The Design and development of a suicide monitoring system for public health volunteers

Abstract

Nowadays, mental health issues are something that used to be overlooked and seemingly distant. But in fact, it is something that has been close to and has been around in Thai society for a long time. For example, the past covid-19 outbreak caused people to have such conditions higher, causing the consequences that could not be sustained either; for examples, stressful conditions causing a difficulty in living a normal life, burnouts from overwork.  Theses cause growing number of depressed patients that could potentially end up in suicides. The government has offered measures that allow public health volunteers to do surveys on people at risk in various areas to collect information for surveillance purposes. However, the surveys were performed by taking notes on papers and handed them to experts for further analysis later. This method of data collection results in mismatch information from what it should be gathered and collected for analysis because of the complexity of the data collection sequence according to the 506S version 10 report standard (รง 506s). Not only data collected can be incomplete, but also there can be duplicate data resulting in statistical data inaccuracy. This makes it very necessary to change from collecting data manually using paper documents to collecting data through a mobile application platform that stores data within a designed storage system to make the whole process more efficient.  This research proposes a design and development of a suicide monitoring system for public health volunteers. The design of this platform is developed with Golang, a language for writing RESTFUL API for backends, and Flutter for frontends, MongoDB, a no-SQL database, as the storage database. The sensitive data is transferred between platforms uses JSON Web Tokens (JWTs) which defines a compact and self-contained way for securely transmitting information between parties as a JSON object. The platform is deployed on Kubernetes engine on Google Cloud Platform for supporting the effective scalability of the platform usages for the public health volunteers all over the country.