| Literature DB >> 34952625 |
Weihong Li1, Hanqiu Yan1, Baiwei Liu1, Yi Tian1, Yanwei Chen1, Lei Jia1, Zhiyong Gao2, Quanyi Wang3.
Abstract
BACKGROUND: Human noroviruses are the leading cause of sporadic cases and outbreaks of viral acute gastroenteritis in all age groups worldwide.Entities:
Keywords: Children; Diarrhea; Genotypes; Norovirus; Outpatient
Year: 2021 PMID: 34952625 PMCID: PMC8709959 DOI: 10.1186/s13099-021-00473-x
Source DB: PubMed Journal: Gut Pathog ISSN: 1757-4749 Impact factor: 4.181
Demographic characteristics of norovirus infections among outpatient children with diarrhea in Beijing, 2011–2018
| Demographic characteristics | Total number | Number of Norovirus positive (%) | OR | 95% | |
|---|---|---|---|---|---|
| Gender | |||||
| Male | 3063 | 516 (16.8%) | 1.00 | Reference | |
| Female | 1848 | 293 (15.9%) | 0.93 | 0.80–1.09 | 0.364 |
| Age (months) | |||||
| 0–5 | 1292 | 130 (10.1%) | 1.00 | Reference | |
| 6–11 | 1441 | 253 (17.6%) | 1.90 | 1.51–2.39 | < 0.01 |
| 12–23 | 1421 | 319 (22.4%) | 2.59 | 2.08–3.22 | < 0.01 |
| 24–35 | 400 | 59 (14.8%) | 1.55 | 1.11–2.15 | 0.009 |
| 36–47 | 225 | 37 (16.4%) | 1.76 | 1.18–2.62 | 0.005 |
| 48–59 | 132 | 11 (8.3%) | 0.81 | 0.43–1.55 | 0.527 |
| Living area | |||||
| Urban | 3323 | 542 (16.3%) | 1.00 | Reference | |
| Rural | 1588 | 267 (16.8%) | 1.04 | 0.88–1.22 | 0.657 |
| Year | |||||
| 2011 | 596 | 113 (19.0%) | 1.00 | Reference | |
| 2012 | 652 | 112 (17.2%) | 0.89 | 0.66–1.18 | 0.419 |
| 2013 | 639 | 95 (14.9%) | 0.75 | 0.55–1.01 | 0.057 |
| 2014 | 548 | 85 (15.5%) | 0.78 | 0.58–1.07 | 0.137 |
| 2015 | 570 | 89 (15.6%) | 0.79 | 0.58–1.07 | 0.142 |
| 2016 | 718 | 107 (14.9%) | 0.75 | 0.56–1.00 | 0.054 |
| 2017 | 621 | 107 (17.2%) | 0.89 | 0.66–1.19 | 0.457 |
| 2018 | 567 | 101 (17.8%) | 0.93 | 0.69–1.25 | 0.650 |
| Season | |||||
| Spring | 1225 | 180 (14.7%) | 0.75 | 0.60–0.93 | 0.009 |
| Summer | 1280 | 121 (9.5%) | 0.45 | 0.36–0.58 | < 0.001 |
| Autumn | 1250 | 292 (23.3%) | 1.33 | 1.09–1.62 | 0.005 |
| Winter | 1156 | 216 (18.7%) | 1.00 | Reference | |
Fig. 1Monthly distribution of norovirus infections among outpatient children with diarrhea in Beijing, 2011–2018
Norovirus dual types among outpatient children with diarrhea in Beijing, 2011–2018
| Genotype[P-type] | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | Total |
|---|---|---|---|---|---|---|---|---|---|
| GI.5[P4] | – | – | – | – | – | – | – | 1(1.7) | 1(0.2) |
| GII.1[P16] | – | – | – | – | – | – | – | 1(1.7) | 1(0.2) |
| GII.1[P33] | – | – | 1(1.8) | – | – | – | – | – | 1(0.2) |
| GII.2[P2] | – | – | - | 3(4.9) | 1(1.6) | 2(3.1) | – | – | 6(1.3) |
| GII.2[P12] | – | – | - | 1(1.6) | – | – | – | – | 1(0.2) |
| GII.2[P16] | – | – | - | – | – | – | 20(27.7) | 3(5.1) | 23(5.0) |
| GII.3[P12] | 6(21.4) | 18(31.0) | 26(45.6) | 13(21.3) | 6(9.5) | 17(26.2) | 12(16.7) | 13(22.0) | 111(24.0) |
| GII.3[P21] | 2(7.1) | - | – | – | – | – | – | – | 2(0.4) |
| GII.3[P4 2006b] | 2(7.1) | - | – | – | – | – | – | – | 2(0.4) |
| GII.4 2006b[P4 2006b] | 14(50.0) | 20(34.5) | – | – | – | – | – | – | 34(7.3) |
| GII.4 unassigned[P4 2006b] | 3(10.7) | 5(8.6) | – | – | – | – | – | – | 8(1.7) |
| GII.4 2009[P4 2009] | 1(3.6) | 2(3.4) | – | – | – | – | – | – | 3(0.6) |
| GII.4 Sydney[P31] | – | 13(22.4) | 28(49.1) | 38(62.3) | 48(76.2) | 36(55.4) | 39(54.2) | 37(62.7) | 239(51.6) |
| GII.6[P7] | – | - | 2(3.5) | 5(8.2) | 1(1.6) | 3(4.6) | – | 1(1.7) | 12(2.6) |
| GII.7[P7] | – | – | – | – | 4(6.2) | – | – | 4(0.9) | |
| GII.8[P8] | – | – | – | – | – | 1(1.5) | – | – | 1(0.2) |
| GII.13[P16] | – | – | – | - | 1(1.6) | - | – | – | 1(0.2) |
| GII.17[P17] | – | – | – | 1(1.6) | 6(9.5) | 1(1.5) | 1(1.4) | 3(5.1) | 12(2.6) |
| GII.21[P21] | – | – | – | - | - | 1(1.5) | – | – | 1(0.2) |
| Total | 28(100.0) | 58(100.0) | 57(100.0) | 61(100.0) | 63(100.0) | 65(100.0) | 72(100.0) | 59(100.0) | 463 (100.0) |
N Norovirus positive numbers, m% Constituent ratio of each genotype
Norovirus dual types distribution by age group among outpatient children with diarrhea in Beijing, 2011–2018
| Genotype[P-type] | 0–5 | 6–11 | 12–23 | 24–35 | 36–47 | 48–57 | Total |
|---|---|---|---|---|---|---|---|
| GI.5[P4] | – | – | – | – | 1(2.7) | – | 1(0.1) |
| GII.1[P16] | – | – | 1(0.3) | – | – | – | 1(0.1) |
| GII.1[P33] | 1(0.8) | – | – | – | – | – | 1(0.1) |
| GII.2[P2] | – | 2(0.8) | 2(0.6) | - | 1(2.7) | 1(9.1) | 6(0.7) |
| GII.2[P12] | 1(0.8) | – | – | – | – | – | 1(0.1) |
| GII.2[P16] | – | 5(2.0) | 12(3.8) | 5(8.5) | 1(2.7) | – | 23(2.8) |
| GII.3[P4 2006b] | 1(0.8) | 1(0.4) | – | – | – | – | 2(0.2) |
| GII.3[P12] | 29(22.3) | 37(14.6) | 37(11.6) | 5(8.5) | 3(8.1) | – | 111(13.7) |
| GII.3[P21] | 1(0.8) | – | 1(0.3) | – | – | – | 2(0.2) |
| GII.4 2006b[P4 2006b] | 4(3.1) | 12(4.7) | 15(4.7) | 1(1.7) | 2(5.4) | – | 34(4.2) |
| GII.4 unassigned[P4 2006b] | – | 3(1.2) | 3(0.9) | 2(3.3) | – | – | 8(0.9) |
| GII.4 2009[P4 2009] | 1(0.8) | 1(0.4) | 1(0.3) | – | – | – | 3(0.4) |
| GII.4 Sydney[P31] | 22(16.9) | 75(29.6) | 111(34.8) | 18(30.5) | 9 (24.3) | 4(36.4) | 239(29.5) |
| GII.6[P7] | 2(1.5) | 5(2.0) | 4(1.3) | 1(1.7) | – | – | 12(1.5) |
| GII.7[P7] | – | – | – | 1(1.7) | 3(8.1) | – | 4(0.5) |
| GII.8[P8] | – | – | 1(0.3) | – | – | – | 1(0.1) |
| GII.13[P16] | – | – | 1(0.3) | – | – | – | 1(0.1) |
| GII.17[P17] | – | 2(0.8) | 7(2.2) | – | 2(5.4) | 1(9.1) | 12(1.5) |
| GII.21[P21] | – | – | 1(0.3) | – | – | – | 1(0.1) |
| Untyped | 68(52.3) | 110(43.5) | 122(38.2) | 26(44.1) | 15(40.5) | 5(45.5) | 346(42.8) |
| Total | 130(100.0) | 253(100.0) | 319(100.0) | 59(100.0) | 37(100.0) | 11(100.0) | 809(100.0) |
N Norovirus positive numbers, m% Constituent ratio of each genotype
Fig. 2Maximum-likelihood phylogenetic analysis of norovirus based on partial capsid and RdRp genes. A partial capsid genes (282 bp) of norovirus strains from 2011 to 2018, B partial RdRp (274 bp) genes of norovirus strains from 2011 to 2015 C partial RdRp genes (262 bp) of norovirus strains from 2016 to 2018. The black triangles in A, B and C indicate reference strains. The tree was constructed in MEGA-X with 1, 000 bootstrap replicates. Bootstrap values less than 75% are not displayed. The best nucleotide substitution model which producing the lowest BIC (Bayesian information criterion) was determined by the maximum likelihood model testing tool, and the K2 + G (Kimura two-parameter method and gamma distribution) model was selected to be the best fit mode