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A Data-informed Public Health Policy-Makers Platform

Brdaric, D., Samardžić, S., Huskić, I., Dritsakis, G., Sessa, J., Śliwińska-Kowalska, M., Pawlaczyk-Łuszczyńska, M., Basdekis, I. and Spanoudakis, G. ORCID: 0000-0002-0037-2600 (2020). A Data-informed Public Health Policy-Makers Platform. International Journal of Environmental Research and Public Health, 17(9), 3271.. doi: 10.3390/ijerph17093271

Abstract

Hearing loss is a disease exhibiting a growing trend due to the number of factors, including but not limited to the mundane exposure to the noise and ever-increasing amount of 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 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 a 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 professionals involved in the policy development process in Croatia.

Publication Type: Article
Additional Information: © This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Publisher Keywords: policymaking; big data analytics; health
Subjects: J Political Science > JS Local government Municipal government
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Departments: School of Mathematics, Computer Science & Engineering > Computer Science
Date Deposited: 04 May 2020 09:49
URI: https://openaccess.city.ac.uk/id/eprint/24125
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