Epidemic Intelligence from Open Sources (EIOS): The FIFA World Cup Qatar 2022TM Experience
<h3>Background</h3><p dir="ltr">The World Health Organization (WHO) supported the enhancement of Event?Based Surveillance through employment of Epidemic Intelligence from Open Sources (EIOS) to detect public health threats and diseases with potential for importation and s...
محفوظ في:
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| مؤلفون آخرون: | , , , , , , |
| منشور في: |
2024
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إضافة وسم
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| _version_ | 1864513514091053056 |
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| author | Mohammed Sallam (18472354) |
| author2 | Raihana Jabbar (18067640) Aura Corpuz (17014628) Mahmoud Sadek (18471557) Muzhgan Habibi (18471548) Farida Abougazia (18472357) Maha Al Shamali (18067637) Hamad Eid Al Romaihi (18472359) |
| author2_role | author author author author author author author |
| author_facet | Mohammed Sallam (18472354) Raihana Jabbar (18067640) Aura Corpuz (17014628) Mahmoud Sadek (18471557) Muzhgan Habibi (18471548) Farida Abougazia (18472357) Maha Al Shamali (18067637) Hamad Eid Al Romaihi (18472359) |
| author_role | author |
| dc.creator.none.fl_str_mv | Mohammed Sallam (18472354) Raihana Jabbar (18067640) Aura Corpuz (17014628) Mahmoud Sadek (18471557) Muzhgan Habibi (18471548) Farida Abougazia (18472357) Maha Al Shamali (18067637) Hamad Eid Al Romaihi (18472359) |
| dc.date.none.fl_str_mv | 2024-05-26T10:28:11Z |
| dc.identifier.none.fl_str_mv | 10.57945/manara.25709313.v1 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/conference_contribution/Epidemic_Intelligence_from_Open_Sources_EIOS_The_FIFA_World_Cup_Qatar_2022TM_Experience/25709313 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Cardiovascular medicine and haematology Clinical sciences Health sciences Epidemiology Public health FIFA World Cup Qatar 2022TM Event-Based Surveillance Epidemic Intelligence from Open Sources (EIOS) Public Health Intelligence Early Warning Qatar Health Congress 2023 and the 3rd Qatar Public Health Conference |
| dc.title.none.fl_str_mv | Epidemic Intelligence from Open Sources (EIOS): The FIFA World Cup Qatar 2022TM Experience |
| dc.type.none.fl_str_mv | Text Conference contribution info:eu-repo/semantics/publishedVersion text conference object |
| description | <h3>Background</h3><p dir="ltr">The World Health Organization (WHO) supported the enhancement of Event?Based Surveillance through employment of Epidemic Intelligence from Open Sources (EIOS) to detect public health threats and diseases with potential for importation and spread which could impact the FIFA World Cup Qatar 2022<sup>TM</sup> (FWC22) tournament (1–3). The initiative was implemented by the surveillance team at the Ministry of Public Health (MOPH), Qatar. We aim to highlight the use of EIOS in public health monitoring, threat detection, resource allocation, and emergency response through a review of its operations. </p><h3>Methods</h3><p dir="ltr">All open-source articles — available on public health intelligence networks as well as the press — that appeared on the EIOS FWC22 dashboard were screened and triaged using well-defined criteria (Table 1) developed to capture possible public health hazards in Qatar or in relation to the mass gatherings. The result of triaging determined whether the “signal” was discarded, monitored, or considered for an immediate risk assessment. Data capture was done for triaged signals. The signals that were deemed high-risk were sent to the national coordination unit for prompt management.</p><h3>Results</h3><p dir="ltr">EIOS helped implement preventive measures, generate data for post-event evaluation, and improve international collaboration. Around 300,000 articles were screened by the EIOS over 46 days (8 November – 25 December 2022) of which 0.6% were considered signals eligible for triage. Out of these, 0.3% underwent a risk assessment where 9 signals were deemed high-risk and 3 signals were events that required response from the national coordination unit (Table 2). These reports included mostly rumours about the MERS-CoV and were managed as infodemics.</p><h3>Conclusion</h3><p dir="ltr">EIOS served as a useful tool in identifying public health threats and contributed immensely to the Early Warning and Alert Response System (EWARS) to minimize potential impacts on the tournament. Automation could improve consistency while reducing human efforts and errors.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_9f2be8d96ea4b87c53ee1e50b8e524c1 |
| identifier_str_mv | 10.57945/manara.25709313.v1 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25709313 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Epidemic Intelligence from Open Sources (EIOS): The FIFA World Cup Qatar 2022TM ExperienceMohammed Sallam (18472354)Raihana Jabbar (18067640)Aura Corpuz (17014628)Mahmoud Sadek (18471557)Muzhgan Habibi (18471548)Farida Abougazia (18472357)Maha Al Shamali (18067637)Hamad Eid Al Romaihi (18472359)Biomedical and clinical sciencesCardiovascular medicine and haematologyClinical sciencesHealth sciencesEpidemiologyPublic healthFIFA World Cup Qatar 2022TMEvent-Based SurveillanceEpidemic Intelligence from Open Sources (EIOS)Public Health IntelligenceEarly WarningQatar Health Congress 2023 and the 3rd Qatar Public Health Conference<h3>Background</h3><p dir="ltr">The World Health Organization (WHO) supported the enhancement of Event?Based Surveillance through employment of Epidemic Intelligence from Open Sources (EIOS) to detect public health threats and diseases with potential for importation and spread which could impact the FIFA World Cup Qatar 2022<sup>TM</sup> (FWC22) tournament (1–3). The initiative was implemented by the surveillance team at the Ministry of Public Health (MOPH), Qatar. We aim to highlight the use of EIOS in public health monitoring, threat detection, resource allocation, and emergency response through a review of its operations. </p><h3>Methods</h3><p dir="ltr">All open-source articles — available on public health intelligence networks as well as the press — that appeared on the EIOS FWC22 dashboard were screened and triaged using well-defined criteria (Table 1) developed to capture possible public health hazards in Qatar or in relation to the mass gatherings. The result of triaging determined whether the “signal” was discarded, monitored, or considered for an immediate risk assessment. Data capture was done for triaged signals. The signals that were deemed high-risk were sent to the national coordination unit for prompt management.</p><h3>Results</h3><p dir="ltr">EIOS helped implement preventive measures, generate data for post-event evaluation, and improve international collaboration. Around 300,000 articles were screened by the EIOS over 46 days (8 November – 25 December 2022) of which 0.6% were considered signals eligible for triage. Out of these, 0.3% underwent a risk assessment where 9 signals were deemed high-risk and 3 signals were events that required response from the national coordination unit (Table 2). These reports included mostly rumours about the MERS-CoV and were managed as infodemics.</p><h3>Conclusion</h3><p dir="ltr">EIOS served as a useful tool in identifying public health threats and contributed immensely to the Early Warning and Alert Response System (EWARS) to minimize potential impacts on the tournament. Automation could improve consistency while reducing human efforts and errors.</p>2024-05-26T10:28:11ZTextConference contributioninfo:eu-repo/semantics/publishedVersiontextconference object10.57945/manara.25709313.v1https://figshare.com/articles/conference_contribution/Epidemic_Intelligence_from_Open_Sources_EIOS_The_FIFA_World_Cup_Qatar_2022TM_Experience/25709313CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/257093132024-05-26T10:28:11Z |
| spellingShingle | Epidemic Intelligence from Open Sources (EIOS): The FIFA World Cup Qatar 2022TM Experience Mohammed Sallam (18472354) Biomedical and clinical sciences Cardiovascular medicine and haematology Clinical sciences Health sciences Epidemiology Public health FIFA World Cup Qatar 2022TM Event-Based Surveillance Epidemic Intelligence from Open Sources (EIOS) Public Health Intelligence Early Warning Qatar Health Congress 2023 and the 3rd Qatar Public Health Conference |
| status_str | publishedVersion |
| title | Epidemic Intelligence from Open Sources (EIOS): The FIFA World Cup Qatar 2022TM Experience |
| title_full | Epidemic Intelligence from Open Sources (EIOS): The FIFA World Cup Qatar 2022TM Experience |
| title_fullStr | Epidemic Intelligence from Open Sources (EIOS): The FIFA World Cup Qatar 2022TM Experience |
| title_full_unstemmed | Epidemic Intelligence from Open Sources (EIOS): The FIFA World Cup Qatar 2022TM Experience |
| title_short | Epidemic Intelligence from Open Sources (EIOS): The FIFA World Cup Qatar 2022TM Experience |
| title_sort | Epidemic Intelligence from Open Sources (EIOS): The FIFA World Cup Qatar 2022TM Experience |
| topic | Biomedical and clinical sciences Cardiovascular medicine and haematology Clinical sciences Health sciences Epidemiology Public health FIFA World Cup Qatar 2022TM Event-Based Surveillance Epidemic Intelligence from Open Sources (EIOS) Public Health Intelligence Early Warning Qatar Health Congress 2023 and the 3rd Qatar Public Health Conference |