Epidemiological and clinical characteristics of 161 discharged cases with coronavirus disease 2019 in Shanghai, China
- PMID: 33081711
- PMCID: PMC7573864
- DOI: 10.1186/s12879-020-05493-7
Epidemiological and clinical characteristics of 161 discharged cases with coronavirus disease 2019 in Shanghai, China
Abstract
Background: In December 2019, the outbreak of coronavirus disease 2019 (COVID-19) began in Wuhan, China, and rapidly spread to other regions. We aimed to further describe the epidemiological and clinical characteristics of discharged COVID-19 cases and evaluate the public health interventions.
Methods: We collected epidemiological and clinical data of all discharged COVID-19 cases as of 17 February 2020 in Shanghai. The key epidemiological distributions were estimated and outcomes were also compared between patients whose illness were before 24 January and those whose illness were after 24 January.
Results: Of 161 discharged COVID-19 cases, the median age was 45 years, and 80 (49.7%) cases were male. All of the cases were categorized as clinical moderate type. The most common initial symptoms were fever (85.7%), cough (41.0%), fatigue (19.3%), muscle ache (17.4%), sputum production (14.9%), and there were six asymptomatic cases. 39 (24.2%) cases got infected in Shanghai, and three of them were second-generation cases of Shanghai native cases. The estimated median of the time from onset to first medical visit, admission, disease confirmation, and discharge for 161 cases was 1.0 day (95% CI, 0.6-1.2), 2.0 days (95% CI, 1.5-2.6), 5.2 days (95% CI, 4.6-5.7), 18.1 days (95% CI, 17.4-18.8), respectively. The estimated median of the time from admission to discharge was 14.0 days (95% CI, 13.3-14.6). The time from onset to first medical visit, admission and disease confirmation were all shortened after the Shanghai's first-level public health emergency response. In Cox regression model, the significant independent covariates for the duration of hospitalization were age, the time from onset to admission and the first-level public health emergency response.
Conclusions: Local transmission had occurred in Shanghai in late January 2020. The estimated median of the time from onset to discharge of moderate COVID-19 was 18.1 days in Shanghai. Time intervals from onset to first medical visit, admission and disease confirmation were all shortened after the Shanghai's first-level public health emergency response. Age, the first-level public health emergency response and the time from onset to admission were the impact factors for the duration of hospitalization.
Keywords: Clinical characteristics; Coronavirus disease 2019; Epidemiology; First-level public health emergency response; Transmission.
Conflict of interest statement
The authors declare that they have no competing interests.
Figures



Similar articles
-
Epidemiological and clinical characteristics of 333 confirmed cases with coronavirus disease 2019 in Shanghai, China.Transbound Emerg Dis. 2020 Jul;67(4):1697-1707. doi: 10.1111/tbed.13604. Epub 2020 May 13. Transbound Emerg Dis. 2020. PMID: 32351037 Free PMC article.
-
Epidemiological characteristics and clinical features of 32 critical and 67 noncritical cases of COVID-19 in Chengdu.J Clin Virol. 2020 Jun;127:104366. doi: 10.1016/j.jcv.2020.104366. Epub 2020 Apr 10. J Clin Virol. 2020. PMID: 32302954 Free PMC article.
-
Characteristics of COVID-19 infection in Beijing.J Infect. 2020 Apr;80(4):401-406. doi: 10.1016/j.jinf.2020.02.018. Epub 2020 Feb 27. J Infect. 2020. PMID: 32112886 Free PMC article.
-
Maternal and infant outcomes of full-term pregnancy combined with COVID-2019 in Wuhan, China: retrospective case series.Arch Gynecol Obstet. 2020 Sep;302(3):545-551. doi: 10.1007/s00404-020-05573-8. Epub 2020 Jul 21. Arch Gynecol Obstet. 2020. PMID: 32696241 Free PMC article. Review.
-
COVID-19 epidemic: Disease characteristics in children.J Med Virol. 2020 Jul;92(7):747-754. doi: 10.1002/jmv.25807. Epub 2020 Apr 15. J Med Virol. 2020. PMID: 32232980 Free PMC article. Review.
Cited by
-
Neurological complications and effects of COVID-19: Symptoms and conceivable mechanisms.Brain Hemorrhages. 2023 Sep;4(3):154-173. doi: 10.1016/j.hest.2023.02.001. Brain Hemorrhages. 2023. PMID: 36789140 Free PMC article. Review.
-
Data interpretation and visualization of COVID-19 cases using R programming.Inform Med Unlocked. 2021;26:100705. doi: 10.1016/j.imu.2021.100705. Epub 2021 Aug 30. Inform Med Unlocked. 2021. PMID: 34485681 Free PMC article.
-
Which Matters More in Fighting COVID-19-Government Policy or Community Participation?Front Public Health. 2022 Jul 12;10:927553. doi: 10.3389/fpubh.2022.927553. eCollection 2022. Front Public Health. 2022. PMID: 35903372 Free PMC article.
-
Asymptomatic SARS-CoV-2 infection: A systematic review and meta-analysis.Proc Natl Acad Sci U S A. 2021 Aug 24;118(34):e2109229118. doi: 10.1073/pnas.2109229118. Proc Natl Acad Sci U S A. 2021. PMID: 34376550 Free PMC article.
-
Patient delay in a coronavirus disease 2019 (COVID-19) outbreak in Tianjin, China from January to February 2020.J Formos Med Assoc. 2022 Jul;121(7):1248-1256. doi: 10.1016/j.jfma.2021.11.003. Epub 2021 Nov 11. J Formos Med Assoc. 2022. PMID: 34802833 Free PMC article.
References
-
- World Health Organization . Question and answer on coronaviruses (COVID-19) 2020.
-
- World Health Organization. Coronavirus disease 2019 (COVID-19) Situation reports-29. https://www.who.int/docs/default-source/coronaviruse/situation-reports/2.... Accessed 20 Feb 20 2020.
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources