DOI: 10.5061/dryad.dfn2z3540
title: Weekly road traffic collision (AXA Mexico) & weekly road traffic deaths

description: Dataset 1 (AXA collisions 2015–2019) was curated and used to evaluate the
 effect of two road traffic regulations implemented in Mexico City in 2015
 and 2019 on collisions using an interrupted time series analysis.
 Collisions data came from insurance collision claims (January 2015 to
 December 2019). The dataset contains 8 variables: year (anio_n), week
 (semana), count of total collisions per week (c_total), count of
 collisions resulting in injury per week (c_p_lesion), binary variable to
 identify the 2015 intervention (limit), binary variable to identify the
 2019 intervention (limit1), the number of weeks from baseline (time), an
 estimate of the number of insured vehicles per week (veh_a_cdmx). Dataset
 2 (Road traffic deaths 2013–2019) was curated and used to evaluate the
 effect of two road traffic regulations implemented in Mexico City in 2015
 and 2019 on mortality using an interrupted time series analysis. Mortality
 data came from vital registries collated by the Mexican Institute for
 Geography and Statistics, INEGI, (January 2013 to December 2019). The
 dataset contains 7 variables: year (anio_ocur), week (semana), count of
 traffic-related deaths per week (def_trans), binary variable to identify
 the 2015 intervention (limit), binary variable to identify the 2019
 intervention (limit1), the number of weeks from baseline (time) and an
 estimate of the Mexico City population per week (pob_tot_p).
description: Dataset 1 arises from publicly
 available data on insurance-reported collisions published on the website
 of the International Institute for Data Science (see reference below). The
 data were collected by claims adjusters from the company AXA at the site
 of the collision using an electronic device. These data were available for
 public use from January 2015 to December 2019 and include information on
 individual collisions and their characteristics: date the collision
 occurred, location (coordinates and adjuster reported location), type of
 vehicle involved and whether there were injuries or deaths. Data were
 processed and cleaned, mapping collisions, and keeping only those
 georeferenced within Mexico City boundaries as well as coded to Mexico
 City in the reported location variable. We then summed the number of
 collisions per week and merged it with data on an estimate of the number
 of insured registered vehicles per week (using information from registered
 vehicles and proportion of insured vehicles from the Mexican Association
 of Insurance companies). Two more variables were created, one that
 identifies the week when the intervention came into effect and another
 variable to number the weeks since baseline. This dataset contains all the
 necessary information to conduct the interrupted time series analysis for
 total collisions and collisions resulting in
 injuries.  Dataset 2: mortality data were validated and
 reported by INEGI (see reference below) from death certificates filed
 mainly by the Health Sector, using the International Classification of
 Disease, 10th Revision (ICD-10) for diagnosis codes.  We used data from
 January 2013 to December 2019 and included deaths with the following
 ICD-10 codes: V02-V04 (.1-.9), V09, V092, V09.3, V09.9, V12-V14 (.3-.9),
 V19.4-V19.6, V19.9, V20-V28 (.3-.9), V29, V30-V39, V40-V79 (.4-.9),
 V80.3-V80.5, V81.1, V82.1, V82.1, V83-V86 (.0-.3), V87-V89.2 and V89.9. We
 summed the number of traffic-related deaths per week and merged it with
 data on an estimate of the total population in Mexico City per week (see
 refs below). Two more variables were created, one that identifies the week
 when the intervention came into effect and another variable to number the
 weeks since baseline. This dataset contains all the necessary information
 to conduct the interrupted time series analysis for road traffic
 deaths.  References to original
 data: Instituto Internacional de Ciencia de Datos.
 Datos AXA de Percances Viales [Internet]. 2020 [July 2021]. Available
 from: https://i2ds.org/datos-abiertos/. Instituto Nacional de Geografía y Estadística. Parque Vehicular [Internet]. 2019 [July 2021]. Available from: https://www.inegi.org.mx/temas/vehiculos/default.html#Tabulados. Dirección Ejecutiva de Líneas de Negocio área de Automóviles. Sistema Estadístico del Sector Asegurador del ramo Automóviles SESA 2018. Mexico City: Asociación Mexicana de Instituciones de Seguro, 2020. Instituto Nacional de Geografía y Estadística. Mortalidad [Internet]. 2020 [July 2021]. Available from: https://www.inegi.org.mx/programas/mortalidad/default.html#Datos_abiertos. World Health Organisation. ICD-10 Version:2010 [Internet]. 2010 [July 2021]. Available from: https://icd.who.int/browse10/2010/en. Consejo Nacional de Población. Proyecciones de la Población de México y de las Entidades Federativas, 2016-2050 [Internet]. 2018 [July 2021]. Available from: https://datos.gob.mx/busca/dataset/proyecciones-de-la-poblacion-de-mexico-y-de-las-entidades-federativas-2016-2050.