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1.
Eur J Public Health ; 34(Supplement_1): i11-i28, 2024 Jul 01.
Article in English | MEDLINE | ID: mdl-38946444

ABSTRACT

BACKGROUND: Contact tracing is a public health intervention implemented in synergy with other preventive measures to curb epidemics, like the coronavirus pandemic. The development and use of digital devices have increased worldwide to enhance the contact tracing process. The aim of the study was to evaluate the effectiveness and impact of tracking coronavirus disease 2019 (COVID-19) patients using digital solutions. METHODS: Observational studies on digital contact tracing (DCT), published 2020-21, in English were identified through a systematic literature review performed on nine online databases. An ad hoc form was used for data extraction of relevant information. Quality assessment of the included studies was performed with validated tools. A qualitative synthesis of the findings is reported. RESULTS: Over 8000 records were identified and 37 were included in the study: 24 modelling and 13 population-based studies. DCT improved the identification of close contacts of COVID-19 cases and reduced the effective reproduction number of COVID-19-related infections and deaths by over 60%. It impacted positively on societal and economic costs, in terms of lockdowns and use of resources, including staffing. Privacy and security issues were reported in 27 studies. CONCLUSIONS: DCT contributed to curbing the COVID-19 pandemic, especially with the high uptake rate of the devices and in combination with other public health measures, especially conventional contact tracing. The main barriers to the implementation of the devices are uptake rate, security and privacy issues. Public health digitalization and contact tracing are the keys to countries' emergency preparedness for future health crises.


Subject(s)
COVID-19 , Contact Tracing , Pandemics , SARS-CoV-2 , COVID-19/prevention & control , COVID-19/epidemiology , Humans , Contact Tracing/methods , Pandemics/prevention & control , Digital Technology , Public Health/methods
2.
Eur J Public Health ; 34(3): 592-599, 2024 Jun 07.
Article in English | MEDLINE | ID: mdl-38243748

ABSTRACT

BACKGROUND: A significant proportion of individuals reports persistent clinical manifestations following SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) acute infection. Nevertheless, knowledge of the burden of this condition-often referred to as 'Long COVID'-on the health care system remains limited. This study aimed to evaluate healthcare utilization potentially related to Long COVID. METHODS: Population-based, retrospective, multi-center cohort study that analyzed hospital admissions and utilization of outpatient visits and diagnostic tests between adults aged 40 years and older recovered from SARS-CoV-2 infection occurred between February 2020 and December 2021 and matched unexposed individuals during a 6-month observation period. Healthcare utilization was analyzed by considering the setting of care for acute SARS-CoV-2 infection [non-hospitalized, hospitalized and intensive care unit (ICU)-admitted] as a proxy for the severity of acute infection and epidemic phases characterized by different SARS-CoV-2 variants. Data were retrieved from regional health administrative databases of three Italian Regions. RESULTS: The final cohort consisted of 307 994 previously SARS-CoV-2 infected matched with 307 994 uninfected individuals. Among exposed individuals, 92.2% were not hospitalized during the acute infection, 7.3% were hospitalized in a non-ICU ward and 0.5% were admitted to ICU. Individuals previously infected with SARS-CoV-2 (vs. unexposed), especially those hospitalized or admitted to ICU, reported higher utilization of outpatient visits (range of pooled Incidence Rate Ratios across phases; non-hospitalized: 1.11-1.33, hospitalized: 1.93-2.19, ICU-admitted: 3.01-3.40), diagnostic tests (non-hospitalized: 1.35-1.84, hospitalized: 2.86-3.43, ICU-admitted: 4.72-7.03) and hospitalizations (non-hospitalized: 1.00-1.52, hospitalized: 1.87-2.36, ICU-admitted: 4.69-5.38). CONCLUSIONS: This study found that SARS-CoV-2 infection was associated with increased use of health care in the 6 months following infection, and association was mainly driven by acute infection severity.


Subject(s)
COVID-19 , Hospitalization , Patient Acceptance of Health Care , SARS-CoV-2 , Humans , COVID-19/epidemiology , Male , Retrospective Studies , Female , Middle Aged , Aged , Adult , Hospitalization/statistics & numerical data , Italy/epidemiology , Patient Acceptance of Health Care/statistics & numerical data , Post-Acute COVID-19 Syndrome , Cohort Studies , Health Resources/statistics & numerical data , Intensive Care Units/statistics & numerical data
3.
Arch Public Health ; 80(1): 23, 2022 Jan 10.
Article in English | MEDLINE | ID: mdl-35012667

ABSTRACT

BACKGROUND: Research networks offer multidisciplinary expertise and promote information exchange between researchers across Europe. They are essential for the European Union's (EU) health information system as providers of health information and data. The aim of this mapping exercise was to identify and analyze EU research networks in terms of health data collection methods, quality assessment, availability and accessibility procedures. METHODS: A web-based search was performed to identify EU research networks that are not part of international organizations (e.g., WHO-Europe, OECD) and are involved in collection of data for health monitoring or health system performance assessment. General characteristics of the research networks (e.g., data sources, representativeness), quality assessment procedures, availability and accessibility of health data were collected through an ad hoc extraction form. RESULTS: Fifty-seven research networks, representative at national, international or regional level, were identified. In these networks, data are mainly collected through administrative sources, health surveys and cohort studies. Over 70% of networks provide information on quality assessment of their data collection procedures. Most networks share macrodata through articles and reports, while microdata are available from ten networks. A request for data access is required by 14 networks, of which three apply a financial charge. Few networks share data with other research networks (8/49) or specify the metadata-reporting standards used for data description (9/49). CONCLUSIONS: Improving health information and availability of high quality data is a priority in Europe. Research networks could play a major role in tackling health data and information inequalities by enhancing quality, availability, and accessibility of health data and data sharing across European networks.

4.
Ann Ist Super Sanita ; 54(4): 324-331, 2018.
Article in English | MEDLINE | ID: mdl-30575569

ABSTRACT

INTRODUCTION: Italian and Serbian Health authorities performed an in-depth Gap Assessment of the Serbian microbiology system in the function of communicable disease surveillance using a methodology adapted to context and information needs. METHODS: There were two study phases: a capacity based survey and an equipment mapping survey. Invited participants included national health authorities, heads of national reference laboratories and of public/private diagnostic laboratories in Serbia. Findings were analysed preliminarily and identified gaps were discussed, prioritized and validated through two ad hoc workshops involving all concerned institutions. RESULTS: The Gap Assessment was performed between September and December 2017. The overall response rate was 69% for phase one and 74% for phase two. Identified gaps were assessed as highly relevant during the project workshops. DISCUSSION: Gaps and priorities were highlighted, validated, and studied with a suitable level of detail to develop a concrete action-plan. The same methodological approach could be used to monitor progress in Serbia as well as in other EU candidate countries.


Subject(s)
Communicable Diseases/epidemiology , Microbiology/standards , Disease Notification , Europe , Humans , Microbiology/organization & administration , Microbiology/statistics & numerical data , Public Health Surveillance/methods , Serbia/epidemiology , Surveys and Questionnaires
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