Issue |
E3S Web Conf.
Volume 202, 2020
The 5th International Conference on Energy, Environmental and Information System (ICENIS 2020)
|
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Article Number | 12007 | |
Number of page(s) | 7 | |
Section | Public Health and Epidemiology | |
DOI | https://doi.org/10.1051/e3sconf/202020212007 | |
Published online | 10 November 2020 |
The improvement of Self Immunity, Mental and Psychosocial Health to Prevent Covid-19 Infection in Elders in Surakarta Indonesia
Department of Sociology, Sebelas Maret University, Surakarta, Indonesia
* Corresponding author: argyodemartoto_fisip@staff.uns.ac.id
Elder group is the one with the risk of being infected with Coronavirus Disease 19 (Covid-19). It is very important to prevent Covid-19 transmission with any attempt, particularly in elders. This research aimed to help explain the importance of maintaining immunity and preventing Covid-19 transmission to elders in order to be alerted to Covid-19 in Surakarta Indonesia. This qualitative research with explorative approach employed purposive sampling technique. Unit of analysis consisted of elders in many areas in Surakarta, Chief Executive of Covid-19 Management Acceleration Task force of Surakarta City, pulmonologist and nurses in Dr. Moewardi Surakarta Hospital, Chairperson of Surakarta City’s Health Office (DKK), Head of Disease Control and Environmental Health Division of Surakarta Health Office, and Chairperson of Surakarta City’s Social Office. Data collection was conducted through observation, in-depth interview, and documentation, and then method and data source triangulations. Data analysis was conducted using an interactive model of analysis with Parsons’ system theory. The result of research showed that the Covid-19 prevention in elders in Surakarta was conducted through improving their physical immunity, nursing care for elders, nursing care for family, and preventing physical, and mental and psychosocial health problems in elders.
Key words: elders / body immunity / Covid-19
© The Authors, published by EDP Sciences, 2020
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.
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