0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessHospitalized women are less likely to die from Covid-19; however, once severe disease occurs, the risk of dying is similar to men. Further studies are needed to better investigate the role of gender in clinical course and outcome of Covid-19.
Federico Raimondi, Luca Novelli, Arianna Ghirardi, Filippo Russo, Dario Pellegrini, Roberta Biza, Roberta Trapasso, Lisa Giuliani, Marisa Anelli, Mariangela Amoroso, Chiara Allegri, Gianluca Imeri, Claudia Maria Sanfilippo, Sofia Comandini, England Hila, Leonardo Manesso, Lucia Gandini, Pietro Mandelli, M A Monti, Mauro Gori, Michele Senni, Ferdinando Luca Lorini, Marco Rizzi, Tiziano Barbui, Laura París, Alessandro Rambaldi, Roberto Cosentini, Giulio Guagliumi, Simonetta Cesa, M. Colledan, Maria Sessa, Arianna Masciulli, Antonello Gavazzi, Sabrina Buoro, Giuseppe Remuzzi, Piero Ruggenenti, Annapaola Callegaro, Andrea Gianatti, Claudio Farina, Antonio Bellasi, Sandro Sironi, S. Fagiuoli, Fabiano Di Marco (2021). Covid-19 and gender: lower rate but same mortality of severe disease in women—an observational study. , 21(1), DOI: https://doi.org/10.1186/s12890-021-01455-0.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2021
Authors
43
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1186/s12890-021-01455-0
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access
.webp){kind=avatar}
