Criterion-related validity and reliability of the Urdu version of the patient health questionnaire in a sample of community-based pregnant women in Pakistan

Autor: John A. Gallis, Joanna Maselko, Karen O’Donnell, Ke Song, Kiran Saqib, Elizabeth L. Turner, Siham Sikander

Publikováno v: PeerJ, Vol 6, p e5185 (2018)

Background Depression is one of the most prevalent, yet unrecognized but treatable mental disorders in low and middle income countries (LMICs). In such locations, screening tools that are easy-to-administer, valid, and reliable are needed to assist i

Externí odkaz: https://doaj.org/article/1c448505b57442528c5c5b51e43072e1

COVID-19 and Mental Health; A Syndemic Perspective (Preprint)

Autor: Kiran Saqib, Afaf Saqib Qureshi, Zahid Ahmad Butt

BACKGROUND The COVID-19 pandemic is an epidemiological and psychological crisis; what it does to the body is quite well known by now, and more research is underway, but the syndemic impact of COVID-19 and mental health on underlying chronic illnesses

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eb27f09401e69033cb4fc3daa381e035
https://doi.org/10.2196/preprints.40137

Prevalence of Anxiety in University Students during the COVID-19 Pandemic: A Systematic Review

Autor: Shefali Liyanage, Kiran Saqib, Amber Fozia Khan, Tijhiana Rose Thobani, Wang-Choi Tang, Cameron B. Chiarot, Bara’ Abdallah AlShurman, Zahid Ahmad Butt

Publikováno v: International Journal of Environmental Research and Public Health
International Journal of Environmental Research and Public Health, Vol 19, Iss 62, p 62 (2022)

There is a dearth of evidence synthesis on the prevalence of anxiety among university students even though the risk of psychological disorders among this population is quite high. We conducted a quantitative systematic review to estimate the global p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd15335b86fef3073ecfbbeea5483b92
https://pubmed.ncbi.nlm.nih.gov/35010323

Machine learning methods for predicting postpartum depression: A scoping review (Preprint)

Autor: Kiran Saqib, Amber Fozia Khan, Zahid Ahmad Butt

BACKGROUND Machine learning (ML) offers vigorous statistical and probabilistic techniques that can successfully predict certain clinical conditions using large volumes of data. A review of ML and big data research analytics in maternal depression is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2c46c86e8d833a153e71408dc75a40aa
https://doi.org/10.2196/preprints.29765