---
res:
  bibo_abstract:
  - Tropospheric ozone has the potential to become an increasingly pressing public
    health issue in Bogotá, Colombia, due to rising concentrations across the city
    driven by complex interactions among emissions, meteorology, and urban structure.
    This study presents a comprehensive spatiotemporal analysis of ozone levels from
    2013 to 2023 and assesses the associated health burden using mortality data from
    the same period. Results reveal a consistent upward trend in ozone concentrations,
    particularly in northern, western, and southern localities, with seasonal peaks
    linked to biomass burning and photochemical conditions. Mortality analysis, based
    on the Global Exposure Mortality Model, estimates that 18.3% of all deaths among
    individuals aged 25 and older are attributable to long-term ozone exposure. The
    highest burdens are found in densely populated and socioeconomically vulnerable
    areas such as Kennedy, Suba, and Ciudad Bolívar, with the elderly being the most
    affected. Building on these findings, we developed a machine learning prediction
    model for ozone using a convolutional merge with a long-short term memory network
    architecture trained on air quality and meteorological variables. The model demonstrated
    strong predictive performance (mean Rho=0.86, RMSE=3.5 μg/m3) across monitoring
    stations (17 with at least 35000 data points), supporting its potential application
    in real-time early warning systems across Bogotá. This integrated approach highlights
    the importance of localized air quality management, combining epidemiological
    assessment with predictive modeling. The findings underscore the urgency of implementing
    region-specific mitigation strategies and improving monitoring infrastructure
    to reduce health risks from ozone exposure in Bogotá’s rapidly growing urban environment.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Daniela
      foaf_name: Bustos, Daniela
      foaf_surname: Bustos
  - foaf_Person:
      foaf_givenName: Diana
      foaf_name: Garcia, Diana
      foaf_surname: Garcia
  - foaf_Person:
      foaf_givenName: Nestor Y.
      foaf_name: Rojas, Nestor Y.
      foaf_surname: Rojas
  - foaf_Person:
      foaf_givenName: Ellie A.
      foaf_name: Lopez-Barrera, Ellie A.
      foaf_surname: Lopez-Barrera
  - foaf_Person:
      foaf_givenName: Carlos
      foaf_name: Peña-Rincon, Carlos
      foaf_surname: Peña-Rincon
  - foaf_Person:
      foaf_givenName: Alejandro
      foaf_name: Casallas Garcia, Alejandro
      foaf_surname: Casallas Garcia
      foaf_workInfoHomepage: http://www.librecat.org/personId=92081129-2d75-11ef-a48d-b04dd7a2385a
    orcid: 0000-0002-1988-5035
  bibo_doi: 10.1007/s41748-026-01052-3
  dct_date: 2026^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/2509-9426
  - http://id.crossref.org/issn/2509-9434
  dct_language: eng
  dct_publisher: Springer Nature@
  dct_title: 'Ozone trends and mortality risk: The growing need for machine learning
    predictions in Bogotá, Colombia@'
...