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Improving disease surveillance data analysis, interpretation, and use at the district level in Tanzania

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.

Diabetic Ketoacidosis at Onset of Type 1 Diabetes and Long-term HbA1c in 7,961 Children and Young Adults in the Australasian Diabetes Data Network

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.

ISPAD Clinical Practice Consensus Guidelines 2022: Assessment and management of hypoglycemia in children and adolescents with diabetes

Tim Jones MBBS DCH FRACP MD Co-head, Diabetes and Obesity Research Co-head, Diabetes and Obesity Research Areas of research expertise: Diabetes

Trending now: modelling global epidemiology of type 1 diabetes in children and adolescents

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.

Traditional Beliefs, Practices, and Migration: A Risk to Malaria Transmission in Rural Nepal

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.

Could foodomics hold the key to unlocking the role of prebiotics in gut microbiota and immunity?

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.

Updates in infant acute lymphoblastic leukemia and the potential for targeted therapy

Outcomes for infants diagnosed under 1 year of age with KMT2A-rearranged acute lymphoblastic leukemia (ALL) have remained stagnant over the past 20 years. Successive treatment protocols have previously focused on intensification of conventional chemotherapy, but increased treatment-related toxicity and chemoresistance have led to a plateau in survival.

Potential immunological effects of gender-affirming hormone therapy in transgender people – an unexplored area of research

There are well-described sex-based differences in how the immune system operates. In particular, cisgender (cis) females have a more easily activated immune system; associated with an increased prevalence of autoimmune diseases and adverse events following vaccinations. Conversely, cis males have a higher threshold for immune activation, and are more prone to certain infectious diseases, such as coronavirus disease (COVID-19).

Mapping national, regional and local prevalence of hypertension and diabetes in Ethiopia using geospatial analysis

This study aimed to map the national, regional and local prevalence of hypertension and diabetes in Ethiopia.

Clustering of Wellbeing, Engagement and Academic Outcomes in Australian Primary Schools

The mental health and wellbeing of young people has important consequences for students and society. Schools are a logical environment for management and early intervention of wellbeing, mental health and engagement with school. Interventions aimed at improving mental health and wellbeing in education systems requires knowledge of how wellbeing is clustered at a school level. Cluster-randomised trials, and regression analyses of such data also require knowledge of clustering.