Model of Trauma Healing Policy for Communities in the COVID-19 Pandemic Period in Padang City – Indonesia

Asman, Aulia and Barlian, Eri and Siti, Fatimah and Dewata, Indang and Asman, Auzia (2020) Model of Trauma Healing Policy for Communities in the COVID-19 Pandemic Period in Padang City – Indonesia. Journal of Advanced Research in Dynamical and Control Systems, 12 (7). pp. 646-651. ISSN 1943-023X

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Abstract

Corona Virus Disease 2019 or COVID-19 is a disease caused by the coronavirus with the spread in the fastest time and manner so that it becomes a pandemic in the world, including in Indonesia. Padang City is one of the cities or regencies on Sumatra Island that has the highest COVID-19 case. The high number of cases causes many people to experience pre-existing psychological problems and secondary traumatic stress (STS), so this study aims to develop a trauma healing policy model for the community during the COVID-19 pandemic in Padang City. This research is a quantitative descriptive study, using in-depth interview data collection techniques for expert respondents whose results are analyzed using the Analytical Hierarchy Process (AHP). In compiling a policy model, used stigma or point of view, mental or mental health, and behaviour as policy criteria. The results showed that the priority policies for consideration for the Padang City government were: a) Conducting socialization and increasing public knowledge and awareness about COVID-19, transmission and prevention, so that negative community stigma can change and become support for positive sufferers (76.7%); b) Increase cooperation vertically and horizontally starting from the community to the government (55.50%); c) Promote and socialize prevention of COVID-19 transmission directly or online to the community, then familiarize the community applying it in daily life by applying various rules in the public environment (54.90%); and d) Increase COVID-19 adaptation and recovery through re-centring, personal awakening, emotion stabilizing, and buddy system application (53.80%)

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