疑問?盛行率的高低不是篩出來的嗎?

最近幾天看到一個名詞很常出現
盛行率
可是,盛行率這種數據,不就是篩出來的
不篩,盛行率不就都很低?
既然盛行率很低
為何雙北為何會篩到那麼多的確診者?
非常矛盾啊
menglingli wrote:
最近幾天看到一個名詞(恕刪)


我也是有疑問,但是我自認比較聰明的文組會去參考別人的優點

沒有學過檢驗學但是會用估狗大神

看了一下澳洲的檢驗方法,簡單解讀就是先篩出一區內陽性率是否偏高
如果地區樣本陽性率偏高再單獨測試(有錯請指正)

澳洲現在確診個位數,還是每日5萬人普篩(應該算樣本合併測試)
他們是笨蛋還是中共同路人嗎?




澳洲去年的研究文章
=============================================
https://www.sydney.edu.au/business/news-and-events/news/2020/08/03/pooled-testing-to-help-australia-tackle-the-second-wave-of-covid.html

“熱點”內對本地人口進行廣泛的測試可以確保在感染其他人之前對其進行識別和隔離。但是,執行如此多的測試也超出了澳大利亞的預算和測試能力。解決此問題的方法是合併測試

顧名思義,合併測試是將一組樣本合併在一起以僅運行一個測試[3]。例如,每週每條街道上的所有家庭都可以收集自己的唾液樣本[4],將這些樣本郵寄到測試中心或將其存放在測試箱中(已經用於篩查程序(如腸癌篩查)的方法)。然後,實驗室將來自一個家庭,一條街道甚至一個郊區的所有唾液樣本組合在一起,形成一個樣本進行測試。這樣,所需的測試數量可以減少10倍或更多。

在疾病患病率低(特定時間人群中的病例數)低的地方,進行合併測試是有意義的。如果疾病患病率很高,則大多數分組樣本將為陽性,這需要對該組中所有個體進行單獨測試-使合併測試無用,以減少測試數量。

Extensive testing of the local population within a “hotspot” can ensure that infected people are identified and quarantined before they infect others. However, it is also beyond Australia’s budget and testing capacity to perform so many tests. A solution to this problem is pooled testing.

Pooled testing, as the name suggests, is the pooling together of a group of samples to run only one test[3]. For example, every week all households in one street could collect their own samples of saliva[4], mail those samples to a testing centre or deposit them in a testing bin (methods already in use for screening programs such as Bowel Cancer screening). The lab then combines together all the saliva samples from one household, or one street, or even one suburb, into a single sample for testing. In this way the number of tests required can be reduced by a factor of 10 or more.

Pooled testing makes sense where the disease prevalence (number of cases in a population at a given time) is low. If the disease prevalence is high, then most of the grouped samples will be positive, which then requires individual testing of all the individuals in that group – rendering pooled testing a useless exercise to reduce test numbers.
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