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Python code used to generate the results of Model validation framework for epidemiological models with application to COVID-19 models by K. Dautel, E. Agyingi and P. Pathmanathan Tool Reference RST Reference Number: RST24DP01.01 Date of Publication: 04/18/2024 Recommended Citation: U.S. Food and Drug Administration. (2024). Validation Framework for Epidemiological Models (RST24DP01.01).https://cdrh-rst.fda.gov/validation-framework-epidemiological-models About the Catalog of Regulatory Science Tools The enclosed tool is part of the Catalog of Regulatory Science Tools, which provides a peer- reviewed resource for stakeholders to use where standards and qualified Medical Device Development Tools (MDDTs) do not yet exist. These tools do not replace FDA-recognized standards or MDDTs. This catalog collates a variety of regulatory science tools that the FDA's Center for Devices and Radiological Health's (CDRH) Office of Science and Engineering Labs (OSEL) developed. These tools use the most innovative science to support medical device development and patient access to safe and effective medical devices. If you are considering using a tool from this catalog in your marketing submissions, note that these tools have not been qualified as Medical Device Development Tools and the FDA has not evaluated the suitability of these tools within any specific context of use. You may request feedback or meetings for medical device submissions as part of the Q-Submission Program. For more information about the Catalog of Regulatory Science Tools, email OSEL_CDRH@fda.hhs.gov.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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