During the first year, the consortium has produced 21 deliverables:
On the "impacts" side, D1.1 establishes the mapping of the impact assessments, and similarly for mental health impacts (D2.1) and health inequalities (D2.2). On the "data" side, D4.1 specifies the data sources and specifications that lead to the first release of the DATA ATLAS (D4.4). In terms of statistical models, a new class of forecast methods, based on dynamic SIR models, is proposed in D6.1. On the "policies" side, the project has specified an impact assessment methodology for best practices (D7.1) a policy governance proposal (D7.2) and a policy brief (D8.3). The first results of the project have been disseminated in workshops with policymakers (D8.1) and health authorities (D8.2). On the "operational” side, D13.1 and D14.1 set out the consortium strategy for project management and dissemination, and D13.2 the socio-sustainability strategy, whereas D12.1 and D12.2 specify the data management and ethics plan, along with five ethics requirements: D15,1, D15.2 D15.3 D15.4 D15.5.
During the second year, the consortium produced 20 deliverables:
On the "impacts" side, D1.2 presents an integrated report on the socio-economic impacts of the pandemics, and D3.1 on health systems. The behavioural impacts are reported in terms of: perception of covid-19 risks (D5.1) policy measures (D5.2) and (mis)information foraging (D5.3). On the "data" side, D4.5 presents version 2.0 of the DATA ATLAS, to which software components (D4.2) and visualisation components (D4.3) have been added. On the statistical modelling side, D6.2 extends dynamic SIR models into spatial temporal models to predict the impacts of policy measures.On the "policies" side, D7.3 describes the structure of the innovation challenge workshop, and D7.4 its results. Whereas D8.4 introducesof PERSEUS-COVE, a decision-making platform for policymakers, and D8.5 provides guidance on TRUSTWORTHY AI applications in health care. On a more holistic level, D9.1 proposes multi-level governance of the pandemic, for which the role of the EU is described in D9.2.
On the "technologies" side, D10.1 introduces COCTEAU, a gamification tool to increase citizens' engagement and policy inclusion; and D10.2 introduces S-PEEK, a fintech inclusion platform based on trustworthy credit ratings. Concerning training and validation, D11.1 specifies the training modules and D11.2 details their implementation as Massive Online Open Courses.
On the "operational" side, D15.6 specifies further ethics requirements.
During the third year of activity, the project has produced 11 deliverables. The impact activities have led to D1.3: a report on the recovery strategies; D2.3 and D2.4: extended reports on mental health and health inequality. Data science activities have focused on updating the Data atlas, the data repository of the project, and on building new statistical learning models for pandemic preparedness and policy making: D6.3: Bayesian models for decision making. Policy activities have intensified, with the update of PERSEUS-COVE (D8.6) and with two comprehensive reports, dedicated to the actual variability of EU policies (D7.6) a proposal for a EU health data governance (D7.5) and a proposal for a multi level governance of health care, including the role of the EU (D9.3).The technology work has been focused on the validation of the COCTEAU AND S-PEEK platforms (D10.3) and on the dissemination activities, centered around the website (D14.2). Finally, D15.7 contains the report of the ethics advisory body.
Over all three years of activity, the project has produced 52 deliverables, 92 scientific publications and 6 technological tools: the legacy of the project, which constitute a large body of scientific results on the socio-economic and behavioural impacts of the covid-19 pandemic, the lessons learnt from the obtained data and statistical models, the evaluation of the policies undertaken by the different governments, the technologies best suited to mitigate the effects of the pandemics.
