Risk of severe coronavirus disease in imported and secondary cases in Zhejiang province, China

J Public Health (Oxf). 2021 Apr 12;43(1):35-41. doi: 10.1093/pubmed/fdaa158.

Abstract

Background: To our knowledge, no previous studies have focused on determining whether the virulence and case fatality rate of the severe acute respiratory coronavirus 2 (SARS-CoV-2) decreases as the virus continues to spread. Hence, our aim was to retrospectively explore the differences in the risk of severe or critical COVID-19 among imported, secondary and tertiary cases in Zhejiang, China.

Methods: We categorized COVID-19 cases reported by hospitals in Zhejiang as first-, second- and third-generation cases. Univariate and multivariate logistic regression analyses were performed to compare disease severity and case generation.

Results: Of 1187 COVID-19 cases, 227 (19.1%, 95% CI: 16.9-21.4) manifested severe or critical illness. The adjusted risk difference for severe or critical illness was lower for second- (odds ratio (OR) = 0.84, 95% confidence interval (CI): 0.52-1.36) and third-generation (OR = 0.55, 95% CI: 0.37-0.83) cases than for first-generation cases. Compared with hospitalized patients, cases identified at centralized isolation locations (OR = 0.62, 95% CI: 0.40-0.97) and those identified through active search or gateway screening (OR = 0.28, 95% CI: 0.08-1.04) were at a lower risk of severe or critical illness.

Conclusions: Second- and third-generation cases of COVID-19 have a lower risk of developing severe or critical illness than first-generation cases.

Keywords: COVID-19; community-acquired infections; coronavirus disease; odds ratio; risk assessment.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Analysis of Variance
  • COVID-19* / classification
  • COVID-19* / epidemiology
  • China / epidemiology
  • Disease Progression
  • Female
  • Humans
  • Incidence
  • Logistic Models
  • Male
  • Middle Aged
  • Retrospective Studies
  • Risk Factors
  • SARS-CoV-2
  • Severity of Illness Index*
  • Sex Factors