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1.
J Infect Dev Ctries ; 15(8): 1107-1116, 2021 08 31.
Article in English | MEDLINE | ID: mdl-34516418

ABSTRACT

INTRODUCTION: National strategies to control COVID-19 pandemic consisted mostly of social distancing measures such as lockdowns, curfews, and stay-home guidelines, personal protection such as hand hygiene and mask wearing, as well as contact tracing, isolation and quarantine. Whilst policy interventions were broadly similar across the globe, there were some differences in individual and community responses. This study explored community responses to COVID-19 containment measures in different countries and synthesized a model. This exaplains the community response to pandemic containment measures in the local context, so as to be suitably prepared for future interventions and research. METHODOLOGY: A mutlinational study was conducted from April-June 2020 involving researchers from 12 countries (Japan, Austria, U.S., Taiwan, India, Sudan, Indonesia, Malaysia, Philippines, Myanmar, Vietnam and Thailand). Steps in this research consisted of carrying out open-ended questionnaires, qualitative analyses in NVivo, and a multinational meeting to reflect, exchange, and validate results. Lastly, a commuinty response model was synthesized from multinational experiences. RESULTS: Effective communication is key in promoting collective action for preventing virus transmission. Health literacy, habits and social norms in different populations are core components of public health interventions. To enable people to stay home while sustaining livelihoods, economic and social support are essential. Countries could benefit from previous pandemic experience in their community response. Whilst contact tracing and isolation are crucial intervention components, issues of privacy and human rights need to be considered. CONCLUSIONS: Understanding community responses to containment policies will help in ending current and future pandemics in the world.


Subject(s)
COVID-19/epidemiology , COVID-19/prevention & control , Communicable Disease Control/statistics & numerical data , Internationality , Public Health/statistics & numerical data , Communicable Disease Control/methods , Contact Tracing , Health Risk Behaviors , Humans , Public Health/methods , Quarantine
3.
Disaster Med Public Health Prep ; 12(1): 19-22, 2018 02.
Article in English | MEDLINE | ID: mdl-28903795

ABSTRACT

OBJECTIVE: To determine the ability of a novel responder mental health self-triage system to predict post-traumatic stress disorder (PTSD) in emergency medical responders after a disaster. METHODS: Participants in this study responded to Typhoon Haiyan, which struck the Philippines in November 2013. They completed the Psychological Simple Triage and Rapid Treatment (PsySTART) responder triage tool, the PTSD Checklist (PCL-5) and the Patient Health Questionnaire-8 (PHQ-8) shortly after responding to this disaster. The relationships between these 3 tools were compared to determine the association between different risk exposures while providing disaster medical care and subsequent levels of PTSD or depression. RESULTS: The total number of PsySTART responder risk factors was closely related to PCL-5 scores ≥38, the threshold for clinical PTSD. Several of the PsySTART risk factors were predictive of clinical levels of PTSD as measured by the PCL-5 in this sample of deployed emergency medical responders. CONCLUSIONS: The presence of a critical number and type of PsySTART responder self-triage risk factors predicted clinical levels of PTSD and subclinical depression in this sample of emergency medical workers. The ability to identify these disorders early can help categorize an at-risk subset for further timely "stepped care" interventions with the goals of both mitigating the long-term consequences and maximizing the return to resilience. (Disaster Med Public Health Preparedness. 2018;12:19-22).


Subject(s)
Emergency Responders/psychology , Mental Disorders/diagnosis , Triage/methods , Adult , Emergency Responders/statistics & numerical data , Female , Humans , Male , Mental Disorders/epidemiology , Middle Aged , Philippines/epidemiology , Risk Factors , Stress Disorders, Post-Traumatic/diagnosis , Triage/statistics & numerical data
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