Universitat Pompeu Fabra
2026-03-17T18:50:33Z
2026-03-17T18:50:33Z
2025
2026-03-17T18:50:33Z
info:eu-repo/date/embargoEnd/2026-07-22
M.Q.-Z. and J.B. gratefully acknowledge funding from the European Union's Horizon 2020 and Horizon Europe research and innovation programmes under grant agreement nos 865564 (European Research Council Consolidator Grant EARLY-ADAPT, https://www.early-adapt.eu/), 101069213 (European Research Council Proof-of-Concept HHS-EWS), and 101123382 (European Research Council Proof-of-Concept FORECAST-AIR). ISGlobal authors acknowledge support from the grant CEX2018-000806-S funded by MCIN/AEI/10.13039/501100011033 and support from the Generalitat de Catalunya through the CERCA Program. M.A.M.-B. acknowledges support from Project PID2022-136455NB-I00 funded by MCIN/AEI/10.13039/501100011033/FEDER, UE.
Article
Accepted version
English
Oxford University Press
International Journal of Epidemiology. 2025;54(4):dyaf120
info:eu-repo/grantAgreement/EC/H2020/865564
info:eu-repo/grantAgreement/EC/HE/101069213
info:eu-repo/grantAgreement/EC/HE/101123382
info:eu-repo/grantAgreement/ES/3PE/PID2022-136455NB-I00
© Oxford University Press. This is a pre-copyedited, author-produced version of an article accepted for publication in International journal of epidemiology following peer review. The version of record Quijal-Zamorano M, Martinez-Beneito MA, Ballester J, Marí-Dell'Olmo M. Spatial Bayesian distributed lag non-linear models with R-INLA. Int J Epidemiol. 2025 Jun 11;54(4):dyaf120. DOI: 10.1093/ije/dyaf120 is available online at: http://dx.doi.org/10.1093/ije/dyaf120
