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A Data-informed Public Health Policy-Makers Platform.

Dario BrdarićSenka SamardžićIvana Mihin HuskićGiorgos DritsakisJadran SessaMariola Śliwińska-KowalskaMałgorzata Pawlaczyk-ŁuszczyńskaIoannis BasdekisGeorge Spanoudakis
Published in: International journal of environmental research and public health (2020)
Hearing loss is a disease exhibiting a growing trend due to a number of factors, including but not limited to the mundane exposure to the noise and ever-increasing size of the older population. In the framework of a public health policymaking process, modeling of the hearing loss disease based on data is a key factor in alleviating the issues related to the disease and in issuing effective public health policies. First, the paper describes the steps of the data-driven policymaking process. Afterward, a scenario along with the part of the proposed platform responsible for supporting policymaking are presented. With the aim of demonstrating the capabilities and usability of the platform for the policy-makers, some initial results of preliminary analytics are presented in the framework of a policy-making process. Ultimately, the utility of the approach is validated throughout the results of the survey which was presented to the health system policy-makers involved in the policy development process in Croatia.
Keyphrases
  • public health
  • hearing loss
  • global health
  • big data
  • high throughput
  • healthcare
  • physical activity
  • air pollution
  • artificial intelligence