Analysis of data from social networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APR25266" target="_blank" >RIV/00216305:26230/10:PR25266 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of data from social networks

Popis výsledku v původním jazyce

Public health officials are faced with new challenges for outbreak alert and response due to the continuous emergence of infectious diseases and their contributing factors such as demographic change, or globalization. Only the early detection of diseaseactivity, followed by a rapid response, can reduce the impact of epidemics. Conflictingly, the time with which information propagates through the traditional channels, can undermine time-sensitive strategies. Faced with these limitations, the M-Eco project will help to complement traditional systems with additional approaches for the early detection of emerging threats. Technologies related to the development of the Medicine 2.0, are rapidly changing the possibilities to assess and provide health information. These days, online media, weblogs, scientific and non-scientific discussion forums and direct electronic communication provide complements to the traditional reporting mechanisms. Importantly, the publication barrier for these type

Název v anglickém jazyce

Analysis of data from social networks

Popis výsledku anglicky

Public health officials are faced with new challenges for outbreak alert and response due to the continuous emergence of infectious diseases and their contributing factors such as demographic change, or globalization. Only the early detection of diseaseactivity, followed by a rapid response, can reduce the impact of epidemics. Conflictingly, the time with which information propagates through the traditional channels, can undermine time-sensitive strategies. Faced with these limitations, the M-Eco project will help to complement traditional systems with additional approaches for the early detection of emerging threats. Technologies related to the development of the Medicine 2.0, are rapidly changing the possibilities to assess and provide health information. These days, online media, weblogs, scientific and non-scientific discussion forums and direct electronic communication provide complements to the traditional reporting mechanisms. Importantly, the publication barrier for these type

Druh

R - Software

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/7E10054" target="_blank" >7E10054: Medical EcoSystem-Personalized Event-Based Suveillance</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Interní identifikační kód produktu

ADFSN

Technické parametry

Pro podrobnosti licenčních podmínek konzultujte: Ing. Vladimír Pavelka, Útvar transferu technologií VUT v Brně, Božetěchova 2, 612 66 Brno, 541 141 499

Ekonomické parametry

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IČO vlastníka výsledku

00216305

Název vlastníka

Vysoké učení technické v Brně