
Worked on the SORMAS-Foundation/SORMAS-Project repository to deliver multilingual validation messaging for AEFI report submissions, focusing on improving data completeness and accuracy in pharmacovigilance workflows. Implemented internationalization and localization enhancements using properties files and Crowdin, ensuring that prompts for required fields such as suspect vaccines, primary suspect vaccine, and adverse events are available across multiple languages. The approach centered on updating validation logic and translation assets to support a diverse user base, aligning translations and enhancing the overall user experience. No bugs were addressed during this period, with efforts concentrated on robust feature delivery and language coverage improvements.
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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