Version 1
: Received: 29 December 2023 / Approved: 29 December 2023 / Online: 29 December 2023 (12:08:29 CET)
How to cite:
Lupu-Dima, L.; Edelhauser, E. Gis Health Services, a Proposed Management Model in Public Health. A Case Study Applied to the Conditions Imposed by the COVID-19 Pandemic.. Preprints2023, 2023122296. https://doi.org/10.20944/preprints202312.2296.v1
Lupu-Dima, L.; Edelhauser, E. Gis Health Services, a Proposed Management Model in Public Health. A Case Study Applied to the Conditions Imposed by the COVID-19 Pandemic.. Preprints 2023, 2023122296. https://doi.org/10.20944/preprints202312.2296.v1
Lupu-Dima, L.; Edelhauser, E. Gis Health Services, a Proposed Management Model in Public Health. A Case Study Applied to the Conditions Imposed by the COVID-19 Pandemic.. Preprints2023, 2023122296. https://doi.org/10.20944/preprints202312.2296.v1
APA Style
Lupu-Dima, L., & Edelhauser, E. (2023). Gis Health Services, a Proposed Management Model in Public Health. A Case Study Applied to the Conditions Imposed by the COVID-19 Pandemic.. Preprints. https://doi.org/10.20944/preprints202312.2296.v1
Chicago/Turabian Style
Lupu-Dima, L. and Eduard Edelhauser. 2023 "Gis Health Services, a Proposed Management Model in Public Health. A Case Study Applied to the Conditions Imposed by the COVID-19 Pandemic." Preprints. https://doi.org/10.20944/preprints202312.2296.v1
Abstract
The current context has proved unequivocally that public health is one of the pillars of society, playing a determining role and being a balancing factor. This study aimed to provide additional evidence supporting the use of geographic information systems in and from public health. For the study, the authors use public data from the Transparency COVID-19 data set at the Romanian level, which they process with the QGIS application, to effectively determine the influence of the location of the vaccination centers, respectively the impact on the incidence of COVID 19. The research carried out, which generated 153 maps, allows the statement, that reports based on the geographical location of data collected from the public health system are easier to analyze and to evaluate the effectiveness of the decisions taken. By analyzing the evolution of some public health indicators, that are difficult to correlate through analytical relationships, this study offers, as the main finding, an additional argument for the use of geographic information systems in public health management. As the limitations of research in the simulation component are relevant, further research is needed to provide the necessary evidence to convince about the effectiveness of using geographic information systems to optimize outcomes in the public health system. For this reason, it is necessary that the data structures in the public system, to be built and collected in a comprehensive way, with an optimal level of granularity.
Keywords
GIS; COVID19; public health; emergencies
Subject
Engineering, Safety, Risk, Reliability and Quality
Copyright:
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.
