Overlapping of Independent SARS-CoV-2 Nosocomial Transmissions in a Complex Outbreak

mSphere. 2021 Aug 25;6(4):e0038921. doi: 10.1128/mSphere.00389-21. Epub 2021 Aug 4.

Abstract

SARS-CoV-2 nosocomial outbreaks in the first COVID-19 wave were likely associated with a shortage of personal protective equipment and scarce indications on control measures. Having covered these limitations, updates on current SARS-CoV-2 nosocomial outbreaks are required. We carried out an in-depth analysis of a 27-day nosocomial outbreak in a gastroenterology ward in our hospital, potentially involving 15 patients and 3 health care workers. Patients had stayed in one of three neighboring rooms in the ward. The severity of the infections in six of the cases and a high fatality rate made the clinicians suspect the possible involvement of a single virulent strain persisting in those rooms. Whole-genome sequencing (WGS) of the strains from 12 patients and 1 health care worker revealed an unexpected complexity. Five different SARS-CoV-2 strains were identified, two infecting a single patient each, ruling out their relationship with the outbreak; the remaining three strains were involved in three independent, overlapping, limited transmission clusters with three, three, and five cases. Whole-genome sequencing was key to understand the complexity of this outbreak. IMPORTANCE We report a complex epidemiological scenario of a nosocomial COVID-19 outbreak in the second wave, based on WGS analysis. Initially, standard epidemiological findings led to the assumption of a homogeneous outbreak caused by a single SARS-CoV-2 strain. The discriminatory power of WGS offered a strikingly different perspective consisting of five introductions of different strains, with only half of them causing secondary cases in three independent overlapping clusters. Our study exemplifies how complex the SARS-CoV-2 transmission in the nosocomial setting during the second COVID-19 wave occurred and leads to extending the analysis of outbreaks beyond the initial epidemiological assumptions.

Keywords: COVID-19; SARS-CoV-2; genomic epidemiology; nosocomial transmission.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • COVID-19 / epidemiology*
  • COVID-19 / transmission*
  • COVID-19 / virology
  • Cross Infection / epidemiology*
  • Cross Infection / transmission*
  • Cross Infection / virology
  • Disease Outbreaks / prevention & control
  • Female
  • Genome, Viral / genetics
  • Health Personnel
  • Hospitals
  • Humans
  • Male
  • Middle Aged
  • Phylogeny
  • SARS-CoV-2 / genetics
  • SARS-CoV-2 / pathogenicity*
  • Whole Genome Sequencing / methods
  • Young Adult