Which countries are taking the best measures against cononavirus?

[gixajo]

The easiest , cheapest and fastest measures to reduce the mortality rate of covid_19 is:

Spoiler!

falsify the actual figures

And till now the only country that has miraculously get this is:

Spoiler!

China

Who has the better means to

Spoiler!

censor all information

because it is a

Spoiler!

authoritarian state

But of course,my opinion is biased, is simply envy seeing the alleged number of deads in my country, so don´t take me into account.

It´s only one of the possible hypothesis.

[Kawaiine]

East Asians are just on a whole other level of smart and organized. Even put central Europeans to shame.

Proud to be predominant above European

[Kawaiine]

North Korea does the best of preventing against the Coronavirus pandemic

[War Chef]

Proud to be predominant above European

But you guys lack in many areas. Physically weaker etc.

[Kawaiine]

But you guys lack in many areas. Physically weaker etc.

Everyone has their own strengths and weaknesses, you can’t compare west to east, as we are completely different in many aspects

[Mortimer]

I think China defeated the Coronavirus so I think China.

[coolfrenchguy]

latvia,slovakia,belarus, new zealand(1 dead) ,uruguay,Kazakhstan,Sri Lanka,(0 deaths),South Africa (2 deaths),Estonia,Bangladesh,Armenia,Hong Kong,russia,germany,Bulgaria(8 D)Ukraine(10 D)Hungary(13 D)Taïwan are the best for managing that at their best,i don't agree with the totalitarism of south korea and singapor but they did it well too for "democratic" countries,i think than Trump maybe a bit on the late is in the truth too,"the cure shouldn't worse than disease",the country who have closed there borders very soon and than testing very soon are the ones who are managing that better even with losts for sure but they have limit the damages at the minimum ,read the the stats,ok there is a lot of smalll islands for sure,i think we could tell than until under 10 dead it's very good as managment ,the true catastroph is in italy and spain,shit,at them both is more than 17.000 deaths,but chineses have lied on their numbers,they have fucked up, completly even my country,France, do it a bit better
my opinion :as the level goes a bit up and the mode of transmition seems more contagious than a normal flu,and than after than an 14yo portuguese boy is dead from this flu just some few days after an 16yo french girl ,we should be very carefull and social distance is an absolute necessity without being paranoïd but conscious,but the containment is unnecessary to my eyes because if you want to live in pyongyang-dead-town it's your choose ,we had an ex-minister died at 75 in france of the COVID ,but even it's sad i still don't consider that an epidemic at the human scale,should we?
the cluster where starting the spreading in the east of france is from an evangelic gathering,and as good christians they share(dark humour),in my department there is 48 active cases and 1 dead

The virus causing the epidemic of COVID-19, the SARS-CoV-2 would have already mutated and its mutation would have produced a more virulent strain, the more 'aggressive' and potentially more deadly ?

It is alleged on march 3rd a chinese team, in a study published in National Science Review. After having analyzed 103 complete genomes collected from patients chinese, australian and Korean researchers led to the following conclusion : there would be two virus strains distinct from the SARS-CoV-2, a strain L and a strain S, strain L having mutated from the strain S and that would be more 'aggressive' since it would be responsible for 70% of reported cases, against 30% for the type-S.

pandemonium and loud screams, the new just released has made the tour of the world that once more, and as we will see, it has been very seriously questioned, and by the authors of the study themselves.
What is an RNA virus ?

Let's go back to the virus itself and to its nature : the SARS-CoV-2 is an RNA virus. It has 29 903 bases containing 15 genes. RNA viruses, this means that to replicate itself, it enters into a cell, copy it with its own tools, its RNA and recreates virions by hundreds of thousands of copies, which will then be released again in the body, and so on.

What is important to know is that RNA viruses mutate much more easily, and more quickly, than the DNA viruses. Why ? Because each replication, the nucleic acids are poorly copied, I remind you that the four bases of RNA are A G C U (the U replaces the T in DNA). By making hundreds of thousands of copies, statistically, there are very often mistakes : a letter jumps is replaced by another. According to Anne Goffard, virologist, researcher and doctor at the university hospital of Lille that we have queried, the virus mutates and 100,000 to a million times in the viral life cycle, approximately every six hours.

It should be noted that these errors are common in the replication of genetic, are for the most part corrected in the case of DNA, by mechanical repair which ensure a better stability of the genome. However, RNA viruses do not have a priori this type of tool, or tools that are much less effective that those of our cells... hence the higher rates of mutations.

Furthermore, these mutations in the viral most often have little consequences, or negative consequences that make the most of the time the virus inoperative, given its low number of genes. It suffices that a be amended to ensure that all mechanical viral grinds to a halt.
The consequences of the changes

But quite often, these mutations are said to be ' silent ', first of all, because the basics are taken by 3 to be translated into amino acids, so when one of the bases changes, two possibilities occur : either it does not change the amino acid because several combinations of bases can produce the same molecule, or it changes an amino acid, but this will not, however, result in a change of the function of the protein (the protein surface, for example, the Spike protein has around 1300 amino acids), it can most of the time continue to fulfill its role even with a different amino acid.

So you can understand that all of these changes, as many are, they are successful only very rarely to a change in phenotype and function viral. Today, it is estimated that the genome of the virus is still similar to the one appeared in Wuhan to 99,9999%.

Let's go back therefore to this study, and these two strains of L and S. To begin, the researchers themselves have recognized that the data were 'very limited' (103 genomes, as I mentioned) and that there should be further work to confirm or disprove their analysis. Many researchers were highly critical, going so far to request withdrawal of the publication because not only of sample too low, but also of misinterpretation of the data statistics, and above all, the fact that they are not based on any clinical data.

What do we know today of the course phylogeny of SARS-CoV-2 ?

The researchers believe that the virus has changed little and that all of these changes cyclical, only 2 on average would be selected each month and would affect a portion of the genome large enough to be at the origin of new strains – we should rather speak of isolates, but without that it does not change anything to its virulence (the term'aggressiveness' is very widely anthropomorphic), or to its contagiousness.

We may as well retrace the route of the virus from its origins in Wuhan, and how these different mutations to be harmless have infected different clusters, what are researchers doing real-time on the site Next Strain.

In the case where these mutations are not silent, the two main possibilities are either the increase of the infectiousness, which is a reduction of the virulence – unless the virus is deadly, the more it can spread, the more it is perennial and therefore natural selection will most of the time in the sense of a mitigation, rather than in the sense of an increase of the lethality.

How much of an influence on the development of a vaccine ?

Another crucial question arises about the mutations of the virus, it is the one of the single vaccine. The rate of structural change of the influenza virus is such that it requires to produce a new vaccine each year for example. What will happen to the SARS-CoV-2 ? Everything will depend on the mutation rate of the surface antigen, the protein Spike.

If the mutations perennial often affect this protein, then the single vaccine will not be effective, but the SARS-CoV-2 can also, losing some of its virulence, and eventually behave like its other cousins coronavirus, those who are responsible for our colds seasonal (OC43 or 229E) becoming totally trivial and eventually no longer require the vaccine.

A SARS-CoV-2 is stable enough to not require a single universal vaccine ? A little less stable to resemble the flu and may require an annual vaccine ? Or totally benign to end up looking like a cold ? Once again, to be able to slice it, it'll have to wait until further work – and in particular those of Anne Goffard, who has filed a request for funding to sequence the isolates circulating in France, and try to retrace precisely the evolution of the virus since its appearance in China in the month of December last year until today.


https://www.worldometers.info/coronavirus/
Country,
Other

	Total Cases	New Cases	Total Deaths	New Deaths	Total Recovered	Active Cases	Serious, Critical	Tot Cases/ 1M pop	Deaths/ 1M pop	1st case
Latvia	347				1	346	3	184		Mar 01
Slovakia	314				2	312	1	58		Mar 05
Kuwait	255				67	188	12	60		Feb 23
Vietnam	194				25	169	3	2		Jan 22
Réunion	183				1	182		204		Mar 10
Oman	167				23	144	3	33		Feb 23
Faeroe Islands	159				70	89	1	3,254		Mar 03
Malta	151				2	149	4	342		Mar 06
Senegal	142				27	115		8		Mar 01
Cambodia	103				21	82	1	6		Jan 26
Belarus	94				32	62	2	10		Feb 27
Georgia	91				18	73	1	23		Feb 25
Kyrgyzstan	84					84		13		Mar 17
Rwanda	70					70		5		Mar 13
Gibraltar	65				14	51		1,929		Mar 02
Mayotte	63					63		231		Mar 13
Liechtenstein	56					56		1,469		Mar 02
Aruba	50				1	49		468		Mar 12
French Guiana	43				6	37		144		Mar 06
Isle of Man	42					42		494		Mar 18
Madagascar	39					39		1		Mar 19
Macao	37				10	27		57		Jan 21
Barbados	33					33		115		Mar 16
Uganda	33					33		0.7		Mar 20
French Polynesia	30					30		107		Mar 10
Zambia	29					29		2		Mar 17
El Salvador	24					24		4		Mar 18
Bermuda	22				2	20		353		Mar 17
Ethiopia	21				1	20		0.2		Mar 12
Congo	19					19		3		Mar 14
Djibouti	18					18		18		Mar 17
Maldives	17				13	4		31		Mar 06
Guinea	16					16		1		Mar 12
Haiti	15				1	14		1		Mar 19
New Caledonia	15					15		53		Mar 17
Bahamas	14				1	13		36		Mar 14
Tanzania	14				1	13		0.2		Mar 15
Equatorial Guinea	12					12		9		Mar 13
Eritrea	12					12		3		Mar 20
Mongolia	12					12		4		Mar 09
Dominica	11					11		153		Mar 21
Namibia	11				2	9		4		Mar 13
Saint Martin	11					11		284		Feb 29
Greenland	10				2	8		176		Mar 15
Myanmar	10					10		0.2		Mar 22
Grenada	9					9		80		Mar 21
Saint Lucia	9				1	8		49		Mar 12
Eswatini	9					9		8		Mar 13
Laos	8					8		1		Mar 23
Libya	8					8		1		Mar 23
Mozambique	8					8		0.3		Mar 21
Seychelles	8					8		81		Mar 13
Suriname	8					8		14		Mar 12
Antigua and Barbuda	7					7		71		Mar 12
Benin	6					6		0.5		Mar 15
Vatican City	6					6		7,491		Mar 05
Sint Maarten	6					6		140		Mar 17
Nepal	5				1	4		0.2		Jan 23
Fiji	5					5		6		Mar 18
Mauritania	5				2	3		1		Mar 12
Montserrat	5					5		1,002		Mar 17
St. Barth	5					5		506		Feb 29
Bhutan	4					4		5		Mar 05
Turks and Caicos	4					4		103		Mar 22
CAR	3					3		0.6		Mar 14
Chad	3					3		0.2		Mar 18
Liberia	3					3		0.6		Mar 15
Somalia	3					3		0.2		Mar 15
MS Zaandam	2					2				Mar 26
Anguilla	2					2		133		Mar 25
Belize	2					2		5		Mar 22
British Virgin Islands	2					2		66		Mar 24
Guinea-Bissau	2					2		1		Mar 24
Saint Kitts and Nevis	2					2		38		Mar 24
Papua New Guinea	1					1		0.1		Mar 19
St. Vincent Grenadines	1				1	0		9		Mar 10
Timor-Leste	1					1		0.8		Mar 20
Qatar	634		1		48	585	6	220	0.3	Feb 28
New Zealand	514		1		63	450	2	107	0.2	Feb 27
Uruguay	304		1			303	9	88	0.3	Mar 12
Kazakhstan	284		1		20	263		15	0.05	Mar 12
Ivory Coast	165		1		4	160		6	0.04	Mar 10
Brunei	126		1		34	91	1	288	2	Mar 08
Sri Lanka	117		1		11	105	5	5	0.05	Jan 26
Nigeria	111		1		3	107		0.5	0.00	Feb 27
Palestine	109		1		18	90		21	0.2	Mar 04
Martinique	93		1			92	12	248	3	Mar 04
Montenegro	85		1			84	1	135	2	Mar 16
Bolivia	81		1			80	3	7	0.09	Mar 09
Monaco	46		1		1	44		1,172	25	Feb 27
Kenya	42		1		1	40	2	0.8	0.02	Mar 12
Guatemala	34		1		10	23	1	2	0.06	Mar 12
Jamaica	32		1		2	29		11	0.3	Mar 09
Togo	30	+5	1		1	28		4	0.1	Mar 05
Mali	18		1			17		0.9	0.05	Mar 24
Niger	18		1			17		0.7	0.04	Mar 18
Cayman Islands	12		1			11		183	15	Mar 12
Syria	9		1			8		0.5	0.06	Mar 21
Curaçao	8		1		2	5		49	6	Mar 12
Guyana	8		1			7		10	1	Mar 11
Gabon	7		1			6		3	0.4	Mar 12
Zimbabwe	7		1			6		0.5	0.07	Mar 19
Cabo Verde	6		1			5		11	2	Mar 19
Sudan	6		1			5		0.1	0.02	Mar 12
Gambia	4		1			3		2	0.4	Mar 16
Nicaragua	4		1			3		0.6	0.2	Mar 18
South Africa	1,280		2		31	1,247	7	22	0.03	Mar 04
Iceland	1,020		2		135	883	25	2,989	6	Feb 27
Costa Rica	314		2		3	309	6	62	0.4	Mar 04
Moldova	263		2		2	259	33	65	0.5	Mar 06
Uzbekistan	144		2		7	135	8	4	0.06	Mar 14
Channel Islands	108		2			106		621	12	Mar 08
Angola	7		2			5		0.2	0.06	Mar 19
Singapore	844		3		212	629	19	144	0.5	Jan 22
Estonia	679		3		20	656	10	512	2	Feb 26
UAE	570		3		58	509	2	58	0.3	Jan 28
Armenia	424		3		30	391	6	143	1	Feb 29
Taiwan	298		3		39	256		13	0.1	Jan 20
Jordan	259		3		18	238	3	25	0.3	Mar 01
Cuba	139		3		4	132	2	12	0.3	Mar 10
Venezuela	119		3		39	77	6	4	0.1	Mar 12
Honduras	110		3		3	104	4	11	0.3	Mar 10
Mauritius	107		3			104	1	84	2	Mar 17
Trinidad and Tobago	78		3		1	74		56	2	Mar 11
Paraguay	64	+5	3		1	60	3	9	0.4	Mar 06
Hong Kong	642		4		118	520	5	86	0.5	Jan 22
Bahrain	499		4		272	223	1	293	2	Feb 23
Azerbaijan	209		4		15	190	23	21	0.4	Feb 27
Afghanistan	120		4		2	114		3	0.1	Feb 23
Guadeloupe	106		4		17	85	10	265	10	Mar 12
Ghana	152		5		2	145	1	5	0.2	Mar 11
Bangladesh	48		5		15	28	1	0.3	0.03	Mar 07
Croatia	713		6		55	652	26	174	1	Feb 24
Andorra	334		6		1	327	10	4,323	78	Mar 01
Bosnia and Herzegovina	323		6		8	309	1	98	2	Mar 04
North Macedonia	259		6		3	250	1	124	3	Feb 25
Cyprus	214		6		15	193	3	177	5	Mar 08
Cameroon	139		6		5	128		5	0.2	Mar 05
Chile	2,139		7		75	2,057	7	112	0.4	Mar 02
Thailand	1,388		7		229	1,152	11	20	0.1	Jan 12
Lithuania	460		7		1	452	2	169	3	Feb 27
Russia	1,534		8		64	1,462	8	11	0.05	Jan 30
Saudi Arabia	1,299		8		66	1,225	12	37	0.2	Mar 01
Bulgaria	346		8		14	324	8	50	1	Mar 06
Tunisia	312		8		2	302	10	26	0.7	Mar 01
DRC	81		8		2	71		0.9	0.09	Mar 09
Diamond Princess	712		10		603	99	15			Feb 04
Colombia	702		10		10	682	29	14	0.2	Mar 05
Ukraine	475		10		6	459		11	0.2	Mar 02
Lebanon	438		10		30	398	4	64	1	Feb 20
Albania	212		10		33	169	3	74	3	Mar 07
Finland	1,240		11		10	1,219	32	224	2	Jan 28
Slovenia	730		11		10	709	23	351	5	Mar 03
Burkina Faso	222		12		23	187		11	0.6	Mar 08
Serbia	741		13		42	686	25	85	1	Mar 05
Hungary	408		13		34	361	6	42	1	Mar 03
Pakistan	1,597		14		29	1,554	11	7	0.06	Feb 25
Israel	4,247		15		132	4,100	74	491	2	Feb 20
Czechia	2,817		16		11	2,790	45	263	1	Feb 29
Mexico	848		16		35	797	1	7	0.1	Feb 27
Australia	4,163		17		244	3,902	28	163	0.7	Jan 24
Peru	852		18		16	818	40	26	0.5	Mar 05
Argentina	820		20		91	709		18	0.4	Mar 02
Luxembourg	1,950		21		40	1,889	25	3,115	34	Feb 28
Poland	1,862		22		7	1,833	3	49	0.6	Mar 03
San Marino	224		22		6	196	16	6,602	648	Feb 26
Panama	989		24		4	961	36	229	6	Mar 09
Norway	4,284		26		7	4,251	91	790	5	Feb 25
Morocco	479		26		13	440	1	13	0.7	Mar 01
India	1,024		27		95	902		0.7	0.02	Jan 29
Algeria	511		31		31	449		12	0.7	Feb 24
Malaysia	2,470		35		388	2,047	73	76	1	Jan 24
Greece	1,156		39		52	1,065	66	111	4	Feb 25
Dominican Republic	859		39		3	817		79	4	Feb 29
Egypt	609		40		132	437		6	0.4	Feb 13
Iraq	547		42		143	362		14	1	Feb 21
Romania	1,815		43		206	1,566	31	94	2	Feb 25
Ireland	2,615		46		5	2,564	59	530	9	Feb 28
Japan	1,866		54		424	1,388	56	15	0.4	Jan 14
Ecuador	1,924		58		3	1,863	58	109	3	Feb 28
Canada	6,320		65		573	5,682	120	167	2	Jan 24
Philippines	1,418		71		42	1,305	1	13	0.6	Jan 29
Denmark	2,395		72		1	2,322	113	413	12	Feb 26
Austria	8,788		86		479	8,223	187	976	10	Feb 24
Sweden	3,700		110		16	3,574	255	366	11	Jan 30
Indonesia	1,285		114		64	1,107		5	0.4	Mar 01
Portugal	5,962		119		43	5,800	89	585	12	Mar 01
Turkey	9,217		131		105	8,981	568	109	2	Mar 09
Brazil	4,256		136		6	4,114	296	20	0.6	Feb 24
S. Korea	9,661	+78	158	+6	5,228	4,275	59	188	3	Jan 19
Switzerland	14,829		300		1,595	12,934	301	1,713	35	Feb 24
Belgium	10,836		431		1,359	9,046	867	935	37	Feb 03
Germany	62,435		541		9,211	52,683	1,979	745	6	Jan 26
Netherlands	10,866		771		250	9,845	972	634	45	Feb 26
UK	19,522		1,228		135	18,159	163	288	18	Jan 30
USA	142,178	+131	2,484		4,559	135,135	2,970	430	8	Jan 20
France	40,174		2,606		7,202	30,366	4,632	615	40	Jan 23
Iran	38,309		2,640		12,391	23,278	3,206	456	31	Feb 18
China	81,470	+31	3,304	+4	75,700	2,466	633	57	2	Jan 10
Spain	80,110		6,803		14,709	58,598	4,165	1,713	146	Jan 30
Italy	97,689		10,779		13,030	73,880	3,906	1,616	178	Jan 29
World	722,196	+250	33,976	+10	151,766	536,454	26,681	92.7	4.4	Jan 10
Total:	722,196	+250	33,976	+10	151,766	536,454	26,681	92.7	4.4

Highlighted in green
= all cases have recovered from the infection

Highlighted in grey
= all cases have had an outcome (there are no active cases)

The "New" columns for China display the previous day changes (as China reports after the day is over). For all other countries, the "New" columns display the changes for the current day while still in progress.

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