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Vaxafe: Vaccine Safety Query and Analysis

Vaxafe is a vaccine safety database aimed to provide vaccine safety related information and support vaccine safety research.

Vaxafe currently stores the VAERS vaccine adverse event (VAE) case report data, and provide different query and statistical data analysis features. Our statistical data analysis follows the protocol defined in the previous study (Sarntivijai et al, 2012).

Three VAERS-specific VAE data query and analysis programs have been developed:

  1. VAE case query: The query input is the VAERS case report ID, and the query output is the detailed information of the de-identified individual VAE case.
  2. Conditional query: This program allows conditional query of VAEs based on different filitering criteria, such as vaccine name, age, gender, state, and vaccination date.
  3. Statistical analysis: This program allows the users to dynamically run statistical analysis of specific vaccine adverse events using our analysis pipeline.
We also plan to add other vaccine safety related contents, such as vaccine safety information reported from the literature and governments, in the near future. Please let us know if you have any comments and suggestions. Thank you.


Requirement: It is required for you to read and agree on the following Disclaimer before you proceed with any of the above programs.

DISCLAIMER: Before using this website, please ensure that you have read, understand, and agree on the VAERS disclaimer shown at: https://vaers.hhs.gov/data.html. As described in the indicated CDC/FDA VAERS Disclaimer, the VAERS data largely came from voluntary reporting. It has the advantage of nation-wide reporting and can provide some early warning of potential safety issue(s) with a vaccine. However, the VAERS "Reports may include incomplete, inaccurate, coincidental and unverified information". In addition, the VAERS data alone cannot be used to determine the causality of the identified vaccine adverse event. Instead of being causal, it only shows statistical association based on our statistical data analysis pipeline.