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Article

A Data-informed Public Health Policy-Makers Platform

1
Department for Disinfection, Disinsection and Deratization, Institute of Public Health for the Osijek Baranya County, 31000 Osijek, Croatia
2
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
3
Ear Institute, University College London, London WC1E 6BT, UK
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Dipartimento di Informatica, Università degli Studi di Milano, 20133 Milano, Italy
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Department of Physical Hazard, Nofer Institute of Occupational Medicine, 91-348 Łódź, Poland
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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; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17093271
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. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17093271

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. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17093271

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. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17093271

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