Introduction Timely detection, notification and response are critical for mitigating outbreak impact, yet evidence linking timeliness to public health outcomes is limited.Methods We hypothesised that ...

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

Abstract: Multivariate time series data, which has more complex and multidimensional characteristics compared to univariate data, is used in fields such as urban transportation, power grids, and ...

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...

Chepkwony, I. and Keter, J. (2025) Impact of Library Resource Utilization on Secondary School Students’ Performance in Chemistry at Uasin Gishu County, Kenya. Open Journal of Social Sciences, 13, ...

Objective To assess family caregiver burden and associated factors among caregivers of people with mental illness in Eastern Ethiopia. Design Cross-sectional study. Setting Three hospitals in Eastern ...

All of this feels perfectly logical when you’re dealing with a hypothetical lottery. But here’s the question: why does that ...

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...

Objective Interstitial lung disease (ILD) represents the most common and severe organ manifestation observed in patients ...