Pathways to strengthening the epidemic intelligence workforce
Abstract The evolving landscape of public health surveillance demands a proficient and diverse workforce adept in data science and analysis. This report summarises discussions from the third session of the WHO Pandemic and Epidemic Intelligence Innovation Forum, focusing on workforce readiness and t...
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| Format: | Article |
| Language: | English |
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BMC
2025-02-01
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| Series: | BMC Proceedings |
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| Online Access: | https://doi.org/10.1186/s12919-025-00318-4 |
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| author | Barbara Tornimbene Zoila Beatriz Leiva Rioja Olaolu Aderinola Zulma M. Cucunubá Catalina González-Uribe Danil Mihailov Steven Riley Sang-woo Tak Oliver Morgan |
| author_facet | Barbara Tornimbene Zoila Beatriz Leiva Rioja Olaolu Aderinola Zulma M. Cucunubá Catalina González-Uribe Danil Mihailov Steven Riley Sang-woo Tak Oliver Morgan |
| author_sort | Barbara Tornimbene |
| collection | DOAJ |
| description | Abstract The evolving landscape of public health surveillance demands a proficient and diverse workforce adept in data science and analysis. This report summarises discussions from the third session of the WHO Pandemic and Epidemic Intelligence Innovation Forum, focusing on workforce readiness and technological advancements in epidemic intelligence. The forum emphasizes the necessity of multidisciplinary surveillance teams equipped with advanced data skills. Digital tools play a transformative role in data collection and analysis, enabling real-time tracking, integration, and interpretation of diverse data sources. However, effective surveillance relies on inclusive representation and skill development. Collaborative surveillance and interdisciplinary training programs were emphasized as critical pathways to enhance workforce capacity, decision-making, and equity in public health. Case studies from Nigeria, Korea, the UK, and Colombia showcase the role of digital tools and contextual expertise in addressing surveillance gaps. Sustained institutional support, cross-sector partnerships, and investments in data literacy and workforce development are pivotal for creating resilient and inclusive public health systems. |
| format | Article |
| id | doaj-art-76f892fde14c4fe7a81b59445a169129 |
| institution | OA Journals |
| issn | 1753-6561 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Proceedings |
| spelling | doaj-art-76f892fde14c4fe7a81b59445a1691292025-08-20T02:27:50ZengBMCBMC Proceedings1753-65612025-02-0119S41810.1186/s12919-025-00318-4Pathways to strengthening the epidemic intelligence workforceBarbara Tornimbene0Zoila Beatriz Leiva Rioja1Olaolu Aderinola2Zulma M. Cucunubá3Catalina González-Uribe4Danil Mihailov5Steven Riley6Sang-woo Tak7Oliver Morgan8World Health Organization Hub for Pandemic and Epidemic IntelligenceCPC AnalyticsNigeria Centre for Disease Control (NCDC)Pontificia Universidad JavieranaSchool of Medicine and Centre of Sustainable Development Goals for Latin America and the Caribbean, Universidad de los AndesData.OrgUK Health Security Agency (UKHSA)Korea Disease Control and Prevention Agency (KDCA)World Health Organization Hub for Pandemic and Epidemic IntelligenceAbstract The evolving landscape of public health surveillance demands a proficient and diverse workforce adept in data science and analysis. This report summarises discussions from the third session of the WHO Pandemic and Epidemic Intelligence Innovation Forum, focusing on workforce readiness and technological advancements in epidemic intelligence. The forum emphasizes the necessity of multidisciplinary surveillance teams equipped with advanced data skills. Digital tools play a transformative role in data collection and analysis, enabling real-time tracking, integration, and interpretation of diverse data sources. However, effective surveillance relies on inclusive representation and skill development. Collaborative surveillance and interdisciplinary training programs were emphasized as critical pathways to enhance workforce capacity, decision-making, and equity in public health. Case studies from Nigeria, Korea, the UK, and Colombia showcase the role of digital tools and contextual expertise in addressing surveillance gaps. Sustained institutional support, cross-sector partnerships, and investments in data literacy and workforce development are pivotal for creating resilient and inclusive public health systems.https://doi.org/10.1186/s12919-025-00318-4Epidemic intelligencePublic health surveillanceData science capacityCollaborative governanceWorkforce development |
| spellingShingle | Barbara Tornimbene Zoila Beatriz Leiva Rioja Olaolu Aderinola Zulma M. Cucunubá Catalina González-Uribe Danil Mihailov Steven Riley Sang-woo Tak Oliver Morgan Pathways to strengthening the epidemic intelligence workforce BMC Proceedings Epidemic intelligence Public health surveillance Data science capacity Collaborative governance Workforce development |
| title | Pathways to strengthening the epidemic intelligence workforce |
| title_full | Pathways to strengthening the epidemic intelligence workforce |
| title_fullStr | Pathways to strengthening the epidemic intelligence workforce |
| title_full_unstemmed | Pathways to strengthening the epidemic intelligence workforce |
| title_short | Pathways to strengthening the epidemic intelligence workforce |
| title_sort | pathways to strengthening the epidemic intelligence workforce |
| topic | Epidemic intelligence Public health surveillance Data science capacity Collaborative governance Workforce development |
| url | https://doi.org/10.1186/s12919-025-00318-4 |
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