ArticleEnvironment international2017
Particle and bioaerosol characteristics in a paediatric intensive care unit.
Article in Environment international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 42 citations in OpenAlex.
- A review of the emergence of antibiotic resistance in bioaerosols and its monitoring methods.Re/views in environmental science and bio/technology · 2022Review
- Prevention of surgical site infection under different ventilation systems in operating room environment.Frontiers of environmental science & engineering · 2021Article
- Study on the transmission route of virus aerosol particles and control technology of air conditioning in the enclosed space.European physical journal plus · 2021Review
- Full-scale experimental and numerical study of bioaerosol characteristics against cross-infection in a two-bed hospital ward.Building and environment · 2020Article
- Clinical evidence based review and recommendations of aerosol generating medical procedures in otolaryngology - head and neck surgery during the COVID-19 pandemic.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale · 2020Review
- Evaluation of bioaerosol samplers for the detection and quantification of influenza virus from artificial aerosols and influenza virus-infected ferrets.Influenza and other respiratory viruses · 2019Article
- Comparison of culturable antibiotic-resistant bacteria in polluted and non-polluted air in Beijing, China.Environment international · 2019Article
- Antibiotic Resistance of Airborne Viable Bacteria and Size Distribution in Neonatal Intensive Care Units.International journal of environmental research and public health · 2019Article
- Investigating the effect of several factors on concentrations of bioaerosols in a well-ventilated hospital environment.Environmental monitoring and assessment · 2019Article
- Assessment of bioaerosol particle characteristics at different hospital wards and operating theaters: A case study in Tehran.MethodsX · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The paediatric intensive care unit (PICU) provides care to critically ill neonates, infants and children. These patients are vulnerable and susceptible to the environment surrounding them, yet there is little information available on indoor air quality and factors affecting it within a PICU. To address this gap in knowledge we conducted continuous indoor and outdoor airborne particle concentration measurements over a two-week period at the Royal Children's Hospital PICU in Brisbane, Australia, and we also collected 82 bioaerosol samples to test for the presence of bacterial and viral pathogens. Our results showed that both 24-hour average indoor particle mass (PM
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.