Download full-text PDF

Source

Publication Analysis

Top Keywords

[predicting hygienic
4
hygienic standard
4
standard quality
4
quality water
4
water small
4
small rivers
4
rivers uzbek
4
uzbek ssr]
4
[predicting
1
standard
1

Similar Publications

Background: In highly measles immunized countries, immunity gaps in adolescents and young adults are a key issue posing an obstacle to measles elimination. This study aims to identify the gaps by estimating the age-stratified probability of seropositivity, and to ascertain a suitable age for the administration of a third dose of a measles-containing vaccine (MCV3) to effectively fill these gaps.

Methods: We retrospectively obtained measles serological results from hospital setting among among individuals aged 13-39 years and developed a serocatalytic dynamic probability model, stratifying seropositivity due to vaccination or natural infection.

View Article and Find Full Text PDF

Enteropathogens are major contributors to mortality and morbidity, particularly in settings with limited access to water, sanitation, and hygiene infrastructure. To assess transmission pathways associated with enteropathogen infection, we measured household environmental conditions and assayed 22 enteropathogens using TaqMan Array Cards in stool samples from 276 six-month-old children living in communities along a rural-urban gradient in Northern Ecuador. We utilized multivariable models, risk factor importance, and distance-based statistical methods to test factors associated with infection.

View Article and Find Full Text PDF

Background: Sleep is an active process that affects human health and quality of life. Sleep is essential for learning and memory consolidation. Good sleep is required for good academic performance.

View Article and Find Full Text PDF

Unveiling the ghost: machine learning's impact on the landscape of virology.

J Gen Virol

January 2025

Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.

The complexity and speed of evolution in viruses with RNA genomes makes predictive identification of variants with epidemic or pandemic potential challenging. In recent years, machine learning has become an increasingly capable technology for addressing this challenge, as advances in methods and computational power have dramatically improved the performance of models and led to their widespread adoption across industries and disciplines. Nascent applications of machine learning technology to virus research have now expanded, providing new tools for handling large-scale datasets and leading to a reshaping of existing workflows for phenotype prediction, phylogenetic analysis, drug discovery and more.

View Article and Find Full Text PDF

Introduction: Ensuring an appropriate length of stay (LOS) is a primary goal for hospitals, as prolonged LOS poses clinical risks and organizational challenges. Children and adolescents are particularly susceptible to prolonged LOS due to frequent hospitalizations and unique vulnerabilities, including developmental disabilities that may necessitate additional care and monitoring. This study aims to describe the LOS of children and adolescent patients and identify the sociodemographic, organizational, clinical, and nursing care factors contributing to prolonged LOS in this population.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!