Enhanced event-based surveillance: Epidemic Intelligence from Open Sources (EIOS) during FIFA World Cup 2022 Qatar

BackgroundPublic health threats can significantly impact mass gatherings and enhancing surveillance systems would thus be crucial. Epidemic Intelligence from Open Sources (EIOS) was introduced to Qatar to complement the existing surveillance measures in preparation to the FIFA World Cup Qatar 2022 (...

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Bibliographic Details
Main Author:	Mohamed, Sallam (author)
Other Authors:	Jabbar, Raihana (author), Mahadoon, Lylu K. (author), Elshareif, Tasneem J. (author), Darweesh, Mariam (author), Ahmed, Hanaa S. (author), Mohamed, Douaa O.A. (author), Corpuz, Aura (author), Sadek, Mahmoud (author), Habibi, Muzhgan (author), Abougazia, Farida (author), Shami, Rula (author), Mahmoud, Montaha (author), Heikal, Sara (author), Aqel, Sarah (author), Himatt, Sayed (author), Al-Shamali, Maha (author), Al-Romaihi, Hamad (author)
Format:	article
Published:	2024
Subjects:	FIFA World Cup 2022 Qatar Epidemic Intelligence from Open Sources Digital disease surveillance Risk prediction
Online Access:	http://dx.doi.org/10.1016/j.jiph.2024.102514 https://www.sciencedirect.com/science/article/pii/S187603412400248X http://hdl.handle.net/10576/61511
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Enhanced event-based surveillance: Epidemic Intelligence from Open Sources (EIOS) during FIFA World Cup 2022 Qatar

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