ArticleBMC infectious diseases2022
Preventing COVID-19 outbreaks through surveillance testing in healthcare facilities: a modelling study.
Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Modeling the effectiveness of RT-PCR, RT-LAMP, and antigen testing strategies for COVID-19 control.BMC infectious diseases · 2025Article
- Information-guided adaptive learning approach for active surveillance of infectious diseases.Infectious Disease Modelling · 2025Article
- A model-based assessment of social isolation practices for COVID-19 outbreak response in residential care facilities.BMC infectious diseases · 2024Article
- Integrating SARS-CoV-2 rapid antigen testing in maternal, neonatal and child health, HIV and tuberculosis services in Cameroon and Kenya: a cluster randomised trial of two testing models.BMJ public health · 2024Article
- An epidemiological modeling framework to inform institutional-level response to infectious disease outbreaks: a Covid-19 case study.Scientific reports · 2024Article
- COVID-19 monitoring of school personnel through molecular salivary test and dried blood spot analysis.Journal of global health · 2024Article
- Utility of routine post-admission testing for SARS-CoV-2 in a rehabilitation facility.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2024Article
- An epidemiological modeling framework to inform institutional-level response to infectious disease outbreaks: A Covid-19 case study.Research square · 2023Article
- Infection prevention and control between legal requirements and German Society for Hygiene and Microbiology expert assessments: a cross-sectional study in September-November 2022.The Journal of hospital infection · 2023Article
- A Robust, Highly Multiplexed Mass Spectrometry Assay to Identify SARS-CoV-2 Variants.Microbiology spectrum · 2022Article
- Impact of Prior Infection on SARS-CoV-2 Antibody Responses in Vaccinated Long-Term Care Facility Staff.mSphere · 2022Article
- A robust, highly multiplexed mass spectrometry assay to identify SARS-CoV-2 variants.medRxiv : the preprint server for health sciences · 2022Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSurveillance testing within healthcare facilities provides an opportunity to prevent severe outbreaks of coronavirus disease 2019 (COVID-19). However, the quantitative impact of different available surveillance strategies and their potential to decrease the frequency of outbreaks are not well-understood.
methodsWe establish an individual-based model representative of a mental health hospital yielding generalizable results. Attributes and features of this facility were derived from a prototypical hospital, which provides psychiatric, psychosomatic and psychotherapeutic treatment. We estimate the relative reduction of outbreak probability for three test strategies (entry test, once-weekly test and twice-weekly test) relative to a symptom-based baseline strategy. Based on our findings, we propose determinants of successful surveillance measures.
resultsEntry Testing reduced the outbreak probability by 26%, additionally testing once or twice weekly reduced the outbreak probability by 49% or 67% respectively. We found that fast diagnostic test results and adequate compliance of the clinic population are mandatory for conducting effective surveillance. The robustness of these results towards uncertainties is demonstrated via comprehensive sensitivity analyses.
conclusionsWe conclude that active testing in mental health hospitals and similar facilities considerably reduces the number of COVID-19 outbreaks compared to symptom-based surveillance only.
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