Correlating drug prescriptions with prognosis in severe COVID-19: first step towards resource management

Anna S. Levin, Maristela P. Freire, Maura Salaroli de Oliveira, Ana Catharina S. Nastri, Leila S. Harima, Lauro Vieira Perdigão-Neto, Marcello M. Magri, Gabriel Fialkovitz, Pedro H. M. F. Figueiredo, Rinaldo Focaccia Siciliano, Ester C. Sabino, Danilo P. N. Carlotti, Davi Silva Rodrigues, Fátima L. S. Nunes, João Eduardo Ferreira, Geraldo Busatto Filho, Eloisa Bonfá, Edivaldo Utiyama, Aluisio Segurado, Beatriz Perondi, Anna M. Morais, Amanda Montal, Solange Fusco, Marjorie Fregonesi, Marcelo Rocha, Izabel Marcilio, Izabel C. Rios, Fabiane, Y. O. Kawano, M. Amelia de Jesus, Esper G. Kallas, Carolina Marmo, Clarice Tanaka, Heraldo P. de Souza, Julio F. M. Marchini, Carlos Carvalho, Juliana C. Ferreira, Thais Guimaraes, Carolina S. Lazari, Alberto J. S. Duarte, M. Cristina Braido, P. B. Francisco, Silvia F. Costa. Correlating drug prescriptions with prognosis in severe COVID-19: first step towards resource management. BMC Med. Inf. & Decision Making, 22(1):246, 2022. [doi]

Abstract

Abstract is missing.