HNPW Event: HERoS - Health Emergency Response in Interconnected Systems
The HNPW, organized by OCHA, is the largest events of its kind, providing a collaborative space for practitioners and experts from a large variety of humanitarian stakeholders including UN agencies, Member States, NGOs, the Red Cross and Red Crescent movement, academia, the military & private sector initiatives, to collaborate in identifying solutions to common challenges in crisis preparedness and response.
¨HERoS - Health Emergency Response in Interconnected Systems¨
by Professor Gyöngyi Kovács, Hanken School of Economics
The overall objective of the EU-funded HERoS (Health Emergency Response in Interconnected Systems), project is to improve the effectiveness and efficiency of the response to the Covid-19 outbreak. HERoS creates and provides policies and guidelines for improved crisis governance, focusing on responders to public health emergencies, and their needs to make informed decisions. HERoS further improves the predictions of the spread by understanding and modelling the impact of local behaviour on the spread of the disease. Furthermore, HERoS improves the management of medical supply chains for preparedness and response, as well as evaluates the impact of cascading effects across global supply chains. The HERoS consortium researchers from humanitarian logistics and supply chain management (Hanken), epidemiological modelling and policy design (TUDelft), crisis governance (Vrije Universiteit Amsterdam); machine learning and information sciences (Open University), public health services (Nordic Healthcare Group) to space research and geoinformation (Centrum Badań Kosmicznych Polskiej Akademii Nauk), to UAV development (Squadron), health emergency responders (Polskie Centrum Pomocy Międzynarodowej, Croce Rossa Italiana, Project HOPE) and project management (ARTTIC). This session will present findings from the HERoS project and discuss ways forward in the Covid-19 response.
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.
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.
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.
D3.1 Gap analysis and recommendations for securing medical supplies for the COVID-19 response” is to identifies the gaps in the medical supply chains caused by COVID-19, and to make recommendations helping to secure medical supplies. Thus, contributes to the effectiveness and efficiency of the response to the COVID-19 outbreak”.
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 This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 101003606
More info: https://www.heros-project.eu