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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
FACS - Flu And Coronavirus Simulator
Agent based modelling tool to simulate spread of flu and coronavirus in a local region
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.
Web and Social Media Analytics (WSMA)
Tool for crawling, monitoring and processing of web and social media content and users activity
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.
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
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.
ESBL detect
Portable PCR device for on site detection of bacteria
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.
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.
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.
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
COVID-19 Information and Symptom Checker chatbot
If people know the facts and check their symptoms, they can be guided on when it’s necessary to isolate themselves, visit health facilities, or continue to follow recommended practices to slow the spread of the disease.
InteleSafe
An app and website for health workers to learn how to stay safe while on the job.
CovidMonitoring
For employers and healthcare organizations to monitor employees, patients, and other individuals
GetWell Loop
Engage all patients across their care journey through automated virtual check-ins.
Covid-19 Symptom Tracker
This solution allows every one in the public to report their symptom anonymously on a map in realtime.
MediScout
Enable collaborative interventions to be planned, implemented and monitored.
DataToCare
DataToCare connects your remote laboratories, provides you with relevant insights through graphics and reports, and manages your inventory and quality maintenance
Veegilo
Veegilo allows you to report and visualize information about disease instances and deaths from multiple sources and compare the information over specific time periods and locations.
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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. |