Journal article
Global & Community Health: What Did the COVID-19 Pandemic Teach Us About Neurologic Surveillance Approaches, and How Should We Be Better Prepared?
- Abstract:
- It is well recognized that many pandemic viruses are associated with neurologic complications, most recently with COVID-19. After the outbreak of the COVID-19 pandemic, neurologic surveillance platforms were implemented to characterize the complications of COVID-19. Surveillance platforms are invaluable in providing timely data, informing clinical practice, and directing future research. Lessons learned from recent neurologic surveillance networks include the importance of global and cross-specialty collaboration. It is critical for future surveillance systems to consider these aspects, as it will also serve to improve representation of low and middle-income countries (LMICs) and communities. Trainees played a critical role in the success of neurologic surveillance networks; as frontline health care workers, they were able to provide timely data collection, and their fresh insights are important for future pandemic surveillance system development. In this article, we review the methods of recent neurologic surveillance networks and discuss their strengths and limitations. We explore the outlook for pandemic surveillance platforms and the crucial role global collaboration plays in ensuring that LMICs are represented. We review the role of trainees in pandemic surveillance networks and discuss how it is vital to encourage their continued involvement to ensure that, as future health care leaders, they are prepared to manage future pandemics effectively.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 262.2KB, Terms of use)
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- Publisher copy:
- 10.1212/wnl.0000000000214431
Authors
- Publisher:
- Lippincott, Williams & Wilkins
- Journal:
- Neurology More from this journal
- Volume:
- 105
- Issue:
- 12
- Pages:
- e214431
- Publication date:
- 2025-11-24
- Acceptance date:
- 2025-10-11
- DOI:
- EISSN:
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1526-632X
- ISSN:
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0028-3878
- Pmid:
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41284960
- Language:
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English
- Keywords:
- UUID:
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uuid_85e7a01f-6029-4d78-91bf-7d7aebcb3836
- Source identifiers:
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3525369
- Deposit date:
-
2025-12-02
- ARK identifier:
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Terms of use
- Copyright date:
- 2025
- Licence:
- CC Attribution (CC BY)
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