To cite HERoS deliverables, please use this format: Author last name, author first/middle name initials (year of publication). DX.X Deliverable title. Health Emergency Response in Interconnected Systems, at https://www.heros-project.eu/output/deliverables/, accessed (last date of access)
Example: Boersma, F.K., Kyratsis, Y, De Vries, M., Clark, N., Rollo, A., Falagara Sigala, I., Alani, H., Larruina, R., Berg, R., (2020). D1.1 – Recommendations for governance and policies in the n-COV-2019 response. Health Emergency Response in Interconnected Systems, at https://www.heros-project.eu/output/deliverables/, accessed 04/12/2020.
- “D4.1 – COVID-19 misinformation tracking” presents the state of the art in measuring the impact of fact-checking , highlighting a gap in which our knowledge of misinformation spread patterns is disconnected from how we approach the diffusion of fact-checking information. It highlight the necessity for understanding the “co-spread” of both misinformation and fact-checking information, to be able to measure the impact of fact-checking on specific misinforming claims temporally and, potentially, at the geographic or platform level.
- The objective of “D3.1 Gap analysis and recommendations for securing medical supplies for the COVID-19 response” is to identify the gaps in the medical supply chains caused by COVID-19, and to make recommendations helping to secure medical supplies. Thus, the present deliverable contributes to the effectiveness and efficiency of the response to the COVID-19 outbreak”.
- “D2.2 Healthcare System Analysis” assesses how healthcare systems responded to the crises during the first wave of the COVID-19 pandemic in the spring of 2020. In the study we analyse how different health care system features, country characteristics, and COVID-19 non-pharmaceutical interventions affected the spread of the virus on healthcare systems in Europe in the spring of 2020 and how the health care systems responded. Note: An ICU capacity online tool created within the context of this deliverable is now available.
- “D2.1 Local behavioural model and recommendations for local COVID-19” response makes a head start on agent-based modelling that provides insights into the dynamics of the spread and the impact of different policies in two cities. Based on this, we provide recommendations for cities and governmental bodies on robust policies that help to control the spread of the disease.
- Drawing on a selective review of published literature, theoretical constructs from organization sciences, public administration and political sciences, and feedback from experts in three countries (Netherlands, Finland and Italy), “D1.1 Recommendations for governance and policies in the COVID-19 response” conceptualizes the COVID-19 outbreak and its consequences as a wicked problem; a complex and dynamic societal challenge for which there is no single and widely accepted solution. It also analyzes the outbreak as a slow burning crisis, with long lasting effects well beyond when the “hot phase” of the crisis is over.