Estimation of unconfirmed COVID-19 cases from a cross-sectional survey of >10 000 households and a symptom-based machine learning model in Gilgit-Baltistan, Pakistan

Introduction Robust estimates of COVID-19 prevalence in settings with limited capacity for SARS-CoV-2 molecular and serologic testing are scarce. We aimed to describe the epidemiology of confirmed and probable COVID-19 in Gilgit-Baltistan, and to develop a symptom-based predictive model to identify...

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Main Authors:	Monica Taljaard, Zulfiqar A Bhutta, Lisa G Pell, Diego G Bassani, Sajid Soofi, Shaun K Morris, Daniel S Farrar, Muhammad Karim, Lauren Erdman, Yasin Muhammad, Sher Hafiz Khan, Zachary Tanner, Imran Ahmed Chauhadry, Falak Madhani, Shariq Paracha, Masood Ali Khan, Rachel F Spitzer, Sarah M Abu Fadaleh
פורמט:	Article
שפה:	אנגלית
יצא לאור:	BMJ Publishing Group 2025-05-01
סדרה:	BMJ Public Health
גישה מקוונת:	https://bmjpublichealth.bmj.com/content/3/1/e001255.full
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Estimation of unconfirmed COVID-19 cases from a cross-sectional survey of >10 000 households and a symptom-based machine learning model in Gilgit-Baltistan, Pakistan

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