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1.
J Correct Health Care ; 29(3): 214-219, 2023 Jun.
Article in English | MEDLINE | ID: mdl-37093021

ABSTRACT

In congregate living settings when active coronavirus disease 2019 (COVID-19) transmission is present, limiting the scope of dental care to urgent and emergent treatment minimizes exposure risk for patients and staff. Engineering controls to mitigate aerosol production during dental procedures, including enhanced high-volume evacuation, high-efficiency particulate absorbing air filtration, and the use of a dental dam provide additional protection for dental providers and staff. Properly fitted N-95 respirators are of particular importance to limit COVID-19 transmission when SARS-CoV-2 containing aerosols may be present. When patients are known to be COVID-19 positive, the use of powered air-purifying respirators is appropriate. Further protection against the spread of disease among patients and staff may be provided by point-of-care testing for patients prior to dental procedures during outbreaks.


Subject(s)
COVID-19 , Humans , SARS-CoV-2 , Prisons , Respiratory Aerosols and Droplets , Dental Care
2.
Epidemiol Infect ; 148: e122, 2020 06 18.
Article in English | MEDLINE | ID: mdl-32614283

ABSTRACT

The COVID-19 pandemic is exerting major pressures on society, health and social care services and science. Understanding the progression and current impact of the pandemic is fundamental to planning, management and mitigation of future impact on the population. Surveillance is the core function of any public health system, and a multi-component surveillance system for COVID-19 is essential to understand the burden across the different strata of any health system and the population. Many countries and public health bodies utilise 'syndromic surveillance' (using real-time, often non-specific symptom/preliminary diagnosis information collected during routine healthcare provision) to supplement public health surveillance programmes. The current COVID-19 pandemic has revealed a series of unprecedented challenges to syndromic surveillance including: the impact of media reporting during early stages of the pandemic; changes in healthcare-seeking behaviour resulting from government guidance on social distancing and accessing healthcare services; and changes in clinical coding and patient management systems. These have impacted on the presentation of syndromic outputs, with changes in denominators creating challenges for the interpretation of surveillance data. Monitoring changes in healthcare utilisation is key to interpreting COVID-19 surveillance data, which can then be used to better understand the impact of the pandemic on the population. Syndromic surveillance systems have had to adapt to encompass these changes, whilst also innovating by taking opportunities to work with data providers to establish new data feeds and develop new COVID-19 indicators. These developments are supporting the current public health response to COVID-19, and will also be instrumental in the continued and future fight against the disease.


Subject(s)
Coronavirus Infections/epidemiology , Pandemics/statistics & numerical data , Pneumonia, Viral/epidemiology , Population Surveillance/methods , COVID-19 , Coronavirus Infections/prevention & control , Health Behavior , Humans , Pandemics/prevention & control , Patient Acceptance of Health Care/statistics & numerical data , Pneumonia, Viral/prevention & control , Public Health Surveillance/methods
3.
J Antimicrob Chemother ; 70(6): 1744-50, 2015.
Article in English | MEDLINE | ID: mdl-25733586

ABSTRACT

OBJECTIVES: To retrospectively analyse routine susceptibility testing data to describe antimicrobial non-susceptibility trends in isolates of Escherichia coli, Klebsiella pneumoniae and Pseudomonas aeruginosa from urine samples in a population of 5.6 million people over a 4 year period. METHODS: De-duplicated laboratory data submitted to the AmSurv surveillance system from the West Midlands region of England and results of submissions to the Antimicrobial Resistance and Healthcare Associated Infections Reference Unit were extracted for the period 2010-13. Descriptive analysis of the non-susceptibility of selected Gram-negative organisms to key antibiotics, as recommended for monitoring in the UK Five Year Antimicrobial Resistance Strategy, was undertaken. RESULTS: During the study period, there were 431 461 reports for E. coli, 23 786 for K. pneumoniae and 6985 for P. aeruginosa from urine specimens. These represented 61%, 3% and 1%, respectively, of all organisms isolated from urine specimens. There was a linear increase in non-susceptibility to third-generation cephalosporins for E. coli and K. pneumoniae, and to ciprofloxacin for E. coli, in specimens from both hospital and community settings (P < 0.001). The proportions of E. coli and K. pneumoniae reported non-susceptible to meropenem and/or imipenem remained low during the study period, with no evidence of linear trend (P ≥ 0.05). CONCLUSIONS: Automated antimicrobial resistance surveillance enabled, for the first time in England, the systematic monitoring of resistance in bacteria responsible for urinary tract infections in a defined population, and thereby provided a representative indication of the burden of resistance in Gram-negative bacteria in hospital and community settings.


Subject(s)
Anti-Bacterial Agents/pharmacology , Escherichia coli/drug effects , Klebsiella pneumoniae/drug effects , Pseudomonas aeruginosa/drug effects , Urinary Tract Infections/microbiology , Drug Resistance, Bacterial , England/epidemiology , Epidemiological Monitoring , Escherichia coli/isolation & purification , Humans , Klebsiella pneumoniae/isolation & purification , Microbial Sensitivity Tests , Pseudomonas aeruginosa/isolation & purification , Retrospective Studies , Urinary Tract Infections/epidemiology
5.
J Antimicrob Chemother ; 68(10): 2406-13, 2013 Oct.
Article in English | MEDLINE | ID: mdl-23687187

ABSTRACT

BACKGROUND: Antimicrobial resistance (AMR) is recognized as one of the most significant threats to human health. Local and regional AMR surveillance enables the monitoring of temporal changes in susceptibility to antibiotics and can provide prescribing guidance to healthcare providers to improve patient management and help slow the spread of antibiotic resistance in the community. There is currently a paucity of routine community-level AMR surveillance information. METHODS: The HPA in England sponsored the development of an AMR surveillance system (AmSurv) to collate local laboratory reports. In the West Midlands region of England, routine reporting of AMR data has been established via the AmSurv system from all diagnostic microbiology laboratories. The HPA Regional Epidemiology Unit developed a web-enabled database application (AmWeb) to provide microbiologists, pharmacists and other stakeholders with timely access to AMR data using user-configurable reporting tools. RESULTS: AmWeb was launched in the West Midlands in January 2012 and is used by microbiologists and pharmacists to monitor resistance profiles, perform local benchmarking and compile data for infection control reports. AmWeb is now being rolled out to all English regions. CONCLUSIONS: It is expected that AmWeb will become a valuable tool for monitoring the threat from newly emerging or currently circulating resistant organisms and helping antibiotic prescribers to select the best treatment options for their patients.


Subject(s)
Anti-Bacterial Agents/pharmacology , Drug Resistance, Bacterial , Epidemiological Monitoring , Internet , England , Humans
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