Vulnerable road-user deaths in Brazil: a Bayesian hierarchical model for spatial-temporal analysis-Reference-Cited by-同舟云学术

Vulnerable road-user deaths in Brazil: a Bayesian hierarchical model for spatial-temporal analysis

Published:2020-09-16 Issue:4 Volume:27 Page:528-536
ISSN:1745-7300
Container-title:International Journal of Injury Control and Safety Promotion
language:en
Short-container-title:International Journal of Injury Control and Safety Promotion

Author:

Batomen Brice¹²^ORCID,Irving Hyacinth¹,Carabali Mabel²^ORCID,Carvalho Marilia Sá³,Ruggiero Erica Di⁴,Brown Patrick¹

Affiliation:

1. Centre for Global Health Research, St Michael’s Hospital & University of Toronto, Toronto, Canada;

2. Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Canada;

3. Fundação Oswaldo Cruz, Rio de Janeiro, Brasil;

4. Office of Global Public Health Education & Training, Toronto, Canada

Funder

Advanced Queen Elizabeth Scholars (QES) award program

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research

Link

https://www.tandfonline.com/doi/pdf/10.1080/17457300.2020.1818788

Reference44 articles.

1. Agência Brasil. (2014). Brazil law lowers number of drunk drivers: Under the Lei Seca, intoxicated drivers may be fined, have their cars. http://agenciabrasil.ebc.com.br/en/geral/noticia/2014-10/brazil-law-lowers-number-drunk-drivers

2. Reducing the legal blood alcohol concentration limit for driving in developing countries: a time for change? Results and implications derived from a time-series analysis (2001-10) conducted in Brazil

3. Bayesian image restoration, with two applications in spatial statistics

4. Spatial and Spatio-temporal Bayesian Models with R-INLA

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