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A Data-informed Public Health Policy-Makers Platform

Department for Disinfection, Disinsection and Deratization, Institute of Public Health for the Osijek Baranya County, 31000 Osijek, Croatia
Department of Public Health, Humanities and Social Sciences in Biomedicine, Faculty of Dental Medicine and Health, J. J. Strossmayer University of Osijek, 31000 Osijek, Croatia
Ear Institute, University College London, London WC1E 6BT, UK
Dipartimento di Informatica, Università degli Studi di Milano, 20133 Milano, Italy
Department of Physical Hazard, Nofer Institute of Occupational Medicine, 91-348 Łódź, Poland
Department of Computer Science, City University of London, London EC1V 0HB, UK
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(9), 3271;
Received: 14 March 2020 / Revised: 1 May 2020 / Accepted: 3 May 2020 / Published: 7 May 2020
(This article belongs to the Special Issue Computing Techniques for Environmental Research and Public Health)
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. View Full-Text
Keywords: policymaking; big data analytics; health policymaking; big data analytics; health
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MDPI and ACS Style

Brdarić, D.; Samardžić, S.; Huskić, I.M.; Dritsakis, G.; Sessa, J.; Śliwińska-Kowalska, M.; Pawlaczyk-Łuszczyńska, M.; Basdekis, I.; Spanoudakis, G. A Data-informed Public Health Policy-Makers Platform. Int. J. Environ. Res. Public Health 2020, 17, 3271.

AMA Style

Brdarić D, Samardžić S, Huskić IM, Dritsakis G, Sessa J, Śliwińska-Kowalska M, Pawlaczyk-Łuszczyńska M, Basdekis I, Spanoudakis G. A Data-informed Public Health Policy-Makers Platform. International Journal of Environmental Research and Public Health. 2020; 17(9):3271.

Chicago/Turabian Style

Brdarić, Dario, Senka Samardžić, Ivana M. Huskić, Giorgos Dritsakis, Jadran Sessa, Mariola Śliwińska-Kowalska, Małgorzata Pawlaczyk-Łuszczyńska, Ioannis Basdekis, and George Spanoudakis. 2020. "A Data-informed Public Health Policy-Makers Platform" International Journal of Environmental Research and Public Health 17, no. 9: 3271.

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