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2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 ; 2023.
Article in English | Scopus | ID: covidwho-2327068

ABSTRACT

This workshop explores the role of healing ourselves as a key aspect for transformative social change. It brings together social justice and community based work in HCI that engages with healing and joy to expand on current methodologies such as autoethnography, somaesthetics, and embodied design which aim to describe different ways of knowing and describing and living experiences as inputs for design futuring. Our concern of interest is the ways in which all of us have lived through continuous community grief and loss due to the ongoing COVID-19 pandemic and a continued climate crisis;and the resulting symptoms like anxiety, depression, body pain, and scattered focus. We believe that we must acknowledge these experiences and feelings about these events in order to effectively work towards more optimistic futures. This workshop takes the space and time to consider our recent collective traumas and explore how to integrate them into futures that support the development of futures that fit our emotional, ethical, social and physical needs. Our aim is to build a greater understanding of how the CHI community can integrate healing in support of social change. © 2023 Owner/Author.

2.
17th Participatory Design Conference - Embracing Cosmologies: Expanding Worlds of Participatory Design, PDC 2022 ; 2:215-218, 2022.
Article in English | Scopus | ID: covidwho-2020412

ABSTRACT

This workshop explores the links between healing ourselves and our aspirations for transformative social change. We call for the development of methodologies for participatory and experiential futures based on PDC's nascent research directions such as autoethnography, somaesthetics, and embodied design. Over the last two years, we have lived through the ongoing Covid-19 pandemic and a continued climate crisis. For many, these events have led to/contribute to symptoms like anxiety, depression, body pain, and scattered focus. Without acknowledging our feelings about these events, our symptoms could become worse and it will become more difficult to effectively work towards more hopeful and healthy futures. This workshop thus insists on taking our recent collective traumas seriously in building futures that we want to live in. Our aim is to work towards a better understanding of how PD might support healing ourselves in service of collective healing and social change. © 2022 ACM.

3.
Oman Medical Journal ; 35 (1):6, 2020.
Article in English | EMBASE | ID: covidwho-820375

ABSTRACT

Objectives: Middle East respiratory syndrome coronavirus (MERS-CoV) causes severe respiratory illness. The majority of cases worldwide have been reported by Saudi Arabia. Clinicians and health authorities in Saudi Arabia are required to report all suspected MERS-CoV cases to the Health Electronic Surveillance Network (HESN), a national electronic surveillance platform. We aimed to describe trends in MERS-CoV surveillance and laboratory testing in Saudi Arabia over a three-year period. Method(s): Demographic information and laboratory results were collected for all suspected MERS-CoV cases reported to HESN between 1 March 2016 and 20 March 2019. Demographic and laboratory data of suspected and confirmed cases was analyzed. Data were stratified by local Health Affairs Directorate (HAD) and population estimates obtained from the Ministry of Health. Result(s): During the study period, 200 937 suspected MERS-CoV cases were reported to HESN. MERS-CoV was detected in 698 (0.3%;0.7 per 100 000 population per year). The majority of suspected cases were male (54.3%) and Saudi nationals (72.8%). Among the confirmed cases, 517 (74.1%) were male, 501 (71.8%) were Saudi nationals, and the median age was 54 years (interquartile range: 40 years-65 years). No MERS-CoV cases were identified among Hajj pilgrims. Percent positivity varied by region, with the highest percentage in Hafer Al- Baten HAD (1.2%), followed by Najran HAD (1.1%). Conclusion(s): Saudi Arabia continues to perform extensive surveillance for MERS-CoV, with an average of ~5400 suspected cases identified and tested per month. Continued surveillance is needed to better understand transmission and to monitor testing practices.

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