Discover and read the best of Twitter Threads about #天下
Most recents (3)
TODAY’S (6月21日) #COVID19 update for #Taiwan 🇹🇼
📉75 local + 0 imported cases 📉trend
📉20 deaths 📈trend
📈0.6% test positive rate
📈4.2% case fatality rate (CFR) since May 1
🧪13k tests ⤵️capacity
⚠️It's Monday. Numbers of tests and their positive rates are key metrics. ⬇️ 1/6
📉75 local + 0 imported cases 📉trend
📉20 deaths 📈trend
📈0.6% test positive rate
📈4.2% case fatality rate (CFR) since May 1
🧪13k tests ⤵️capacity
⚠️It's Monday. Numbers of tests and their positive rates are key metrics. ⬇️ 1/6
DAILY CASES REPORTED (pink bars) and their 7-DAY AVERAGE (pink line), where each day is the mean of itself and the previous six. DEATHS (crimson red bars) at the bottom. THRILLED to have room for the chart legend specifically in the top right quadrant! 2/6
AGE DISTRIBUTION OF CASES. Local cases from May 1-June 20 (age data for cases lag by a day), including those with missing locations. Only a single category is provided for ages >70, which constitute 14% of all cases. DATA ➡️ data.cdc.gov.tw/en/dataset/ags… 3/6
今天在 🇹🇼 #天下 @CWM_en 雜誌已刊出： "台灣抗疫成就 遠距工作、創新檢測成關鍵 "。 我與 @cptwei 寫了一篇有關建議 #Taiwan 對抗升 #COVID19 疫情的文章，主要是落實遠距工作、新的科學性篩檢方式。所有工作性質可以遠距辦公的員工，都必須改為遠距工作。重點如下 ⬇️ 1/6 opinion.cw.com.tw/blog/profile/5…
當前的台灣可說是提供了病毒滋養的溫床 — 尤其SARS-CoV-2 #Alpha (B.1.1.7)。依賴症狀的檢疫措施將會漏掉至少 50% 的病毒感染者。新型冠狀病毒會懸浮在空氣中並隨時間經過充斥整個房間。像辦公室這種通風不良的空調環境尤其危險。2/6
非必要地進公司辦公，會增加原可避免的傳染機會。特別是工作上的接觸通常是（應雇主要求）而非自願地，從四面八方聚集大量人群，並且持續相當長一段時間。應為社區人流居高不下。因此增加遠距辦公，我們確信 是控制這波爆發非常關鍵的政策。3/6
TODAY’S (6月18日) #COVID19 update for #Taiwan 🇹🇼
📈187 local + 1 imported cases 📉trend
📈21 deaths 📉trend
📉0.4% test positive rate
📈3.9% case fatality rate (CFR) since May 1
🧪42k tests 📈capacity
💡Good to see a record high tests (42.2k) and record low positivity (0.4%). 1/6
📈187 local + 1 imported cases 📉trend
📈21 deaths 📉trend
📉0.4% test positive rate
📈3.9% case fatality rate (CFR) since May 1
🧪42k tests 📈capacity
💡Good to see a record high tests (42.2k) and record low positivity (0.4%). 1/6
DAILY CASES REPORTED (pink bars) and their 7-DAY AVERAGE (pink line), where each day is the mean of itself and the previous six. DEATHS (crimson red bars) are seen at the bottom.
DEATHS AGE DISTRIBUTION for May 1-June 18:
🔴64% are ≥70
🔴26% are 60-69
🔴10% are 30-59 years
2/6
DEATHS AGE DISTRIBUTION for May 1-June 18:
🔴64% are ≥70
🔴26% are 60-69
🔴10% are 30-59 years
2/6
AGE DISTRIBUTION OF CASES. Local cases from May 1-June 17 (age data for cases lag by a day), including those with missing locations. Only a single category is provided for ages >70, which constitute 14% of all cases.
DATA ➡️ data.cdc.gov.tw/en/dataset/ags… 3/6
DATA ➡️ data.cdc.gov.tw/en/dataset/ags… 3/6
