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COVID-19 infections in the Friuli Venezia Giulia Region (Northern Italy): a population-based retrospective analysis.
Calagnan, Elena; Gobbato, Michele; Burba, Ivana; Del Zotto, Stefania; Toffolutti, Federica; Serraino, Diego; Tonutti, Giuseppe.
  • Calagnan E; Azienda regionale di coordinamento per la salute (ARCS), Udine (Italy); elena.clagnan@arcs.sanita.fvg.it.
  • Gobbato M; Azienda regionale di coordinamento per la salute (ARCS), Udine (Italy).
  • Burba I; Azienda regionale di coordinamento per la salute (ARCS), Udine (Italy).
  • Del Zotto S; Azienda regionale di coordinamento per la salute (ARCS), Udine (Italy).
  • Toffolutti F; Cancer Epidemiology Unit, Centro di riferimento oncologico di Aviano (CRO) IRCCS Aviano (Italy).
  • Serraino D; Cancer Epidemiology Unit, Centro di riferimento oncologico di Aviano (CRO) IRCCS Aviano (Italy).
  • Tonutti G; Azienda regionale di coordinamento per la salute (ARCS), Udine (Italy).
Epidemiol Prev ; 44(5-6 Suppl 2): 323-329, 2020.
Article in English | MEDLINE | ID: covidwho-1068154
ABSTRACT

OBJECTIVES:

to study the cumulative incidence, the demographics and health conditions of the population tested for COVID-19, and to map the evolving distribution of individual cases in the population of the Friuli Venezia Giulia Region (North-Eastern Italy).

DESIGN:

population-based observational study based on a record linkage procedure of databases included in the electronic health information system of the Friuli Venezia Giulia Region. SETTING AND

PARTICIPANTS:

the study group consisted of individuals who resided in the Friuli Venezia Giulia Region and who underwent COVID-19 testing from 01.03 to 24.04.2020. The study group was identified from the laboratory database, which contains all the microbiological testing performed in regional facilities. Tested people were categorized into positive or negative cases, based on test results. MAIN OUTCOME

MEASURES:

probability of being tested for and cumulative incidence of COVID-19.

RESULTS:

the cumulative probability of being tested for COVID-19 was 278/10,000 inhabitants, while the cumulative incidence was 22 cases/10,000. Out of 33,853 tested people, 2,744 (8.1%) turned out to be positive for COVID-19. Women were tested more often than men (337 vs 216/10,000), and they showed a higher incidence of infection than men (25 and 19 infected cases/10,000 residents, respectively). Both cumulative incidence and cumulative probability of being tested were higher in the elderly population. About 25% of infected people was hosted in retirement homes and 9% was represented by healthcare workers. Thirty seven percent of positive cases had hypertension, 15% cardiologic diseases, while diabetes and cancer characterized 11.7% and 10% of the infected population, respectively. The geographic distribution of positive cases showed a faster spread of the infection in the city of Trieste, an urban area with the highest regional population density.

CONCLUSIONS:

the COVID-19 pandemic did not hit the Friuli Venezia Giulia Region as hard as other Northern Italian Regions. In the early phase, as documented in this study, the COVID-19 pandemic particularly affected women and elderly people, especially those living in retirement homes in Trieste.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Country/Region as subject: Europa Language: English Journal: Epidemiol Prev Journal subject: Epidemiology Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Country/Region as subject: Europa Language: English Journal: Epidemiol Prev Journal subject: Epidemiology Year: 2020 Document Type: Article