Nanoenabled smart drug delivery in One Health: advances in targeted therapy and theranostics
SIMAD Institute for Global Health2 citationsHealth & Wellbeing
Research
Publications
Every research output from SIMAD University, read live from the SIMAD Research Repository.
Determinants of agricultural output in Somalia: the roles of rainfall, land use, employment, and domestic investment
School of Economics4 citations
Prevalence, risk factors, and viral load quantification of HBV infection among hospital patients: A cross-sectional investigation in Mogadishu, Somalia
SIMAD Institute for Global Health1 citationHealth & Wellbeing
Esophageal Cancer in Somalia: Burden and Outcomes From a Multicenter Observational Study in Mogadishu
SIMAD Institute for Global HealthDigital Transformation & AI
Fentanyl-Induced Chest Wall Rigidity Causing Recurrent Ventilator Dyssynchrony in the Intensive Care Unit: A Case Report
Dr. Sumait Hospital1 citationHealth & Wellbeing
Determinants of barriers to accessing healthcare services among married women in Somalia: a multilevel analysis of nationwide survey data
School of Medicine and Health Sciences1 citation
Investigating the economic dynamics of mobile money in Somalia's climate-stressed setting
Institute of Climate and EnvironmentClimate, Environment & Food Security
Correction: Addressing the emerging threat of Oropouche virus: implications and public health responses for healthcare systems
School of Medicine and Health Sciences1 citationHealth & Wellbeing
A Machine Learning Approach to Predicting Household Smoke Exposure Risk in Somalia: An Analysis With SHAP Explanations
School of Medicine and Health SciencesHealth & Wellbeing
Spatial and temporal inequalities in malaria incidence and mortality among children aged 0–4 years in Nigeria: a subnational analysis, 2010–2019
School of Medicine and Health SciencesHealth & Wellbeing
Somalia’s federal experiment: between reconciliation and fragmentation – the elusive quest for national unity
School of Social Science1 citationSociety, Media & Inclusion
Machine Learning-Based Prediction of Institutional Delivery Dropout (IDD) Among Nigerian Women: An Exploratory Study Using SHAP Interpretability
School of Medicine and Health Sciences1 citation