Luca Dei Bardi , University of Helsinki
Giulia Cesaroni, Department of Epidemiology of the Lazio Region
Nera Agabiti, Department of Epidemiology of the Lazio Region
Background: It is known from the literature that the COVID-19 pandemic exacerbated pre-existent socioeconomic inequalities as lower strata of socioeconomic position faced more financial adversities and were more likely to have a higher incidence of SARS-CoV-2 infection. Although, most of the studies are focused on the first outbreak of the pandemic. Since November 2020, when facing the second outbreak, Italy implemented a three-tier restriction system based on different levels of risk at the regional level (NUTS-2). This study has the main goal to estimate the impact of mitigation policies on SARS-CoV-2 weekly incidence in Italian provinces (NUTS-3) characterized by different levels of socioeconomic position from 24th February 2020 to 19th September 2021. Data: Weekly-incidence of positives to SARS-CoV-2 (Civil Protection Department), 2019 income tax data (Ministry of Economy and Finance), mobility data (Google), population density and rural/non-rural classification (Italian National Institute of Statistics). Methods: Ecological analysis. Interrupted time-series model and negative binomial regression with random effects (cluster = province). Expected Findings: We expect different impacts of implemented mitigation policies on the spread of SARS-CoV-2 in provinces with different socioeconomic levels, with more deprived provinces having milder restrictions’ effects on the incidence of SARS-CoV-2, other variables being equal. Expectations come from the assumption that lower socioeconomic provinces will be more prone to essential works, and hence, with fewer opportunities to respect restrictive measures.
Presented in Session P1. Postercafe