What we should learn from pandemic publishing
Nat Hum Behav
.
2024 Sep;8(9):1631-1634.
doi: 10.1038/s41562-024-01969-7.
Authors
Satyaki Sikdar
#
1
2
,
Sara Venturini
#
3
4
,
Marie-Laure Charpignon
5
,
Sagar Kumar
6
,
Francesco Rinaldi
4
,
Francesco Tudisco
7
8
,
Santo Fortunato
9
,
Maimuna S Majumder
10
11
Affiliations
1
Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA.
2
Department of Computer Science, Loyola University Chicago, Chicago, IL, USA.
3
Senseable City Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.
4
Department of Mathematics "Tullio Levi-Civita", University of Padova, Padova, Italy.
5
Institute for Data, Systems, and Society; Massachusetts Institute of Technology, Cambridge, MA, USA.
6
Network Science Institute, Northeastern University, Boston, MA, USA.
7
School of Mathematics, The University of Edinburgh, Edinburgh, UK.
8
School of Mathematics, Gran Sasso Science Institute, L'Aquila, Italy.
9
Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA.
[email protected]
.
10
Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
[email protected]
.
11
Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.
[email protected]
.
#
Contributed equally.
PMID:
39251724
DOI:
10.1038/s41562-024-01969-7
No abstract available
Publication types
Editorial
MeSH terms
COVID-19* / epidemiology
Humans
Pandemics
Periodicals as Topic
Publishing*
Grants and funding
FA9550-19-1-0354/United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research)
1927418/National Science Foundation (NSF)
1927425/National Science Foundation (NSF)
SES2200228/National Science Foundation (NSF)
R35GM146974/U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS)