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. 2024 Nov 28:10:e66479.
doi: 10.2196/66479.

Authors' Reply to: Strengthening the Backbone: Government-Academic Data Collaborations for Crisis Response

Affiliations

Authors' Reply to: Strengthening the Backbone: Government-Academic Data Collaborations for Crisis Response

Jian-Sin Lee et al. JMIR Public Health Surveill. .
No abstract available

Keywords: COVID-19; crisis response; cross-sector collaboration; data infrastructures; data science; data sharing; pandemic; public health informatics.

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Conflict of interest statement

Conflicts of Interest: None declared.

Comment on

  • doi: 10.2196/51880
  • doi: 10.2196/64726

References

    1. Lee JS, Tyler ARB, Veinot TC, Yakel E. Now Is the time to strengthen government-academic data infrastructures to jump-start future public health crisis response. JMIR Public Health Surveill. 2024 Apr 24;10:e51880. doi: 10.2196/51880. doi. Medline. - DOI - PMC - PubMed
    1. Yang R, Yang A. Strengthening the backbone: government-academic data collaborations for crisis response. JMIR Public Health Surveill. 2024:e64726. doi: 10.2196/64726. doi. - DOI - PMC - PubMed
    1. Floridi L. In: Group Privacy: New Challenges of Data Technologies. Taylor L, Floridi L, van der Sloot B, editors. Springer Cham; 2017. Group privacy: A defence and an interpretation; pp. 83–100. doi. ISBN.978-3-319-46606-4 - DOI
    1. Carroll SR, Garba I, Figueroa-Rodríguez OL, et al. The CARE Principles for indigenous data governance. Data Sci J. 2020 Nov 4;19:43. doi: 10.5334/dsj-2020-043. doi. - DOI
    1. CDC Newsroom. Centers for Disease Control and Prevention; [07-09-2024]. CDC announces $262M funding to support national network for outbreak response and disease modeling.https://www.cdc.gov/media/releases/2023/p0922-disease-modeling.html URL. Accessed.