000087611 001__ 87611
000087611 005__ 20230111103825.0
000087611 0247_ $$2doi$$a10.1038/s41467-019-13387-9
000087611 0248_ $$2sideral$$a115822
000087611 037__ $$aART-2019-115822
000087611 041__ $$aeng
000087611 100__ $$aTovar, Mario$$uUniversidad de Zaragoza
000087611 245__ $$aBridging the gap between efficacy trials and model-based impact evaluation for new tuberculosis vaccines
000087611 260__ $$c2019
000087611 5060_ $$aAccess copy available to the general public$$fUnrestricted
000087611 5203_ $$aIn Tuberculosis (TB), given the complexity of its transmission dynamics, observations of reduced epidemiological risk associated with preventive interventions can be difficult to translate into mechanistic interpretations. Specifically, in clinical trials of vaccine efficacy, a readout of protection against TB disease can be mapped to multiple dynamical mechanisms, an issue that has been overlooked so far. Here, we describe this limitation and its effect on model-based evaluations of vaccine impact. Furthermore, we propose a methodology to analyze efficacy trials that circumvents it, leveraging a combination of compartmental models and stochastic simulations. Using our approach, we can disentangle the different possible mechanisms of action underlying vaccine protection effects against TB, conditioned to trial design, size, and duration. Our results unlock a deeper interpretation of the data emanating from efficacy trials of TB vaccines, which renders them more interpretable in terms of transmission models and translates into explicit recommendations for vaccine developers.
000087611 536__ $$9info:eu-repo/grantAgreement/ES/DGA/E36-17R$$9info:eu-repo/grantAgreement/ES/MICINN/RYC-2017-23560$$9info:eu-repo/grantAgreement/ES/MINECO/FIS2017-87519-P
000087611 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000087611 590__ $$a12.121$$b2019
000087611 591__ $$aMULTIDISCIPLINARY SCIENCES$$b6 / 71 = 0.085$$c2019$$dQ1$$eT1
000087611 592__ $$a5.569$$b2019
000087611 593__ $$aBiochemistry, Genetics and Molecular Biology (miscellaneous)$$c2019$$dQ1
000087611 593__ $$aPhysics and Astronomy (miscellaneous)$$c2019$$dQ1
000087611 593__ $$aChemistry (miscellaneous)$$c2019$$dQ1
000087611 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000087611 700__ $$0(orcid)0000-0003-3259-0933$$aArregui, Sergio
000087611 700__ $$0(orcid)0000-0001-8644-120X$$aMarinova, Dessislava$$uUniversidad de Zaragoza
000087611 700__ $$0(orcid)0000-0003-2993-5478$$aMartín, Carlos$$uUniversidad de Zaragoza
000087611 700__ $$0(orcid)0000-0002-2980-9685$$aSanz, Joaquín$$uUniversidad de Zaragoza
000087611 700__ $$0(orcid)0000-0002-0895-1893$$aMoreno, Yamir$$uUniversidad de Zaragoza
000087611 7102_ $$11008$$2630$$aUniversidad de Zaragoza$$bDpto. Microb.Med.Pr.,Sal.Públ.$$cÁrea Microbiología
000087611 7102_ $$11008$$2X$$aUniversidad de Zaragoza$$bDpto. Microb.Med.Pr.,Sal.Públ.$$cProy. investigación HQA
000087611 7102_ $$12004$$2405$$aUniversidad de Zaragoza$$bDpto. Física Teórica$$cÁrea Física Teórica
000087611 773__ $$g10 (2019), 5457 1-10$$pNATURE COMMUNICATIONS$$tNATURE COMMUNICATIONS$$x2041-1723
000087611 8564_ $$s781462$$uhttps://zaguan.unizar.es/record/87611/files/texto_completo.pdf$$yVersión publicada
000087611 8564_ $$s63811$$uhttps://zaguan.unizar.es/record/87611/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000087611 909CO $$ooai:zaguan.unizar.es:87611$$particulos$$pdriver
000087611 951__ $$a2023-01-11-10:07:23
000087611 980__ $$aARTICLE