
In December 2024, Mate Strysewske developed multilingual validation messaging for AEFI reports within the SORMAS-Foundation/SORMAS-Project repository, focusing on improving data completeness and accuracy in pharmacovigilance reporting. He implemented internationalization and localization updates using Crowdin, working primarily with properties files to ensure prompts for required fields—such as suspect vaccines and adverse events—were available across multiple languages. The work addressed the needs of a diverse user base by enhancing translation coverage and aligning validation logic with multilingual requirements. While the scope was limited to one feature, the changes contributed depth by strengthening both data quality and user experience in AEFI reporting.

In December 2024, delivered multilingual AEFI report validation messaging within SORMAS-Project, introducing prompts to capture essential fields (suspect vaccines, primary suspect vaccine, and adverse events) to improve data completeness and accuracy in AEFI reporting. Implemented localization updates via Crowdin (#13173) to support multilingual users across the platform and align translations. No major bugs closed this month; focus was on delivering robust validation and localization enhancements. These changes strengthen pharmacovigilance data quality and user experience in multilingual environments.
In December 2024, delivered multilingual AEFI report validation messaging within SORMAS-Project, introducing prompts to capture essential fields (suspect vaccines, primary suspect vaccine, and adverse events) to improve data completeness and accuracy in AEFI reporting. Implemented localization updates via Crowdin (#13173) to support multilingual users across the platform and align translations. No major bugs closed this month; focus was on delivering robust validation and localization enhancements. These changes strengthen pharmacovigilance data quality and user experience in multilingual environments.
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