ಠ_ಠ
剛才看到一篇胡亂解釋數據的廢文
已經有一百多人轉貼分享
因為實在很不想再增加它的點閱率所以不轉貼
如果噗友們有看到某篇
利用這篇
How Does Testing in the U.S. Compare to Other Countr...
約翰霍普金斯大學的數據分析文
砲轟台灣不執行武漢肺炎普篩的文
請直接檢舉
理由下收
ಠ_ಠ
1. 這篇文章重點在說明為何美國做了比其他國家更多的篩檢,卻不能被認為已經有效控制疫情.
The U.S. has conducted more COVID-19 tests than any other country. However, there is no expert consensus on a recommended target for the raw number of tests or even the rate of tests per capita – and the graph above demonstrates why using these statistics alone can be misleading.
ಠ_ಠ
2. 因為,政府如果要辨明新案例以及有效率地回應大規模流行,就應該以感染的規模來規劃檢測配套,而非以人口規模.
In order for governments to identify new cases and effectively respond to the pandemic through tracing and treatment, testing programs should be scaled to the size of their epidemic, not the size of the population.
ಠ_ಠ
3. 一個國家如果測得陽性反應的比率愈高,表示政府對染病者的接觸史及網絡並沒有足夠廣泛地掌握.
A high rate of positive tests indicates a government is only testing the sickest patients who seek out medical attention and is not casting a wide enough net.
ಠ_ಠ
4. 世界衛生組織建議,各國政府至少要連續14天,測得陽性反應的比率低於5%,才可以鬆綁防疫措施.
The WHO has issued guidance stating that governments should see positivity rates below 5% for at least 14 days before relaxing social distancing measures.
ಠ_ಠ
台灣截至2020.06.28
平均每日測得陽性反應率為0.43%
ಠ_ಠ
以上說明如果有噗友想補充或糾正的話
非常歡迎
rat1262
這種廢文誰會想看 死老百姓連第一句話都看不下去
gnu3693
謝謝噗主
hippo5556
rat1262: 所以噗主才補了翻譯版,這篇文比起看更大的作用是當作客觀數據的證明
載入新的回覆