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H2020H2020-DSRDSR-4-2014
Overview of the PANDEM project
Máire Connolly, PANDEM coordinator
National University of Ireland Galway
This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 652868
Outline
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Current context
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What are the threats?
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Scope of PANDEM
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Outcome of PANDEM
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Influenza pandemics in 20th/21st Century
Spread of 1918 Influenza Pandemic
1918: “Spanish Flu”
1957: “Asian Flu”
40-50 million deaths
1-4 million deaths
H1N1
H2N2
1968: “Hong Kong Flu”
1-4 million deaths
H3N2
2009: H1N1 Pandemic
284,000 deaths
H1N1
Current context
• Decision 1082/2013/EU on Serious cross border threats to health
• European Court of Auditors – importance of protecting EU citizens from
pandemics and other serious cross border threats to health, 2016
• OECD’s Future Global Shocks - cascading risks that become active
threats as they spread across global systems – pandemic major threat
• WHO – new Health Emergencies programme
• World Bank working on financing pandemic preparedness
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What are the threats?
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Novel strain of known virus eg H1N1
influenza virus
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Newly identified species or strains eg
Zika, Ebola, SARS, Nipah…....
What are the threats?
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Poor biosafety leading to accidental
release from a laboratory
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Bioterrorism - deliberate release of a
biological agent e.g. anthrax
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Micro-organisms found to be resistant to
antimicrobial agents– MDR-TB, MRSA
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Source: Prediction and prevention of the next pandemic zoonosis
Prof Stephen S Morse et al Lancet; Volume 380, No. 9857, p1956–1965, 1 December 2012
PANDEM – Topic call DRS-04 – Specific challenge
• Pandemics pose a major health and security threat to EU citizens
• Improving capacity-building is key to fight epidemics and pandemics
• EU must increase its efforts to improve domestic and global risk assessment,
surveillance, communication capability and governance
• Reducing disease transmission through public education is also crucial
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The origins of PANDEM…..
• Initial work on H2020 call in December 2013
• At the same time, Ebola was emerging in West Africa
• Late detection and ineffective initial containment measures led to a full scale
global emergency
• Weaknesses in surveillance, communications and governance systems at
national, EU & global level
• Poorly coordinated international response lacked the tools and systems to
control the outbreak
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PANDEM
PANDemic risk and Emergency Management
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Horizon 2020: Secure Societies Work Programme
Phase I demo project
Multi-disciplinary collaboration of seven institutions
Project budget - €1.3M
Project duration - 18 months started Sept 2015
Project areas:
• Surveillance
• Communication
• Governance
Objectives of PANDEM project
• Review and assess current best practice for pandemic
preparedness and response in three core areas
• Identify major gaps/improvement needs and research
priorities
• Identify innovative solutions for improved technologies,
systems and capacity that would reduce health, security,
environmental and economic impact of future pandemics
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PANDEM work approach
WP1 - NUIG
Project Management & Co-ordination
WP6
WP2
FoHM
Threat analysis
Risk assessment
Surveillance
Best practice
User needs
Research priorities
WP3
WP4
IGS
LSHTM
Communication
Public
information
Governance
Legal
frameworks
Best practice
User needs
Research priorities
Best practice
User needs
Research priorities
WP5
NUIG
WHO
Integrated
solution
specification
Demonstration
concepts
Research and
training priorities
Tools/systems
improvement
needs
Integrated gap
analysis
Road Map for
Phase II
WP7 - NUIG
Awareness Raising & Dissemination
Methodology of PANDEM
• Large-scale pandemic of sudden onset
• Review of tools, systems and practices at Member States,
European Union and global level
• Review of previous EU research projects
• Key informant interviews
• Case studies: EU countries, USA and EU response to Ebola
outbreak
• Expert workshops in Brussels: February and September 2016
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PANDEM: SURVEILLANCE
Source: The Hidden Geometry of Complex, Network-Driven Contagion Phenomena
Dirk Brockmann, Dirk Helbing, Science 13 Dec 2013: Vol. 342, Issue 6164, pp. 1337-1342
• Disease spread analysed via the “effective distance” rather than geographical distance, two locations connected by airline flights are effectively close
• Applied to predict disease arrival times or disease source
PANDEM: Communications
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PANDEM: Diagnostics
THANK YOU!
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