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1 Ergebnisse
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Evaluation of multi-assay algorithms for cross-sectional HI..:
Grant-McAuley, Wendy
;
Laeyendecker, Oliver
;
Monaco, Daniel
...
BMC Infectious Diseases. 22 (2022) 1 - p. , 2022
Link:
https://doi.org/10.1186/s12879-022-07850-0
RT Journal T1
Evaluation of multi-assay algorithms for cross-sectional HIV incidence estimation in settings with universal antiretroviral treatment
UL https://suche.suub.uni-bremen.de/peid=cr-10.1186_s12879-022-07850-0&Exemplar=1&LAN=DE A1 Grant-McAuley, Wendy A1 Laeyendecker, Oliver A1 Monaco, Daniel A1 Chen, Athena A1 Hudelson, Sarah E. A1 Klock, Ethan A1 Brookmeyer, Ron A1 Morrison, Douglas A1 Piwowar-Manning, Estelle A1 Morrison, Charles S. A1 Hayes, Richard A1 Ayles, Helen A1 Bock, Peter A1 Kosloff, Barry A1 Shanaube, Kwame A1 Mandla, Nomtha A1 van Deventer, Anneen A1 Ruczinski, Ingo A1 Kammers, Kai A1 Larman, H. Benjamin A1 Eshleman, Susan H. PB Springer Science and Business Media LLC YR 2022 SN 1471-2334 JF BMC Infectious Diseases VO 22 IS 1 LK http://dx.doi.org/https://doi.org/10.1186/s12879-022-07850-0 DO https://doi.org/10.1186/s12879-022-07850-0 SF ELIB - SuUB Bremen
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