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Facilitating Safe Discharge Through Predicting Disease Progression in Moderate Coronavirus Disease 2019 (COVID-19): A Prospective Cohort Study to Develop and Validate a Clinical Prediction Model in Resource-Limited Settings
BACKGROUND: In locations where few people have received coronavirus disease 2019 (COVID-19) vaccines, health systems remain vulnerable to surges in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. Tools to identify patients suitable for community-based management are urgently...
Autores principales: | Chandna, Arjun, Mahajan, Raman, Gautam, Priyanka, Mwandigha, Lazaro, Gunasekaran, Karthik, Bhusan, Divendu, Cheung, Arthur T L, Day, Nicholas, Dittrich, Sabine, Dondorp, Arjen, Geevar, Tulasi, Ghattamaneni, Srinivasa R, Hussain, Samreen, Jimenez, Carolina, Karthikeyan, Rohini, Kumar, Sanjeev, Kumar, Shiril, Kumar, Vikash, Kundu, Debasree, Lakshmanan, Ankita, Manesh, Abi, Menggred, Chonticha, Moorthy, Mahesh, Osborn, Jennifer, Richard-Greenblatt, Melissa, Sharma, Sadhana, Singh, Veena K, Singh, Vikash K, Suri, Javvad, Suzuki, Shuichi, Tubprasert, Jaruwan, Turner, Paul, Villanueva, Annavi M G, Waithira, Naomi, Kumar, Pragya, Varghese, George M, Koshiaris, Constantinos, Lubell, Yoel, Burza, Sakib |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9129107/ https://www.ncbi.nlm.nih.gov/pubmed/35323932 http://dx.doi.org/10.1093/cid/ciac224 |
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