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Improving disease surveillance data analysis, interpretation, and use at the district level in TanzaniaAn effective disease surveillance system is critical for early detection and response to disease epidemics. This study aimed to assess the capacity to manage and utilize disease surveillance data and implement an intervention to improve data analysis and use at the district level in Tanzania.
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Complete Genome Sequences of Four Pseudomonas aeruginosa Bacteriophages: Kara-mokiny 8, Kara-mokiny 13, Kara-mokiny 16, and Boorn-mokiny 1Pseudomonas aeruginosa is an opportunistic pathogen. Here, we report the isolation of four bacteriophages from wastewater. All four bacteriophages belong to the Myoviridae family.
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The COVID-19 Pandemic Affects Seasonality, With Increasing Cases of New-Onset Type 1 Diabetes in Children, From the Worldwide SWEET RegistryTo analyze whether the coronavirus disease 2019 (COVID-19) pandemic increased the number of cases or impacted seasonality of new-onset type 1 diabetes (T1D) in large pediatric diabetes centers globally.
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Lifting the curtains of silence: Patient perceptions towards needs and responsibilities in contributing to the prevention of healthcare-associated infections and antimicrobial resistanceBeyond the use of policy and system-focused approaches, it has been established globally that patients can play a role in enhancing the health care landscape. However, efforts to meaningfully translate patient engagement strategies that promote participation by hospitalized patients in relevant infection prevention and antimicrobial stewardship activities have not yet been realized. This study mapped the key factors acting as barriers and facilitators of patient engagement using a theoretical framework to identify potential new approaches to promote engagement.
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The Use of Interdisciplinary Approaches to Understand the Biology of Campylobacter jejuniCampylobacter jejuni is a bacterial pathogen recognised as a major cause of foodborne illness worldwide. While Campylobacter jejuni generally does not grow outside its host, it can survive outside of the host long enough to pose a health concern. This review presents an up-to-date description and evaluation of biological, mathematical, and statistical approaches used to understand the behaviour of this foodborne pathogen and suggests future avenues which can be explored.
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Human Milk Sodium and Potassium as Markers of Mastitis in Mothers of Preterm InfantsThis prospective longitudinal study examined changes in milk sodium concentration (Na) and sodium:potassium ratio (Na:K), microbiological culture, milk production, and breast health in relation to mastitis after preterm birth.
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Standardization of Epidemiological Surveillance of Group A Streptococcal ImpetigoImpetigo is a highly contagious bacterial infection of the superficial layer of skin. Impetigo is caused by group A Streptococcus (Strep A) and Staphylococcus aureus, alone or in combination, with the former predominating in many tropical climates. Strep A impetigo occurs mainly in early childhood, and the burden varies worldwide. It is an acute, self-limited disease, but many children experience frequent recurrences that make it a chronic illness in some endemic settings.
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Can positive mindsets be protective against stress and isolation experienced during the covid-19 pandemic? A mixed methods approach to understanding emotional health and wellbeing needs of perinatal womenThe aim of this study was to explore the relationship between emotional health and wellbeing and support needs of perinatal women during the COVID-19 pandemic, and to understand their experiences and need for support. This is a potentially vulnerable group and a critical developmental phase for women and infants.
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Cellulitis in children: A retrospective single centre study from AustraliaTo characterise the epidemiology, clinical features and treatment of paediatric cellulitis. Methods A retrospective study of children presenting to a paediatric tertiary hospital in Western Australia, Australia in 2018.
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A flexible computational pipeline for research analyses of unsolved clinical exome casesExome sequencing has enabled molecular diagnoses for rare disease patients but often with initial diagnostic rates of ~25-30%. Here we develop a robust computational pipeline to rank variants for reassessment of unsolved rare disease patients. A comprehensive web-based patient report is generated in which all deleterious variants can be filtered by gene, variant characteristics, OMIM disease and Phenolyzer scores, and all are annotated with an ACMG classification and links to ClinVar.