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Essential critical infrastructure workers and sectors (from https://www.cisa.gov/identifying-critical-infrastructure-during-covid-19)

US Guidance on the Essential Critical Infrastructure Workforce during COVID-19

Guidance for identifying the critical infrastructure sectors and the essential workers needed to maintain the critical services and functions during the COVID-19 pandemic response
Container Based mobile laboratory

European Mobile Laboratory Inventory Database

European Mobile Laboratory Inventory Database
facs UI

FACS - Flu And Coronavirus Simulator

Agent based modelling tool to simulate spread of flu and coronavirus in a local region
DMHT Architecture

Data Management & Harmonization Tool (DMHT)

DMHT is a technological platform for aggregating heterogeneous, mostly curated, and structured anonymized historical health and other relevant data sets and their annotations from health stakeholders, as well as open data sets.
WSMA pipeline

Web and Social Media Analytics (WSMA)

Tool for crawling, monitoring and processing of web and social media content and users activity
Sign-in page

Preparedness Pandemic Training tool (PPT)

This is a scenario builder tool, in which a trainer is able to create simple or complex training scenarios and execute them in order to perform exercises
AIR Worldwide

AIR's Life and Health Models

AIR models help to anticipate the drivers of mortality and morbidity risk to facilitate optimal risk management, risk transfer, and risk mitigation decisions that align with organisation's strategic goals.
Smart Wearable Sensor Device - SmarKo

SmarKo Wearable Monitoring Tool

SmarKo, a smart wearble sensor device, that enables remote real time monitoring of health, environmental and physical activity data as well as geolocation and can transmit the measurement data to a mobile app.
EWS main components

ML-Based Early Warning System

ML-Based Early Warning System is responsible to provide the necessary notifications (warnings and/or alerts) to the end users in case of potential outbreaks taking into consideration certain rules and patterns based on Machine Learning models. Support users in order to identify needs on material resources, while assist authorities to monitor and validate the effectiveness of policies and measures that are applied.
mHero

mHero

a two-way, mobile phone-based communication system that uses basic text messaging, or SMS, to connect ministries of health and health workers. mHero operates on simple talk-and-text mobile devices—no smartphone or tablet required.
PALMS GUI

Physical Activity Lifelong Modelling & Simulation (PALMS) model

The Physical Activity Lifelong Modelling & Simulation (PALMS) model is an agent-based micro-simulation that predicts the lifelong physical activity behaviour of individuals of a population and its effect on their quality of life.
Portable PCR device for on site detection of pathogens

ESBL detect

Portable PCR device for on site detection of bacteria
CHARM model

CHARM dynamiC Hospital wARd Management

dynamiC Hospital wARd Management (CHARM) is a discrete-event simulation (DES) that models dynamic reconfiguration of hospital wards for bed capacity planning facilitating continuation of normal Intensive Care Unit (ICU) operations during disease outbreaks.
AIR models architecture (both Single Task Learning and Multi-Task Learning)

Antimicrobial Resistance Model (AIR)

AIR is a Deep Neural Network (DNN) model used for predicting the excess mortality due to antimicrobial resistance. Additionally, it incorporates patient’s contextual epidemiological and infectious information.
WN cycle

BIMS_WN West Nile epidemics model. 

The BIMS_WN model is a muti-agent model whose goal is to predict the occurrence of a WN epidemic using climate and bird migration and movement data.
Flee logo

Flee - Predictive Modelling Tool

Flee is an agent-based modelling code used to model (forced) migration and other movements across country borders.
Illustration of the HybridDetect DipStick result obtained for SARS-CoV-2. In a negative sample only the control line is visual. In a positive sample both the control and specifically the test line will become visible. A positive sample can thus result in a Dipstick result that shows 2 lines (control and test line, see illustration) or one line (only the test line).

SARS-Cov-2 and Escherichia coli (E. coli) ESBL detection with SHERLOCK/DETECTR

Rapid detection of SARS-Cov-2 and E. coli (ESBL) via the utilisation of a portable SHERLOCK/DETECTR approach.
Array of components of DMF

Influenza A (H1N1) on-site detection (POCT)

On-site detection of Influenza A (H1N1) with a portable qPCR device (POC)
Pebble qcLAMP Device

Real-time detection of Measles, West Nile Virus and SARS-Cov-2

Genetic markers allowing real time point-of-service detection of Measles, West Nile Virus and SARS-Cov-2 via the utilization of a portable qcLAMP device
Medical Assessment

E-PHR

The aim of the electronic Personal Health Record (e-PHR) and its platform is to enhance knowledge amongst stakeholders about refugees’ and migrants’ health needs
eu Portfolio of Solutions web site has been initially developed in the scope of DRIVER+ project. Today, the service is managed by AIT Austrian Institute of Technology GmbH., for the benefit of the European Management. PoS is endorsed and supported by the Disaster Competence Network Austria (DCNA) as well as by the STAMINA and TeamAware H2020 projects.