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Please stop creating and spreading panic

时间:2020-5-3 21:37 6 3462 | 复制链接 |

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本帖最后由 jackiszhp 于 2020-5-3 21:54 编辑

Dear Sir/Madam,

In my article(https://www.flw.ph/thread-967305-1-1.html), I estimated roughly that IFR(what is probability a person will die if the person get infected) for Covid-19 is 0.6% in New York City(we knew the death counts 11267 by April 23, 2020, and we knew roughly the percentage of infected people is 21%, and we knew the
population is 8,398,748), so I could calculate IFR.

#1. now, CFR data is more readily available and more reliable
(https://en.wikipedia.org/wiki/Coronavirus_disease_2019#Prognosis), though the website of Philippines' Health Department
(https://www.doh.gov.ph/covid19tracker) still does not present data in such a way.  Attached is the CFR table created by me, I collected data from government's websites. Its 2nd last line is of IFR, and last column is of IFR.

#2. This news (https://www.reuters.com/article/us-health-coronavirus-prisons-testing-in/in-four-u-s-state-prisons-nearly-3300-inmates-test-positive-for-coronavirus-96-without-symptoms-idUSKCN2270RX
) reports that about 96% of infected people do not have symptoms, they even did not know they had been infected. So roughly speaking, only part of the rest (4%) went to the medical system to seek for service,
and hence became part of the CFR data reported to all government agencies.

Be noted that CRF is almost always higher than IFR as for Covid-19, about 96% of infected people did not go to the medical system.

With CFR data, and 96%, we can estimate IFR (=CFR*4%), That's the last line in the attached table. We can see that IFR for Sweden is about 0.4%, for Philippine and New York City is about 0.3%.

The IFR data for influenza in the table (the last column) is from
https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf. They have already been underestimated since the denominator for them are 100K population, rather than the total number of infected people for each age group.

Is Covid-19 severe? Yes, about 15 times severe compared to Influenza. Overall, I would say it is OK to get infected with Covid-19 since the overall IFR is 0.3% in Philippines while flu is 0.017% (previously I
heard chief epidemiologist of US CDC Fouci said 0.1%).

The CFR table seems to suggest that only the elderly and the frail should be isolated from the rest. If they get infected, they might die with higher probabilities. But for healthy young, it is OK to get
infected and get over. So please stop creating panic and spreading panic.

Let's tell people that it is OK to get infected with Covid-19 if you are healthy and if you are young, though you should keep distance from old people such as your grandparents and from anyone who is sick. And
if you are still scared, you always have the right to isolate yourself from the rest of the society.

Thank you for reading.
compare.0503.png



6回复

NOa7ao 发表于 2020-5-4 11:58 | 显示全部楼层 | 举报 来自: 菲律宾
如圖,根據 world meter: https://www.worldometers.info/coronavirus/country/us/
時間是5/4
總case是: 323,883人,總死亡是: 24,648人,死亡約是7.61%,與您的0.6%相去甚遠,或許是因為你忽略了紐約裡面有大量的外來人口不記入紐約人口數,用人口數*感染率 似乎有點容易發生錯誤

結論:  紐約真的慘,多慘? 確診率1.65% 確診死亡率7.61%    一千個人死1.256人
就是那麼慘

以上



Qwertt 发表于 2020-5-4 12:01 | 显示全部楼层 | 举报 来自: 菲律宾
cut your bullshit and expose urself to the virus first. support your ridiculous theory with your own positive test result.
jackiszhp 发表于 2020-5-6 11:23 | 显示全部楼层 | 举报 来自: 菲律宾
本帖最后由 jackiszhp 于 2020-5-6 11:54 编辑
NOa7ao 发表于 2020-5-4 11:58
如圖,根據 world meter: https://www.worldometers.info/coronavirus/country/us/
時間是5/4
總case是: 32 ...

你说的没有错,纽约的CFR=7.6%。请看我做的表格,瑞典的CFR=12%,菲律宾的CFR=7%,虽然日本的CFR=2%。
IFR是估计的。你要搞明白CFR与IFR在概念上的区别。
然后才会去寻找相关的信息对IFR做估计。
美国感冒的那一列数据是IFR,是已经低估了的IFR。

>確診率1.65% 確診死亡率7.61%    一千個人死1.256人
确诊率数据,我一直没有关注。
如果假设这个确诊率数据是可靠的,那么1.65% * 7.61% = 0.1256% 这个就是大体上就是IFR。 也就是说一个人感染后病死的概率。这个数比我估计的0.6%要低呀。
如果你的确诊率是可靠的,那么这个新冠病毒的严重程度就是感冒的  0.1256%/0.017%=7.3倍 (感冒的已经低估的IFR=0.017%,很多人错误的把感冒的病死率说成是0.1%。这么说的包括美国CDC的首席专家Fouci)。
欢迎指教。
另外请问,你是从哪里找到这个确诊率的?我没有找到。


jackiszhp 发表于 2020-5-6 11:32 | 显示全部楼层 | 举报 来自: 菲律宾
Qwertt 发表于 2020-5-4 12:01
cut your bullshit and expose urself to the virus first. support your ridiculous theory with your own ...

This guy is very active, he has been objecting what I post for some times. However, I do not see any logic inside what he said.

Anyway, it is nice to see this guy acts actively.
NOa7ao 发表于 2020-5-6 13:38 | 显示全部楼层 | 举报 来自: 菲律宾
jackiszhp 发表于 2020-5-6 11:23
你说的没有错,纽约的CFR=7.6%。请看我做的表格,瑞典的CFR=12%,菲律宾的CFR=7%,虽然日本的CFR=2%。
IFR ...

好喔,我先確認下CFR 與 IFR
但是把確診率*確診死亡率?? 是什麼意思呢? 為什麼要這樣子,確診死亡率就是感染後病死的機率不是嗎?
還是你認為分母應該是確診案例+還未確診的感染者
分子是確診死亡呢?


另外確診數字可以使用這個網址:https://www.worldometers.info/coronavirus/country/us/
jackiszhp 发表于 2020-5-6 14:31 | 显示全部楼层 | 举报 来自: 菲律宾
本帖最后由 jackiszhp 于 2020-5-6 14:54 编辑
NOa7ao 发表于 2020-5-6 13:38
好喔,我先確認下CFR 與 IFR
但是把確診率*確診死亡率?? 是什麼意思呢? 為什麼要這樣子,確診死亡率就是 ...

我想你已经搞明白了
CFR是医疗系统统计的病死率,是医疗系统的统计数据 ,  病死的总人数/被感染的总人数  
这个分母里的“被感染的总人数”是医疗系统里统计的。

IFR = 病死的总人数/被感染的总人数   
这里的分子分母都是实际的人数,而不只是医疗系统统计的数据。 这里的分母就是你说的“分母應該是確診案例+還未確診的感染者


以这个新冠病毒为例子,我的文中提到美国的4个监狱里检测的情况,有96%的人被感染都好了,但是他们都没有症状,他们自己都不知道被感染了,所以他们就没有去医疗系统寻求服务。

>確診率*確診死亡率?? 是什麼意思呢?
我是做非常粗略的估计,估计IFR。
我就瞎想 确诊率 能够反映“总人口中被感染的比率”,也能够反映 “参与测试人数占总人口的比率”。不好意思,我没有说清楚,当然我的瞎想也未必成立。


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