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CORDIS - Résultats de la recherche de l’UE

Health Emergency Response in Interconnected Systems


First online version of the HERoS project website

To facilitate dissemination, this deliverable ensures a joint website presence of the project.

HERoS contact list gap analysis results year 2

To ensure that the project reaches out to all relevant stakeholders and that all projectinternal contacts are up to date throughout the entire project this deliverable updates the analysis and identifies any potential gaps in its contact list

Integration of surveillance data to the minimum data set of EMTs

This deliverable is both a report and a demonstration of the integration of the WHO COVID19 surveillance requirement to the minimum data set of emergency medical teams

Correcting misinformation with efficient explainability methods

This deliverable presents the recommendations of the most suitable procedures for explaining to users the coronavirus misinformation and their corrective information

Local behavioural model and recommendations for local COVID-19 response

This deliverable reports on an agent-based model of the local behaviour of the population that consider the local interaction dynamic of contact networks in an epidemic, including not just population density and age structure, but also local social networks and typical interaction patterns. Key here will also be the behaviour of infected patients that are contagious, but not yet sick, or people who circumvent quarantine regulations. The deliverable provides rapid recommendations for the Covid-19 response locally and globally, including visualisations of hotspots and critical trends.

Methodology for economic impact assessment of supply chain disruptions

This deliverable develops a methodology for capturing the economic impact of the COVID19 outbreak including macroeconomic input models the interdependencies between industries and sectors and cascades through global supply chains

HERoS contact list gap analysis results year 1

To ensure that the project reaches out to all relevant stakeholders and that all project-internal contacts are up to date, this deliverable analyses any potential gaps in its contact list.

Public health system analysis and recommendations

This deliverable is a report on the behavioural analysis of healthcare systems and public health providers in light of the COVID-19 outbreak. The deliverable also reports on, and pilots and epidemiological model that simulates the spread of the disease in order to quantify the demand and strain on national healthcare systems that the COVID-19 poses. It develops different demand scenarios based on the epidemiological modeling, and a categorisation of healthcare systems with respect to public health capabilities for the Covid-19 response.

Recommendations for governance and policies in the COVID-19 response

This deliverable reports the findings from Task 1.1 in a way that it provides policy recommendations for net-centric governance. Case studies based on data from HERoS end users will inform how information on the Corona crisis is framed, sent and received, and what governance arrangements and practices are in place to respond to the crisis.

Report on virtual meeting with the leadership of other thematically relevant SARS-CoV2 projects funded under the Expression of Interest SC1-PHE-CORONAVIRUS-2020 to identify synergies and areas for collaboration

This report will include: 1) Plan for regular (follow up) meetings to update on each other’s progress 2) Concrete plan to ensure the use of common study protocols and harmonised data collection, such as for case management in primary and hospital care facilities. 3) Plan to ensure coordinated modelling 4) Set up of inter-project working groups, where relevant, to align efforts throughout the projects lifetime 5) Ensure the integration of social sciences capacities across projects, as well as collaboration and coordination of activities 6) Share any research finding with relevance for public health policy on the dedicated platform (Health Policy Platform/research for policy action)

Crisis governance lessons learned and best practices

This deliverable formulates generic governance policies and protocols for netcentric governance for humanitarian responders and concrete recommendations in terms of smart governance solutions including the definition of arrangements that lead to an integration of information and cognitive understanding of the crisis situation without losing sight of the professional and cultural diversity of the involved stakeholders THe deliverable provides a framework based on validated principles and best practices for the building blocks of a multilayered networked governance approach

HERoS Stakeholder engagement and dissemination plan

This deliverable identifies and classifies stakeholders of the project and ensures that the dissemination reaches them.

Update of report of D6.1 and D6.7

Update on virtual meetings with the leadership of other thematically relevant SARSCoV2 projects funded under the Expression of Interest SC1PHECORONAVIRUS2020 to identify synergies and areas for collaboration

Gap analysis and recommendations for securing medical supplies for the COVID-19 response

This deliverable focuses on the identification of shortages in the current medical supply chain for the Covid-19 response. It identifies gaps in pandemic preparedness and develops recommendations for how to overcome these gaps for the current response.

Update of report on D6.1

Update on virtual meetings with the leadership of other thematically relevant SARS-CoV2 projects funded under the Expression of Interest SC1-PHE-CORONAVIRUS-2020 to identify synergies and areas for collaboration.

Assessment of the online spread of coronavirus misinformation

This deliverable collects coronavirus-related rumour assessments, produces a map of specific claims, and of the corrective information published by fact-checkers.

Adaptation of workflows for drone deliveries to quarantines

This deliverable focuses on medical deliveries in the last mile especially the use of drones for deliveries to quarantined environments This deliverable develops the workflows drone deliveries which are simulated and demonstrated in the next one

Coupled model and comprehensive scenario analyses

This deliverable couples the models from D2.1 and D2.2 with results from WP3 on transportation networks and frequently used connections between regions and countries. The coupled model simulates how the emergence of local behaviour cascades into different countries and regions, and defines the tipping points at a local level that lead to a collapse or deterioration of the health care system internationally.The deliverable provides policy recommendations that help prevent the spread of future diseases.

Training to end users

This is the training to end users and project stakeholders.

Demonstration of drone deliveries to quarantines on the UAV full mission simulator

This deliverable implements the workflows for drone deliveries and demonstrates the use of drones for medical deliveries to and from quarantine zones.

Classification approaches of crowdsourced information on the coronavirus

This deliverable enhances the situational awareness of information by clustering and presenting a classification method for crowdsourced information

Webinars and MOOC

The training is further developed into a massive online open course (MOOC) and webinars for a wider audience.


The evolution of humanitarian logistics as a discipline through a crystal ball

Auteurs: Altay, N., Kovács, G. and Spens, K.
Publié dans: Journal of Humanitarian Logistics and Supply Chain Management, 2021, ISSN 2042-6747
Éditeur: Emerald Publishing
DOI: 10.1108/jhlscm-06-2021-0056

Mitigating personal protective equipment (PPE) supply chain disruptions in pandemics – a system dynamics approach

Auteurs: Falagara Sigala, I., Sirenko, M., Comes, T. and Kovács, G.
Publié dans: International Journal of Operations & Production Management, 2022, ISSN 0144-3577
Éditeur: Emerald Group Publishing Ltd.
DOI: 10.1108/ijopm-09-2021-0608

Bridging values: Finding a balance between privacy and control. The case of Corona apps in Belgium and the Netherlands

Auteurs: Brakel, R., Kudina, O., Fonio, C., &Boersma, K.
Publié dans: Journal of Contingencies and Crisis Management, 2022, ISSN 1468-5973
Éditeur: John Wiley & Sons, Ltd
DOI: 10.1111/1468-5973.12395

Lessons learned from humanitarian logistics to manage supply chain disruptions

Auteurs: Gyöngyi Kovács, Ioanna Falagara Sigala
Publié dans: Journal of Supply Chain Management, Numéro 57/1, 2021, Page(s) 41-49, ISSN 1523-2409
Éditeur: National Association of Purchasing Management
DOI: 10.1111/jscm.12253

COVID-19 Vaccination Intent and Belief that Vaccination Will End the Pandemic

Auteurs: de Vries M, Claassen L, Lambooij M, Leung KY, Boersma K, Timen A.
Publié dans: Emerging Infectious Diseases, 2022, ISSN 1080-6059
Éditeur: Centers for Disease Control and Prevention
DOI: 10.3201/eid2808.212556

Responding to the Vulnerabilities of Secondary School Students in Europe

Auteurs: C. Janssen; I. Kover; Y. Kyratsis; M. Kop; M. Boland; F.K. Boersma; A.L. Cremers
Publié dans: International Journal of Disaster Risk Reduction. Elsevier, Numéro 1, 2023, ISSN 2212-4209
Éditeur: Elsevier Limited
DOI: 10.1016/j.ijdrr.2023.103608

Covid-19: de ekonomiska konsekvenserna av en epidemi

Auteurs: Gyöngyi Kovács
Publié dans: Ekonomiska Samfundets Tidskrift, Numéro 1/2020, 2020, Page(s) 14-19, ISSN 0013-3183
Éditeur: Economic Society of Finland

Statistical model for factors correlating with COVID-19 deaths.

Auteurs: Mikko Nuutinen; Ira Haavisto; Antti J. Niemi; Antti Rissanen; Mikko Ikivuo; Riikka-Leena Leskelä
Publié dans: Crossref, Numéro 1, 2022, ISSN 2212-4209
Éditeur: Elsevier Limited
DOI: 10.1016/j.ijdrr.2022.103333

Demographics and topics impact on the co-spread of COVID-19 misinformation and fact-checks on Twitter

Auteurs: Grégoire Burel, Tracie Farrell, Harith Alani
Publié dans: Information Processing & Management, Numéro Volume 58, Numéro 6, 2021, ISSN 0306-4573
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.ipm.2021.102732

COVID-19-related trauma and the need for organizational healing in a Dutch nursing home

Auteurs: Anne Lia Cremers, Cato Janssen
Publié dans: Social Science & Medicine, 2023, ISSN 0277-9536
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.socscimed.2023.115799

Exploring the potential of local stakeholders’ involvement in crisis management. The living lab approach in a case study from Amsterdam.

Auteurs: Boersma, F.K., R. Berg, J. Rijbroek, P. Ardai, F. Azarhoosh, F. Forozesh, S. de Kort, A.J. van Scheepstal, J. Bos
Publié dans: International Journal of Disaster Risk Reduction, Numéro Volume 79, 2022, ISSN 2212-4209
Éditeur: Elsevier Limited
DOI: 10.1016/j.ijdrr.2022.103179

Are preparedness indices reflective of pandemic preparedness? A COVID-19 reality check

Auteurs: Hlekiwe Kachali, Ira Haavisto, Riikka-Leena Leskelä, Auri Väljä, Mikko Nuutinen,
Publié dans: International Journal of Disaster Risk Reduction, 2022, ISSN 2212-4209
Éditeur: Elsevier Limited
DOI: 10.1016/j.ijdrr.2022.103074

Interactive Visualization of Agent-Based Pandemic Simulation in Web Browser

Auteurs: Michal Mrozek, Mikhail Sirenko, Anna Foks-Ryznar, Bartosz Sawicki
Publié dans: Interactive Visualization of Agent-Based Pandemic Simulation in Web Browser, 2022, Page(s) 1-4
Éditeur: IEEE
DOI: 10.1109/cpee56060.2022.9919642

EMT Response in COVID-19 Pandemic: Best Practices from Deployment of UK-MED and PCPM’s EMTs

Auteurs: Ramnath Vadi, Wojtek Wilk
Publié dans: Prehospital and Disaster Medicine. Volume 37 , Supplement S2: Abstracts of World Health Organization Emergency Medical Teams Global Meeting 2022, 2022
Éditeur: Cambridge University Press
DOI: 10.1017/s1049023x22001510

Computational tools and analysis of our interactions with false and corrective information

Auteurs: Harith Alani
Publié dans: Crossref, Numéro 1, 2022, ISBN 9781450391306
Éditeur: Association for Computing Machinery
DOI: 10.1145/3487553.3526944

Restoring the medical supply chain from below. The role of social entrepreneurship in the production of Face Masks during the COVID-19 crisis.

Auteurs: Boersma, F.K. and R. Larruina
Publié dans: 2021
Éditeur: Proceedings of the 18th ISCRAM Conference

Recommender Systems and Misinformation: The Problem or the Solution?

Auteurs: Fernandez, Miriam; Bellogin, Alejandro
Publié dans: OHARS Workshop. 14th ACM Conference on Recommender Systems, Numéro 1, 2020
Éditeur: Association for Computing Machinery

Co-Spread of Misinformation and Fact-Checking Content during the Covid-19 Pandemic

Auteurs: Grégoire Burel, Tracie Farrell, Prashant Khare and Harith Alani
Publié dans: "Proceedings of the&nbsp; 12th International Conference on Social Informatics (SocInfo)&nbsp; <a href=""""></a>", 2020
Éditeur: Springer

Swedish COVID-19 first wave response in European context

Auteurs: Haavisto, I., Uimonen, T., Karvinen, S., Kachali, H., & Leskelä, R. L.
Publié dans: Community, Economy and COVID-19: Lessons from Multi-Country Analyses of a Global Pandemic, 2022, ISSN 2520-1093
Éditeur: Springer Cham
DOI: 10.1007/978-3-030-98152-5

Pandemic response and humanitarian logistics

Auteurs: Kovács, Gyöngyi; Comes, Tina and Falagara Sigala, Ioanna
Publié dans: Humanitarian Logistics: Meeting the Challenge of Preparing for and Responding to Disasters and Complex Emergencies, 4th eDITION, 2022, Page(s) 247-264
Éditeur: Kogan Page

A Contested Intelligent Approach. Crisis management and societal response to the COVID-19 pandemic in The Netherlands

Auteurs: Kees Boersma, Yiannis Kyratsis, Jeroen Wolbers
Publié dans: Crisis Leadership and Public Governance during the Covid-19 Pandemic: International Comparisons, 2022, Page(s) 265-289
Éditeur: World Scientific Publishing Co. Pte. Ltd.

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