RT Journal Article
T1 Geographical Variability in Mortality in Urban Areas: A Joint Analysis of 16 Causes of Death.
A1 Martinez-Beneito, Miguel A
A1 Vergara-Hernández, Carlos
A1 Botella-Rocamora, Paloma
A1 Corpas-Burgos, Francisca
A1 Pérez-Panadés, Jordi
A1 Zurriaga, Óscar
A1 Aldasoro, Elena
A1 Borrell, Carme
A1 Cabeza, Elena
A1 Cirera, Lluís
A1 Delfrade Osinaga, Josu
A1 Fernández-Somoano, Ana
A1 Gandarillas, Ana
A1 Lorenzo Ruano, Pedro L
A1 Marí-Dell'Olmo, Marc
A1 Nolasco, Andreu
A1 Prieto-Salceda, M Dolores
A1 Ramis, Rebeca
A1 Rodríguez-Sanz, Maica
A1 Sánchez-Villegas, Pablo
A1 The Medea Project Group, 
K1 geographical inequalities
K1 mortality
K1 multivariate disease mapping
K1 urban areas
AB The geographical distribution of mortality has frequently been studied. Nevertheless, those studies often consider isolated causes of death. In this work, we aim to study the geographical distribution of mortality in urban areas, in particular, in 26 Spanish cities. We perform an overall study of 16 causes of death, considering that their geographical patterns could be dependent and estimating the dependence between the causes of death. We study the deaths in these 26 cities during the period 1996-2015 at the census tract level. A multivariate disease mapping model is used in order to solve the potential small area estimation problems that these data could show. We find that most of the geographical patterns found show positive correlations. This suggests the existence of a transversal geographical pattern, common to most causes of deaths, which determines those patterns to a higher/lower extent depending on each disease. The causes of death that exhibit that underlying pattern in a more prominent manner are chronic obstructive pulmonary disease (COPD), lung cancer, and cirrhosis for men and cardiovascular diseases and dementias for women. Such findings are quite consistent for most of the cities in the study. The high positive correlation found between geographical patterns reflects the existence of both high and low-risk areas in urban settings, in general terms for nearly all the causes of death. Moreover, the high-risk areas found often coincide with neighborhoods known for their high deprivation. Our results suggest that dependence among causes of death is a key aspect to be taken into account when mapping mortality, at least in urban contexts.
YR 2021
FD 2021-05-25
LK http://hdl.handle.net/10668/17921
UL http://hdl.handle.net/10668/17921
LA en
DS RISalud
RD Apr 8, 2025