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Container Based mobile laboratory

European Mobile Laboratory Inventory Database

European Mobile Laboratory Inventory Database
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.
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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.
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.
Portable PCR device for on site detection of pathogens

ESBL detect

Portable PCR device for on site detection of bacteria
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.
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
Mediscout

MediScout

Enable collaborative interventions to be planned, implemented and monitored.
DataToCare

DataToCare

DataToCare connects your remote laboratories, provides you with relevant insights through graphics and reports, and manages your inventory and quality maintenance
Reporting wheel

Reporting Wheel

Encode disease reports to send over mobile phones
Zenesis Harmony

Harmony

Readily deployable virtual workspace where critical data can be used for immediate, lifesaving decisions in the COVID-19 response.
ScenarioExecution_INPRERScenarioBuildingTool

Scenario Building Tool

A dynamic tool regarding multiple hazard scenarios simulation for the training civil protection actors
GLEAMviz logo

Global Epidemic and Mobility simulator (GLEAM)

The Global Epidemic and Mobility simulator (GLEAM) is a realistic simulator of infectious disease spreading and pandemic outbreaks, based on a stochastic metapopulation model that uses real-world data about census and mobility.
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.