A Data-informed Public Health Policy-Makers Platform

Dario Brdarić, Senka Samardžić, Ivana Mihin Huskić, Giorgos Dritsakis, Jadran Sessa, Mariola Śliwińska-Kowalska, Małgorzata Pawlaczyk-Łuszczyńska, Ioannis Basdekis and George Spanoudakis
Additional contact information
Dario Brdarić: Department for Disinfection, Disinsection and Deratization, Institute of Public Health for the Osijek Baranya County, 31000 Osijek, Croatia
Senka Samardžić: Department for Disinfection, Disinsection and Deratization, Institute of Public Health for the Osijek Baranya County, 31000 Osijek, Croatia
Ivana Mihin Huskić: Department for Disinfection, Disinsection and Deratization, Institute of Public Health for the Osijek Baranya County, 31000 Osijek, Croatia
Giorgos Dritsakis: Ear Institute, University College London, London WC1E 6BT, UK
Jadran Sessa: Dipartimento di Informatica, Università degli Studi di Milano, 20133 Milano, Italy
Mariola Śliwińska-Kowalska: Department of Physical Hazard, Nofer Institute of Occupational Medicine, 91-348 Łódź, Poland
Małgorzata Pawlaczyk-Łuszczyńska: Department of Physical Hazard, Nofer Institute of Occupational Medicine, 91-348 Łódź, Poland
Ioannis Basdekis: Department of Computer Science, City University of London, London EC1V 0HB, UK
George Spanoudakis: Department of Computer Science, City University of London, London EC1V 0HB, UK

IJERPH, 2020, vol. 17, issue 9, 1-17

Abstract: 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.

Keywords: policymaking; big data analytics; health (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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