Bayesian spatiotemporal modelling for disease mapping: an application to preeclampsia and gestational diabetes in Florida, United States - Archive ouverte HAL
Journal Articles Environmental Science and Pollution Research Year : 2023

Bayesian spatiotemporal modelling for disease mapping: an application to preeclampsia and gestational diabetes in Florida, United States

Ning Sun
  • Function : Author
Zoran Bursac
  • Function : Author
Ian Dryden
  • Function : Author
Roberto Lucchini
  • Function : Author
Sophie Dabo-Niang
MOdel for Data Analysis and Learning
Boubakari Ibrahimou

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https://hal.science/hal-04392782

Submitted on : Sunday, January 14, 2024-10:10:00 AM

Last modification on : Tuesday, June 4, 2024-12:18:04 PM

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hal-04392782 , version 1 (14-01-2024)

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Ning Sun, Zoran Bursac, Ian Dryden, Roberto Lucchini, Sophie Dabo-Niang, et al.. Bayesian spatiotemporal modelling for disease mapping: an application to preeclampsia and gestational diabetes in Florida, United States. Environmental Science and Pollution Research, 2023, 30 (50), pp.109283-109298. ⟨10.1007/s11356-023-29953-0⟩. ⟨hal-04392782⟩

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