This section, "Public Health and Epidemiology", presents a diverse collection of abstracts reflecting ongoing interdisciplinary efforts to address complex healthcare challenges across public health and healthcare.The research included draws on contexts from Latvia, Lithuania, and Uzbekistan, illustrating a robust commitment to evidence-based practice and cross-disciplinary collaboration.The abstracts provide insights into statistical modelling of public health-related issues.The topics include sophisticated statistical models predicting a large scale of health outcomes.Another part of the presentations concentrates on the validation of health instruments for assessing health and disease, and on the evaluation and prediction of national and international trends in prevalence and incidence of health outcomes.A specific emphasis was made on the investigations of the genome and interoperability of genomic data infrastructure.An increasing number of abstracts this year evaluate knowledge and awareness of people about health aspects and analyse health habits and behaviours at the population level.Taken together, this section emphasises the interconnectedness of epidemiological insights, psychosocial factors, and public health analyses.It demonstrates the importance of integrating social, epidemiological, and statistical dimensions in the analysis of health, ultimately leading to a more responsive, evidence-based medicine and healthcare.
Liliāna Civjāne (2026) studied this question.