Facilitating safe discharge through predicting disease progression in moderate COVID-19: a prospective cohort study to develop and validate a clinical prediction model in resource-limited settings.

<strong>Background<br></strong> 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 c...

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Bibliographic Details
Main Authors:	Chandna, A, Mahajan, R, Gautam, P, Mwandigha, L, Gunasekaran, K, Bhusan, D, Cheung, ATL, Day, N, Dittrich, S, Dondorp, A, Geevar, T, Ghattamaneni, SR, Hussain, S, Jimenez, C, Karthikeyan, R, Kumar, S, Kumar, V, Kundu, D, Lakshmanan, A, Manesh, A, Menggred, C, Moorthy, M, Osborn, J, Richard-Greenblatt, M, Sharma, S, Singh, VK, Suri, J, Suzuki, S, Tubprasert, J, Turner, P, Villanueva, AMG, Waithira, N, Kumar, P, Varghese, GM, Koshiaris, C, Lubell, Y, Burza, S
Format:	Journal article
Language:	English
Published:	Oxford University Press 2022

Facilitating safe discharge through predicting disease progression in moderate COVID-19: a prospective cohort study to develop and validate a clinical prediction model in resource-limited settings.

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