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CPS1956 Areti B. et al.
                  References
                  1.  Figure 2: National time trend of mortality rate plotted against the
                      corresponding time trend for 'Southwark', detected as unusual with prob
                      < 0.05.1. Hill, Amelia. (2018). UK Life Expectancy Improvement Has
                      Stalled, Figures Show. Great Britain: The Guardian. Retrieved from
                      https://www.theguardian.com/science/2018/sep/25/improvement-uk-
                      life-expectancy-stalled-onsfigures-show
                  2.  Therrien, Alex. (2018). UK Life Expectancy Progress ’Has Stopped’. Great
                      Britain: BBC News. Retrieved from https://www.bbc.co.uk/news/health-
                      45638646.
                  3.  Olshansky, S. J., Passaro, D. J., Hershow, R. C., Layden, J., Carnes, B. A., Brody,
                      J., ... & Ludwig, D. S. (2005). A potential decline in life expectancy in the
                      United  States  in  the  21st  century.  New  England  Journal  of  Medicine,
                      352(11), 1138-1145.
                  4.  Hiam,  L.,  Harrison,  D.,  McKee,  M.,  &  Dorling,  D.  (2018).  Why  is  life
                      expectancy  in  England  and  Wales  ‘stalling’?.  J  Epidemiol  Community
                      Health, 72(5), 404-408.
                  5.  Office for National Statistics. (2016). Provisional Analysis of death
                      registrations: 2015. (p. 11). Retrieved from
                      https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsan
                      dmarriages/deaths/articles/pro visionalanalysisofdeathregistrations/2015
                  6.  Besag, J., York, J., & Mollié, A. (1991). Bayesian image restoration, with two
                      applications  in  spatial  statistics.  Annals  of  the  institute  of  statistical
                      mathematics, 43(1), 1-20.
                  7.  Rue,  H.,  &  Held,  L.  (2005).  Gaussian  Markov  random  fields: theory  and
                      applications. CRC press.
                  8.  Blangiardo, M., Cameletti, M., Baio, G., & Rue, H. (2013). Spatial and spatio-
                      temporal models with R-INLA. Spatial and spatio-temporal epidemiology,
                      4, 33-49.
                  9.  Richardson,  S.,  Thomson,  A.,  Best,  N.,  &  Elliott,  P.  (2004).  Interpreting
                      posterior relative risk estimates in disease-mapping studies. Environmental
                      Health Perspectives, 112(9), 1016.
                  10. Lawson, A. B. (2013). Bayesian disease mapping: hierarchical modeling in
                      spatial epidemiology. Chapman and Hall/CRC
                  11. Ugarte, M. D., Goicoa, T., Ibanez, B., & Militino, A. F. (2009). Evaluating the
                      performance of spatio temporal Bayesian models in disease mapping. ‐
                      Environmetrics:  The  official  journal  of  the  International  Environmetrics
                      Society, 20(6), 647-665.
                  12. Preston, S., Heuveline, P., & Guillot, M. (2000). Demography: measuring
                      and modeling population processes. Blackwell Publishing, Oxford.
                  13. Woods, L. M., Rachet, B., Riga, M., Stone, N., Shah, A., & Coleman, M. P.
                      (2005). Geographical variation in life expectancy at birth in England and

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