Data transformation in the Infectious Disease Surveillance System for the Public Health Information Management

Abstract

This paper aims to solve the problem of large number of COVID-19 patients with paper form for COVID-19 investigation and to communicate between medical staffs and public health office center. We applied the agile model to design and develop data transformation in the infectious disease surveillance system to help a project to adapt to change requests quickly. This data transformations provide the public health emergency surveillance such as routine surveillance, COVID-19 surveillance, event-based surveillance and outbreak investigation. This approach can be useful to the Infectious disease situation. In additional, it can be provided greater contributions to manage public health data in term communicable diseases in the future.