Organisation: The Seoul Shinmun (South Korea)
Publication Date: 04/06/2017
Size of team/newsroom:small
DescriptionThe current status of 3,939,884 of Korean patients struggling with depression in 2015 was visualized using the open data set concerning the total patients of Korean Health Insurance Review Agency. The statistical information including the ratio of melancholiacs out of total patients, sex, and age group was visualized with the number of patients expressed as bubbles. It consisted of four chapters, each comprising demographic statistics of patient’s sex/age, the cost of treatment for depression, methods of treatment for depression, and self diagnostic report for depression. The user can experience storytelling for each chapter by scrolling and can receive an interactive personalized report at the last chapter when s/he puts in his/her information.
What makes this project innovative? What was its impact?Even though depression is a very crucial problem of the social community in South Korea, it is still considered to be just a personal matter or something that one should hide in Korean society. Depression is a social problem, distinctly increasing all around the world;in fact for the past 4 years, the rate has increased not only among ‘young adults’ in the age group of 20~24, but also in the ‘Elderly in the late years’ of 75+, and ‘men’, and ‘women’ in the age group of 55~59 in Korea. However, Korean society has yet to take the tracking process of treatment for depression such as conducting a basic investigation on melancholiacs, the treatment process of depression after the initial diagnosis, and the duration of the treatment, seriously. This project organized the current status of melancholiacs in South Korea by the recommended screening record of 492,232,993 cases from Health Insurance Review Agency, which is a public institution of Korean health insurance. The visualization project was performed to be able to track melancholiac’s treatment and consultation process including the fluctuation of the number of patients according to their sex/age, treatment cost, accompanying illnesses, treatment method, and antidepressant prescription status. Moreover, it allows the user to experience depression indirectly by forming an interactive personalized report featuring the likelihood of an individual to develop depression when the user puts in information such as his/her age/job/income by gathering the fragmented open data about depression
Technologies used for this project:HTML, CSS, Java Script (D3 library)
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