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MIDIDP SIGNED

Modeling Infectious Diseases in Dynamic Populations with Relocation and Refugeeism

Total Cost €

0

EC-Contrib. €

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Partnership

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Project "MIDIDP" data sheet

The following table provides information about the project.

Coordinator
ISTANBUL MEDENIYET UNIVERSITY 

Organization address
address: DUMLUPINAR MAHALLESI, D-100 KARAYOLU NO 98
city: KADIKOY ISTANBUL
postcode: 34000
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Turkey [TR]
 Total cost 157˙845 €
 EC max contribution 157˙845 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-RI
 Starting year 2018
 Duration (year-month-day) from 2018-04-01   to  2020-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ISTANBUL MEDENIYET UNIVERSITY TR (KADIKOY ISTANBUL) coordinator 157˙845.00

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 Project objective

The main purpose of this project is to create a realistic agent-based model to simulate the spread of infectious diseases such as measles, influenza, etc. in European and neighboring countries with their possibly under-vaccinated refugee populations. The model will be built upon two large-scale modeling platforms Framework for Reconstructing Epidemic Dynamics (FRED) and the Global Epidemic and Mobility Model (GLEAM). First we will create and curate realistic synthetic populations including residents and refugees by using various data sources such as Integrated Public-Use Microdata (IPUMS), Synthetic Populations and Ecosystems of the World (SPEW) for resident populations and World Health Organization, nongovernmental organizations, and country governments for refugees and relocated populations. Our model, with its forecasting capability of outbreaks, will help policy makers to mitigate outbreaks by assessing possible intervention mechanisms such as better handling refugees, vaccinations, school/workplace closures, antivirals, and social distancing methods. This project with its planned training program will help the researcher to transfer his knowledge in network modeling and analysis into a new field of large-scale agent-based modeling and simulation in a new institution in Turkey where there is a great need for these methods in public health.

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The information about "MIDIDP" are provided by the European Opendata Portal: CORDIS opendata.

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