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. 2023 Jul 19;20(7):e1004268. doi: 10.1371/journal.pmed.1004268

Correction: Collateral impacts of pandemic COVID-19 drive the nosocomial spread of antibiotic resistance: A modelling study

The PLOS Medicine Staff
PMCID: PMC10356153  PMID: 37467450

There is an error in the shading of Table 1. Please see the correct Table 1 below. The publisher apologizes for the error.

Table 1. Responses to COVID-19 included in the transmission model.

See Methods for description of how COVID-19 response parameters are implemented in model equations. Rows describing policy responses are shaded blue, and rows describing caseload responses are shaded grey. Symptomatic refers to COVID-19 symptoms among individuals infected with SARS-CoV-2. COVID-19; Coronavirus Disease 2019; HCW, healthcare worker; IPC, infection prevention and control; PPE, personal protective equipment; SARS-CoV-2, Severe Acute Respiratory Syndrome Coronavirus 2.

COVID-19 response Evidence Model implementation Category/Cause Interpretation
τ = 0 τ = 1
τas Abandoned stewardship Reduction in antibiotic stewardship activities [17] Increased proportion of patients exposed to antibiotics (A) Antibiotics/Caseload No change in antibiotic use Large increase in antibiotic use during COVID-19 surges
τcp COVID-19 prescribing COVID-19 patients receive high rates of antibiotic prescription [18] Increased proportion of symptomatic COVID-19 patients exposed to antibiotics (AI) Antibiotics/Policy No excess antibiotic prescribing among symptomatic patients All symptomatic patients receive antibiotics
τcd Care disorganization Compromised ability of HCWs to adhere to IPC best practices (e.g., due to increased workload, PPE shortages) [14] Increased daily rate of at-risk patient–HCW contact (κpat→hcw) Contact/Caseload No change in contact behaviour Large increase in at-risk patient–HCW contact during COVID-19 surges
τpl Patient lockdown Social interactions among patients limited or forbidden [19] Decreased daily rate of patient–patient contact (κpat→pat) Contact/Policy No change in contact behaviour Elimination of all patient–patient contact
τum Universal masking HCWs and patients wear face masks to prevent transmission [20] Decreased SARS-CoV-2 transmissibility per contact (πV) IPC/Policy No change in SARS-CoV-2 transmissibility SARS-CoV-2 rendered nontransmissible (perfect mask effectiveness)
τhh Hand hygiene Increase in HCW handwashing performance [21] Increased hand hygiene compliance (H) IPC/Policy No change in hand hygiene compliance Perfect hand hygiene compliance
τcs COVID-19 stays COVID-19 patients remain in healthcare facility until recovered [22] Decreased discharge rate for symptomatic COVID-19 patients (μI) Disease/Caseload No impact of SARS-CoV-2 infection on patient length of stay All patients remain in hospital while symptomatic
τss Staff sick leave HCWs with COVID-19 stay home from work [23] A proportion of symptomatic HCWs removed from population for 7 days (until recovered) Disease/Caseload No symptomatic staff go on sick leave All symptomatic staff go on sick leave after being infectious for 1 day
τra Reduced admission Decreased number of hospital admissions during COVID-19 surges [24] Decreased patient admission rate (μ) Admission/Caseload No change in patient admissions Large reduction in patient admissions during COVID-19 surges
τsc Sicker casemix Elective admissions delayed or cancelled during COVID-19 surges, restricting admissions to more critically ill patients [10] Increased rate of antibiotic-resistant bacterial carriage among patient admissions (fCR) Admission/Caseload No change in the probability of colonization upon admission Large increase in the probability of colonization with resistant bacteria upon admission during COVID-19 surges

Reference

  • 1.Smith DRM, Shirreff G, Temime L, Opatowski L (2023) Collateral impacts of pandemic COVID-19 drive the nosocomial spread of antibiotic resistance: A modelling study. PLoS Med 20(6): e1004240. 10.1371/journal.pmed.1004240 [DOI] [PMC free article] [PubMed] [Google Scholar]

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