| Literature DB >> 32112886 |
Sijia Tian1, Nan Hu2, Jing Lou1, Kun Chen3, Xuqin Kang1, Zhenjun Xiang2, Hui Chen2, Dali Wang4, Ning Liu5, Dong Liu6, Gang Chen7, Yongliang Zhang8, Dou Li2, Jianren Li2, Huixin Lian1, Shengmei Niu1, Luxi Zhang1, Jinjun Zhang9.
Abstract
BACKGROUND: Since the first case of a novel coronavirus (COVID-19) infection pneumonia was detected in Wuhan, China, a series of confirmed cases of the COVID-19 were found in Beijing. We analyzed the data of 262 confirmed cases to determine the clinical and epidemiological characteristics of COVID-19 in Beijing.Entities:
Keywords: 2019-nCoV; Beijing; COVID-19; Characteristics
Mesh:
Year: 2020 PMID: 32112886 PMCID: PMC7102527 DOI: 10.1016/j.jinf.2020.02.018
Source DB: PubMed Journal: J Infect ISSN: 0163-4453 Impact factor: 6.072
. Characteristics of COVID-19 infection in Beijing.
| Characteristics | All cases ( | Severe ( | Common ( | |
|---|---|---|---|---|
| Age, Median (range), years | 47.5(1–94) | 61.4(1–94) | 44.5(1–93) | <0.001 |
| Age groups, | <0.001 | |||
| <1 | 3(1.1) | 1(2.2) | 2(0.9) | |
| 1–12 | 8(3.1) | 0(0.0) | 8(3.7) | |
| 13–44 | 112(42.7) | 9(19.6) | 103(47.7) | |
| 45–64 | 91(34.7) | 16(34.8) | 75(34.7) | |
| ≥65 | 48(18.3) | 20(43.5) | 28(13.0) | |
| Male, | 127(48.5) | 26(56.5) | 101(46.8) | 0.230 |
| Resident address, | 0.239 | |||
| Beijing | 192(73.3) | 39(84.8) | 153(70.8) | |
| Wuhan | 53(20.2) | 5(10.9) | 48(22.2) | |
| Other | 17(6.5) | 2(4.3) | 15(6.9) | |
| Signs and symptoms, | ||||
| Fever | 215(82.1) | 37(80.4) | 178(82.4) | 0.752 |
| Highest temperature,℃ | 0.688 | |||
| <37.3 | 47(17.9) | 9(19.6) | 38(17.6) | |
| 37.3–38.0 | 110(42) | 16(34.8) | 94(43.5) | |
| 38.1–39.0 | 96(36.6) | 20(43.5) | 76(35.2) | |
| >39.0 | 9(3.4) | 1(2.2) | 8(3.7) | |
| Cough | 120(45.8) | 25(54.3) | 95(44.0) | 0.201 |
| Fatigue | 69(26.3) | 15(32.6) | 54(25.0) | 0.288 |
| Dyspnea | 18(6.9) | 15(32.6) | 3(1.4) | <0.001 |
| Headache | 17(6.5) | 3(6.5) | 14(6.5) | 0.992 |
| Respiratory rate | 124.5 ± 14.8 | 126.1 ± 16.4 | 123.7 ± 14.4 | 0.333 |
| History of contact, n(%) | 241(92.0) | 41(89.1) | 200(92.6) | 0.433 |
| Have been to Wuhan in 14 days | 106(40.5) | 13(28.3) | 93(43.1) | 0.064 |
| Contacted to symptomatic case in 14 days | 129(49.2) | 26(56.5) | 103(47.7) | 0.277 |
| Days from contact to illness onset | 6.7 ± 5.2 | 7.5 ± 7.2 | 6.5 ± 4.6 | 0.373 |
| Days from illness onset to visit hospital | 4.5 ± 3.7 | 5.2 ± 4.6 | 4.4 ± 3.5 | 0.293 |
| Days from visit hospital to defined | 2.1 ± 1.9 | 2.1 ± 1.6 | 2.1 ± 1.9 | 0.863 |
| Cluster case, | 176(67.2) | 32(69.6) | 144(66.7) | 0.704 |
| Family | 133(50.8) | 24(52.2) | 109(50.5) | 0.833 |
| Other | 43(16.4) | 8(17.4) | 35(16.2) | 0.844 |
| Outcome, n(%) | 0.001 | |||
| Discharge | 45(17.2) | 2(4.3) | 43(19.9) | |
| Hospitalization | 214(81.7) | 41(89.1) | 173(80.1) | |
| Death | 3(0.9 | 3(6.5) | 0(0.0) | |
The ratio was 3 of 342 confirmed cases which was defined in Beijing by Feb 10, 2020.
Fig. 1Change of imported cases.
*A patient who have been to Wuhan; B patient who have contacted to symptomatic cases.
Fig. 2. Patients flow and enrollment.
Fig. 3Top 10 provinces in China for accumulative COVID-19 cases. A. Daily new confirmed cases of COVID-19 and SARS in China; B. Accumulated confirmed case of COVID-19 and SARS in China.
Fig. 4Comparison of COVID-19 and 2003 SARS in China.