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Purpose: to evaluate the potential accessibility to public hospitals between 2019 and 2021. Methodology/Approach: comparative analysis of travel times by public transport, calculated using the r5r package in R with the GTFS provided by the municipality. Findings: for the three hospital categories evaluated, travel times increased around 20% in the study period, and the most vulnerable quintiles of population increased their travel times 8 points above the less vulnerable quintiles. Research Limitation/implication: travel times were calculated with programmed schedules and frequencies and fixed values of maximum travel time and maximum walking distance. Originality/Value of paper: comparative analysis pre-COVID and during COVID of geographical accessibility to healthcare centers. Use of the r5r package that allows changes in the parameters to calculate travel times such as maximum walking distance, maximum travel time, departure time or percentiles.

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<p><strong>Resumen: </strong>El objetivo del presente trabajo es calibrar un modelo de tiempo de espera percibido medio por los usuarios en base al tiempo medio de espera real. El estudio se realiza en servicios de ómnibus urbanos de alta frecuencia (intervalos menores a 20 minutos), sin horarios publicados y considerando que el arribo de los usuarios a las paradas presenta una distribución uniforme. En base a entrevistas a usuarios y mediciones en campo realizadas en Córdoba entre Abril y Septiembre de 2008 se había efectuado una calibración preliminar. En Abril de 2009 se procedió a realizar una nueva ronda de relevamientos. El trabajo compara estadísticamente los resultados obtenidos en ambas campañas y propone finalmente un modelo basado en la totalidad de la información disponible. Los resultados muestran que la sobrevaloración del tiempo de espera declarado es entre 2 y 4 veces el tiempo real. La sobrevaloración disminuye a medida que el intervalo entre servicios aumenta.</p><strong>Abstract: </strong>The objective of the paper is to calibrate a model of average waiting time perceived by users based on actual average waiting time. The study was conducted in urban bus services with high frequency (intervals less than 20 minutes), without published timetables and considering that the arrival of users to busstops follow a uniform distribution. Based on interviews with users and field measurements conducted in Cordoba between April and September 2008 a preliminary calibration was developed. In April 2009 a new round of surveys were performed. The paper compares the statistical results in both campaigns and finally proposing a model based on all available information. Results show that the overvaluation of the perceived waiting time is between 2 and 4 times the real waiting time. The overvaluation decreases as the interval between services becomes greater.