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Author  |
Sterl, S.; Almalla, N.; Gerhold, L. |
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Title |
Conceptualizing a Pandemic Early Warning System Using Various Data: An Integrative Approach |
Type |
Conference Article |
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Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
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Pages |
284-294 |
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Keywords |
Pandemic Data Management; Epidemiological Situation Picture; Early Warning System; Data Fusion And Integration; Vulnerable Communities |
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Abstract |
Covid-19 demonstrated the vulnerability of various systems and showed, however, that digital tools and data can serve not only to stop infections but also to detect viruses before or immediately after a zoonosis has occurred, thus preventing a potential pandemic. Although several pandemic early warning systems (P-EWS) and German pandemic-related projects (G-PRP) exist, they often use a limited data range or rely on third-party data. Here, we present a concept of an integrative pandemic early warning system (IS-PAN) applied to Germany using various data such as health data (e.g., clinical/syndromic) or internet data (e.g., social media/apps). Based on a systematic literature research of P-EWS and G-PRP on scientific and public health platforms, we derived indicators that help to detect virus threats with a system consisting of modules monitored in parallel. By integrating various pre collected digital data, this approach can help to identify a potential health threat efficiently and effectively. |
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Address |
Technische Universitaet Braunschweig; Technische Univerisaet Berlin; Technische Universitaet Braunschweig |
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Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
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Language |
English |
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Original Title |
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Series Editor |
Hosssein Baharmand |
Series Title |
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Series Volume |
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Series Issue |
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Edition |
1 |
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Track |
Disaster Public Health and Healthcare Informatics |
Expedition |
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Conference |
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Notes |
http://dx.doi.org/10.59297/CGSK2926 |
Approved |
no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2526 |
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