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 AccessOur data show no significant increase of severe COVID-19 outcomes in patients with multiple sclerosis who contracted the infection during pregnancy.
Maria Grazia Aprea, Irene Schiavetti, Emilio Portaccio, Chiara Ballerini, Mario Alberto Battaglia, Roberto Bergamaschi, Giampaolo Brichetto, Sena Destan Bünül, Massimiliano Calabrese, Marco Capobianco, Paola Cavalla, Maria Grazia Celani, Marinella Clerico, Eleonora Cocco, Giancarlo Comi, Paolo Confalonieri, Antonella Conte, Cinzia Cordioli, Giovanna De Luca, Nicola De Rossi, Massimo Filippi, Haluk Gumes, Paolo Immovilli, Matilde Inglese, Rana Karabudak, Doriana Landi, Roberta Lanzillo, M.R. L'Episcopo, Lorena Lorefice, Vittorio Mantero, Sabrina Marangoni, Girolama Alessandra Marfia, Camilla Masciulli, Eva Milano, Lucia Moiola, Riccardo Orlandi, Francesco Patti, Paola Perini, Ilaria Pesci, Eugenio Pucci, Marco Puthenparampil, Marta Radaelli, Marco Salvetti, Arianna Sartori, Cinzia Scandellari, Sedat Şen, Aksel Sıva, Silvia Strumia, Francesco Teatini, Gioacchino Tedeschi, María Trojano, Melih Tütüncü, Giovanna Vaula, Maria Pia Sormani, Maria Pia Amato (2023). Sars-CoV2 infection in pregnant women with multiple sclerosis. , 29(9), DOI: https://doi.org/10.1177/13524585231176174.
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
2023
Authors
55
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1177/13524585231176174
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access