1,649 research outputs found

    A review on Quarantine during COVID-19 Outbreak: Lessons Learned from Previous Epidemics

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    Background: Since the emergence in December 2019, the novel coronavirus disease 2019 (COVID-19) has caused a global pandemic that has infected so many people all around the world. As there are no vaccination or antiviral treatment available yet, public health measures play a substantial role in the management of this pandemic. Governments of affected countries have imposed different quarantine policies and travel bans. As quarantine can have many controversial aspects, this review intends to clarify its role in disease control and other aspects of human everyday life with due attention to a couple of epidemics in the past (SARS, MERS, and flu) and ongoing COVID-19 outbreak.   Methods: We conducted a thorough search in PubMed, Research Gate, Google Scholar, Excerpta Media Database (EMBASE), and Web of Science databases and collected all relevant articles to Quarantine in the past epidemics (SARS, MERS, and flu) as well as ongoing COVID-19 pandemic.     Results:  A total of 176 articles were extracted in our primary search process. Primarily, 53 articles have been excluded because of duplication. The other 44 articles have been excluded due to different reasons (Lack of useful information and eligibility of data). Finally, 79 articles were selected for more evaluation (published until April 2020).   Conclusion: By having previous epidemics, including SARS, MERS, and flu, in mind, quarantine and isolation seem to be proper choices for this situation. But, as this epidemy is bigger than former ones, stricter public health measurements, such as serious social distancing and community-wide containment, are recommended

    Investigating inclusive risk communication in the context of influenza outbreaks

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    Outbreaks of novel influenza viruses are continually occurring on many places on our planet, with the ultimate and most extreme consequence being a full-scale pandemic. Modern communication technology is widely used for risk communication regarding recommended change in behavior patterns and other precautions in order to mitigate the transmission. However, the assumption and bias that modern communication technology constitutes the norm causes vulnerable groups to be at possible risk of systematic exclusion to correct and updated information. Through conducting a literature- and case analysis, the aim of this study is to identify insufficient or inadequate risk communication efforts in South Korea and Vietnam during influenza outbreaks, especially with concern of vulnerable groups. Further, to analyze how national influenza preparedness plans observe or ignore these insufficiencies. Results show that vulnerable groups are explicitly recognized in the preparedness plan of Vietnam. However, the South Korean preparedness plan show a more homogenous approach. Both South Korea and Vietnam showed a broad variety of channels used in their risk communication strategies which could be positive in terms of a broad outreach to a heterogenous population, including vulnerable groups. Four key factors that moderate the outcomes of risk communication were identified: Channels, Messages, Transparency and Trust

    A Case of Three East Asian Cities

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ํ™˜๊ฒฝ๋Œ€ํ•™์› ํ™˜๊ฒฝ๊ณ„ํšํ•™๊ณผ, 2021.8. ๊น€ํƒœํ˜•.์ฝ”๋กœ๋‚˜19๋Š” ์ „์„ธ๊ณ„์ธ์˜ ์‚ถ์— ์œ ๋ก€์—†๋Š” ์˜ํ–ฅ์„ ๋ฏธ์ณค๋‹ค. ์ฝ”๋กœ๋‚˜19์™€ ๊ฐ™์€ ์ „์—ผ๋ณ‘์˜ ํ™•์‚ฐ์€ ๊ณต๊ฐ„์ ์ธ ๊ณผ์ •์œผ๋กœ์จ, ์ง€์—ญ์— ๋”ฐ๋ผ ์ƒ์ดํ•œ ๋ฐœ์ƒ๋ฅ ๊ณผ ์‚ฌ๋ง๋ฅ ์„ ๋ณด์ด๋Š” ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ๋‹ค. ๊ทธ ๊ฐ€์šด๋ฐ ๋„์‹œ๋Š” ์ „์„ธ๊ณ„ ์ธ๊ตฌ์˜ ์ ˆ๋ฐ˜ ์ด์ƒ์ด ๊ฑฐ์ฃผํ•˜๊ณ  ์žˆ๋Š” ๊ณณ์œผ๋กœ, ์ฝ”๋กœ๋‚˜19 ํ™•์ง„์ž์˜ 90% ์ด์ƒ์ด ๋„์‹œ ์ง€์—ญ์— ์ง‘์ค‘๋˜์–ด ์žˆ๋‹ค. ๋˜ํ•œ, ๋„์‹œ ๋‚ด ์—ฌ๋Ÿฌ ๋‹ค์ค‘ ์ด์šฉ ์‹œ์„ค ๋ฐ ๊ณต๊ฐ„์—์„œ์˜ ์ง‘๋‹จ๊ฐ์—ผ์ด ๋ณด๊ณ ๋˜๋ฉด์„œ ๋„์‹œ ๊ณต๊ฐ„์„ ๋Œ€์ƒ์œผ๋กœ ์ฝ”๋กœ๋‚˜19์˜ ์—ญํ•™์„ ๊ทœ๋ช…ํ•˜๊ธฐ ์œ„ํ•œ ์—ฐ๊ตฌ๊ฐ€ ์ง„ํ–‰๋˜์—ˆ๋‹ค. ๋„์‹œ ๋‚ด์—๋Š” ๋‹ค์–‘ํ•œ ์ข…๋ฅ˜์˜ ๋‹ค์ค‘ ์ด์šฉ ์‹œ์„ค์ด ์กด์žฌํ•จ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ๋งŽ์€ ์—ฐ๊ตฌ์—์„œ๋Š” ์ผ๋ถ€์˜ ๋„์‹œ ๊ณต๊ฐ„๋งŒ์„ ๋Œ€์ƒ์œผ๋กœ ์ฝ”๋กœ๋‚˜19์˜ ์ „์—ผ๊ณผ ํ™•์‚ฐ์„ ๋ถ„์„ํ•ด ์™”๋‹ค. ์ด์— ์ด ์—ฐ๊ตฌ๋Š” 14์ข…์˜ ๋„์‹œ ๊ณต๊ฐ„์„ ์—ฐ๊ตฌ์— ํฌํ•จํ•˜์—ฌ ์ฝ”๋กœ๋‚˜19 ํŒฌ๋ฐ๋ฏน ๊ฐ€์šด๋ฐ ๋„์‹œ๋ฏผ์˜ ๋„์‹œ ๊ณต๊ฐ„ ์ด์šฉ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ธ์‹ ๋ฐ ํ–‰๋™ ์š”์ธ์„ 3๊ฐœ ๋„์‹œ๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ•œ ์‚ฌ๋ก€์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ๋ฐํžˆ๊ณ ์ž ํ•œ๋‹ค. ์‚ฌ๋ก€์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•จ์— ์žˆ์–ด, ์ด ์—ฐ๊ตฌ๋Š” ๋Œ€ํ•œ๋ฏผ๊ตญ์˜ ์„œ์šธ, ์ค‘๊ตญ์˜ ์ƒํ•ด, ๋Œ€๋งŒ์˜ ํƒ€์ด๋ฒ ์ด๋ฅผ ์—ฐ๊ตฌ์˜ ๊ณต๊ฐ„์  ๋ฒ”์œ„๋กœ ์„ ์ •ํ•˜์˜€๋‹ค. ์„œ์šธ, ์ƒํ•ด, ํƒ€์ด๋ฒ ์ด๋Š” ์ฝ”๋กœ๋‚˜19 ๋ฐœ๋ณ‘ ์ดˆ๊ธฐ๋ถ€ํ„ฐ ์ „์—ผ๋ณ‘์˜ ์˜ํ–ฅ์„ ๋ฐ›์€ ๋„์‹œ์— ์†ํ•œ๋‹ค. ์ฒซ ์ฝ”๋กœ๋‚˜19 ํ™•์ง„ ์‚ฌ๋ก€๊ฐ€ ๊ฐ™๊ฑฐ๋‚˜ ์œ ์‚ฌํ•œ ์ผ์ž์— ๋ณด๊ณ ๋˜์—ˆ์œผ๋ฉฐ, ์ด์— ๋”ฐ๋ผ ์ผ์ œํžˆ ํ™•์‚ฐ์„ ๋ฐฉ์ง€ํ•˜๊ธฐ ์œ„ํ•œ ์ •์ฑ…์  ์กฐ์น˜๋ฅผ ์‹œํ–‰ํ–ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ฒซ ํ™•์ง„์ž ๋ณด๊ณ  ์ดํ›„ ์ฝ”๋กœ๋‚˜19 ํ™•์‚ฐ๊ณผ ํ†ต์ œ ์–‘์ƒ์—์„œ ์„ธ ๋„์‹œ๋Š” ๋‹ค๋ฅธ ๋ชจ์Šต์„ ๋ณด์˜€๋‹ค. ์„œ์šธ์—์„œ๋Š” ์ฝ”๋กœ๋‚˜19์˜ ํ™•์‚ฐ๊ณผ ์™„ํ™”๊ฐ€ ๋ฐ˜๋ณต๋˜๋ฉฐ ์˜ค๋žœ ๊ธฐ๊ฐ„ ์ฝ”๋กœ๋‚˜19 ๊ทธ๋Š˜ ์•„๋ž˜์—์„œ ๋Š์ž„์—†์ด ์˜ํ–ฅ์„ ๋ฐ›์•˜๋‹ค. ์ƒํ•ด์˜ ๊ฒฝ์šฐ, ํ™•์ง„ ์‚ฌ๋ก€ ๋ณด๊ณ  ์ดˆ๊ธฐ์— ๋งค์šฐ ๊ฐ•๋„ ๋†’์€ ์ด๋™ ์ œํ•œ ๋ฐ ๋„์‹œ ๊ณต๊ฐ„ ์ด์šฉ ๊ธˆ์ง€ ์กฐ์น˜๋ฅผ ์‹œํ–‰ํ•˜์˜€๊ณ  ์ด๋กœ ์ธํ•ด ์ง€์†์ ์œผ๋กœ ๋‚ฎ์€ ์‹ ๊ทœ ํ™•์ง„์ž ์ˆ˜๋ฅผ ์œ ์ง€ํ•˜์˜€๋‹ค. ํƒ€์ด๋ฒ ์ด ๋ฐ ๋Œ€๋งŒ์˜ ๊ฒฝ์šฐ, ์ฆ‰๊ฐ์ ์ด๊ณ  ์„ ์ œ์ ์ธ ๊ตญ๊ฒฝ ๋ด‰์‡„์™€ ๊ณผํ•™์ ์ธ ์‚ฌ๋ก€ ์ถ”์ ์„ ํ†ตํ•ด ์ „์—ผ๋ณ‘์„ ์˜ํ–ฅ์„ ๋งค์šฐ ์ œํ•œ์ ์œผ๋กœ ๊ฒฝํ—˜ํ•œ ๋ชจ๋ฒ” ๋ฐฉ์—ญ๊ตญ์œผ๋กœ ํ‰๊ฐ€๋ฐ›๋Š”๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ์ƒ๊ธฐํ•œ ๋„์‹œ์— ๊ฑฐ์ฃผํ•˜๋Š” ๋งŒ 19์„ธ ์ด์ƒ ์„ฑ์ธ์„ ๋Œ€์ƒ์œผ๋กœ ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค. ์„œ์šธ, ์ƒํ•ด, ํƒ€์ด๋ฒ ์ด ์ˆœ์„œ๋กœ 2020๋…„ 9์›” 23์ผ-10์›” 7์ผ, 2020๋…„ 9์›” 8์ผ-2021๋…„ 1์›” 8์ผ, 2020๋…„ 10์›” 15์ผ-2021๋…„ 1์›” 4์ผ์— ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ์‹œํ–‰ํ•˜์˜€๋‹ค. ํ‘œ๋ณธ ํฌ๊ธฐ๋Š” ๊ฐ๊ฐ 537๋ช…, 398๋ช…, 152๋ช…์ด๋‹ค. ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ† ๋ฅผ ํ†ตํ•ด ๋„์‹œ ๊ณต๊ฐ„ ์ด์šฉ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๋ณ€์ˆ˜๋กœ, ์ฝ”๋กœ๋‚˜19์— ๋Œ€ํ•œ ์œ„ํ—˜์ธ์‹, ์ฝ”๋กœ๋‚˜19์— ๋Œ€ํ•œ ๋„์‹œ ์•ˆ์ „๋„ ์ธ์‹, ๋ฐฉ์—ญ ๋ฐ ์ „์—ผ๋ณ‘ ํ†ต์ œ ์ •์ฑ…์„ ๋„์ถœํ•˜์˜€๋‹ค. ๋˜ํ•œ ํฌ๋ก ๋ฐ”ํ ์•ŒํŒŒ๊ฐ’์„ ๊ณ„์‚ฐํ•ด ๋ชจํ˜•์— ํฌํ•จ๋  ๋ณต์ˆ˜์˜ ์„ค๋ฌธ๋ฌธํ•ญ์„ ํ•˜๋‚˜์˜ ์š”์ธ์œผ๋กœ ๋ฌถ๊ณ  ์ด๋ฅผ ํ†ต๊ณ„๋ชจํ˜•์— ํˆฌ์ž…ํ•˜์˜€๋‹ค. ๊ฐœ์ธ์˜ ์ธ์‹ ๋ฐ ํ–‰๋™ ๋ณ€์ˆ˜๊ฐ€ ๋„์‹œ ๊ณต๊ฐ„ ๋ฐฉ๋ฌธ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์กฐ๋ช…ํ•˜๋Š” ๋ฐ ์žˆ์–ด, ๋ฌธํ—Œ๊ฒ€ํ† ๋ฅผ ํ†ตํ•ด 14์ข…์˜ ๋„์‹œ ๊ณต๊ฐ„์„ 3๊ฐ€์ง€ ํ™œ๋™ ๊ณต๊ฐ„ (ํ•„์ˆ˜ ํ™œ๋™ ๊ณต๊ฐ„, ์œ ์ง€ ํ™œ๋™ ๊ณต๊ฐ„, ์—ฌ๊ฐ€ ํ™œ๋™ ๊ณต๊ฐ„)์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜์—ฌ ๋ถ„์„ ๊ฒฐ๊ณผ๋ฅผ ์ œ์‹œ ๋ฐ ํ•ด์„ํ•˜์˜€๋‹ค. ๋ถ„์„๋ชจํ˜•์œผ๋กœ๋Š” ์ˆœ์„œํ˜• ๋กœ์ง“ ๋ชจํ˜•์„ ์ฑ„ํƒํ•˜์˜€๋‹ค. ๋ฐ˜์‘๋ณ€์ˆ˜๊ฐ€ 11์  ๋ฆฌ์ปคํŠธ์‹ ์ฒ™๋„๋กœ ๊ตฌ์„ฑ๋˜์–ด โ€œ์ฝ”๋กœ๋‚˜19 ๋ฐœ๋ณ‘ ์ด์ „๊ณผ ๋น„๊ตํ•œ ํ˜„์žฌ์˜ ๋„์‹œ ๊ณต๊ฐ„ ๋ฐฉ๋ฌธ ์ˆ˜์ค€โ€์„ ์งˆ๋ฌธํ•œ ๋ฌธํ•ญ์ด๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๋ฐ˜์‘๋ณ€์ˆ˜๊ฐ€ ์ˆœ์„œํ˜• ๋ฒ”์ฃผ๋ฅผ ๊ฐ€์ง„๋‹ค๋Š” ์ ์„ ๊ณ ๋ คํ•˜์—ฌ ์ˆœ์„œํ˜• ๋กœ์ง“ ๋ชจํ˜•์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ, ์šฐ๋ฆฌ๋‚˜๋ผ ์ˆ˜๋„๊ถŒ์—์„œ ๋ชจ๋“  ์œ ํ˜•์˜ ๊ณต๊ฐ„ ๋ฐฉ๋ฌธ์— ๊ณตํ†ต์ ์œผ๋กœ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ธ์‹ ๋ฐ ํ–‰๋™ ์š”์ธ์œผ๋กœ ์—ฌ๊ฐ€ ๋ฐ ์‚ฌํšŒํ™œ๋™ ์ž์ œ์™€ ์ฝ”๋กœ๋‚˜19์— ๋Œ€ํ•œ ์œ„ํ—˜์ธ์‹์ด ๋„์ถœ๋˜์—ˆ๋‹ค. ๊ฐœ์ธ์ ์ธ ์—ฌ๊ฐ€ ๋ฐ ์‚ฌํšŒํ™œ๋™์„ ์ž์ œํ• ์ˆ˜๋ก, ์ฝ”๋กœ๋‚˜19์— ๋Œ€ํ•œ ์œ„ํ—˜์ธ์‹์ด ๋†’์„์ˆ˜๋ก ๋ชจ๋“  ์ข…๋ฅ˜์˜ ๋„์‹œ ๊ณต๊ฐ„ ๋ฐฉ๋ฌธ์„ ๋œ ๋ฐฉ๋ฌธํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํ•„์ˆ˜ ํ™œ๋™ ๊ณต๊ฐ„์„ ์ œ์™ธํ•œ ์œ ์ง€ ํ™œ๋™ ๊ณต๊ฐ„๊ณผ ์—ฌ๊ฐ€ ํ™œ๋™ ๊ณต๊ฐ„ ๋ฐฉ๋ฌธ ์ฆ๊ฐ€์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์œผ๋กœ๋Š” ๋„์‹œ์— ๋Œ€ํ•œ ๋†’์€ ์•ˆ์ „๋„๊ฐ€ ๋„์ถœ๋˜์—ˆ๋‹ค. ๊ฐœ์ธ์ด ๊ฑฐ์ฃผํ•˜๊ณ  ์žˆ๋Š” ๋„์‹œ๊ฐ€ ์ฝ”๋กœ๋‚˜19๋กœ๋ถ€ํ„ฐ ์•ˆ์ „ํ•˜๋‹ค๊ณ  ์ธ์‹ํ• ์ˆ˜๋ก ํ•ด๋‹น ๊ณต๊ฐ„์„ ๋”์šฑ ์ž์ฃผ ๋ฐฉ๋ฌธํ•œ๋‹ค๊ณ  ํ•ด์„ํ•  ์ˆ˜ ์žˆ๋‹ค. ์ƒํ•ด ๋Œ€๋„์‹œ๊ถŒ์—์„œ๋Š” ๋ฐฉ์—ญ ์ •์ฑ…์— ๋Œ€ํ•œ ์ˆœ์‘์ด ๋ชจ๋“  ์œ ํ˜•์˜ ๋„์‹œ ๊ณต๊ฐ„ ๋ฐฉ๋ฌธ์„ ๊ฐ์†Œ์‹œํ‚ค๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Š” ์ค‘๊ตญ ๊ตญ๋ฏผ์˜ ์ •๋ถ€์— ๋Œ€ํ•œ ๋†’์€ ์‹ ๋ขฐ๋„์™€ ์ถฉ์„ฑ์‹ฌ ๋“ฑ ์ค‘๊ตญ ํŠน์œ ์˜ ์‚ฌํšŒ ์ •์น˜์  ๋ฐฐ๊ฒฝ์— ๋”ฐ๋ฅธ ๊ฒฐ๊ณผ๋กœ ์ถ”์ธก๋œ๋‹ค. ์—ฌ๊ฐ€ ๋ฐ ์‚ฌํšŒํ™œ๋™ ์ž์ œ๋Š” ์—…๋ฌด ์‹œ์„ค ๋ฐ ํ•™๊ต๋ฅผ ๋œปํ•˜๋Š” ํ•„์ˆ˜ ํ™œ๋™ ๊ณต๊ฐ„ ๋ฐฉ๋ฌธ ๊ฐ์†Œ์—๋งŒ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ๋˜ํ•œ, ์„œ์šธ๊ณผ ๋‹ค๋ฅด๊ฒŒ ์ฝ”๋กœ๋‚˜19์— ๋Œ€ํ•œ ์œ„ํ—˜ ์ธ์‹์ด ๋†’์„์ˆ˜๋ก ์œ ์ง€ ํ™œ๋™ ๊ณต๊ฐ„๊ณผ ์—ฌ๊ฐ€ ํ™œ๋™ ๊ณต๊ฐ„์—์˜ ๋ฐฉ๋ฌธ์ด ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์„ค๋ฌธ์กฐ์‚ฌ ๋‹น์‹œ ์˜ค๋žœ ๊ธฐ๊ฐ„ ๋‚ฎ์€ ์ผ์ผ ์‹ ๊ทœ ํ™•์ง„์ž ์ˆ˜๊ฐ€ ์œ ์ง€๋˜๋ฉฐ ์ „์—ผ๋ณ‘์ด ํšจ๊ณผ์ ์œผ๋กœ ํ†ต์ œ๋˜๊ณ  ์žˆ์—ˆ๊ธฐ ๋•Œ๋ฌธ์—, ์ฝ”๋กœ๋‚˜19์— ๋Œ€ํ•œ ์œ„ํ—˜์ธ์‹์ด ๋†’์Œ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ํ•ด๋‹น ๊ณต๊ฐ„์—์˜ ๋ฐฉ๋ฌธ์ด ์ค„์ง€ ์•Š๊ณ  ๋Š˜์–ด๋‚œ ๊ฒƒ์œผ๋กœ ์ƒ๊ฐ๋œ๋‹ค. ํƒ€์ด๋ฒ ์ด์—์„œ๋Š” ๋ชจ๋“  ์œ ํ˜•์˜ ๋„์‹œ ๊ณต๊ฐ„ ๋ฐฉ๋ฌธ์— ๊ณตํ†ต์ ์œผ๋กœ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ธ์‹ ๋ฐ ํ–‰๋™ ์š”์ธ์ด ๋„์ถœ๋˜์ง€ ์•Š์•˜๋‹ค. ๋‹ค์‹œ ๋งํ•ด, ์ฝ”๋กœ๋‚˜19 ๋ฐœ๋ณ‘ ์ด์ „๊ณผ ๋น„๊ตํ•œ ๋‹น์‹œ์˜ ๊ณต๊ฐ„ ๋ฐฉ๋ฌธ ์ˆ˜์ค€ ๋ณ€ํ™”์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์ด ์กด์žฌํ•˜์ง€ ์•Š๋Š”๋‹ค๋Š” ๊ฒƒ์ด๋‹ค. ํƒ€์ด๋ฒ ์ด๋Š” ์ „์—ผ๋ณ‘์˜ ์˜ํ–ฅ์„ ๋งค์šฐ ์ œํ•œ์ ์œผ๋กœ ๊ฒฝํ—˜ํ•œ ๋„์‹œ์ด๊ธฐ ๋•Œ๋ฌธ์—, ์ฝ”๋กœ๋‚˜19 ๋ฐœ๋ณ‘ ์ด์ „๊ณผ ์ดํ›„์˜ ๋„์‹œ ๊ณต๊ฐ„ ์ด์šฉ์— ๊ด€์—ฌํ•˜๋Š” ๋ณ€์ˆ˜๊ฐ€ ์กด์žฌํ•˜์ง€ ์•Š์•˜๋˜ ๊ฒƒ์œผ๋กœ ์ถ”์ธก๋œ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ํ•„์ˆ˜ ํ™œ๋™ ๊ณต๊ฐ„๊ณผ ์—ฌ๊ฐ€ ํ™œ๋™ ๊ณต๊ฐ„ ๋ฐฉ๋ฌธ ์ฆ๊ฐ€์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์œผ๋กœ ์—ฌ๊ฐ€ ๋ฐ ์‚ฌํšŒํ™œ๋™์˜ ์ž์ œ๊ฐ€ ๋‚˜ํƒ€๋‚˜ ๋‚˜๋จธ์ง€ ๋‘ ๋„์‹œ์™€๋Š” ์ƒ๋ฐ˜๋œ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์˜€๋‹ค. ์œ„์˜ ๊ณผ์ •์„ ํ†ตํ•ด ์„ธ ๋„์‹œ์˜ ๊ณต๊ฐ„ ๋ฐฉ๋ฌธ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ธ์‹ ๋ฐ ํ–‰๋™ ์š”์ธ๊ณผ ๋ณ€์ˆ˜๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ์ฝ”๋กœ๋‚˜19 ํ™•์‚ฐ์˜ ์ค‘์‹ฌ์ง€์ธ ๋„์‹œ ๊ณต๊ฐ„์„ ์กฐ๋ช…ํ•˜๊ณ , ๋„์‹œ ๊ณต๊ฐ„ ์ด์šฉ์— ๊ด€์—ฌํ•˜๋Š” ๋„์‹œ๋ฏผ์˜ ์ธ์‹ ๋ฐ ํ–‰๋™ ๋ณ€์ˆ˜๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค๋Š” ์ ์—์„œ ์˜์˜๋ฅผ ๊ฐ€์ง„๋‹ค. ์ด ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ์„ ํ–‰ ์—ฐ๊ตฌ์—์„œ ์ œ์‹œ๋œ ๊ณต๊ฐ„ ์ด์šฉ ๊ด€๋ จ ๋ณ€์ˆ˜๋ฅผ ์ผ๋ถ€ ์žฌํ™•์ธํ•˜์˜€์œผ๋ฉฐ, ๋„์‹œ๋ณ„ ์ฝ”๋กœ๋‚˜19 ํ™•์‚ฐ ์–‘์ƒ, ๊ฐ์—ผ๋ณ‘ ๋Œ€์‘ ์ •์ฑ…, ๊ฐ ๊ตญ์˜ ์‚ฌํšŒ ์ •์น˜์  ํŠน์„ฑ ๋“ฑ์„ ๋ฐฐ๊ฒฝ์œผ๋กœ ๊ฐ ๋„์‹œ์˜ ๊ฒฐ๊ณผ๋ฅผ ํ•ด์„ํ•˜์˜€๋‹ค. ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๊ฐ์—ผ๋ณ‘ ๋Œ€์‘ ๋ฐ ํ†ต์ œ ์ •์ฑ… ์„ค๊ณ„ ์‹œ์— ์‹œ๋ฏผ๋“ค์˜ ์ธ์‹ ๋ฐ ํ–‰๋™ ์š”์ธ์„ ๊ณ ๋ คํ•  ํ•„์š”์„ฑ๊ณผ ์œ„ํ—˜ ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜์˜ ์ค‘์š”์„ฑ์— ๋Œ€ํ•œ ์ •์ฑ…์  ํ•จ์˜๋ฅผ ์ œ์‹œํ•˜์˜€๋‹ค.COVID-19 has had an unprecedented impact on peopleโ€™s lives around the world. The spread of infectious diseases such as COVID-19 is known to be a spatial process, presenting different challenges depending on the region. Cities are home to more than half the worldโ€™s population, with more than 90% of confirmed cases of COVID-19 concentrated in the area. In particular, cluster infections of COVID-19 have occurred in various urban spaces, including workplaces, restaurants, bars, religious facilities, healthcare facilities, shopping centers, and sports clubs. Previous studies have been conducted at an urban space-scale; however, studies that have sought to cover multiple urban spaces in one study and identify factors that affect visits to urban spaces during the pandemic have been so far insufficient. Conducting a case study in three East Asian cities, Seoul, Shanghai, and Taipei, this thesis examines individualโ€™s behavior- and perception-related factors that affect the use of urban spaces during the epidemic of COVID-19. Seoul, Shanghai, and Taipei are among the earliest cities where the virus was initially imported. The coronavirus was introduced to those cities around the same time, and lots of policies were accordingly implemented to prevent the spread of the virus. Nevertheless, the three cities showed different patterns in the spread of COVID-19. In Seoul, the city repeatedly experienced the spread and mitigation of the disease. In the case of Shanghai, the city was inevitably affected by infected cases from other provinces in China at the beginning. Shortly after, the city implemented strict movement control and strong containment measures, thereby maintaining a consistently low number of daily new confirmed cases. Taipei in Taiwan implemented strict and consistent border control, quarantine measures, health monitoring, and contact tracing immediately after the first case of COVID-19 was reported in Wuhan. Taipei is considered to be one of the worldโ€™s best responders. The study surveyed adults aged 19 or older living in each city. With the same questionnaire in different languages, the survey was conducted between September 23 and October 7, 2020 in the Seoul Metropolitan Area, September 8, 2020 and January 8, 2021 in the Shanghai Metropolitan Area, and October 15, 2020 and January 4, 2021 in Taipei. The sample sizes of the survey are: 537 in Seoul, 398 in Shanghai, and 152 in Taipei. In shedding light on the impact of individualโ€™s behavior- and perception-related factors or variables on urban space visits, a total of 14 types of urban space are classified into three categories (mandatory activity space, maintenance activity space, and discretionary activity space) based on literature review. For the statistical model, an ordered logit model is performed. Since the response variable is set as the level of urban space visits compared to before the COVID-19 outbreak, which is ordinal, employing the ordered logit model is justified under the consideration of the given data. As a result of the analysis, behavior- and perception-related factors or variables that commonly influence the choice of all types of urban space in Seoul are identified as refraining from leisure or social activities and risk perception of COVID-19. It reveals that the more people desist from having leisure time outside and participating in social events, the less likely they are to visit all types of urban spaces. The higher the risk perception of COVID-19, the lower the visits to all types of urban space. The study also finds that high perceived safety in the city influences the increase in visits to maintenance and discretionary activity space in Seoul, except for mandatory activity space. This can be interpreted that the more people perceive their city to be safe from COVID-19, the more frequently they visit those spaces. In shanghai, compliance with preventive measures turns out to affect the decrease of all types of urban space visits. It can be attributed to the Chinese unique social and political characteristics, such as a high level of trust and loyalty in their government. Refraining from leisure or social activities is positively correlated with the decreased use of mandatory activity space only. Interestingly, higher risk perception of COVID-19 increases the use of maintenance and discretionary activity space in Shanghai. Since the epidemic was effectively controlled at the time of surveying, it is assumed that a higher risk of perception did not lead to a reduction in visits to those spaces. Lastly, in Taipei, no factors that are commonly involved in the visit to all types of urban space are derived. The city was well-known for its highly advanced prevention and control strategies that lead to mostly COVID-19-free daily life during the global epidemic. This result can be explained that no behavior- and perception-related factors influenced changes in visiting behavior compared to before the COVID-19. Nonetheless, refraining from leisure or social activities turns out to influence the increased visits to mandatory and discretionary activity space, contrary to the results from the other two cities. The study demonstrates urban residentโ€™s behavior- and perception-related factors associated with urban space visiting amid the COVID-19 epidemic. The study reconfirms some of the findings from previous studies. It also elucidates the results presented herein based on the context of the spread pattern of the virus, policy responses, and social and political backgrounds of each city. Lastly, this study emphasizes the importance of consideration of peopleโ€™s behavior and perception factors when designing infection prevention and control policies. It also highlights the importance of risk communication as policy implications.โ… . Introduction 1 1. Research Background and Objectives 1 2. Research Scope and Method 3 1) Research Scope and Data 3 2) Research Method and Conceptual Framework 4 โ…ก. Literature Review 6 1. Urban Spaces and COVID-19 6 2. Changes in the Use of Urban Spaces 8 3. Factors Relating to the Use of Urban Spaces 9 1) Risk Perception of Infectious Disease 9 2) Perceived Neighborhood Safety 10 3) Preventive Measures and Policies 11 4. Summary and Implication 12 โ…ข. Methodology 13 1. Study Area 13 1) Seoul 15 2) Shanghai 17 3) Taipei 19 2. Data Analysis 21 โ…ฃ. Results 22 1. Descriptive Statistics 22 1) Descriptive Statistics of the Survey Results 25 2) Internal Consistency Using Cronbachโ€™s Alpha 27 2. Ordered Logit Models 31 1) Seoul 31 2) Shanghai 35 3) Taipei 38 โ…ค. Conclusions 40 1. Summary and Conclusions 40 2. Implications 43 References 46 Appendices 57 Abstract in Korean 61์„

    Knowledge, precautionary actions, and perceived risk of COVID-19 among Indonesian people

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    Novel coronavirus was first identified in China in December 2019, causing several cases of the new type of pneumonia. The exported cases were found in other countries, including countries in the Southeast Asia region. At the same time, no cases were confirmed in Indonesia. We aimed to assess COVID-19 related knowledge, precautionary actions, and perceived risk among general Indonesian population when there were no confirmed cases in Indonesia. This study was a descriptive cross-sectional study involving 382 participants aged 17 years and above residing in Indonesia. The data was collected through the online questionnaire from February 19th to February 29th 2020. The average score of COVID-19 related knowledge was 88.0%, whereas 83.8% of the participants had a high level of knowledge. The average score of taking precautionary actions was 77.4% and 65.7% had a high level of performance. In terms of the perceived risk of COVID-19, only 11.3% of the participants perceived themselves likely to acquire COVID-19 when compared with other diseases or accidents. The perceived risk of COVID-19 was significantly associated with precautionary action (p<0.05). Perceived risk of COVID-19 was at a low level when there were no confirmed cases. Effective strategies of risk communication are needed to improve precautionary actions to prevent COVID-19

    Public Health in Asia during the COVID-19 Pandemic

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    Every nation in Asia has dealt with COVID-19 differently and with varying levels of success in the absence of clear and effective leadership from the WHO. As a result, the WHOโ€™s role in Asia as a global health organization is coming under increasing pressure. As its credibility is slowly being eroded by public displays of incompetence and negligence, it has also become an arena of contestation. Moreover, while the pandemic continues to undermine the future of global health governance as a whole, the highly interdependent economies in Asia have exposed the speed with which pandemics can spread, as intensive regional travel and business connections have caused every area in the region to be hit hard. The migrant labor necessary to sustain globalized economies has been strained and the security of international workers is now more precarious than ever, as millions have been left stranded, seen their entry blocked, or have limited access to health services. This volume provides an accessible framework for the understanding the effects of the COVID-19 pandemic in Asia, with a specific emphasis on global governance in health and labor

    Public Governance Responses to Covid-19 in Italy and South Korea

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ตญ์ œ๋Œ€ํ•™์› ๊ตญ์ œํ•™๊ณผ(๊ตญ์ œํ˜‘๋ ฅ์ „๊ณต), 2021.8. ์ฒด๋””์•„ ์‚ฌ๋ผ.The year 2020 started with the international community witnessing the outbreak of a major coronavirus infection in China. In just a few weeks, the infection spread out to other countries, strongly hitting in particular Italy and South Korea which have thus become the first two countries to experience a major outbreak outside of China. With similar population ratio and comparable levels of economic development, Italy and South Korea have ranked for several weeks 2nd and 3rd for Covid-19 confirmed cases, becoming the new epicenters in Europe and Asia. However, the different policy implementations endorsed by the two governments to respond to the crisis have determined the two countries to experience very different outcomes, with South Korea slowing down the spread in record time while Italy not only keeps registering high number of daily confirmed cases, but also registers one of the highest mortality rate of the whole OECD area. This paper aims at investigating the degree of effectiveness of the crisis management strategies endorsed by the two countries and to analyze the extent to which such outcomes have been the result of the decision-making process carried out by the two governments and to what extent country-specific factors such as demographic pattern, healthcare system, crisis communication and trust in government have influenced the results.2020๋…„์€ ๊ตญ์ œ์‚ฌํšŒ๊ฐ€ ์ค‘๊ตญ์—์„œ์˜ ์ฝ”๋กœ๋‚˜ ๋ฐ”์ด๋Ÿฌ์Šค ๊ฐ์—ผ์˜ ๋ฐœ์ƒ์„ ๋ชฉ๊ฒฉํ•˜๋ฉด์„œ ์‹œ์ž‘๋˜์—ˆ๋‹ค. ์ฝ”๋กœ๋‚˜๋ฐ”์ด๋Ÿฌ์Šค๊ฐ€ ๋ฐœ์ƒํ•œ์ง€ ๋ช‡ ์ฃผ ๋งŒ์— ๋‹ค๋ฅธ ๋‚˜๋ผ๋“ค๋กœ ํผ์ ธ๋‚˜๊ฐ”๊ณ , ํŠนํžˆ ์ดํƒˆ๋ฆฌ์•„์™€ ํ•œ๊ตญ์—๋Š” ๊ฐ•๋ ฅํ•œ ํƒ€๊ฒฉ์„ ๋ฐ›์œผ๋ฉฐ, ์ค‘๊ตญ ๋ฐ–์—์„œ ๋ฐœ์ƒํ•œ ์ตœ์ดˆ์˜ ๋‘ ๋‚˜๋ผ๊ฐ€ ๋˜์—ˆ๋‹ค. ๋‘ ๋‚˜๋ผ๋Š” ์œ ์‚ฌํ•œ ์ธ๊ตฌ ๋น„์œจ๊ณผ ๊ฒฝ์ œ ๊ทœ๋ชจ๋กœ ๋ช‡ ์ฃผ ๋™์•ˆ ์ฝ”๋กœ๋‚˜19 ํ™•์ง„ ํ™˜์ž ์ˆ˜๊ฐ€ 2, 3์œ„๋ฅผ ์ฐจ์ง€ํ•˜๋ฉฐ ์œ ๋Ÿฝ๊ณผ ์•„์‹œ์•„์˜ ์ƒˆ๋กœ์šด ์„œ์‚ฌ์‹œ๊ฐ€ ๋˜์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ๋‘ ์ •๋ถ€๊ฐ€ ์ด ์œ„๊ธฐ์— ๋Œ€์ฒ˜ํ•˜๊ธฐ ์œ„ํ•ด ์‹œํ–‰ํ•œ ๋‹ค๋ฅธ ์ •์ฑ…์œผ๋กœ ์ธํ•ด ๋‘ ๋‚˜๋ผ๋Š” ๋งค์šฐ ์ƒ๋ฐ˜๋˜๋Š” ๊ฒฐ๊ณผ๋ฅผ ๊ฒฝํ—˜ํ•˜๊ฒŒ ๋˜์—ˆ๋‹ค. ํ•œ๊ตญ์€ ๊ธฐ๋ก์ ์ธ ์‹œ๊ฐ„ ๋‚ด์— ํ™•์‚ฐ์„ ๋Šฆ์ถ”๊ณ , ์ดํƒˆ๋ฆฌ์•„๋Š” ๊ณ„์†ํ•ด์„œ ๋งŽ์€ ์ผ์ผ ํ™•์ง„์ž๋ฅผ ๊ธฐ๋กํ•˜๊ณ  ์žˆ์„ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ OECD ์ „์ฒด ์ง€์—ญ์˜ ์‚ฌ๋ง๋ฅ ๋„ ๊ฐ€์žฅ ๋†’์€ ๋‚˜๋ผ ์ค‘ ํ•˜๋‚˜๊ฐ€ ๋˜์—ˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์€ ์–‘๊ตญ์ด ์‹œํ–‰ํ•œ ์œ„๊ธฐ ๊ด€๋ฆฌ ์ „๋žต์˜ ํšจ๊ณผ ์ •๋„๋ฅผ ์กฐ์‚ฌํ•˜๊ณ , ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๊ฐ€ ์–‘๊ตญ ์ •๋ถ€๊ฐ€ ์ˆ˜ํ–‰ํ•œ ์˜์‚ฌ๊ฒฐ์ • ๊ณผ์ •์˜ ๊ฒฐ๊ณผ์ธ์ง€, ์ธ๊ตฌํ†ต๊ณ„ํ•™์  ํŒจํ„ด, ์˜๋ฃŒ์ œ๋„, ์œ„๊ธฐ ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜ ๊ทธ๋ฆฌ๊ณ  ์ •๋ถ€์— ๋Œ€ํ•œ ์‹ ๋ขฐ ๋“ฑ ๊ตญ๊ฐ€๋ณ„ ์š”์ธ์ด ์–ด๋Š ์ •๋„๋กœ ์˜ํ–ฅ์„ ๋ฏธ์ณค๋Š”์ง€ ๋ถ„์„ํ•˜๋Š” ๊ฒƒ์„ ๋ชฉ์ ์œผ๋กœ ํ•œ๋‹ค.I. Introduction 1 II. Literature Review 4 1. Covid-19: What do we know so far? 4 2. How are other countries tackling the virus worldwide? 6 3. How are societies responding to the crisis? 8 III. Research Design 12 1. Research Questions 12 2. Dependent and Independent Variables 12 3. Theoretical Framework 13 4. Limitations 17 5. Data Sources 17 IV. The Case of Italy 18 1. Background 18 2. The Italian Response: Praise 24 3. The Italian Response: Criticism 26 V. The Case of South Korea 29 1. Background 29 2. The South Korean Response: Praise 30 3. The South Korean Response: Criticism 32 VI. Cross-Country Comparison 34 1. How effective have the two responses been so far? 34 2. What factors determined such outcome? 38 i. Crisis Communication 38 ii. Compliance 40 iii. Trust in government 43 iv. Cultural factors 46 v. Demographic factors 50 vi. Material capacity and information asymmetry 54 vii. Healthcare system 59 VII. Conclusion 63 VIII. References 67์„

    MERS Coronavirus at the Human-Animal Interface

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    The Spatial Allocation of Hospitals With Negative Pressure Isolation Rooms in Korea: Are We Prepared for New Outbreaks?

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    Background: Allocation of adequate healthcare facilities is one of the most important factors that public health policy-makers consider when preparing for infectious disease outbreaks. Negative pressure isolation rooms (NPIRs) are one of the critical resources for control of infectious respiratory diseases, such as the novel coronavirus disease 2019 (COVID-19) outbreak. However, there is insufficient attention to efficient allocation of NPIR-equipped hospitals. Methods: We aim to explore any insufficiency and spatial disparity of NPIRs in South Korea in response to infectious disease outbreaks based on a simple analytic approach. We examined the history of installing NPIRs in South Korea between the severe acute respiratory syndrome (SARS) outbreak in 2003 and the Middle East respiratory syndrome coronavirus (MERS-Cov) in 2015 to evaluate the allocation process and spatial distribution of NPIRs across the country. Then, for two types of infectious diseases (a highly contagious disease like COVID-19 vs. a hospital-based transmission like MERS-Cov), we estimated the level of disparity between NPIR capacity and demand at the sub-regional level in South Korea by applying the two-step floating catchment area (2SFCA) method.Results: Geospatial information system (GIS) mapping reveals a substantial shortage and misallocation of NPIRs, indicating that the Korean government should consider a simple but evidence-based spatial method to identify the areas that need NPIRs most and allocate funds wisely. The 2SFCA method suggests that, despite the recent addition of NPIRs across the country, there should still be more NPIRs regardless of the spread pattern of the disease. It also illustrates high levels of regional disparity in allocation of those facilities in preparation for an infectious disease, due to the lack of evidence-based approach.Conclusion: These findings highlight the importance of evidence-based decision-making processes in allocating public health facilities, as misallocation of facilities could impede the responsiveness of the public health system during an epidemic. This study provides some evidence to be used to allocate the resources for NPIRs, the urgency of which is heightened in the face of rapidly evolving threats from the novel COVID-19 outbreak

    Public Health in Asia during the COVID-19 Pandemic

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    Every nation in Asia has dealt with COVID-19 differently and with varying levels of success in the absence of clear and effective leadership from the WHO. As a result, the WHOโ€™s role in Asia as a global health organization is coming under increasing pressure. As its credibility is slowly being eroded by public displays of incompetence and negligence, it has also become an arena of contestation. Moreover, while the pandemic continues to undermine the future of global health governance as a whole, the highly interdependent economies in Asia have exposed the speed with which pandemics can spread, as intensive regional travel and business connections have caused every area in the region to be hit hard. The migrant labor necessary to sustain globalized economies has been strained and the security of international workers is now more precarious than ever, as millions have been left stranded, seen their entry blocked, or have limited access to health services. This volume provides an accessible framework for the understanding the effects of the COVID-19 pandemic in Asia, with a specific emphasis on global governance in health and labor
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