【中国武漢肺炎-無了期】全球疫情討論區07

4506 回覆
22 Like 4 Dislike
2020-05-06 19:22:47
272 new cases and 323 new deaths in Belgium: 229 additional hospital deaths reported between March 24 and May 4 were retroactively added

Coronavirus Cases: 50,781
Deaths: 8,339
Recovered: 12,731
2020-05-06 19:29:27
https://youtu.be/LVrTOUQAwVg

呢隻咩嚟 40年前日本人開發嘅舊藥有效?
2020-05-06 19:31:22
咁樣諗野

我係瑞典就join NATO 保護國家安全
2020-05-06 19:36:26
美國同日落國已經準備解封
2020-05-06 19:41:30
你既方法仲痴線過去抗議封城既人
引用柯文哲既說話(唔鐘意佢,不過有D野佢係幾岩聽)
依加係睇其他國家承受到幾多人感染而唔太影響個經濟,將經濟同抗疫放係個天秤上面拎個平衡


過多既治療=/=最好既治療
經濟行到最極端=巴西
抗疫行到最極端=菲律賓,北韓 (火藥治療同陰陽隔離)
2020-05-06 19:44:14
Please do not over-estimate the statistical approach you used.

1. The statistical approach has no skill. Here, the word "skill" is in the language of say, weather forecast. This is because the hidden assumption of the statistical approach assumes that there are no underlying changes. However, the current situation is still very new and a lot of factors are changing. For example, if you apply this approach to USA, you will draw the conclusion USA has passed the peak and begins to improve. On the other hand, you may know that Americans are talking about 3,000 death on 1 June which will be much worse than now and the past. The reason is that they use a model to calculate the effect of a major change, namely, the re-opening of the country. The statistical approach you used cannot take into account the changes in the future. A good model (such a GCM for weather and climate prediction) has skill and can be much better than any statistical approach.

2. Even within the statistical approach, your graph is NOT up to current standard. You might have heard about big data. The big data science is now millions miles ahead of the simple statistical approach you used. If you do this as a student project, then you can go ahead and spend a lot of effort to make a good project. Otherwise, it is not worth to spend too much time on your graphs. Informed people (including me) are not willing to spend much time to read your graphs.
2020-05-06 19:44:28
治療後果仲嚴重過隻病本身

都仲未計犧牲咗嘅自由同自願交俾政府嘅公權力
都唔知幾時拎得返
2020-05-06 19:44:46
美國有D州照常理係應該解封, 但係要睇下佢做唔做到tracking再isolate 行類似南韓同台灣個套
同埋有D州係reopen左 好似texas呢D 都開番部份行業




而日落國就算把啦
2020-05-06 20:31:17
無限QE最後咪過度通漲窮人仆街囉
根本唔會有國家同你封1~2年
你用最極端既方法去防疫咁倒不如全球行共產主義
隱形病人你用番隔離密切接觸者,戴口罩同社交距離就已經夠做
至於點解隱型病人可以用戴口罩同社交距離解決
針對無症狀感染者,張上淳稱,因為沒辦法知道患者在哪個時間點有病毒,只能說「確診時病毒量都蠻高的」,當時就認為無症狀是有傳染力的,隨著國外資料和研究證明,「無症狀有很大的機會會傳染給別人」;但他也提到,因為無症狀不會有咳嗽和打噴嚏等症狀,所以病毒量會是比較小的。


張上淳說,如果生病者跟健康者都沒戴口罩,確實很容易把呼吸道疾病傳到健康人身上,但健康的人有戴口罩,吸到飛沫就會大幅減少,也許可減少7至8成。生病的人若戴口罩,正面噴出去的飛沫也可能會減少8、9成。

以此估算,當兩方都有戴口罩,張上淳說,正面交談情況下,僅有1%至2%機會會傳染,但沒有明確科學數據佐證。不過,醫院人員經驗也發現,醫護都有戴外科口罩,就能減少傳染機會。
2020-05-06 20:49:23
2020-05-06 20:53:43
佢用咗香港嗰套apply落去其他國家

香港人每個人有積蓄所以因為lockdown失晒業後,就算政府派得幾千蚊都唔會怨因為有谷種食

外國人得好少人有儲蓄
好多都有personal loan/ 卡數(佢地好多人卡數唔會月月清,一直俾緊貴利息)
一無工返真係仆街
對好多人嚟講真係份工緊要到仆街


同埋無啦啦有個病後
政府權力一下擴張
所有侵犯私隱個人自由嘅嘢都做晒出嚟
人地唔會覺得係疫情底下代表要我犧牲自己嘅人身自由田

即係佢地可以為自身同他人自由權益甚至環保咁risk份工去捍衛
去罷工
但如果係政府搞到佢地無工返真係會躁機
唔係好多政府派錢嘅話
根本連lockdown都做唔到
因為實出嚟反
2020-05-06 20:59:41
全世界得美國可以因為係全世界同佢埋頭
已經講過無症狀冇咳冇流鼻水戴口罩點傳染
成日係到怕無症狀傳染,照你咁講香港神早淪陷左啦
2020-05-06 21:01:04
接觸傳染
2020-05-06 21:01:38
其實由支那封唔住開始已經注定咗隻病毒會全球大流行幾年甚至幾十年

長久封關封城根本全世界都頂唔順
成個人類文明社會都會collapse

去到最後疫苗特效藥出到就好
叫有得醫

出唔到就變咗流感季咁
只不過死亡率高d
最後人類短暫十幾廿年嘅平均壽命下降
到最後死淨嘅人基因體質對隻病毒嘅反應無咁大時
就會重新長命過

短期唯一減慢平均壽命下降嘅方法就係大幅增建icu 增產呼吸機 增加培訓醫護
但會用好多社會資源

而家仲諗住全世界0 case根本不設實際
2020-05-06 21:01:49
你戴左口罩D口水鼻涕飛去邊
2020-05-06 21:02:37
Sor 眼殘
2020-05-06 21:05:32
Saudi Arabia +1687 cases & 9 deaths - - > 31938 cases & 209 deaths

Spain + 3121 cases & 244 deaths - - > 253682 cases & 25857 deaths
2020-05-06 21:11:47
Bangladesh +790 cases & 3 deaths - - > 11719 cases & 186 deaths

Belarus +905 cases & 5 deaths - - > 19255 cases & 112 deaths

Qatar + 830 cases - - > 17972 cases

Sweden +702 cases & 87 deaths- - > 23918 cases & 2941 deaths
2020-05-06 21:12:57
係怕佢突變變到高死亡率,好似西班牙流感由10%到接近30%

不過發達國家守住都無用,發展中國家一大堆,無可能長封邊境
2020-05-06 21:16:21
同中俄合作
咁同執隻老鼠落米缸有乜區別
安逸日子過太耐
2020-05-06 21:16:40
Equatorial Guinea +124 cases & 1 death - - > 439 cases & 4 deaths
吹水台自選台熱 門最 新手機台時事台政事台World體育台娛樂台動漫台Apps台遊戲台影視台講故台健康台感情台家庭台潮流台美容台上班台財經台房屋台飲食台旅遊台學術台校園台汽車台音樂台創意台硬件台電器台攝影台玩具台寵物台軟件台活動台電訊台直播台站務台黑 洞