Exploring online public survey lifestyle datasets with statistical analysis, machine learning and semantic ontology (2024)
Journal Article
Chatterjee, A., Riegler, M. A., Johnson, M. S., Das, J., Pahari, N., Ramachandra, R., Ghosh, B., Saha, A., & Bajpai, R. (2024). Exploring online public survey lifestyle datasets with statistical analysis, machine learning and semantic ontology. Scientific Reports, 14(1), 1-24. https://doi.org/10.1038/s41598-024-74539-6

Lifestyle diseases significantly contribute to the global health burden, with lifestyle factors playing a crucial role in the development of depression. The COVID-19 pandemic has intensified many determinants of depression. This study aimed to identi... Read More about Exploring online public survey lifestyle datasets with statistical analysis, machine learning and semantic ontology.

Long-term outcomes of COVID-19 infection in children and young people: a systematic review and meta-analysis [version 1; peer review: awaiting peer review] (2024)
Journal Article
Twohig, H., Bajpai, R., Corp, N., Faux-Nightingale, A., Mallen, C., Robinson, T., Somayajula, G., van-Der-Windt, D., Welsh, V., & Burton, C. (2024). Long-term outcomes of COVID-19 infection in children and young people: a systematic review and meta-analysis [version 1; peer review: awaiting peer review]. NIHR Open Research, 4(22), https://doi.org/10.3310/nihropenres.13549.1

Background
Children and young people (CYP) may experience prolonged symptoms following COVID-19, commonly termed ‘Long-COVID’. The characteristics of Long-COVID in CYP are unclear, as are the sequalae of acute COVID-19. We aimed to systematically sy... Read More about Long-term outcomes of COVID-19 infection in children and young people: a systematic review and meta-analysis [version 1; peer review: awaiting peer review].