The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Background One in seven households in England live in accommodation not meeting housing quality standards. Low-quality ...

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

Background In December 2022, California prohibited the sale of most flavoured tobacco products; however, limited data are ...

Association of paleopalynological data from the Nanxiong Basin, south China, and late Paleocene niche expansion in endemic Asian fossil mammals.

Background Malnutrition influences prognosis in patients with heart failure, but current nutritional evaluation methods are ...

Background/purpose Social media (SM) has become an indispensable tool in healthcare, providing platforms for networking and ...

Introduction Nasogastric tubes (NGTs) are standard practice in the management of adhesive small bowel obstruction (ASBO). Their insertion can be associated with significant patient discomfort and ...

The pervasive issue of unsustainable consumption demands advanced analytical tools to predict and mitigate its environmental and social impacts. This ...

Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.

Predictive Analytics is a sophisticated forecasting system that relies on data mining, statistical modelling, and machine learning. It is an offshoot of advanced analytics that uses historical data to ...

Introduction Population level screen and treat approach for anaemia reduction could be beneficial but its feasibility and ...