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Metropolitan age-specific mortality trends at borough and neighborhood level: The case of Mexico City

Understanding the spatial and temporal patterns of mortality rates in a highly heterogeneous metropolis, is a matter of public policy interest. In this context, there is no, to the best of our knowledge, previous studies that correlate both spatio-temporal and age-specific mortality rates in Mexico...

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Autores principales: Baca-López, Karol, Fresno, Cristóbal, Espinal-Enríquez, Jesús, Flores-Merino, Miriam V., Camacho-López, Miguel A., Hernández-Lemus, Enrique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815139/
https://www.ncbi.nlm.nih.gov/pubmed/33465102
http://dx.doi.org/10.1371/journal.pone.0244384
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author Baca-López, Karol
Fresno, Cristóbal
Espinal-Enríquez, Jesús
Flores-Merino, Miriam V.
Camacho-López, Miguel A.
Hernández-Lemus, Enrique
author_facet Baca-López, Karol
Fresno, Cristóbal
Espinal-Enríquez, Jesús
Flores-Merino, Miriam V.
Camacho-López, Miguel A.
Hernández-Lemus, Enrique
author_sort Baca-López, Karol
collection PubMed
description Understanding the spatial and temporal patterns of mortality rates in a highly heterogeneous metropolis, is a matter of public policy interest. In this context, there is no, to the best of our knowledge, previous studies that correlate both spatio-temporal and age-specific mortality rates in Mexico City. Spatio-temporal Kriging modeling was used over five age-specific mortality rates (from the years 2000 to 2016 in Mexico City), to gain both spatial (borough and neighborhood) and temporal (year and trimester) data level description. Mortality age-specific patterns have been modeled using multilevel modeling for longitudinal data. Posterior tests were carried out to compare mortality averages between geo-spatial locations. Mortality correlation extends in all study groups for as long as 12 years and as far as 13.27 km. The highest mortality rate takes place in the Cuauhtémoc borough, the commercial, touristic and cultural core downtown of Mexico City. On the contrary, Tlalpan borough is the one with the lowest mortality rates in all the study groups. Post-productive mortality is the first age-specific cause of death, followed by infant, productive, pre-school and scholar groups. The combinations of spatio-temporal Kriging estimation and time-evolution linear mixed-effect models, allowed us to unveil relevant time and location trends that may be useful for public policy planning in Mexico City.
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spelling pubmed-78151392021-01-27 Metropolitan age-specific mortality trends at borough and neighborhood level: The case of Mexico City Baca-López, Karol Fresno, Cristóbal Espinal-Enríquez, Jesús Flores-Merino, Miriam V. Camacho-López, Miguel A. Hernández-Lemus, Enrique PLoS One Research Article Understanding the spatial and temporal patterns of mortality rates in a highly heterogeneous metropolis, is a matter of public policy interest. In this context, there is no, to the best of our knowledge, previous studies that correlate both spatio-temporal and age-specific mortality rates in Mexico City. Spatio-temporal Kriging modeling was used over five age-specific mortality rates (from the years 2000 to 2016 in Mexico City), to gain both spatial (borough and neighborhood) and temporal (year and trimester) data level description. Mortality age-specific patterns have been modeled using multilevel modeling for longitudinal data. Posterior tests were carried out to compare mortality averages between geo-spatial locations. Mortality correlation extends in all study groups for as long as 12 years and as far as 13.27 km. The highest mortality rate takes place in the Cuauhtémoc borough, the commercial, touristic and cultural core downtown of Mexico City. On the contrary, Tlalpan borough is the one with the lowest mortality rates in all the study groups. Post-productive mortality is the first age-specific cause of death, followed by infant, productive, pre-school and scholar groups. The combinations of spatio-temporal Kriging estimation and time-evolution linear mixed-effect models, allowed us to unveil relevant time and location trends that may be useful for public policy planning in Mexico City. Public Library of Science 2021-01-19 /pmc/articles/PMC7815139/ /pubmed/33465102 http://dx.doi.org/10.1371/journal.pone.0244384 Text en © 2021 Baca-López et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Baca-López, Karol
Fresno, Cristóbal
Espinal-Enríquez, Jesús
Flores-Merino, Miriam V.
Camacho-López, Miguel A.
Hernández-Lemus, Enrique
Metropolitan age-specific mortality trends at borough and neighborhood level: The case of Mexico City
title Metropolitan age-specific mortality trends at borough and neighborhood level: The case of Mexico City
title_full Metropolitan age-specific mortality trends at borough and neighborhood level: The case of Mexico City
title_fullStr Metropolitan age-specific mortality trends at borough and neighborhood level: The case of Mexico City
title_full_unstemmed Metropolitan age-specific mortality trends at borough and neighborhood level: The case of Mexico City
title_short Metropolitan age-specific mortality trends at borough and neighborhood level: The case of Mexico City
title_sort metropolitan age-specific mortality trends at borough and neighborhood level: the case of mexico city
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815139/
https://www.ncbi.nlm.nih.gov/pubmed/33465102
http://dx.doi.org/10.1371/journal.pone.0244384
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