Roadmap Pengembangan Early warning system for Dengue (EWS) DBD di Dinas kesehatan Kota Yogyakarta

Berdasarkan 2016 2019 jumlah, namun pada tahun 2020 mengalami kenaikan kasus. Dinas Kesehatan Kota Yogyakarta merancang sistem informasi Early Warning System for Dengue (EWS DBD) sebagai upaya pengendalian demam berdarah melalui prediksi kasus bulan datang. Namun sistem EWS DBD masih perlu dilakukan pengembangan. itu penelitian ini memberikan sistem (Roadmap) ABSTRACT Background: Dengue most According to the Yogyakarta City Health Office data, dengue fever cases decreased from 2016 to 2019 but increased in 2020. The Yogyakarta City Health Office developed the Early Warning System for Dengue (EWS DBD) information system to prevent dengue fever in the coming months through case prediction. However, the DHF EWS system still needs to be developed. As a result, this study provides an overview and process for developing a DHF EWS system (Roadmap) by analyzing the components that should be included in the DHF EWS development plan refers to the Health Metrics Network (HMN) theoretical framework and the Technology Roadmapping Framework (TRM). Method : Qualitative descriptive case study was to examine the need for the development of EWS DHF by using WHO's Health Metrics Network (HMN) theory. Result : The DHF EWS is used to inform policy decisions regarding dengue fever prevention. At the moment, the DHF EWS can forecast monthly cases through graphic visualizations and maps with color-coded alerts. Additionally, there is a feature for downloading predictive results and the contact us feature. There is still scope for further improvement. It is mainly in the technological realm, including increasing the frequency of data collection per week, incorporating safeguarding data sharing (SQL), providing information on data visualization, adding features for policy history notes, granting policy ratings notifying users. The human resource (HR) component includes system orientation, data interpretation training, and work procedure guidelines. Moreover, the policy aspect includes system Masyarakat integration efforts, a collaboration between fields/agencies, and intellectual property rights (IPR). Conclusion : Whereas the DHF EWS can inform policy-making, the data obtained are still relatively meager. The system's user-friendliness of use can still be improved, particularly in terms of system features, human resources, and organization (policy).