Issue |
E3S Web Conf.
Volume 325, 2021
ICST 2021 – The 2nd Geoscience and Environmental Management Symposium
|
|
---|---|---|
Article Number | 06003 | |
Number of page(s) | 5 | |
Section | Human and Natural Resources | |
DOI | https://doi.org/10.1051/e3sconf/202132506003 | |
Published online | 17 November 2021 |
Correlation study between physical disability and covid-19 cases in Sleman, Indonesia
1
Environmental Geography Department, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia
2
Development Geography Department, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia
3
Department of International Relations, Faculty of International Relations, Daito Bunka University, Japan
* Corresponding author: ratihfitria.putri@ugm.ac.id
The spread of the highly infectious COVID-19 has severely impacted the global community. Population density and intense physical interaction are the catalysts of the virus spread. Many regulations were issued to halt the spread of the virus, including the limitation of people’s mobility and physical interaction. With the limitation of mobility and physical interaction, many people with disabilities are struggling to access their needs since they depend on their caregivers. The lack of inclusive policies in the health system itself also ends up deprioritizing the disabled. This article aims to identify the correlation between physical disability and COVID-19 cases and identify the spatial distribution of the correlation in Sleman regency, Indonesia. This article presents the correlation with the qualitative approach using Pearson product-moment correlation method. The data used in this article is secondary data obtained from official government agencies. The findings of this study showed that Pearson correlation between physical disability and COVID-19 cases is 0,04346 and classified as very low positive.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.