664 research outputs found

    ์•ผ์ƒ๋™๋ฌผ ๊ด€๋ฆฌ๋ฅผ ์œ„ํ•œ ํ–‰๋™ ์ƒํƒœ์™€ ํšจ์œจ์  ๋ฐฑ์‹  ์ ์šฉ

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ˆ˜์˜๊ณผ๋Œ€ํ•™ ์ˆ˜์˜ํ•™๊ณผ, 2021. 2. ์ฑ„์ค€์„.์ตœ๊ทผ ์ธ๊ฐ„, ๋™๋ฌผ ๋ฐ ์ƒํƒœ๊ณ„์˜ ํ†ตํ•ฉ์  ๊ฑด๊ฐ•๊ณผ ์ง€์† ๊ฐ€๋Šฅํ•œ ๋ณด์ „์„ ์œ„ํ•œ ์›ํ—ฌ์Šค์˜ ๊ฐœ๋…์ด ์ค‘์š”ํ•˜๊ฒŒ ๋‹ค๋ฃจ์–ด์ง€๊ณ  ์žˆ๋‹ค. ์ด์™€ ๊ฐ™์€ ๊ด€์ ์—์„œ ์ธ๊ฐ„๊ณผ ๋™๋ฌผ๊ฐ„ ์ƒํ˜ธ ๊ท ํ˜•์„ ์œ„ํ•œ ์งˆ๋ณ‘, ์ƒํƒœ ๋ฐ ์ข… ๋ณด์ „์„ ํฌํ•จํ•œ ์ข…ํ•ฉ์ ์ธ ์—ฐ๊ตฌ๊ฐ€ ์š”๊ตฌ๋˜๋Š” ์‹ค์ •์ด๋‹ค. ์ด์— ๋”ฐ๋ผ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์•ผ์ƒ๋™๋ฌผ์˜ ๋ณด์ „๊ณผ ๋งค๊ฐœ์งˆ๋ณ‘ ๊ด€๋ฆฌ๋ฅผ ์œ„ํ•ด ์ˆ˜์˜โ€ข์ƒํƒœํ•™์  ๊ด€์ ์—์„œ ๋ฌผ๋–ผ์ƒˆ๋ฅ˜์˜ ํฌ์‹์ž ๋ฐฉ์–ดํ–‰๋™ ์ „๋žต๊ณผ ๊ตญ๋‚ด์—์„œ ์ ์šฉ์ค‘์ธ ๊ด‘๊ฒฌ๋ณ‘ ๊ฒฝ๊ตฌ๋ฐฑ์‹ , ์ €๋ณ‘์›์„ฑ ์กฐ๋ฅ˜์ธํ”Œ๋ฃจ์—”์ž ๋ฐฑ์‹ ์˜ ์‚ฌ์šฉ ๋ถ„์„ ๋ฐ ํ‰๊ฐ€๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์ฒซ์งธ, ๋™๋ฌผ์˜ ํ–‰๋™์€ ์œ ์ „์ž์™€ ํ™˜๊ฒฝ์  ์ธ์ž์˜ ๊ฒฐ๊ณผ๋ฌผ์ด๋ฉฐ ์ข…์˜ ํ•ต์‹ฌ์ ์ธ ํŠน์ง•์„ ๋‚˜ํƒ€๋ƒ„์œผ๋กœ์จ ๊ฐœ์ฒด๊ตฐ ๋ณด์ „ ๋ฐ ๊ด€๋ฆฌ์— ๊ฐ€์žฅ ์œ ์šฉํ•œ ๋‹จ์„œ๋ฅผ ์ œ๊ณตํ•œ๋‹ค. ์•ผ์ƒ๋™๋ฌผ์€ ์ƒ์กด๊ณผ ๋ฒˆ์‹์„ ์œ„ํ•œ ๋‹ค์–‘ํ•œ ํฌ์‹์ž ๋ฐฉ์–ดํ–‰๋™์„ ํ•˜๋ฉฐ, ํŠนํžˆ ๋ฌผ๋–ผ์ƒˆ๋ฅ˜๋Š” ๋ฒˆ์‹์ง€์—์„œ ๋‚ ๊ฐœ๊ฐ€ ๋ถ€๋Ÿฌ์ง„ ๋“ฏํ•œ ๊ต๋ž€ํ–‰๋™์„ ํ•˜์—ฌ ๋‘ฅ์ง€์™€ ์œ ์กฐ๋กœ๋ถ€ํ„ฐ ์นจ์ž…์ž๋ฅผ ์œ ์ธํ•˜๋Š” ํŠน์ˆ˜ํ•œ ๋ฐฉ์–ดํ–‰๋™์„ ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด๋Š” ์ง„ํ™”์  ๊ด€์ ์—์„œ ๊ฐœ์ฒด์˜ ์ทจ์•ฝํ•จ์„ ๋“œ๋Ÿฌ๋‚ด๊ณ  ์‹œ๊ฐ„์ด ์ง€๋‚จ์— ๋”ฐ๋ผ ํฌ์‹์ž ์ ์‘ (ํ•™์Šต)๋ฐ ๊ณต๊ฒฉ์„ ์ด‰์ง„์‹œ์ผœ ๊ถ๊ทน์ ์œผ๋กœ ์ž์—ฐ์„ ํƒ ๋ฐ ์ƒ์กด์— ๋ถˆ๋ฆฌํ•  ๊ฒƒ์œผ๋กœ ์—ฌ๊ฒจ์ง„๋‹ค. ์ด์— ๋”ฐ๋ผ ํ•œ๊ตญ์˜ ๊ผฌ๋งˆ๋ฌผ๋–ผ์ƒˆ ๋ฐ ํฐ๋ชฉ๋ฌผ๋–ผ์ƒˆ์—์„œ์˜ ๋ฐฉ์–ดํ–‰๋™ ๋‹จ๊ณ„ ๋ฐ ์นจ์ž…์ž ์ ‘๊ทผ ์‹คํ—˜์„ ํ†ตํ•ด ํ–‰๋™ ์ „๋žต๊ณผ ์˜๋ฏธ๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋ฌผ๋–ผ์ƒˆ๋ฅ˜์˜ ๋ฐฉ์–ด ํ–‰๋™์€ ๋‘ฅ์ง€์ดํƒˆ, ๊ฑท๊ธฐ, ๊นŒ๋‹ฅ๊ฑฐ๋ฆฌ๊ธฐ, ์›€์ธ ๋ฆฌ๊ณ  ๋›ฐ๊ธฐ/์ชผ๊ทธ๋ฆฌ๊ธฐ, ์œ„ํ˜‘ํ–‰๋™, ๊ต๋ž€ํ–‰๋™, ๋‚ ๊ธฐ (๋น„ํ–‰)์˜ ์ด 7๊ฐ€์ง€ ๋‹จ๊ณ„๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ๊ทธ ์ค‘ ์œ„ํ˜‘ํ–‰๋™๊ณผ ๊ต๋ž€ํ–‰๋™์€ ๋‘ ์ข…์˜ ๋ฌผ๋–ผ์ƒˆ์—์„œ ๋ชจ๋‘ ๋‹จ๊ณ„์  ๊ตฌ๋ถ„ ์—†์ด ๋™์‹œ์ ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ฌผ๋ฆฌ์น  ์ˆ˜ ์žˆ๋Š” ์นจ์ž…์ž์ธ ๋ฉ”์ถ”๋ผ๊ธฐ ์ ‘๊ทผ์˜ ๊ฒฝ์šฐ ์œ„ํ˜‘ํ–‰๋™์ด ์šฐ์„ธํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๊ณ , ๊ต๋ž€ํ–‰๋™์€ ๋‚ฎ์€ ๋นˆ๋„๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ๋ฐ˜๋ฉด ๋ฌผ๋ฆฌ์น  ์ˆ˜ ์—†๋Š” ์นจ์ž…์ž (์ฒœ์ )์ธ ํ™ฉ์กฐ๋กฑ์ด ์ ‘๊ทผ์˜ ๊ฒฝ์šฐ ์œ„ํ˜‘ํ–‰๋™์€ ๋น„ํ–‰์„ ํ†ตํ•ด์„œ๋งŒ ๋งค์šฐ ๋“œ๋ฌผ๊ฒŒ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ๊ต๋ž€ํ–‰๋™์€ ๋‚˜ํƒ€๋‚˜์ง€ ์•Š์•˜๋‹ค. ๋˜ํ•œ ์œ„ํ˜‘ํ–‰๋™๊ณผ ๊ต๋ž€ํ–‰๋™์€ ๋ฒˆ์‹ (ํฌ๋ž€) ํ›„๋ฐ˜์œผ๋กœ ๊ฐˆ์ˆ˜๋ก ๋†’์€ ๋นˆ๋„๋กœ ๊ด€์ฐฐ๋˜์—ˆ๋Š”๋ฐ, ์ด๋Š” ์‹œ๊ฐ„์ด ์ง€๋‚จ์— ๋”ฐ๋ผ ๋ฒˆ์‹์— ๋Œ€ํ•œ ํˆฌ์ž๊ฐ€ ์ฆ๊ฐ€๋ ์ˆ˜๋ก ์•Œ ๋˜๋Š” ์œ ์กฐ๋ฅผ ๋ณดํ˜ธํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉ์–ด๋ณธ๋Šฅ์ด ์ƒ์กด๋ณธ๋Šฅ๋ณด๋‹ค ์šฐ์„ธํ•ด์ง€๋Š” ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค. ๋”ฐ๋ผ์„œ ๋ฌผ๋–ผ์ƒˆ๋ฅ˜์˜ ๋ฒˆ์‹์ง€์—์„œ์˜ ๋‹จ๊ณ„์  ํ–‰๋™์ „๋žต ๋ฐ ํŠน์ด์  ๊ต๋ž€ํ–‰๋™์€ ๋ถ€์ƒ์„ ๊ณผ์‹œํ•˜์—ฌ ์นจ์ž…์ž๋ฅผ ์œ ์ธํ•˜๋Š” ๊ฒƒ๋ณด๋‹ค๋Š” ๊ฐœ๋ฐฉํ˜• ๋‘ฅ์ง€์˜ ๋‹จ์ ์„ ๊ทน๋ณตํ•˜๊ธฐ ์œ„ํ•œ, ์œ„ํ˜‘ํ–‰๋™๊ณผ ๊ฐ™์€ ์ง์ ‘์ ์ธ ๋ชฉ์ ์„ ์ง€๋‹Œ ์นจ์ž…์ž์— ๋Œ€ํ•œ ์„ ํƒ์ ์ธ ๋ฐฉ์–ดํ–‰๋™ ์ „๋žต์œผ๋กœ ์‚ฌ๋ฃŒ๋œ๋‹ค. ๋‘˜์งธ, ๊ฒฝ๊ตฌ๋ฐฑ์‹ ์˜ ์•ผ์™ธ ์ ์šฉ์€ ์ „์„ธ๊ณ„์ ์œผ๋กœ ์•ผ์ƒ๋™๋ฌผ ์œ ๋ž˜ ๊ด‘๊ฒฌ๋ณ‘์„ ์ฐจ๋‹จํ•˜๋Š”๋ฐ ํšจ๊ณผ์ ์ธ ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ๋‹ค. ๊ตญ๋‚ด์—์„œ๋Š” 2001๋…„๋ถ€ํ„ฐ ๊ฒฝ๊ตฌ๋ฐฑ์‹ ์ด ์‚ดํฌ๋˜์–ด ์™”์œผ๋‚˜, ํšจ์œจ์  ์‚ดํฌ ๋ฐฉ๋ฒ•์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ๋ถ€์กฑํ•œ ์‹ค์ •์ด๋‹ค. ์ด์— ๋”ฐ๋ผ ๊ฒฝ๊ตฌ๋ฐฑ์‹ ์˜ ์•ผ์™ธ ์ ์šฉ ํšจ์œจ์„ฑ์„ ๊ฐœ์„ ํ•˜๊ธฐ ์œ„ํ•ด ๋ฐฑ์‹  ๋ชฉํ‘œ (๋Œ€์ƒ) ์ข…์˜ ๋ฐฑ์‹  ์ ‘์ด‰๋ฅ ์„ ๊ณ ๋ คํ•œ ๋‹ค์–‘ํ•œ ์•ผ์ƒ๋™๋ฌผ ์„œ์‹ ํ™˜๊ฒฝ์— ๋”ฐ๋ฅธ ํšจ์œจ์ ์ธ ๋ฐฑ์‹  ์‚ดํฌ ์ง€์—ญ์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ด 1,808ํšŒ์˜ ์•ผ์ƒ๋™๋ฌผ์— ์˜ํ•œ ๋ฐฑ์‹  ์ ‘์ด‰ ์ค‘ ๋„ˆ๊ตฌ๋ฆฌ, ๊ฐœ, ๊ณ ์–‘์ด ์„ธ ์ข…์ด ๋ฐฑ์‹  ๋ชฉํ‘œ์ข…์œผ๋กœ์„œ 945ํšŒ (52.2 %)์˜ ์ ‘์ด‰์„ ๋‚˜ํƒ€๋ƒˆ๊ณ , ํ•œ๊ตญ์—์„œ ๊ด‘๊ฒฌ๋ณ‘์˜ ์ฃผ์š” ๋งค๊ฐœ์ฒด๊ฐ€ ๋˜๋Š” ๋„ˆ๊ตฌ๋ฆฌ๊ฐ€ ๊ฐ€์žฅ ๋†’์€ ์ ‘์ด‰๋ฅ  (34.1 %)์„ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ๋˜ํ•œ ๋ฐฑ์‹  ๋ชฉํ‘œ ์ข…๋“ค์€ ํ•˜์ฒœ ์ง€์—ญ๊ณผ ์‹์ƒ์ด ํ’๋ถ€ํ•œ ์ €์ง€๋Œ€์˜ ์‚ฐ์ง€์—์„œ ๋ฐฑ์‹  ์ ‘์ด‰๋ฅ ์ด ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š” ๊ฒƒ์œผ๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ์ „์ฒด ํ‰๊ท  ๋ฐฑ์‹  ์†Œ๋ชจ์œจ์€ 95.2 ยฑ 1.93 % ๋กœ ํ™•์ธ๋˜์—ˆ๊ณ  94.4 % ์˜ ๋ฐฑ์‹  ์‚ดํฌ์ง€์ ์€ 2์ฃผ ์ด๋‚ด์— ์ „๋ถ€ ์†Œ๋ชจ๋˜์–ด ์•ผ์ƒ๋™๋ฌผ์— ๋Œ€ํ•œ ๊ฒฝ๊ตฌ๋ฐฑ์‹ ์˜ ๊ธฐํ˜ธ์„ฑ์ด ๋†’์€ ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค. ๋”ฐ๋ผ์„œ ์‹์ƒ์ด ํ’๋ถ€ํ•œ ์ €์ง€๋Œ€์˜ ์‚ฐ์ง€ ๋˜๋Š” ํ•˜์ฒœ์ง€์—ญ์— ๊ฒฝ๊ตฌ๋ฐฑ์‹ ์„ ์‚ดํฌํ•˜๋Š” ๊ฒƒ์ด ํ•œ๊ตญ์—์„œ์˜ ๊ด‘๊ฒฌ๋ณ‘ ๊ฒฝ๊ตฌ๋ฐฑ์‹  ๋ชฉํ‘œ ์ข…, ํŠนํžˆ ๋„ˆ๊ตฌ๋ฆฌ๋ฅผ ๋Œ€์ƒ์„ ํ•œ ๋ฐฑ์‹  ์ ์šฉ์— ํšจ์œจ์ ์ธ ๊ฒƒ์œผ๋กœ ์‚ฌ๋ฃŒ๋œ๋‹ค. ์…‹์งธ, ๋ฐฑ์‹ ์˜ ์•ผ์™ธ ์ ์šฉ์€ ์•ผ์ƒ๋™๋ฌผ ๋งค๊ฐœ์งˆ๋ณ‘์„ ํ†ต์ œํ•˜๋Š”๋ฐ ๊ฐ€์žฅ ์‹ค์ œ์  ์ˆ˜๋‹จ์œผ๋กœ ํ‰๊ฐ€๋˜๊ณ  ์žˆ๋‹ค. ๊ตญ๋‚ด์—์„œ๋Š” ์ €๋ณ‘์›์„ฑ ์กฐ๋ฅ˜์ธํ”Œ๋ฃจ์—”์ž (H9N2ํ˜•)์˜ ๋ฐœ์ƒ์„ ์ฐจ๋‹จํ•˜๊ธฐ ์œ„ํ•ด 2007๋…„๋ถ€ํ„ฐ ๋ฐฑ์‹ ์„ ์‚ฌ์šฉํ•ด์™”์œผ๋‚˜ ๊ด€๋ จํ•œ ์‚ฌํ›„๊ด€๋ฆฌ ๋ฐ ํ‰๊ฐ€ ์—ฐ๊ตฌ๋Š” ๋ถ€์กฑํ•œ ์‹ค์ •์ด๋‹ค. ์ด์— ๋”ฐ๋ผ ๊ตญ๋‚ด์— ์ ์šฉ๋˜๊ณ  ์žˆ๋Š” ์ €๋ณ‘์›์„ฑ ์กฐ๋ฅ˜์ธํ”Œ๋ฃจ์—”์ž ๋ฐฑ์‹  (H9N2ํ˜•)์˜ 2007 ~ 2017๋…„ ๊ธฐ๊ฐ„ ๋™์•ˆ์˜ ์‚ฌ์šฉ ํ˜„ํ™ฉ๊ณผ ๋ฉด์—ญ์›์„ฑ (์—ญ๊ฐ€)์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ํ•ด๋‹น ๊ธฐ๊ฐ„ ๋™์•ˆ ๋ฐฑ์‹ ์˜ ์ด ํŒ๋งค๋Ÿ‰์€ ์•ฝ671๋ฐฑ๋งŒ์ˆ˜ ๋ถ„์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, 2007๋…„ 10๋ฐฑ๋งŒ์ˆ˜ ๋ถ„์—์„œ 2016๋…„ 93๋ฐฑ๋งŒ์ˆ˜ ๋ถ„์œผ๋กœ ์‚ฌ์šฉ๋Ÿ‰์ด ํฌ๊ฒŒ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ๋‹จ๊ฐ€๋ฐฑ์‹  ๋ณด๋‹ค๋Š” ๋‹ค๊ฐ€๋ฐฑ์‹ ์ด ์‚ฌ์šฉ๋Ÿ‰์˜ 90 %๋ฅผ ์ฐจ์ง€ํ•˜์˜€๊ณ , ์•ฝ 30 %์˜ ๋ฐฑ์‹ ์€ ์ •๋ถ€์— ์˜ํ•ด ๋ฌด์ƒ ๊ณต๊ธ‰๋œ ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ์ง€์—ญ๋ณ„ ์‚ฌ์œก์ˆ˜์ˆ˜์™€ ๋น„๋ก€ํ•˜์—ฌ ๊ฒฝ๊ธฐ๋„, ์ถฉ์ฒญ๋‚จ๋„์—์„œ ๊ฐ๊ฐ ์‚ฐ๋ž€๊ณ„, ์ข…๊ณ„ ๋†๊ฐ€์—์„œ์˜ ๋ฐฑ์‹  ์‚ฌ์šฉ๋ฅ ์ด ๊ฐ€์žฅ ๋†’์•˜๋‹ค. 2009๋…„ ์ด๋ž˜๋กœ H9N2ํ˜•์˜ ์•ผ์™ธ๊ฐ์—ผ์€ ์—†์—ˆ์œผ๋ฉฐ, ํ•ด๋‹น ๊ธฐ๊ฐ„ ๋™์•ˆ ๋ฐฑ์‹  ์‚ฌ์šฉ ๋†๊ฐ€์˜ ์ด ํ‰๊ท  ํ•ญ์ฒด๊ฐ€๋Š” 5.82 log2๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋”ฐ๋ผ์„œ ํ•œ๊ตญ์˜ ์ €๋ณ‘์›์„ฑ ์กฐ๋ฅ˜์ธํ”Œ๋ฃจ์—”์ž ๋ฐฑ์‹ ์€ ์งˆ๋ณ‘ ๋ฐœ์ƒ์„ ๊ฐ์†Œ์‹œ์ผœ ๋น„๊ต์  ์„ฑ๊ณต์ ์œผ๋กœ ์ ์šฉ๋˜๊ณ  ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค. ๋‹ค๋งŒ ํ˜„์žฌ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๋Š” ๋ฐฑ์‹ ์ฃผ๋Š” ์ตœ๊ทผ ์•ผ์™ธ ๋ถ„๋ฆฌ์ฃผ์™€์˜ ์œ ์ „์  ์ƒ๋™์„ฑ์—์„œ ์ฐจ์ด๋ฅผ ๋‚˜ํƒ€๋ƒ„์— ๋”ฐ๋ผ, ํ–ฅํ›„ ์งˆ๋ณ‘ ๊ด€๋ฆฌ๋ฅผ ์œ„ํ•œ ํšจ์œจ์  ๋ฐฑ์‹  ์ ์šฉ์„ ์œ„ํ•ด์„œ๋Š” ์ง€์†์ ์ธ ์œ ์ „์ž ๋ณ€์ด ๊ฐ์‹œ ๋ฐ ์ตœ์‹  ์œ ํ–‰์ฃผ๋กœ์˜ ๋ฐฑ์‹ ์ฃผ ๊ต์ฒด๊ฐ€ ๊ฒ€ํ† ๋˜์–ด์•ผ ํ•  ๊ฒƒ์œผ๋กœ ์‚ฌ๋ฃŒ๋œ๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ, ๋ฌผ๋–ผ์ƒˆ๋ฅ˜์˜ ํŠน์ด์  ๋ฐฉ์–ดํ–‰๋™์€ ์นจ์ž…์ž ์œ ์ธ๋ณด๋‹ค๋Š” ๊ฐœ์ฒด๊ตฐ ๋ณด์ „์„ ์œ„ํ•œ ๊ธฐ๋ณธ์ ์ธ ์ƒ์กด ๋ณธ๋Šฅ์„ ์˜๋ฏธํ•˜๋ฉฐ, ์ข… ๋ณด์ „์„ ์œ„ํ•ด์„œ๋Š” ๋‹ค์–‘ํ•œ ์•ผ์ƒ๋™๋ฌผ ํ–‰๋™ ์ „๋žต ์ดํ•ด๋ฅผ ํ†ตํ•œ ์ธ๊ฐ„์˜ ์นจํ•ด ๋ฐ ๊ต๋ž€์ด ์ตœ์†Œํ™”๋˜์–ด์•ผ ํ•  ๊ฒƒ์ด๋‹ค. ๋˜ํ•œ ๋ฐฑ์‹ ์˜ ์•ผ์™ธ ์ ์šฉ์€ ์•ผ์ƒ๋™๋ฌผ ๋งค๊ฐœ์งˆ๋ณ‘ ๋ฐœ์ƒ์„ ํšจ๊ณผ์ ์œผ๋กœ ๊ฐ์†Œ์‹œ์ผœ ์™”์ง€๋งŒ, ๋ฐฑ์‹ ์˜ ๊ฐœ๋Ÿ‰ ๋ฐ ์ ์šฉ ๋ฐฉ๋ฒ•์˜ ๊ฐœ์„  ๋“ฑ ์ง€์†์ ์ธ ํšจ์œจ์„ฑ ์ œ๊ณ ๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ–ฅํ›„ ํ–‰๋™์„ ํฌํ•จํ•œ ๋‹ค์–‘ํ•œ ๊ด€์ ์—์„œ์˜ ๋™๋ฌผ ์ƒํƒœโ€ข์งˆ๋ณ‘ ์—ฐ๊ตฌ๊ฐ€ ์ˆ˜ํ–‰๋˜์–ด์•ผ ํ•  ๊ฒƒ์ด๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ์•ผ์ƒ๋™๋ฌผ ์ข… ๋ณด์ „ ๋ฐ ์งˆ๋ณ‘ ๊ด€๋ฆฌ์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ์ƒ๊ฐ๋œ๋‹ค.One Health has become an important concept in recent years, with the goal of achieving integrated health outcomes and sustainable conservation considering humans, animals, and ecosystems. A comprehensive framework based on animal ecology disease, and species conservation is necessary for understanding the mutual balance between humans and animals. In this study, field vaccinations against rabies and low pathogenic avian influenza (LPAI) in the Republic of Korea, as well as anti-predator behavior by plovers in breeding grounds were evaluated from veterinary and ecological perspectives. Firstly, animal behavior is the result of genes and environmental factors. It is most important factor in the wildlife conservation and management of populations, because it represents a key characteristic of animals. Animals exhibit a variety of anti-predator behaviors to enhance survival and breeding success. Plovers (Charadrius spp.) exhibit unique anti-predator behavior when breeding by attracting intruders, using a broken-wing distraction display. However, feigning injury is not considered adaptive through natural selection because it encourages predators to attack in response to a weakness display. Furthermore, the effectiveness of this strategy should decline as predators learn and adjust their response over time. Thus, the first study investigated stages of anti-predator behavior and defensive strategy by Little ringed plover (Charadrius dubius) and Long-billed plover (Charadrius placidus) that bred along streams and rivers in the Republic of Korea. Seven stages of anti-predator behavior that were common to plovers: displacement, normal step, head bobbing, crouch run, threat display, distraction display, and flying away. The threat display and distraction display were exhibited at a similar stage in both species, with the level of defensive instinct increasing as the stages escalated. In particular, the threat display was dominant when Japanese quail (Coturnix japonica), i.e., a beatable intruder, approached, whereas the distraction display was used to a lesser extent. In contrast, minimal threat display and no distraction display were used when the Common kestrel (Falco tinnunculus), i.e., an unbeatable intruder, approached. The later period of incubation, it was increasingly used with the threat display and distraction display as the investment cost in breeding increased over time. Therefore, the stepwise anti-predator behavioral strategy and broken-wing distraction display by plovers are selective defensive behavior used as an extreme warning signal to defeat intruders and overcome weakness of the open nest, rather than attract predators. Secondly, the field distribution of the oral rabies vaccine (ORV) is effective in controlling the spread of rabies. In the Republic of Korea, although ORVs have been distributed since 2001, research on efficient distribution methods for the vaccine is insufficient for devising an informed strategy. Thus, the second study aimed to investigate efficient distribution locations based on the environment, contact rate, and consumption by target wildlife species in the Republic of Korea. The target species (Korean raccoon dogs, domestic dogs, and feral cats) accounted for 945 contacts (52.2 %), in total 1,808 contacts. Raccoon dogs (Nyctereutes procyonoides), a main reservoir of rabies in the Republic of Korea, had the highest contact rate (34.1 %) among all species. The contact rate by target species was highest at riparian sites and bushy mountainous vegetation, where raccoon dogs are abundant. Vaccines at 94.4 % of the distribution points were completely consumed within two weeks. The mean consumption rate was 95.2 ยฑ 1.93 % during the overall study period. These findings suggest that the oral rabies vaccine attracts wildlife including domestic dogs and feral cats. Therefore, low sections of mountainous areas with bushy vegetation and/or neighboring riparian areas are rich in target wildlife species (especially raccoon dogs) and are efficient locations for vaccine distribution to control rabies in the Republic of Korea. Lastly, vaccination represents a practical tool for the control of wildlife-borne infectious diseases. The Korean government has permitted the use of a single, inactivated vaccine strain to control H9N2 LPAI outbreaks, since 2007. However, overview of sales volume during whole vaccination periods, immunogenicity of commercial vaccines and variation of infection in field have not been identified yet. Thus, the last study was conducted to monitor sales activity and immunogenicity of commercial H9N2 avian influenza vaccines produced in the Republic of Korea from 2007 to 2017. Recorded sales of H9N2 vaccine were around 671 million doses, with 10 million doses sold in 2007, rising to a peak of 93 million doses in 2016. Multivalent combined vaccines made up around 90 % of all vaccine sales, and around 30 % of all vaccines were distributed by regional governments for free. The regional vaccination rate was the highest in Gyeonggi and Chungnam, respectively with proportional to the population of layer and breeder chickens. There have been no cases of field infection since 2009. The mean antibody titer was 5.82 log2 across the study period. Implementation of the H9N2 vaccination has been successful and reduced the outbreaks of disease in Korea. However, the current vaccine strain used in Korea have shown a difference in genetic homogeneity with recently isolated viruses, suggesting that continuous genetic monitoring of H9N2 viruses circulating in the field and updating the vaccine seed strain periodically are necessary. These results suggest that the unique defensive behaviors of plovers indicate instinct for survival, rather than attract predators. Behavioral strategies of wildlife should inform strategies to minimize human disturbance for species conservation. Additionally, although field vaccination has effectively reduced outbreaks of wildlife-borne diseases, the continuous development of vaccines and efficient vaccination methods are needed. Combined, these analyses emphasize the importance of integrative studies in the areas of animal ecology and disease, including behavioral studies, thereby contributing to disease management and wildlife conservation from the One Health perspective.ABSTRACT i LIST OF TABLES viii LIST OF FIGURES xi LIST OF ABBREVIATIONS xvii GENERAL INTRODUCTION 1 1. The concept of One Health 1 2. Animal behavior and defensive strategies 2 3. Zoonotic diseases and public health 3 4. Rabies and avian influenza 4 5. Disease management and wildlife conservation 6 CHAPTER I. Stages of anti-predator behavior by plover during breeding and the purpose of the distraction display Abstract 12 1. Introduction 15 2. Materials and methods 20 3. Results 26 4. Discussion 33 CHAPTER II. Efficient distribution of oral vaccines examined by infrared triggered camera for advancing the control of raccoon dog rabies in the Republic of Korea Abstract 62 1. Introduction 64 2. Materials and methods 69 3. Results 72 4. Discussion 74 CHAPTER III. Sales and immunogenicity of commercial vaccines to H9N2 low pathogenic avian influenza virus in the Republic of Korea from 2007 to 2017 Abstract 116 1. Introduction 118 2. Materials and methods 122 3. Results 124 4. Discussion 126 GENERAL CONCLUSIONS 141 REFERENCES 145 ABSTRACT IN KOREAN 175Docto

    Utilization Of A Large-Scale Wireless Sensor Network For Intrusion Detection And Border Surveillance

    Get PDF
    To control the border more effectively, countries may deploy a detection system that enables real-time surveillance of border integrity. Events such as border crossings need to be monitored in real time so that any border entries can be noted by border security forces and destinations marked for apprehension. Wireless Sensor Networks (WSNs) are promising for border security surveillance because they enable enforcement teams to monitor events in the physical environment. In this work, probabilistic models have been presented to investigate senor development schemes while considering the environmental factors that affect the sensor performance. Simulation studies have been carried out using the OPNET to verify the theoretical analysis and to find an optimal node deployment scheme that is robust and efficient by incorporating geographical coordination in the design. Measures such as adding camera and range-extended antenna to each node have been investigated to improve the system performance. A prototype WSN based surveillance system has been developed to verify the proposed approach

    Behavioral Responses Of Breeding Ducks To Unmanned Aerial Vehicle Surveys And Best Practices For Breeding Waterfowl Surveys Using Unmanned Aerial Vehicles

    Get PDF
    Unmanned aerial vehicles (UAVs) have become a popular wildlife survey tool. As such, biologists are exploring the use of UAVs for surveying waterfowl. The most cited benefit of using UAVs over traditional methods is the idea of reduced disturbance, but this has had limited formal evaluation across species. We conducted UAV surveys with associated behavioral observations of ducks on wetlands and on nests during the 2019 โ€“ 2020 breeding seasons. We found species-specific behaviors among blue-winged teal (Spatula discors), northern shoveler (Spatula clypeata), and gadwall (Mareca strepera) including ducks noticing the aircraft, but reactions were generally less than traditional ground approaches suggesting that as technology increases efficiencies, UAVs may serve as an alternative tool for surveying breeding ducks

    Perspectives in machine learning for wildlife conservation

    Get PDF
    Data acquisition in animal ecology is rapidly accelerating due to inexpensive and accessible sensors such as smartphones, drones, satellites, audio recorders and bio-logging devices. These new technologies and the data they generate hold great potential for large-scale environmental monitoring and understanding, but are limited by current data processing approaches which are inefficient in how they ingest, digest, and distill data into relevant information. We argue that machine learning, and especially deep learning approaches, can meet this analytic challenge to enhance our understanding, monitoring capacity, and conservation of wildlife species. Incorporating machine learning into ecological workflows could improve inputs for population and behavior models and eventually lead to integrated hybrid modeling tools, with ecological models acting as constraints for machine learning models and the latter providing data-supported insights. In essence, by combining new machine learning approaches with ecological domain knowledge, animal ecologists can capitalize on the abundance of data generated by modern sensor technologies in order to reliably estimate population abundances, study animal behavior and mitigate human/wildlife conflicts. To succeed, this approach will require close collaboration and cross-disciplinary education between the computer science and animal ecology communities in order to ensure the quality of machine learning approaches and train a new generation of data scientists in ecology and conservation

    Space use by passerine birds : a study of territory economics in robins Erithacus rubecula and dippers Cinclus cinclus

    Get PDF
    1. Cost constraints in models of territory size are based on time/activity/laboratory estimates that predict birds using larger territories will incur higher energy costs. The predicted form of the cost constraint may be linear, accelerating or decelerating depending on assumptions inherent in the models. The aim of this study was to assess the reality and form of the cost constraint by making direct measurements of the energy costs of territory use in birds that occupy territories of different size and shape; polygonal territories represented by the robin Erithacus rubecula, and linear by the dipper Cinclus cinclus. Free-living energy expenditure was measured using the doubly-labelled water technique, whilst simultaneously recording patterns of territory use by radio-tracking. 2. Territorial robins concentrated their activity in one or more foraging patches located in bushes. Range polygons containing all the foraging patches used by an individual provided estimates of territory area, and were generally of high eccentricity. A small proportion of robins was classified as non-territorial based on range polygon areas. Furthermore, while territorial robins showed high fidelity to ranges over the short term (days), non-territorial individuals were nomadic. Over the longer term (months), however, some territorial robins showed range drift. Dippers similarly used preferred core regions within ranges, although there was no selection for particular habitat features. 3. Because robins occupied territory polygons which varied from polygonal to highly linear, work was focused on this species to allow intra-specific comparison. Robins tended to commute between foraging patches by flying. It was appropriate, therefore, to describe territories in terms of a number of patches linked by a network of flight paths. This generated two further measures of territory size; the number of patches used and the total flight distance between patches. 4. The robins exploited a renewing food supply. Predictions were tested concerning the temporal scheduling of visits to foraging patches within territories. Patches tended to be separated by flight paths of similar lengths, and were visited in a regular sequence. Although the number of foraging patches used varied, all territories had similar total core areas. Robins using many small foraging patches commuted between patches more often and covered a larger total flight distance during each foraging circuit of the territory. The configurations of foraging patches were used in a highly linear manner. This was true even if the territory containing them was of low eccentricity. 5. Changes in structure and pattern of use varied predictably with territory size, and could be described mathematically. Based on this and published time/activity budgets, a suite of models was developed to predict how energy costs would vary with number of patches used and total flight distance between patches. Models were tested by directly measuring the energy expenditure of robins using different territories. The number of patches used and total flight distance between patches were both significantly correlated with energy expenditure, while territory area was not. One of the models showed a significant fit to the observed data, and suggested that the form of the energy cost constraint on territory size was linear. The effect of territory shape on energy costs was minimal. The implications of these results for models of territory size are discussed. 6. The slope and elevation of the energy cost constraint varied with the morphology of territory occupants. Based on this, an association of morphology with territory size was predicted; robins of lower mass and wing-loading using larger territories. The observed data supported these predictions, and suggested a possible genetic predisposition to particular patterns of territory occupancy in the robin

    The avian dawn chorus across Great Britain: using new technology to study breeding bird song

    Get PDF
    The avian dawn chorus is a period of high song output performed daily around sunrise during the breeding season. Singing at dawn is of such significance to birds that they remain motivated to do so amid the noise of numerous others. Yet, we still do not fully understand why the dawn chorus exists. Technological advances in recording equipment, data storage and sound analysis tools now enable collection and scrutiny of large acoustic datasets, encouraging research on sound-producing organisms and promoting โ€˜the soundscapeโ€™ as an indicator of ecosystem health. Using an unrivalled dataset of dawn chorus recordings collected during this thesis, I explore the chorus throughout Great Britain with the prospect of furthering our understanding and appreciation of this daily event. I first evaluate the performance of four automated signal recognition tools (โ€˜recognisersโ€™) when identifying the singing events of target species during the dawn chorus, and devise a new ensemble approach that improves detection of singing events significantly over each of the recognisers in isolation. I then examine daily variation in the timing and peak of the chorus across the country in response to minimum overnight temperature. I conclude that cooler temperatures result in later chorus onset and peak the following dawn, but that the magnitude of this effect is greater at higher latitude sites with cooler and less variable overnight temperature regimes. Next, I present evidence of competition for acoustic space during the dawn chorus between migratory and resident species possessing similar song traits, and infer that this may lead either to fine-scale temporal partitioning of song, such that each competitor maintains optimal output, or to one competitor yielding. Finally, I investigate day-to-day attenuation of song during the leaf-out period from budburst through to full-leaf in woodland trees, and establish the potential for climate-driven advances in leaf-out phenology to attenuate song if seasonal singing activity in birds has not advanced to the same degree. I find that gradual attenuation of sound through the leaf-out process is dependent on the height of the receiver, and surmise that current advances in leaf-out phenology are unlikely to have undue effect on song propagation. This project illustrates the advantage of applying new technology to ecological studies of complex acoustic environments, and highlights areas in need of improvement, which is essential if we are to comprehend and preserve our natural soundscapes

    Hunting the hunters:Wildlife Monitoring System

    Get PDF

    Integrating Technologies for Scalable Ecology and Conservation

    Get PDF
    Integration of multiple technologies greatly increases the spatial and temporal scales over which ecological patterns and processes can be studied, and threats to protected ecosystems can be identified and mitigated. A range of technology options relevant to ecologists and conservation practitioners are described, including ways they can be linked to increase the dimensionality of data collection efforts. Remote sensing, ground-based, and data fusion technologies are broadly discussed in the context of ecological research and conservation efforts. Examples of technology integration across all of these domains are provided for large-scale protected area management and investigation of ecological dynamics. Most technologies are low-cost or open-source, and when deployed can reach economies of scale that reduce per-area costs dramatically. The large-scale, long-term data collection efforts presented here can generate new spatio-temporal understanding of threats faced by natural ecosystems and endangered species, leading to more effective conservation strategies

    Gyrfalcon Breeding Biology In Alaska

    Get PDF
    Thesis (Ph.D.) University of Alaska Fairbanks, 2010This dissertation addresses specific research needs identified by a panel of experts on Gyrfalcon biology and conservation convened on 3 September, 2003 at the Raptor Research Foundation Scientific Conference in Anchorage, Alaska. The first chapter is a significant update and revision of the 1994 Gyrfalcon Birds of North America (BNA) species account, using all published papers and available grey literature from 1994--2007 and personal expertise from over 3,000 hours of coordinated observations. The second chapter reports results from a spatially explicit model, based on the best available compiled data from Alaska, that predicted Gyrfalcon breeding distribution and population size across Alaska. The model predicted that 75% and 7% of the state had a relative index of nest occurrence of 60%, respectively. Areas of high predicted occurrence primarily occurred in northern and western Alaska. Using environmental variables, the model estimated the size of the breeding Gyrfalcon population in Alaska is 546 +/- 180 pairs. In Chapter 3, I used repeated aerial surveys to estimate detection probabilities of cliff-nesting raptors from fixed-wing aircrafts and helicopters. Detection probabilities ranged from 0.79--0.10 and varied by species, observer experience, and study area/aircraft type. Generally, Gyrfalcons had the highest detection probability, followed by Golden Eagles, Common Ravens, and Rough-legged Hawks, though the exact pattern varied by study area and survey platform. In the final chapter, I described for the first time in North America Gyrfalcon nest site fidelity, breeding dispersal, and natal dispersal using molted feathers as non-invasive genetic tags. Gyrfalcons were highly faithful to study areas (100% fidelity) and breeding territories (98% fidelity), but not to specific nest sites (22% fidelity). Breeding dispersal distance averaged 750 +/- 870 m, and was similar between sexes. Natal dispersal of three nestlings representing 2.5% recruitment varied from 0--254 km. Mean territory tenure was 2.8 +/- 1.4 yrs and displayed a bimodal distribution with peaks at 1 and 4 years. Mean annual turnover at one study site was 20%. Gyrfalcons in one study area exhibited low, but significant population differentiation from the other two study areas
    • โ€ฆ
    corecore