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1.
Epidemiol Prev ; 44(5-6 Suppl 2): 70-80, 2020.
Article in Italian | MEDLINE | ID: covidwho-2240192

ABSTRACT

OBJECTIVES: to describe the integrated surveillance system of COVID-19 in Italy, to illustrate the outputs used to return epidemiological information on the spread of the epidemic to the competent public health bodies and to the Italian population, and to describe how the surveillance data contributes to the ongoing weekly regional monitoring and risk assessment system. METHODS: the COVID-19 integrated surveillance system is the result of a close and continuous collaboration between the Italian National Institute of Health (ISS), the Italian Ministry of Health, and the regional and local health authorities. Through a web platform, it collects individual data of laboratory confirmed cases of SARS-CoV-2 infection and gathers information on their residence, laboratory diagnosis, hospitalisation, clinical status, risk factors, and outcome. Results, for different levels of aggregation and risk categories, are published daily and weekly on the ISS website, and made available to national and regional public health authorities; these results contribute one of the information sources of the regional monitoring and risk assessment system. RESULTS: the COVID-19 integrated surveillance system monitors the space-time distribution of cases and their characteristics. Indicators used in the weekly regional monitoring and risk assessment system include process indicators on completeness and results indicators on weekly trends of newly diagnosed cases per Region. CONCLUSIONS: the outputs of the integrated surveillance system for COVID-19 provide timely information to health authorities and to the general population on the evolution of the epidemic in Italy. They also contribute to the continuous re-assessment of risk related to transmission and impact of the epidemic thus contributing to the management of COVID-19 in Italy.


Subject(s)
COVID-19/epidemiology , Population Surveillance , SARS-CoV-2 , Hospitalization/statistics & numerical data , Humans , Information Dissemination , Italy/epidemiology , Population Surveillance/methods , Research Report , Risk
4.
Eur J Public Health ; 31(1): 37-44, 2021 02 01.
Article in English | MEDLINE | ID: covidwho-1015343

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.


Subject(s)
COVID-19/epidemiology , Delivery of Health Care/organization & administration , Hospitalization/statistics & numerical data , Intensive Care Units/statistics & numerical data , Refugees/statistics & numerical data , SARS-CoV-2 , Transients and Migrants/statistics & numerical data , Adult , Comorbidity , Delayed Diagnosis , Female , Health Services Accessibility , Healthcare Disparities , Humans , Italy/epidemiology , Male , Middle Aged , Morbidity , Pandemics , Refugees/psychology , Transients and Migrants/psychology
5.
Euro Surveill ; 25(49)2020 12.
Article in English | MEDLINE | ID: covidwho-972067

ABSTRACT

BackgroundOn 20 February 2020, a locally acquired coronavirus disease (COVID-19) case was detected in Lombardy, Italy. This was the first signal of ongoing transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the country. The number of cases in Italy increased rapidly and the country became the first in Europe to experience a SARS-CoV-2 outbreak.AimOur aim was to describe the epidemiology and transmission dynamics of the first COVID-19 cases in Italy amid ongoing control measures.MethodsWe analysed all RT-PCR-confirmed COVID-19 cases reported to the national integrated surveillance system until 31 March 2020. We provide a descriptive epidemiological summary and estimate the basic and net reproductive numbers by region.ResultsOf the 98,716 cases of COVID-19 analysed, 9,512 were healthcare workers. Of the 10,943 reported COVID-19-associated deaths (crude case fatality ratio: 11.1%) 49.5% occurred in cases older than 80 years. Male sex and age were independent risk factors for COVID-19 death. Estimates of R0 varied between 2.50 (95% confidence interval (CI): 2.18-2.83) in Tuscany and 3.00 (95% CI: 2.68-3.33) in Lazio. The net reproduction number Rt in northern regions started decreasing immediately after the first detection.ConclusionThe COVID-19 outbreak in Italy showed a clustering onset similar to the one in Wuhan, China. R0 at 2.96 in Lombardy combined with delayed detection explains the high case load and rapid geographical spread. Overall, Rt in Italian regions showed early signs of decrease, with large diversity in incidence, supporting the importance of combined non-pharmacological control measures.


Subject(s)
Basic Reproduction Number , COVID-19/epidemiology , Adult , Aged , Aged, 80 and over , COVID-19/mortality , COVID-19/transmission , Female , Health Personnel/statistics & numerical data , Humans , Italy/epidemiology , Male , Middle Aged , Mortality , SARS-CoV-2
6.
Ann Ist Super Sanita ; 56(3): 373-377, 2020.
Article in English | MEDLINE | ID: covidwho-789698

ABSTRACT

We aimed to compare COVID-19-specific and all-cause mortality rates among natives and migrants in Italy and to investigate the clinical characteristics of individuals dying with COVID-19 by native/migrant status. The mortality rates and detailed clinical characteristics of natives and migrants dying with COVID-19 were explored by considering the medical charts of a representative sample of patients deceased in Italian hospitals (n = 2,687) between February 21st and April 29th, 2020. The migrant or native status was assigned based on the individual's country of birth. The expected all-cause mortality among natives and migrants living in Italy was derived by the last available (2018) dataset provided by the Italian National Institute of Statistics. Overall, 68 individuals with a migration background were identified. The proportions of natives and migrants among the COVID-19-related deaths (97.5% and 2.5%, respectively) were similar to the relative all-cause mortality rates estimated in Italy in 2018 (97.4% and 2.6%, respectively). The clinical phenotype of migrants dying with COVID-19 was similar to that of natives except for the younger age at death. International migrants living in Italy do not have a mortality advantage for COVID-19 and are exposed to the risk of poor outcomes as their native counterparts.


Subject(s)
Betacoronavirus , Coronavirus Infections/mortality , Pandemics , Pneumonia, Viral/mortality , Transients and Migrants/statistics & numerical data , Adult , Age Distribution , Aged , Aged, 80 and over , Albania/ethnology , COVID-19 , Cardiovascular Diseases/epidemiology , Cause of Death , Comorbidity , Diabetes Mellitus, Type 2/epidemiology , Female , France/ethnology , Healthy Worker Effect , Hospital Records , Humans , Italy/epidemiology , Male , Middle Aged , Mortality/ethnology , Neoplasms/epidemiology , Obesity/epidemiology , Pulmonary Disease, Chronic Obstructive/epidemiology , Renal Insufficiency, Chronic/epidemiology , SARS-CoV-2
7.
Pediatrics ; 146(4)2020 10.
Article in English | MEDLINE | ID: covidwho-646154

ABSTRACT

OBJECTIVES: To describe the epidemiological and clinical characteristics of coronavirus disease (COVID-19) pediatric patients aged <18 years in Italy. METHODS: Data from the national case-based surveillance system of confirmed COVID-19 infections until May 8, 2020, were analyzed. Demographic and clinical characteristics of subjects were summarized by age groups (0-1, 2-6, 7-12, 13-18 years), and risk factors for disease severity were evaluated by using a multilevel (clustered by region) multivariable logistic regression model. Furthermore, a comparison among children, adults, and elderly was performed. RESULTS: Pediatric patients (3836) accounted for 1.8% of total infections (216 305); the median age was 11 years, 51.4% were male, 13.3% were hospitalized, and 5.4% presented underlying medical conditions. The disease was mild in 32.4% of cases and severe in 4.3%, particularly in children ≤6 years old (10.8%); among 511 hospitalized patients, 3.5% were admitted in ICU, and 4 deaths occurred. Lower risk of disease severity was associated with increasing age and calendar time, whereas a higher risk was associated with preexisting underlying medical conditions (odds ratio = 2.80, 95% confidence interval = 1.74-4.48). Hospitalization rate, admission in ICU, disease severity, and days from symptoms onset to recovery significantly increased with age among children, adults and elderly. CONCLUSIONS: Data suggest that pediatric cases of COVID-19 are less severe than adults; however, age ≤1 year and the presence of underlying conditions represent severity risk factors. A better understanding of the infection in children may give important insights into disease pathogenesis, health care practices, and public health policies.


Subject(s)
Coronavirus Infections/epidemiology , Pandemics , Pneumonia, Viral/epidemiology , Severity of Illness Index , Adolescent , Age Factors , Betacoronavirus , COVID-19 , Child , Child, Preschool , Comorbidity , Coronavirus Infections/diagnosis , Coronavirus Infections/mortality , Coronavirus Infections/therapy , Critical Care , Female , Humans , Infant , Infant, Newborn , Italy/epidemiology , Logistic Models , Male , Pneumonia, Viral/diagnosis , Pneumonia, Viral/mortality , Pneumonia, Viral/therapy , Population Surveillance , Risk Factors , SARS-CoV-2
8.
J Gerontol A Biol Sci Med Sci ; 75(9): 1796-1800, 2020 09 16.
Article in English | MEDLINE | ID: covidwho-548664

ABSTRACT

BACKGROUND: Aim of the present study is to describe characteristics of COVID-19-related deaths and to compare the clinical phenotype and course of COVID-19-related deaths occurring in adults (<65 years) and older adults (≥65 years). METHOD: Medical charts of 3,032 patients dying with COVID-19 in Italy (368 aged < 65 years and 2,664 aged ≥65 years) were revised to extract information on demographics, preexisting comorbidities, and in-hospital complications leading to death. RESULTS: Older adults (≥65 years) presented with a higher number of comorbidities compared to those aged <65 years (3.3 ± 1.9 vs 2.5 ± 1.8, p < .001). Prevalence of ischemic heart disease, atrial fibrillation, heart failure, stroke, hypertension, dementia, COPD, and chronic renal failure was higher in older patients (≥65 years), while obesity, chronic liver disease, and HIV infection were more common in younger adults (<65 years); 10.9% of younger patients (<65 years) had no comorbidities, compared to 3.2% of older patients (≥65 years). The younger adults had a higher rate of non-respiratory complications than older patients, including acute renal failure (30.0% vs 20.6%), acute cardiac injury (13.5% vs 10.3%), and superinfections (30.9% vs 9.8%). CONCLUSIONS: Individuals dying with COVID-19 present with high levels of comorbidities, irrespective of age group, but a small proportion of deaths occur in healthy adults with no preexisting conditions. Non-respiratory complications are common, suggesting that the treatment of respiratory conditions needs to be combined with strategies to prevent and mitigate the effects of non-respiratory complications.


Subject(s)
Cardiovascular Diseases , Coronavirus Infections , Dementia , Kidney Failure, Chronic , Pandemics , Pneumonia, Viral , Age Factors , Aged , Betacoronavirus/isolation & purification , COVID-19 , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/epidemiology , Cause of Death , Comorbidity , Coronavirus Infections/complications , Coronavirus Infections/diagnosis , Coronavirus Infections/mortality , Coronavirus Infections/physiopathology , Dementia/diagnosis , Dementia/epidemiology , Female , HIV Infections/diagnosis , HIV Infections/epidemiology , Humans , Italy/epidemiology , Kidney Failure, Chronic/diagnosis , Kidney Failure, Chronic/epidemiology , Male , Middle Aged , Mortality , Pneumonia, Viral/complications , Pneumonia, Viral/diagnosis , Pneumonia, Viral/mortality , Pneumonia, Viral/physiopathology , Prevalence , Risk Factors , SARS-CoV-2
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