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Topics - gsgs

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16
genetics / spike-mutations
« on: December 22, 2020, 12:42:56 pm »
Code: [Select]

  29,  26,   1,C21575T,   L5F,               
 937, 435,  36,C21614T,  L18F,20A.EU1=B.1.177
   9,  10,   0,C21627T,  T22I,               
  31,  11,   0,A21631T,  Q23H,               
  41,  17,   7,C21637T,      ,               
   6,   7,   0,C21638T,  P26S,               
   2,   6,   0,C21727T,      ,               
  30,   6,   5,G21800T,  D80Y,               
   9,  10,   0,C21855T,  S98F,               
   0,   6,   0,C22000T,      ,               
   2,   6,   0,T22016A, W152R,               
  81,   6,   0,G22051T,      ,               
  15,   6,   8,A22053C, N164T,               
   7,   8,   3,C22075T,      ,               
  18,   7,   0,C22088T, L176F,               
   7,   9,   3,G22131T, R190M,               
  15,  19,   0,G22205C, D215H,               
  16,  11,   0,C22224T, S221L,               
1584, 908,  73,C22227T, A222V,20A.EU1=B.1.177
  13,  10,   0,C22329T, S256L,               
  58,  52,   3,G22346T, A262S,        B.1.177
  39,  39,   0,C22377T, P272L,               
  20,  13,   1,C22388T,      ,               
   0,  19,   0,C22432T,      ,               
  63,  47,   2,C22444T,      ,         B.1.36
   1,   8,   0,C22530T, T323I,               
   1,   7,   1,A22546G,      ,               
  36,  33,   3,C22879A, N439K,          B.1.5
   2,  13,   1,G22918T,      ,               
  43,  16,   0,G22992A, S477N,               
   6,  10,   0,T23042C, S494P,               
 423, 880,  12,A23063T, N501Y,        B.1.1.7
 406, 885,  14,C23271A, A570D,        B.1.1.7
  42,  25,   4,G23311C, E583D,               
   6,  19,   3,T23323C,      ,               
   9,   6,   0,G23401T, Q613H,               
2344,2015, 104,A23403G, D614G,               
 409, 889,  14,C23604A, P681H,        B.1.1.7
   1,   6,   0,G23608T,      ,               
  12,  10,   0,C23625T, A688V,               
  28,  24,   0,C23644T,      ,               
  11,  11,   0,C23679T, A706V,               
 407, 883,  14,C23709T, T716I,        B.1.1.7
   0,   6,   0,T23866C,      ,               
   5,  14,   1,G23873T, A771S,               
  21,  10,   0,T24088C,      ,               
  19,  35,   1,C24106T,      ,               
   1,   6,   0,C24130T,      ,               
   1,   6,   0,C24138A, T859N,               
   4,   9,   0,C24138T, T859I,               
 347, 235,  16,C24334T,      ,               
   7,  15,   0,C24378T, S939F,               
  32,   9,   0,C24382T,      ,               
 406, 885,  14,T24506G, S982A,        B.1.1.7
  11,   8,   0,G24620T,A1020S,               
  14,  10,   0,T24769C,      ,               
   3,   8,   0,G24781T,K1073N,               
  30,  19,   1,T24910C,      ,               
 406, 887,  14,G24914C,D1118H,        B.1.1.7
   1,   8,   1,T24979C,      ,               
   4,   6,   0,C25000T,      ,               
   2,   7,   0,G25049K,      ,               
  45,  71,   0,G25049T,D1163Y,        B.1.177
  46,  76,   0,G25062T,G1167V,        B.1.177
  12,  14,   0,C25096T,      ,               
   4,  14,   1,C25349A,P1263T,       
-----------------------------------------------------
2345,2027,0104,total genomes     
0049,0050,0051,week         



frequency of spike-mutations in 133277 full genomes
in week 50 from cogconsortium , 2020/12/22


831,45416,151499


checking for the new strain B.1.1.7 = VUI202012/01 = VOC2020

prevalence in UK : http://magictour.free.fr/b117a.GIF

2020/12/08 , genbank=5/44708 , UK=1203(1050)/131631
2020/12/15 , DE=0/747 , UK=1289/133960
2020/12/17 , DE=0/764 , UK=141600 new strain-names
2020/12/20 , UK=2100/146416
2020/12/21 , DE=0/834,UK=3042/150173
2020/12/22 , DE=834,genbank=,UK=3063/150399
2020/12/23 , DE=0/831,genbank=45416,UK=3094/151499,RKI:0/1742



I downloaded the 133277 aligned sequences from cogconsortium (3.9GB)
and processed/converted them into a better format :
http://magictour.free.fr/sars2uk8.7z (2MB)
this takes many hours each day for me , because of the big files.
Is someone else doing this ?

Can we coordinate, exchange the processed/improved data ?

-------------------------------------------

viruses with many spike-amino-acid mutations :

genbank, USA,CA : S13I,C136G,W152C,L452R
UK, B.1.1.7 , B.1.258 , B.1.37 , B.1.315 , B.1.177 ,  B.1.160 , B.1.5 ,  B.1.351 (SA)

file spisur.12a :  sequences with >=5? spike-amino-acid-mutations (2020/12/28)

Code: [Select]

    182,B.1.177.9
     55,B.1.177
     31,B.1.258.4
     25,B.1.1.37
     14,B.1.177.6
     11,B.1.177.17
      4,B.1.1
      3,B.1.160.7
      1,B.1.5.34
      1,B.1.351
      1,B.1.1.194


Code: [Select]

    329,D614G
    286,A222V
    222,A262S
    184,D80Y
    183,N164T

    127,E583D
     57,L5F
     46,L18F
     40,P272L
     32,G1219V
     31,V772I
     31,N439K
     31,L189F
     28,H655Y
     27,T95I
     25,D574Y
     18,V308L
     15,Q23H
     15,A1020S
     12,I1216V
     11,L176F
      8,N536S
      8,G446V
      8,D796H
      8,A520S
      7,G1167V
      7,D1163Y
      6,Q613H
      6,D215H
      5,S98F
      5,S477N
      5,R346K
      4,K1205N
      4,A1226V
      3,W152R
      3,T678I
      3,S884F
      3,S221L
      3,R21K
      3,P681L
      3,L244F
      3,G482S
      3,F329L
      3,A871S
      2,T716I
      2,S982A
      2,R190K
      2,Q677H
      2,Q675R
      2,Q218H
      2,P681H
      2,P384L
      2,N501Y
      2,L552F
      2,L1141F
      2,K1191N
      2,H146Y
      2,E484K
      2,E1150D
      2,D936Y
      2,D215Y
      2,D215V
      2,D138Y
      2,D1118H
      2,A845S
      2,A783T
      2,A771S
      2,A706V
      2,A688V
      2,A570D
      2,A522V
      2,A522S
      2,A1174V
      2,A1078S
      1,Y269C
      1,Y266C
      1,Y200C
      1,Y145N
      1,V687L
      1,V539I
      1,V445I
      1,V36L
      1,V367F
      1,V213A
      1,V1230A
      1,V1104L
      1,T768N
      1,T63N
      1,T51I
      1,T307N
      1,T22I
      1,T20I
      1,T19K
      1,S937L
      1,S813I
      1,S735A
      1,S691F
      1,S659L
      1,S50L
      1,S494P
      1,S151T
      1,S12F
      1,S1261F
      1,S1242I
      1,S1175P
      1,R765L
      1,R214L
      1,Q314K
      1,P9L
      1,P681R
      1,P561T
      1,P384S
      1,P1079S
      1,N925S
      1,N556Y
      1,N211T
      1,L822F
      1,L455F
      1,L216F
      1,L141F
      1,K444R
      1,K417N
      1,K1181I
      1,K1073N
      1,I468V
      1,I210T
      1,I1179V
      1,H146Q
      1,G482A
      1,G476F
      1,G181V
      1,G181A
      1,G142V
      1,G1124V
      1,F2L
      1,F157S
      1,F157L
      1,E484R
      1,E1182Q
      1,D80A
      1,D215G
      1,D1257Y
      1,D1153Y
      1,D1084Y
      1,A924V
      1,A924S
      1,A879V
      1,A846V
      1,A701V
      1,A668S
      1,A653V
      1,A647S
      1,A27S
      1,A243S
      1,A163V


17
nCoV - discussion / B.1.1.7 = vui-202012/1
« on: December 17, 2020, 10:48:12 pm »
https://flutrackers.com/forum/forum/europe-aj/europe-covid-19-sept-13-2020-may-31-2021/901351-england-new-variant-of-covid19-coronavirus-may-be-causing-faster-spread-in-some-areas-december-14-2020-wales-scotland-denmark






twitter-thread from @Chjulian , translated from Spanish :

 Update: Headlines announce the identification of a "new variant" of the coronavirus in the UK.
 It is not clear if the new variant is responsible for the increase in cases.
However, this variant is interesting. And here I tell you why 37 / n
@Chjulian
·
First, we need to understand that our immune system uses specialized mechanisms
to recognize and eliminate the virus, preventing its spread and ending disease.
The infectious period is the time in which we can transmit SARS-CoV-2 to another person

In the case of COVID19, the infectious period begins a couple of days before symptoms
develop and can last up to a couple of weeks (more details here https://bmjopen.bmj.com/content/10/8/e039856
). The disease is generally acute, short-lived bone 39 / n

An Immunocompetent individual has a normal
immune response. When our immune
system is weakened, we say it is immunosuppressed. Immunosuppressed individuals
may have persistent infections that last for longer periods of time (months!) 40 / n

Under these conditions, SARS-CoV-2 can accumulate many more mutations than we
would expect (in a single individual) and which could be transmitted if the transmission
is successful after a long time 41 / n

Remember that it is normal for viruses to mutate and SARS-CoV-2 accumulates
(on average) one or two mutations per month at the population level 42 / n
[##  1.43 per month , ua5m1.gif {gsgs} ]

The new variant (named B.1.1.7) has 17 mutations (woah!). And it is speculated that
it could have originated in an individual with a persistent infection (for example,
an immunosuppressed individual, but we have no information about it) 43 / n

It is important to mention that our immune system goes to the battlefield as quickly
 as possible to avoid an arms race at the molecular level, reducing the chances that
the virus will produce a mutation that allows it to evade our immune response 44 / n

If the hypothesis turns out to be true, it can have important consequences for treatment.
 A persistent infection accumulates diversity and depending on how we treat it, we may
or may not cause an arms race at the molecular level 45 / n

That is, to select mutations with unknown epidemiological potential. There is no need
 to be alarmed, I just want to show how we scientists must think and articulate our strategy
to face the battle in the short, medium and long term 46 / N

Nor can we say that a persistent infection in an immunosuppressed individual is a
greater problem than infections in immunocompetent individuals. Definitely the
evolutionary forces that "moderate" the evolution of the virus are different and ... 47 / n

... we hope that the origin of B.1.1.7 was somewhat unusual and had nothing to do
 with the increase in cases (studies continue). There is also a second hypothesis
(with less support) to explain why this variant has so many 48 / n mutations

Are you sure they remember minks? there is always the slim chance that SARS-CoV-2
will adapt to other mammals (By the way, there are no minks on farms in the UK),
but a prolonged epidemic ... 49 / n

... in the fauna around us it could result in new genetic variants that could (after a while)
jump to humans with various mutations. For this and other reasons, it is important to
evaluate what is happening at the level of the fauna around us 50 / n

t really amazes me how much we learn and the twists and turns a sprout can take! 51 / n

Fortunately, there is no evidence (to date) that this variant has an impact on the severity
of the disease or on the effectiveness of 52 / n vaccines.



18
actual epidemic charts / USA-deaths
« on: December 14, 2020, 01:35:49 am »
Code: [Select]
2453229, 2774641 ,04,All Cause
 2234697, 2550736 ,05,Natural Cause
   32960,   33776 ,06,Septicemia (A40-A41)
  518136,  512577 ,07,Malignant neoplasms (C00-C97)
   75070,   84086 ,08,Diabetes mellitus (E10-E14)
  103200,  111955 ,09,Alzheimer disease (G30)
   42979,   46919 ,10,Influenza and pneumonia (J09-J18)
  135074,  130283 ,11,Chronic lower respiratory diseases (J40-J47)
   37774,   38305 ,12,Other diseases of respiratory system (J00-J06,J30-J39,J67,J70-J98)
   44132,   44405 ,13,Nephritis, nephrotic syndrome and nephrosis (N00-N07,N17-N19,N25-N27)
   27040,   52927 ,14,Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified (R00-R99)
  565959,  582547 ,15,Diseases of heart (I00-I09,I11,I13,I20-I51)
  128206,  134272 ,16,Cerebrovascular diseases (I60-I69)
       0,  236985 ,17,COVID-19 (U071, Multiple Cause of Death)
       0,  216748 ,18,COVID-19 (U071, Underlying Cause of Death)
----------------------------------------------------------------------
    2019,    2020 ,  weeks 1-45

19
genetics / release 240.0
« on: November 03, 2020, 01:19:51 am »
2020/11/03 , genbank release 240 , Oct.15 is available

https://ftp.ncbi.nlm.nih.gov/genbank/gbrel.txt

release 239 from Aug2020 had 39 virus files with 17491 MB and 3161686 sequences and 5824026918 Bases
   and 50462 coronavirus nucleotide sequences
release 240 from Oct2020 has 44 virus files with 18889 MB and 3223498 sequences and 6442230159 Bases
   and 68651 coronavirus nucleotide sequences 33844 of which are SARS2

21
General Discussion / this board - info/help/changes/organisation
« on: September 12, 2020, 10:16:30 pm »

how to make members mods,admins
admin
permissions
click the number in the Members column
to add more members to that group


22
actual epidemic charts / Heilongjiang reports , translation
« on: April 24, 2020, 10:04:10 pm »
http://wsjkw.hlj.gov.cn/index.php/Home/Zwgk/all/typeid/42
http://wsjkw.hlj.gov.cn/index.php/Home/Zwgk/show/newsid/8230/navid/42/stypeid/


HL,Apr05,-,-,-,-;-,-,-,-;759,-,487
HL,Apr12,11,0,0,0;7,0,0,0;16664,275,1633

HL,Apr17,32,0,0,0;19,0,2,1;17192,792,1187
HL,Apr18,36,2,0,0;18,3,0,2;17325,832,935
HL,Apr19,39,2,0,0;21,3,0,2;17599,1092,582
HL,Apr20,45,2,1,0;23,5,0,2;17899,1378,429
HL,Apr21,52,2,0,0;23,5,0,2;18087,1548,207
HL,Apr22,55,2,0,0;21,5,0,2;18230,1679,88
HL,Apr23,57,2,1,0;20,12,0,2;18373,1785,46
HL,Apr24,58,2,1,0;21,12,0,2;18615,2020,41
HL,Apr25,60,5,1,0;18,9,0,2;18831,2191,39



Latest epidemic report
Release source: Heilongjiang Provincial Health Commission Release time: 2020-04-25 Hits: 3088

At 0-24 April 24, 2020, 1 newly confirmed case (Harbin) was added in Heilongjiang Province, which was a close contact with the confirmed cases in the second hospital of the city. One new local asymptomatic infected person (Harbin) was added as a close contact person with confirmed cases in the second hospital of the city. Both of them have been further included in the centralized medical observation. As of 24:00 on April 24, a total of 544 local confirmed cases were reported, 470 cases were cured and discharged, 61 cases were confirmed (58 cases in Harbin, 2 cases in Mudanjiang, and 1 case in Daqing), and 35 asymptomatic infected persons Cases (21 cases in Harbin, 12 cases in Mudanjiang, 2 cases in Suihua). The number of hot clinics on the day was 932. A total of 18615 close contacts were tracked, 16595 people were dismissed from medical observation, and 2020 people are still undergoing medical observation.

0-24 hours on April 24, 2020. In the province, there were 1 newly confirmed cases imported from abroad, Chinese nationality, Heilongjiang Province, imported from Russia; 23 cases of overseas cured cases were discharged. As of 24:00 on April 24, a total of 386 cases of imported confirmed cases were reported, including 120 cases in Heilongjiang Province and 266 cases in other provinces; 348 cases of confirmed cases imported overseas; and 38 cases of cured cases discharged overseas. 2094 close contacts have been traced to overseas, 2053 people have been released from medical observation, and 41 people are still undergoing medical observation.

There will be no new imported asymptomatic infected persons from 0-24 April 24, 2020. As of 24:00 on April 24, there are currently 18 cases of asymptomatic infection imported from abroad, including 9 cases in Heilongjiang Province and 9 cases in other provinces.
  


23
actual epidemic charts / UK-deaths prediction , 2020/04/16
« on: April 17, 2020, 01:35:23 am »
they have an unusually high percent of positives in UK, >40%  [only in England ?? Wales,Scot,NI]
compare with Italy,Czech,Poland,Austria :
http://magictour.free.fr/PR-0416.GIF

ONS reports weekly deaths from all causes
https://data.gov.uk/dataset/1cf2c6d1-b69b-4122-94ce-006202c323ba/weekly-provisional-figures-on-deaths-registered-in-england-and-wales

Code: [Select]
weekly provisional deaths in England and Wales
-11-,-12-,-13-,-14-  , week (mar7-apr3)
2725,2709,2786,3865, at home
4975,4770,5105,7884, hospital
0553,0551,0504,0554, hospice
2471,2335,2489,3769, care home
0044,0043,0033,0053, other communal
0249,0238,0225,0272, elsewhere

from COVID
0,1,15,120,at home
5,100,501,3110,hospital
0,0,2,31,hospice
0,2,20,195,care home
0,0,0,3,other communal
0,0,1,16,elsewhere


~2000 additional deaths at home or care home
so, add 65% to the normal COVID-reported deaths
in total deaths in England and Wales were 16397/11142 = 47% increased in week 14
this should go up in weeks 15,16 and then slowly decline.
Total excess deaths ~50000 in this wave
-----------edit----------
well, IHME is down today (2020/04/17/05:30-UTC) to 23791, [it was >60000 on Apr07]
plus 47% would be ~35000 for the UK
https://covid19.healthdata.org/united-kingdom
------------------------

In Milan or NY it was ~100% increased , in Bergamo ~500% in the peak-weeks

24
expert opinions / Shi Zhengli , Jan03
« on: April 16, 2020, 01:09:25 am »
Shi Zhengli , ~Jan03
Shi breathed a sigh of relief when the results came back: none of the sequences matched
those of the viruses her team had sampled from bat caves. “That really took a load off my mind,
” she says. “I had not slept a wink for days.”
https://www.scientificamerican.com/article/how-chinas-bat-woman-hunted-down-viruses-from-sars-to-the-new-coronavirus1/?amp


25
genetics / genbank 2020-04-11
« on: April 11, 2020, 09:50:21 am »
COVID-sequences links :
Nov20,40432+107300+631

https://www.ncbi.nlm.nih.gov/labs/virus/vssi/#/virus?VirusLineage_ss=Severe%20acute%20respiratory%20syndrome%20coronavirus%202,%20taxid:2697049&SeqType_s=Nucleotide
https://www.cogconsortium.uk/data/
https://civnb.info/sequences/
http://www.insdc.org/
https://www.ebi.ac.uk/




-------------------------------------------------------------------------------
other links :
(https://www.viprbrc.org/brc/home.spg?decorator=vipr).

flu : https://www.ncbi.nlm.nih.gov/genomes/FLU/Database/nph-select.cgi?go=database

releases : https://ftp.ncbi.nih.gov/genbank/gbrel.txt



----------------------------------------------------------------
582 COVID-19 sequences (507 of these full genome) downloaded on Apr11 from :
[615 on Apr12)
(876 on Apr14 , 795 full)+102 full German ones from Drosten-tweet s.u.
(1207 on Apr21)

https://www.ncbi.nlm.nih.gov/labs/virus/vssi/#/virus?VirusLineage_ss=Severe%20acute%20respiratory%20syndrome%20coronavirus%202,%20taxid:2697049&SeqType_s=Nucleotide

386 from USA , (earliest from Jan19, IL-Jan21,CA-Jan22,WA-Jan25
94 from China , (66 full , earliest from Dec.23
25 from Spain (earliest Feb26 ,
17 from Iran , (2 full, earliest Mar09
6 from Italy , (1 full, Jan30
...

dates = symptom-onset ?


mutation-picture : http://magictour.free.fr/sars2-4.GIF
rows are viruses , columns are RNA-nucleotide-positions , black pixels are mutations
horizontally and vertically sorted so to give maximum black connected components

community-spread in Washington State since at least Jan19,
one day before Zhong Nanshang raised the alarm on Chinese TV
and 4 days before Wuhan lockdown !

Jan19 was sample-collection, sequence-release date was Mar26
another sequence from WA , Jan25, release date Feb05
also already with that C27969T (my current enumeration) - mutation typical for WA

MN985325 , https://wwwnc.cdc.gov/eid/article/26/6/20-0516_article
China-traveler , symptom-onset = Jan16 , sampled Jan19 , USA-WA , genbank Mar27
https://www.ncbi.nlm.nih.gov/nuccore/MN985325
had already the C27969T mutation

---------------------------------------------


26
nCoV - discussion / Apr07 model UofWA
« on: April 07, 2020, 07:58:15 am »
Apr.07 , Chris Murray , UofWA  Institute for Health Metrics and Evaluation
https://covid19.healthdata.org/united-states-of-america
https://covid19-projections.com/
https://covid19forecasthub.eu/reports.html
https://epiforecasts.io/covid/posts/national/india/

----------------------------------------------------------------

COVID-19-deaths until Aug04
peak-date
country
-------------------------

00385,Mar31,Austria
03546,Apr06,Belgium
00303,Apr24,Bulgaria
00166,Apr20,Croatia
00054,Apr19,Cyprus
00411,Apr12,Czechia
00529,Apr09,Denmark
00484,Apr25,Estonia
00225,Apr21,Finland
15058,Apr01,France
08802,Apr14,Germany
00457,Apr18,Greece
00477,Apr23,Hungary
00401,Apr04,Ireland
20300,Mar28,Italy
00125,Apr25,Latvia
05808,Apr10,Netherlands
01953,Apr21,Poland
19209,Mar31,Spain
04182,Apr25,Sweden
66314,Apr17,UK
81766,Apr15,USA

--------------------------------------------
update 0408, 60415,Apr11,USA
update 0413, 68841,Apr10,USA
update 0413, 23791,Apr14,UK
update 0413, 15834,May04,NL
update 0413, 17448,Apr02,F
update 0413, 21130,Mar28,I

IHME,Mar27, USA=81114
IHME,Apr01, USA=93765,
IHME,Apr08, USA=60415,UK=66314,S=04182,I=20300,F=15058,D=8802,B=3546,Ire=0527,NY=13307
IHME,Apr16, USA=60415,UK=66314
IHME,Apr17, USA=68841,UK=66314,S=04182,I=20333,F=15058,D=7080,B=4291,Ire=527,NY=13307
IHME,Apr22, USA=67641,UK=31929,S=10584,I=26867,F=23304,D=6124,B=8128,Ire=1030,NY=24000
IHME,Apr29, USA=72860,UK=31476,S=15625,I=27544,F=24918,D=6946,B=7708,Ire=1404,NY=24314
IHME,May06,USA=134475,UK=40555,S=10196,I=31458,F=28859,D=8543,B=9464,Ire=1698,NY=32132
IHME,May12,USA=147040,UK=43479,S=5769,I=35137,F=31155,D=9905,B=10594,Ire=1736,NY=34068
Brazil=88305,Canada=9945,Mexico=6859,Peru=6428,Turkey=5263,IL=7830,PA=12420,CA=5832,OH=2844
IHME,May29,USA=135109,UK=44389,S=05258,I=43297,F=31466,D=9146,B=9699,Ire=1692,NY=31295
Brazil=125833,Canada=8148,Mex=6859,Peru=19722,Turkey=4759,Russia=7201,
CA=12951,GA=2759,IL=6371,MO=996,NY=31295,OH=3227,PA=6418,TX=2025
IHME,Jun17,USA=201129(by Oct01),UK=43963(Aug04),S=8534,I=35230,F=34602,D=9500,B=11093,Ire=1727
BRA=165960,CDN=8148,MEX=51912,PER=19722,Turkey=5176,Russia=21895
CA=15155,GA=10142,IL=8274,MO=1647,NY=33685,OH=3658,PA=8831,TX=5567
IHME,Jun28,USA=179106,UK=47924(Oct01),S=5754,I=41756,F=30391,D=11555,B=9869,Ire=1790,
BRA=166362,CDN=10053,MEX=88150,PER=36210,Turkey=29895,Russia=19105,PAK=42188
CA=11631,GA=6614,IL=8487,MO=2778,NY=31837,OH=3781,PA=7799,TX=13736

27
expert opinions / April 2020
« on: April 05, 2020, 12:39:21 pm »
Apr05 ,  Locatelli:
>  it is essential to continue to comply with distance measures. Without it, we would have
> had 30 thousand more deaths  [instead of just 15000 official COVID-19-deaths,
6fold mortality in Mar in Bergamo]
---------------------------------------------------------------
Apr.07 , Chris Murray , UofWA  Institute for Health Metrics and Evaluation
deaths in the hundreds of thousands , peak on Apr16
estimates fewer total deaths than last week.
It assumes that strict social-distancing methods which flattened the curve in other parts
of the world will be adhered to in the U.S. Studies t
https://covid19.healthdata.org/united-states-of-america
81766  COVID-19 deaths  projected by August 4, 2020
----------------------------------------------------------------
Fox News reporter John Roberts , Apr15
Multiple sources are telling Fox News today that the United States now has high confidence that,
while the coronavirus is a naturally occurring virus, it emanated from a virology lab in Wuhan, that,
because of lax safety protocols, an intern was infected, who later infected her boyfriend, and then
went to the wet market in Wuhan, where it then began to spread,”
------------------------------
Ebright,Apr15
 “The first human infection could have occurred as a natural accident, with a virus passing from
bat to human, possibly through another animal. But the first human infection also could have
occurred as a laboratory accident, with a virus accidentally infecting a laboratory worker.”
--------------------------------
 Ebright, Jan25
“at this point there’s no reason to harbor suspicions” the lab may be linked to the virus outbreak.
-----------------------------
----------------------------------------------------------------------------
Apr30 , Trump:
I think that the World Health Organization should be ashamed of themselves because
they are like the public relations agency for China,
The US pays WHO almost $500 million a year and China pays them $38 million a year,
Whether it's a lot more, it doesn't matter. They shouldn't be making excuses when people
make horrible mistakes, especially mistakes that are causing hundreds of thousands
of people around the world to die.
----------------------------------------------------------------------
Apr30 , Pompeo
The World Health Organization simply failed to respond in this case... With respect to
the WHO, we know that they had one job, right? A single mission: To prevent the spread
of a pandemic. We know that the leader of that organization travelled to China and then
declined to declare it a pandemic until everyone in the world knew that was already true,
 

28
actual epidemic charts / week14
« on: April 04, 2020, 10:51:26 pm »
updated charts :




Code: [Select]
lowest increase in % in week 14
--------------------------------------------------
 1.000000  154 ,  712 ,DiamondPrincess
 1.023453  399 ,83349 ,China
 1.059793  174 ,10156 ,SouthKorea
 1.071429   74 ,  135 ,Brunei
 1.106796    0 ,  114 ,Cambodia
 1.131004 1235 ,  259 ,SanMarino
 1.187215  326 ,  520 ,Lebanon
 1.191275  140 ,  355 ,Taiwan
 1.196911  161 ,  310 ,Jordan
 1.238281   56 , 1585 ,SouthAfrica
 1.275804 1232 ,124632 ,Italy
 1.276596    0 ,  240 ,Vietnam
 1.288282  112 , 5519 ,Norway
 1.294498  125 ,  400 ,Uruguay
 1.336370  160 ,11589 ,Austria
 1.338356  225 ,  977 ,Slovenia
 1.344237   46 ,  863 ,HongKong
 1.347591  316 ,19943 ,Switzerland
 1.348684  243 ,  205 ,Ghana
 1.353982  457 ,  153 ,Venezuela
 1.376000   58 ,  688 ,Bahrain
 1.384615  308 ,  162 ,SriLanka
 1.389216   28 , 1417 ,Iceland
 1.393072   54 , 5550 ,Australia
 1.395210  364 ,  466 ,Andorra
 1.399487  113 , 2729 ,Luxembourg
 1.408768   50 , 1189 ,Singapore
 1.410122  163 , 3483 ,Malaysia
 1.429530    0 ,  213 ,Malta
 1.447232  406 , 1673 ,Greece
 1.453757  337 ,  503 ,Bulgaria
 1.455089  619 ,55743 ,Iran
 1.466859    0 ,  509 ,Latvia
 1.489193   96 , 2067 ,Thailand
 1.499264  127 , 1018 ,Estonia
 1.500000    0 ,  471 ,Slovakia
 1.530186  992 ,16627 ,Netherlands
 1.531350  150 ,96374 ,Germany
 1.545156  106 , 1882 ,Finland
 1.548456  135 , 4362 ,CzechRepublic
 1.570755  540 ,  333 ,Albania
 1.574935  946 ,126168 ,Spain
 1.579243  106 , 1126 ,Croatia
 1.605119  637 ,  878 ,Iraq
 1.612903   10 ,  950 ,NewZealand
 1.628016  913 , 2092 ,Indonesia
 1.661765  471 ,  678 ,Hungary
 1.667189  378 , 4258 ,Denmark
 1.677444  133 , 2179 ,SaudiArabia
 1.684615   91 ,  219 ,Senegal
 1.699899  355 , 1688 ,Mexico
 1.700904  696 , 18431 ,Belgium
 1.741351  578 , 6443 ,Sweden
 1.743918  146 , 2724 ,Pakistan
 1.756979  663 , 1070 ,Egypt
 1.760612  297 , 4604 ,Ireland
 1.764302  116 ,  771 ,Lithuania
 1.765180  252 ,10524 ,Portugal
 1.772436  343 ,  553 ,Tunisia
 1.786908   56 , 7589 ,Israel
 1.790419   33 ,  299 ,Oman
 1.816038   90 ,  770 ,Armenia
 1.826389   76 ,  263 ,Uzbekistan
 1.831776  357 ,  196 ,Mauritius
 1.833333  496 , 3465 ,Ecuador
 1.837020  487 , 1578 ,DominicanRepublic
 1.843424  656 ,  883 ,Morocco
 1.848592   95 ,  525 ,Kazakhstan
 1.856826  245 , 1673 ,Panama
 1.864865  351 ,  483 ,NorthMacedonia
 1.878431   20 ,  479 ,Kuwait
 1.882883  191 ,  209 ,Nigeria
 1.886850  340 ,  617 ,Bosnia
 1.936323  240 , 3497 ,Japan
 1.945302   64 , 4161 ,Chile
 1.947651  296 , 1451 ,Argentina
 1.947905  217 , 3627 ,Poland
 1.990634  404 , 3613 ,Romania
 1.990654  305 ,  426 ,Cyprus
 2.002849  227 , 1406 ,Colombia
 2.049296  418 , 1746 ,Peru
 2.062069  234 ,  299 ,Afghanistan
 2.089905   22 , 1325 ,Qatar
 2.146450 1029 ,41903 ,UnitedKingdom
 2.151441  874 ,86432 ,France
 2.181947  465 , 3094 ,Philippines
 2.191298  166 ,13849 ,Canada
 2.191633  270 , 1624 ,Serbia
 2.195791  283 ,308546 ,UnitedStates
 2.307369  255 , 1096 ,Ukraine
 2.400000  568 ,  264 ,Honduras
 2.420168  208 ,  288 ,Cuba
 2.448141 1039 , 1251 ,Algeria
 2.485010  419 ,10278 ,Brazil
 2.492823   95 ,  521 ,Azerbaijan
 2.596724  209 ,23934 ,Turkey
 2.640351   66 , 1505 ,UnitedArabEmirates
 2.859316  159 ,  752 ,Moldova
 3.003906  250 , 3076 ,India
 3.084094   90 , 4731 ,Russia

Code: [Select]
smallest deathrate
--------------------------------
 1.106796    0 ,  114 ,Cambodia
 1.429530    0 ,  213 ,Malta
 1.276596    0 ,  240 ,Vietnam
 1.500000    0 ,  471 ,Slovakia
 1.466859    0 ,  509 ,Latvia
 1.612903   10 ,  950 ,NewZealand
 1.878431   20 ,  479 ,Kuwait
 2.089905   22 , 1325 ,Qatar
 1.389216   28 , 1417 ,Iceland
 1.790419   33 ,  299 ,Oman
 1.344237   46 ,  863 ,HongKong
 1.408768   50 , 1189 ,Singapore
 1.393072   54 , 5550 ,Australia
 1.238281   56 , 1585 ,SouthAfrica
 1.786908   56 , 7589 ,Israel
 1.376000   58 ,  688 ,Bahrain
 1.945302   64 , 4161 ,Chile
 2.640351   66 , 1505 ,UnitedArabEmirates
 1.071429   74 ,  135 ,Brunei
 1.826389   76 ,  263 ,Uzbekistan
 1.816038   90 ,  770 ,Armenia
 3.084094   90 , 4731 ,Russia
 1.684615   91 ,  219 ,Senegal
 2.492823   95 ,  521 ,Azerbaijan
 1.848592   95 ,  525 ,Kazakhstan
 1.489193   96 , 2067 ,Thailand
 1.579243  106 , 1126 ,Croatia
 1.545156  106 , 1882 ,Finland
 1.288282  112 , 5519 ,Norway
 1.399487  113 , 2729 ,Luxembourg
 1.764302  116 ,  771 ,Lithuania
 1.294498  125 ,  400 ,Uruguay
 1.499264  127 , 1018 ,Estonia
 1.677444  133 , 2179 ,SaudiArabia
 1.548456  135 , 4362 ,CzechRepublic
 1.191275  140 ,  355 ,Taiwan
 1.743918  146 , 2724 ,Pakistan
 1.531350  150 ,96374 ,Germany
 1.000000  154 ,  712 ,DiamondPrincess
 2.859316  159 ,  752 ,Moldova
 1.336370  160 ,11589 ,Austria
 1.196911  161 ,  310 ,Jordan
 1.410122  163 , 3483 ,Malaysia
 2.191298  166 ,13849 ,Canada
 1.059793  174 ,10156 ,SouthKorea
 1.882883  191 ,  209 ,Nigeria
 2.420168  208 ,  288 ,Cuba
 2.596724  209 ,23934 ,Turkey
 1.947905  217 , 3627 ,Poland
 1.338356  225 ,  977 ,Slovenia
 2.002849  227 , 1406 ,Colombia
 2.062069  234 ,  299 ,Afghanistan
 1.936323  240 , 3497 ,Japan
 1.348684  243 ,  205 ,Ghana
 1.856826  245 , 1673 ,Panama
 3.003906  250 , 3076 ,India
 1.765180  252 ,10524 ,Portugal
 2.307369  255 , 1096 ,Ukraine
 2.191633  270 , 1624 ,Serbia
 2.195791  283 ,308546 ,UnitedStates
 1.947651  296 , 1451 ,Argentina
 1.760612  297 , 4604 ,Ireland
 1.990654  305 ,  426 ,Cyprus
 1.384615  308 ,  162 ,SriLanka
 1.347591  316 ,19943 ,Switzerland
 1.187215  326 ,  520 ,Lebanon
 1.453757  337 ,  503 ,Bulgaria
 1.886850  340 ,  617 ,Bosnia
 1.772436  343 ,  553 ,Tunisia
 1.864865  351 ,  483 ,NorthMacedonia
 1.699899  355 , 1688 ,Mexico
 1.831776  357 ,  196 ,Mauritius
 1.395210  364 ,  466 ,Andorra
 1.667189  378 , 4258 ,Denmark
 1.023453  399 ,83349 ,China
 1.990634  404 , 3613 ,Romania
 1.447232  406 , 1673 ,Greece
 2.049296  418 , 1746 ,Peru
 2.485010  419 ,10278 ,Brazil
 1.353982  457 ,  153 ,Venezuela
 2.181947  465 , 3094 ,Philippines
 1.661765  471 ,  678 ,Hungary
 1.837020  487 , 1578 ,DominicanRepublic
 1.833333  496 , 3465 ,Ecuador
 1.570755  540 ,  333 ,Albania
 2.400000  568 ,  264 ,Honduras
 1.741351  578 , 6443 ,Sweden
 1.455089  619 ,55743 ,Iran
 1.605119  637 ,  878 ,Iraq
 1.843424  656 ,  883 ,Morocco
 1.756979  663 , 1070 ,Egypt
 1.700904  696 , 18431 ,Belgium
 2.151441  874 ,86432 ,France
 1.628016  913 , 2092 ,Indonesia
 1.574935  946 ,126168 ,Spain
 1.530186  992 ,16627 ,Netherlands
 2.146450 1029 ,41903 ,UnitedKingdom
 2.448141 1039 , 1251 ,Algeria
 1.275804 1232 ,124632 ,Italy
 1.131004 1235 ,  259 ,SanMarino

29
actual epidemic charts / England
« on: April 04, 2020, 12:13:59 pm »
UK-"dashboard" , data from regions , download


https://www.arcgis.com/apps/opsdashb...0b19484dd4bb14
https://fingertips.phe.org.uk/docume...rd%20Data.xlsx


English charts , 8 regions relative to the average :

http://magictour.free.fr/e-0403a.GIF

you can see, how London bends down 5 days after they changed the strategy

30
nCoV - discussion / Italy contained it
« on: April 03, 2020, 10:59:46 pm »
data inizio sintomi  = epidemiological curve :
Aggiornamento nazionale

http://www.salute.gov.it/imgs/C_17_notizie_4390_0_file.pdf

down since Mar13

also avilable from Mar16  ,  https://www.epicentro.iss.it/coronavirus/bollettino/Bollettino%20sorveglianza%20integrata%20COVID-19_16%20marzo%202020.pdf

Mar19 , https://www.epicentro.iss.it/coronavirus/bollettino/Bollettino%20sorveglianza%20integrata%20COVID-19_19-marzo%202020.pdf

Mar20 , https://www.epicentro.iss.it/coronavirus/bollettino/infografica_20marzo%20eng.pdf

Mar23 , https://www.epicentro.iss.it/coronavirus/bollettino/Bolletino-sorveglianza-integrata-COVID-19_23-marzo-2020_appendix.pdf

Mar26 , https://www.epicentro.iss.it/coronavirus/bollettino/Bollettino-sorveglianza-integrata-COVID-19_26-marzo%202020.pdf

list here : https://www.epicentro.iss.it/coronavirus/aggiornamenti

============================================
Brusaferro: "The curve of the new downhill cases, the measures are working,
they must be maintained in order not to restart it"

“The curve of new cases progressively decreases, the measures are working,
they must be maintained. If you do not control the curve well in the downward phase,
in fact, it can return to growing rapidly ". Thus the president of the Istituto
Superiore di Sanità Silvio Brusaferro at the third press conference to present the
analysis on the epidemiological trend relating to COVID-19 in Italy, made by ISS.

Franco Locatelli, president of the Superior Health Council, and the director of the
ISS infectious diseases department, Giovanni Rezza, attended.

Confirm the characteristics of the population affected by coronavirus. Patients have
severity in 20% of cases and criticality in 3%. Median age of positive cases, 62 years,
male prevalence and co-morbidity remain constant.
It is confirmed that among the deceased women are 30% and maintain a higher age,
82 years, compared to men (78).
Without measures in 6 months - underlined the epidemiologist Giovanni Rezza - we would
have had flock immunity with a large number of deaths. If we had succumbed - continued
Rezza - to the South we would have had many Codogno. "The epidemiologist spoke of"
moderate optimism "for the regions of Southern Italy and explained that" if there is a phase 2,
this must be gradual to minimize the risk of a recovery in the number of cases ".

The president of the Superior Health Council, Franco Locatelli, said that "Fortunately,
the regions of the center and south of the country have been spared from the epidemic
wave that hit Lombardy, Emilia Romagna, Veneto and Piedmont. It is undoubtedly a
success for Italian healthcare but we must not let our guard down, especially on Easter
holidays, it is important to reiterate that we must stay at home to manage the epidemic
and to protect the most fragile subjects. "He also recalled that" There are eight studies
on anti-Covid-19 drugs currently approved by the Italian Medicines Agency. It will take
 a few more days to complete the validation of the serological tests for the detection of
antibodies against the new coronavirus, which must be validated in a methodologically
rigorous way. In addition, from April 6, participation in the call for research on Covid-19
is open, which gives access to 7 million in total funding from the ministry ".

Go to the Call for Research on COVID-19
http://www.salute.gov.it/portale/ministro/p4_10_1_1_atti_1_1.jsp?lingua=italiano&id=216
Consult the conference material:
    Epidemiological update on April 3
    Impact of containment measures
Release date: April 3, 2020, latest update April 3, 2020
Attachments
    Epidemiological update on April 3      04/03/2020 - PDF (2.35 Mb)
http://www.salute.gov.it/imgs/C_17_notizie_4390_0_file.pdf
    Impact of containment measures      04/03/2020 - PDF (1.31 Mb)
http://www.salute.gov.it/imgs/C_17_notizie_4390_1_file.pdf

all the updates in English : http://www.protezionecivile.gov.it/home
--------------------------
from :
http://www.salute.gov.it/portale/news/p3_2_1_1_1.jsp?lingua=italiano&menu=notizie&p=dalministero&id=4390
translated with google
----------------------------

situation map : http://opendatadpc.maps.arcgis.com/apps/opsdashboard/index.html#/b0c68bce2cce478eaac82fe38d4138b1

data:
https://github.com/pcm-dpc/COVID-19/tree/master/dati-regioni
https://github.com/pcm-dpc/COVID-19/tree/master/dati-province
https://github.com/pcm-dpc/COVID-19/tree/master/dati-andamento-nazionale

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