COVID-19 en la ciudad de Madrid y vulnerabilidad: Análisis de las dos primeras olas

Background: The advance of the pandemic in the large cities of the world with great virulence and the apparent heterogeneous distribution by factors of vulnerability, led us to propose this work. The objective of this study was to relate COVID-19 infection rates to the social vulnerability of the city of Madrid by district, in two different episodes, spring 2020 and summer 2020. Methods: Analytical cross-sectional study. Taking sociodemographic data of the entire population of the city of Madrid between the months of April and October 2020, together with the cumulative incidence rates of COVID-19, a linear regression analysis, correlation and factor analysis was carried out, relating the cumulative incidence rate of COVID-19 and the vulnerability indicator of the districts of the city of Madrid. Results: The results showed important differences between the two episodes of the pandemic: on one hand, the first had more relationship with health factors, while in the second, a relationship appeared with the groups of greater social vulnerability, territorially located in the South-East of the City and related in this case to social factors rather than health. Thus we see that the TIA x 100,000 in the first episode in Chamberí and Usera -two extreme districts in vulnerability- were 896 and 843 cases respectively, while in the second they were 3,708 and 6,258 cases. Conclusions: The territorial differences in the city become evident with the arrival of a generalised, universal event such as COVID-19, where vulnerability increases for everyone, with greater repercussions in those territories where it already had an impact. Fundamentos: El avance de la pandemia en las grandes ciudades del mundo con gran virulencia y la aparente distribución heterogénea por factores de vulnerabilidad, nos llevaron a plantear este trabajo. El objetivo de este estudio fue relacionar las tasas de infección por COVID-19 con la vulnerabilidad social de la ciudad de Madrid por distritos, en dos episodios distintos, primavera del 2020 y verano del 2020. Métodos: Estudio transversal analítico.Tomando los datos sociodemográficos de la totalidad de la población de la ciudad de Madrid entre los meses de abril y octubre de 2020, junto a las tasas de incidencia acumulada de la COVID-19, se realizó un análisis de regresión lineal, correlación y análisis factorial, relacionando la tasa de incidencia acumulada de la COVID-19 y el indicador de vulnerabilidad de los distritos de la ciudad de Madrid.