dc.contributor.author |
Mehrjou, Arash |
|
dc.contributor.author |
Schölkopf, Bernhard |
|
dc.date.accessioned |
2023-12-18T13:52:04Z |
|
dc.date.available |
2023-12-18T13:52:04Z |
|
dc.date.issued |
2023 |
|
dc.identifier.issn |
1553-734X |
|
dc.identifier.uri |
http://hdl.handle.net/10900/148746 |
|
dc.language.iso |
en |
de_DE |
dc.publisher |
Public Library Science |
de_DE |
dc.relation.uri |
http://dx.doi.org/10.1371/journal.pcbi.1010799 |
de_DE |
dc.subject.ddc |
570 |
de_DE |
dc.subject.ddc |
600 |
de_DE |
dc.title |
Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases |
de_DE |
dc.type |
Article |
de_DE |
utue.quellen.id |
20230619000000_01718 |
|
utue.personen.roh |
Mehrjou, Arash |
|
utue.personen.roh |
Soleymani, Ashkan |
|
utue.personen.roh |
Abyaneh, Amin |
|
utue.personen.roh |
Bhatt, Samir |
|
utue.personen.roh |
Schoelkopf, Bernhard |
|
utue.personen.roh |
Bauer, Stefan |
|
dcterms.isPartOf.ZSTitelID |
Plos Computational Biology |
de_DE |
dcterms.isPartOf.ZS-Issue |
1 |
de_DE |
dcterms.isPartOf.ZS-Volume |
19 |
de_DE |