Publications by authors named "Danielle M Allen"

Article Synopsis
  • - The study investigates the feasibility of using wastewater-based epidemiology (WBE) and whole-genome sequencing (WGS) to detect and differentiate between human and avian strains of Influenza A viruses (IAVs) across Northern Ireland.
  • - Between August and December 2022, wastewater samples from six treatment facilities revealed a constant presence of IAVs, with varied proportions of human and avian strains, though no strong correlation was found with clinical IAV data from the region.
  • - The findings suggest that WBE can effectively monitor circulating IAV strains, offering a valuable approach for ongoing surveillance and potential prevention of influenza outbreaks through genetic analysis.
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Respiratory syncytial virus (RSV) causes severe infections in infants, immunocompromised or elderly individuals resulting in annual epidemics of respiratory disease. Currently, limited clinical surveillance and the lack of predictable seasonal dynamics limit the public health response. Wastewater-based epidemiology (WBE) has recently been used globally as a key metric in determining prevalence of severe acute respiratory syndrome coronavirus 2 in the community, but its application to other respiratory viruses is limited.

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Wastewater Based Epidemiology (WBE) has become an integral part of the public health effort to track the levels of SARS-CoV-2 within communities. Detection of SARS-CoV-2 in wastewater can be challenging due to relatively low levels of virus within the sample. The wastewater matrix is also comprised of commercial and domestically derived contaminants, as well as RNases, all of which can adversely affect RT-qPCR analysis.

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As of 8 July 2022, the World Health Organization (WHO) have reported 1010 probable cases of acute hepatitis of unknown aetiology in children worldwide, including approximately 250 cases in the United Kingdom (UK). Clinical presentations have often been severe, with liver transplantation a frequent clinical outcome. Human adenovirus F41 (HAdV-F41) has been detected in most children with acute hepatitis, but its role in the pathogenesis of this infection has yet to be established.

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SERS is currently being explored as a rapid method for identification of bacteria but variation in the experimental procedures has resulted in considerable variation in the spectra reported for a range of bacterial species. Here, we show that mixing bacteria with a conventional citrate-reduced silver colloid (CRSC) and drying the resulting suspension yield highly reproducible spectra. These signals were due to intracellular components released when the structure of the bacteria was disrupted during sample preparation.

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