tetano
Editor, Senior Moderator
Emerg Infect Dis
. 2022 May 17;28(7).
doi: 10.3201/eid2807.212339. Online ahead of print.
Measuring Basic Reproduction Number to Assess Effects of Nonpharmaceutical Interventions on Nosocomial SARS-CoV-2 Transmission
George Shirreff, Jean-Ralph Zahar, Simon Cauchemez, Laura Temime, Lulla Opatowski, EMEA-MESuRS Working Group on the Nosocomial Modelling of SARS-CoV-22
Abstract
Outbreaks of SARS-CoV-2 infection frequently occur in hospitals. Preventing nosocomial infection requires insight into hospital transmission. However, estimates of the basic reproduction number (R[SUB]0[/SUB]) in care facilities are lacking. Analyzing a closely monitored SARS-CoV-2 outbreak in a hospital in early 2020, we estimated the patient-to-patient transmission rate and R[SUB]0[/SUB]. We developed a model for SARS-CoV-2 nosocomial transmission that accounts for stochastic effects and undetected infections and fit it to patient test results. The model formalizes changes in testing capacity over time, and accounts for evolving PCR sensitivity at different stages of infection. R[SUB]0[/SUB] estimates varied considerably across wards, ranging from 3 to 15 in different wards. During the outbreak, the hospital introduced a contact precautions policy. Our results strongly support a reduction in the hospital-level R[SUB]0[/SUB] after this policy was implemented, from 8.7 to 1.3, corresponding to a policy efficacy of 85% and demonstrating the effectiveness of nonpharmaceutical interventions.
Keywords: COVID-19; R0; SARS; SARS-CoV-2; basic reproduction number; contact precautions; coronavirus; coronavirus disease; iterative filtering; long-term care facility; nosocomial infection; patient-to-patient transmission; respiratory infections; severe acute respiratory syndrome coronavirus 2; statistical inference; stochastic modelling; transmission rate; viruses; zoonoses.
. 2022 May 17;28(7).
doi: 10.3201/eid2807.212339. Online ahead of print.
Measuring Basic Reproduction Number to Assess Effects of Nonpharmaceutical Interventions on Nosocomial SARS-CoV-2 Transmission
George Shirreff, Jean-Ralph Zahar, Simon Cauchemez, Laura Temime, Lulla Opatowski, EMEA-MESuRS Working Group on the Nosocomial Modelling of SARS-CoV-22
- PMID: 35580960
- DOI: 10.3201/eid2807.212339
Abstract
Outbreaks of SARS-CoV-2 infection frequently occur in hospitals. Preventing nosocomial infection requires insight into hospital transmission. However, estimates of the basic reproduction number (R[SUB]0[/SUB]) in care facilities are lacking. Analyzing a closely monitored SARS-CoV-2 outbreak in a hospital in early 2020, we estimated the patient-to-patient transmission rate and R[SUB]0[/SUB]. We developed a model for SARS-CoV-2 nosocomial transmission that accounts for stochastic effects and undetected infections and fit it to patient test results. The model formalizes changes in testing capacity over time, and accounts for evolving PCR sensitivity at different stages of infection. R[SUB]0[/SUB] estimates varied considerably across wards, ranging from 3 to 15 in different wards. During the outbreak, the hospital introduced a contact precautions policy. Our results strongly support a reduction in the hospital-level R[SUB]0[/SUB] after this policy was implemented, from 8.7 to 1.3, corresponding to a policy efficacy of 85% and demonstrating the effectiveness of nonpharmaceutical interventions.
Keywords: COVID-19; R0; SARS; SARS-CoV-2; basic reproduction number; contact precautions; coronavirus; coronavirus disease; iterative filtering; long-term care facility; nosocomial infection; patient-to-patient transmission; respiratory infections; severe acute respiratory syndrome coronavirus 2; statistical inference; stochastic modelling; transmission rate; viruses; zoonoses.