Epidemiological characteristics of COVID-19 cases in non-Italian nationals notified to the Italian surveillance system

Eur J Public Health. 2021 Feb 1;31(1):37-44. doi: 10.1093/eurpub/ckaa249.

Abstract

Background: International literature suggests that disadvantaged groups are at higher risk of morbidity and mortality from SARS-CoV-2 infection due to poorer living/working conditions and barriers to healthcare access. Yet, to date, there is no evidence of this disproportionate impact on non-national individuals, including economic migrants, short-term travellers and refugees.

Methods: We analyzed data from the Italian surveillance system of all COVID-19 laboratory-confirmed cases tested positive from the beginning of the outbreak (20th of February) to the 19th of July 2020. We used multilevel negative-binomial regression models to compare the case fatality and the rate of admission to hospital and intensive care unit (ICU) between Italian and non-Italian nationals. The analysis was adjusted for differences in demographic characteristics, pre-existing comorbidities, and period of diagnosis.

Results: We analyzed 213 180 COVID-19 cases, including 15 974 (7.5%) non-Italian nationals. We found that, compared to Italian cases, non-Italian cases were diagnosed at a later date and were more likely to be hospitalized {[adjusted rate ratio (ARR)=1.39, 95% confidence interval (CI): 1.33-1.44]} and admitted to ICU (ARR=1.19, 95% CI: 1.07-1.32), with differences being more pronounced in those coming from countries with lower human development index (HDI). We also observed an increased risk of death in non-Italian cases from low-HDI countries (ARR=1.32, 95% CI: 1.01-1.75).

Conclusions: A delayed diagnosis in non-Italian cases could explain their worse outcomes compared to Italian cases. Ensuring early access to diagnosis and treatment to non-Italians could facilitate the control of SARS-CoV-2 transmission and improve health outcomes in all people living in Italy, regardless of nationality.

Publication types

  • Observational Study

MeSH terms

  • Adult
  • COVID-19 / epidemiology*
  • Comorbidity
  • Delayed Diagnosis
  • Delivery of Health Care / organization & administration*
  • Female
  • Health Services Accessibility
  • Healthcare Disparities
  • Hospitalization / statistics & numerical data*
  • Humans
  • Intensive Care Units / statistics & numerical data*
  • Italy / epidemiology
  • Male
  • Middle Aged
  • Morbidity
  • Pandemics
  • Refugees / psychology
  • Refugees / statistics & numerical data*
  • SARS-CoV-2*
  • Transients and Migrants / psychology
  • Transients and Migrants / statistics & numerical data*