Unravelling data for rapid evidence-based response to COVID-19: a summary of the unCoVer protocol

Autor: José M Castellano, Marek Majdan, In-Hwan Oh, John Kelleher, Saša Missoni, Natalija Novokmet, Ella Arensman, João Silva, Guy Fagherazzi, Marianne Van Der Sande, Silvia Riva, Joan B Soriano, David M. Pereira, Julio Ancochea, Michel Vaillant, Jörn Klein, Brecht Devleesschauwer, Patrick Soentjens, Ernestina Menasalvas, Justo Menéndez, Antigona Carmen Trofor, Olga Sánchez-Pernaute, Mihaela Lupse, Dora Buonfrate, Zubair Kabir, Jose L Penalvo, Miguel Górgolas, Paula Villares, Lucia Maria Lotrean, Lucía Llanos, Costas Tsiamis, Seval Akgün, Tamara Ursini, José L. Peñalvo, Elly Mertens, Diana Sagastume, Jelena Dimnjaković, Marija Švajda, Tamara Poljičanin, Jelena Sarac, Enisa Ademović, Ana Lúcia Baltazar, Miran Čoklo, Paula Andrea Diaz Valencia, João C. Fernandes, Enrique Javier Gómez, Paul Hynds, Polychronis Kostoulas, Lucía Llanos Jiménez, Paul Nguewa, Georgie O’Sullivan, Miguel Reina Ortiz, Gloria Soriano, Joan B. Soriano, Fernando Spilki, Mary Elizabeth Tamang, Sabrina Van Ierssel, Jakov Vuković, José M. Castellano, James Cottam, Hanne Van Tiggelen, José Barberán, Mercedes Villareal, Nerea Ruiz del Árbol, Alberto Estirado, Alberto Blázquez Herranz, David Fernandez Lobón, Paloma Chausa, David M Pereira, Morteza Hosseini, Elizabeth Hunter, Brendan Palmer, Milena Man, Mira Florea, Andrei Tudor Cernomaz, Radu Adrian Crisan-Dabija, Cristina Grigorescu, João C Fernandes, Daria Rabarova, Adriana Krsakova, Jaroslava Brnova, Janka Prnova, Jaroslav Slany, Dominika Plancikova, Nisa Boukichou Abdelkader, Adrián Peláez, Elena Ávalos, Gorane Iturricastillo, Arnoldo Santos Oviedo, Sergio Luis Lima, Antonio Herrero, Pablo Minguez, Olympia Lioupi, Eleftherios Meletis, Konstantinos Pateras, Mustafa Asfari, Nicoletta De Santis, Petronille Bogaert, Koen Blot, Miriam Saso, Mathil Vandromme, Ivan Pristas, Marko Brkic, Luka Bočkor, Ivan Dolanc, Antonija Jonjić, Iva Šunić, Tugba Gürgen Erdogan, Süleyman Çetinkünar, Cenk Belibağlı, Kübra Demir, Mustafa Görür, Turgut Bulut, K R NayarSilvia Riva, Carlo Giordani, Petra Golin, Oh In-Hwan, Seok Jun Yoon, Lina Ruíz, Juan Pablo Pérez Bedoya, Oscar Ignacio Mendoza, Camilo Hincapie, Boris Rodriguez, Noël Barengo, Juliane Deise Fleck, Matheus Nunes Weber, Lejla Burnazović-Ristić, Semra Čavaljuga, Džan Ahmed Jesenković, Lejla Džananović

Publikováno v: BMJ Open, Vol 11, Iss 11 (2021)

Introduction unCoVer—Unravelling data for rapid evidence-based response to COVID-19—is a Horizon 2020-funded network of 29 partners from 18 countries capable of collecting and using real-world data (RWD) derived from the response and provision of

Externí odkaz: https://doaj.org/article/c9e54ac90148496b8a6f0e5f43c36235

Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study

Autor: Joy Tzung-yu Wu, Miguel Ángel Armengol de la Hoz, Po-Chih Kuo, Joseph Alexander Paguio, Jasper Seth Yao, Edward Christopher Dee, Wesley Yeung, Jerry Jurado, Achintya Moulick, Carmelo Milazzo, Paloma Peinado, Paula Villares, Antonio Cubillo, José Felipe Varona, Hyung-Chul Lee, Alberto Estirado, José Maria Castellano, Leo Anthony Celi

The unprecedented global crisis brought about by the COVID-19 pandemic has sparked numerous efforts to create predictive models for the detection and prognostication of SARS-CoV-2 infections with the goal of helping health systems allocate resources.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adde3af1bba6d1007e05b607cd36e7d6
https://hdl.handle.net/20.500.12105/15744

COVID-19 mortality risk assessment: An international multi-center study

Autor: Angelo Pan, José Miguel Cisneros-Herreros, Luca Mingardi, Barry Stein, Alberto Estirado, Ken Robinson, Federica Pezzetti, Dimitris Bertsimas, Martina Dal Bello, Lia a Beccara, Carlos Luis Parra-Calderón, Michelle Schneider, Galit Lukin, Sara González-García, Holly Wiberg, Bartolomeo Stellato, Rosario Canino, Agni Orfanoudaki, Omid Nohadani

Publikováno v: PLoS ONE
Digital.CSIC. Repositorio Institucional del CSIC
instname
PLoS ONE, Vol 15, Iss 12, p e0243262 (2020)

Background: Timely identification of COVID-19 patients at high risk of mortality can significantly improve patient management and resource allocation within hospitals. This study seeks to develop and validate a data-driven personalized mortality risk

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7883c0da09060871f33f4033ff81673
http://hdl.handle.net/10261/225807