001 | 1.031(.989–1.127) | 0.103 |
| 7-9 | 0.254(.187–.344) | <.001 | 0.968(.876–1.005) | 0.071 |
| 10-14 | 0.253(.188–.341) | <.001 | 0.938(.818–.944) | <.001 |
| 15-19 | 0.173(.128–.232) | <.001 | 0.923(.798–.918) | <.001 |
| 20-29 | 0.163(.117–.228) | <.001 | 1.037(1.001–1.154) | 0.047 |
| 30-39 | 0.175(.122–.25) | <.001 | 1.01(.947–1.102) | 0.581 |
| ≥40 | 0.243(.176–0336) | <.001 | 0.964(.856–.994) | 0.034 |
Logistic regression was used to analyze the associations between the changes in the rate of rubella IgG seropositivity and the related factors.
Linear regression was used to analyze the associations between the changes in the GMC levels of rubella IgG and the related factors.