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1.
Int J Environ Res Public Health ; 19(9)2022 04 25.
Article in English | MEDLINE | ID: covidwho-1809903

ABSTRACT

Healthcare workers (HCWs) played an essential role in managing the COVID-19 pandemic. The Italian Workers' Compensation Authority (INAIL) and the Italian National Institute of Health (ISS) developed a retrospective study to analyze and understand trends and characteristics of infections among HCWs during the first wave of the pandemic. Between May and September 2020, Italian Regions retrospectively collected anonymous data regarding HCWs infected from the beginning of the pandemic until 30 April 2020 from their administrative sources through a questionnaire asking for socio-demographic and occupational information about the characteristics of contagion and disease outcome. Almost 16,000 valid questionnaires were received. Logistic regression was performed to ascertain the effect of age, gender, geographical macro area, profession, and pre-existing health conditions on the likelihood of HCWs developing more severe forms of COVID-19 (at least hospitalization with mild symptoms). All predictor variables were statistically significant. HCWs at higher risk of developing a more severe disease were males (OR: 1.90; 95% CI: 1.44-2.51), older than 60 years of age (OR: 6.00; 95% CI: 3.30-10.91), doctors (OR: 4.22; 95% CI: 2.22-9.02), working in Lombardy (OR: 55.24; 95% CI: 34.96-87.29) and with pre-existing health conditions (OR: 1.90; 95% CI: 1.43-2.51). This study analyses the main reasons for the overload put on the National Health Service by the first wave of the pandemic and the risk of infection for HCWs by age, gender, occupational profile and pre-existing health conditions. Improved knowledge, availability of personal protective equipment (PPE) and a tight vaccination campaign for HCWs strongly changed the trend of infections among HCWs, with substantial elimination of serious and fatal cases.


Subject(s)
COVID-19 , COVID-19/epidemiology , Female , Health Personnel , Humans , Italy/epidemiology , Male , Pandemics , Retrospective Studies , SARS-CoV-2 , State Medicine
2.
Med Lav ; 112(2): 141-152, 2021 Apr 20.
Article in English | MEDLINE | ID: covidwho-1196172

ABSTRACT

BACKGROUND: Starting from February 2020, in Italy most organizations have had a forced transition to flexible working practice - called "smart working in emergency" - due to the Covid-19 epidemic outbreak. This allowed to continue work activities and services and contributed to contain the risk of infection in different sectors, particularly in the public administration. OBJECTIVES: This follow up study focussed on a panel of 187 workers from the Italian Workers' Compensation Authority taking part to a pilot project "Smart Working in INAIL" from January 2019 to December 2019. The aim was to investigate the effects of work organization on work attitudes, work-life balance and health outcomes before and after the introduction of the smart working. METHODS: The data were collected at two time points through a web-based questionnaire. The first wave aimed to collect information up to one month before the implementation of the smart working. The second wave aimed to collect information about potential changes occurred after one year of smart working. RESULTS: This study showed that high demands, low control and low social support might lead to reduced well-being and less satisfaction with work, and have an effect on work engagement and work-life balance. Particularly, improving social support can moderate the negative impact of high strain on well-being, preventing work-life imbalance and risk of isolation. DISCUSSION: Findings and future perspectives are discussed to support stakeholders in defining policies and practices concerning health and wellbeing at work while preserving productivity, for a successful implementation of smart working in the public administration.


Subject(s)
COVID-19 , Follow-Up Studies , Humans , Italy , Pilot Projects , SARS-CoV-2
3.
PLoS One ; 16(3): e0248874, 2021.
Article in English | MEDLINE | ID: covidwho-1143295

ABSTRACT

The COVID-19 pandemic has spread worldwide, with considerable public health and socio-economic impacts that are seriously affecting health and safety of workers, as well as their employment stability. Italy was the first of many other western countries to implement extended containment measures. Health workers and others employed in essential sectors have continued their activity, reporting high infection rate with many fatalities. The epidemiological trend highlighted the importance of work as a substantial factor to consider both when implementing strategies aimed at containing the pandemic and shaping the lockdown mitigation strategy required for sustained economic recovery. To support the decision-making process, we have developed a strategy to predict the risk of infection by SARS-CoV-2 in the workplace based on the analysis of the working process and proximity between employees; risk of infection connected to the type of activity; involvement of third parties in the working processes and risk of social aggregation. We applied this approach to outline a risk index for each economic activity sector, with different levels of detail, also considering the impact on mobility of the working population. This method was implemented into the national epidemiological surveillance model in order to estimate the impact of re-activation of specific activities on the reproduction number. It has also been adopted by the national scientific committee set up by the Italian Government for action-oriented policy advice on the COVID-19 emergency in the post lockdown phase. This approach may play a key role for public health if associated with measures for risk mitigation in enterprises through strategies of business process re-engineering. Furthermore, it will make a contribution to reconsidering the organization of work, including also innovation and fostering the integration with the national occupational safety and health (OSH) system.


Subject(s)
COVID-19/prevention & control , Workplace , COVID-19/pathology , COVID-19/virology , Decision Making , Health Personnel/psychology , Humans , Italy , Public Health , Risk Assessment , SARS-CoV-2/isolation & purification
4.
Proc Natl Acad Sci U S A ; 118(4)2021 01 26.
Article in English | MEDLINE | ID: covidwho-1061479

ABSTRACT

After the national lockdown imposed on March 11, 2020, the Italian government has gradually resumed the suspended economic and social activities since May 4, while maintaining the closure of schools until September 14. We use a model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission to estimate the health impact of different exit strategies. The strategy adopted in Italy kept the reproduction number Rt at values close to one until the end of September, with marginal regional differences. Based on the estimated postlockdown transmissibility, reopening of workplaces in selected industrial activities might have had a minor impact on the transmissibility. Reopening educational levels in May up to secondary schools might have influenced SARS-CoV-2 transmissibility only marginally; however, including high schools might have resulted in a marked increase of the disease burden. Earlier reopening would have resulted in disproportionately higher hospitalization incidence. Given community contacts in September, we project a large second wave associated with school reopening in the fall.


Subject(s)
COVID-19/prevention & control , Communicable Disease Control/methods , Quarantine/methods , COVID-19/epidemiology , COVID-19/transmission , COVID-19/virology , Hospitalization , Humans , Italy/epidemiology , Models, Theoretical , Pandemics , Physical Distancing , Retrospective Studies , SARS-CoV-2/isolation & purification , Schools
5.
Occup Environ Med ; 77(12): 818-821, 2020 12.
Article in English | MEDLINE | ID: covidwho-792815

ABSTRACT

INTRODUCTION: The SARS-CoV-2 pandemic is an impacting challenge for occupational health. Epidemiological surveillance of COVID-19 includes systematic tracking and reporting of the total cases and deaths, but suitable experiences of surveillance systems for identifying the occupational risk factors involved in the COVID-19 pandemic are still missing, despite the interest for occupational safety and health. METHODS: A methodological approach has been implemented in Italy to estimate the occupational risk of infection, classifying each economic sector as at low, medium-low, medium-high and high risk, based on three parameters: exposure probability, proximity index and aggregation factor. Furthermore, during the epidemic emergency, the Italian Workers' Compensation Authority introduced the notation of COVID-19 work-related infection as an occupational injury and collected compensation claims of workers from the entire national territory. RESULTS: According to compensation claims applications, COVID-19 infection in Italy has been acquired at the workplace in a substantial portion of the total cases (19.4%). The distribution of the economic sectors involved is coherent with the activities classified at risk in the lockdown period. The economic sectors mostly involved were human health and social work activities, but occupational compensation claims also include cases in meat and poultry processing plants workers, store clerks, postal workers, pharmacists and cleaning workers. CONCLUSIONS: There is a need to go towards an occupational surveillance system for COVID-19 cases, including an individual anamnestic analysis of the circumstances in which the infection is acquired, for the prevention of occupational infectious risk, supporting insurance system effectiveness and managing vaccination policies.


Subject(s)
Coronavirus Infections , Occupational Exposure , Occupational Health , Occupations , Pandemics , Pneumonia, Viral , Workers' Compensation , Workplace , Adult , COVID-19 , Commerce , Coronavirus Infections/epidemiology , Female , Food Industry , Health Personnel , Humans , Italy/epidemiology , Male , Middle Aged , Occupational Injuries , Pneumonia, Viral/epidemiology , Population Surveillance , Postal Service , Risk Factors , Social Workers
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