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An 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.
The relationship between diabetic ketoacidosis (DKA) at diagnosis of type 1 diabetes and long-term glycemic control varies between studies. We aimed, firstly, to characterize the association of DKA and its severity with long-term HbA1c in a large contemporary cohort, and secondly, to identify other independent determinants of long-term HbA1c.
Tim Jones MBBS DCH FRACP MD Co-head, Diabetes and Obesity Research Co-head, Diabetes and Obesity Research Areas of research expertise: Diabetes
Type 1 diabetes, one of the common chronic conditions in children and adolescents, is a serious lifelong condition requiring daily treatment with exogenous insulin for survival. Descriptive epidemiology is important for planning of adequate diabetes health-care provision and could provide clues to aetiology. Over the past few decades, standardised diabetes incidence registries have provided a wealth of data from selected countries.
The study aimed to explore sociocultural factors influencing the risk of malaria and practices and beliefs towards malaria prevention, transmission and treatment in a remote village in Khatyad Rural Municipality (KRM) of Nepal. A sequential exploratory mixed methods approach was used.
Prebiotics research in the last decade has come a long way due to the maturation of omics technologies (genomics, transcriptomics, proteomics, metabolomics, and foodomics) and bioinformatics tools.
Positive maternal mental health during the perinatal period contributes to general well-being and positive emotional bonds with the child, encouraging an optimal developmental trajectory. Online interventions to enhance maternal well-being and develop coping skills, such as meditation-based interventions, can be a low-cost way to improve mother and child outcomes.
CDKL5 Deficiency Disorder (CDD) is a rare genetic disorder with symptoms of epilepsy, developmental impairments, and other comorbidities. Currently, there are no outcome measures for CDD with comprehensive evidence of validation. This study aimed to evaluate the psychometric properties of the Quality of Life Inventory-Disability (QI-Disability) in CDD. Quality of Life Inventory-Disability was administered to 152 parent caregivers registered with the International CDKL5 Disorder Database (ICDD).
Infants with KMT2A-rearranged B-cell acute lymphoblastic leukemia (ALL) have a dismal prognosis. Survival outcomes have remained static in recent decades despite treatment intensification and novel therapies are urgently required.
Natural Language Sampling (NLS) offers clear potential for communication and language assessment, where other data might be difficult to interpret. We leveraged existing primary data for 18-month-olds showing early signs of autism, to examine the reliability and concurrent construct validity of NLS-derived measures coded from video-of child language, parent linguistic input, and dyadic balance of communicative interaction-against standardised assessment scores. Using Systematic Analysis of Language Transcripts (SALT) software and coding conventions, masked coders achieved good-to-excellent inter-rater agreement across all measures.