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COVID-19, Relative by Population

The following tables show the spread of COVID-19 for a percentage of the population.
The New Cases percentage of "Last 120 days" means that the percentage of people in the skin has become infected. The percentage for the "Last 30 to 7 days" shows the percentage of the population that would still become infected in 120 days according to the growth rate. The Relative Mortality rates from last positive cases are also in percentages (with 7-day shift). This means relative percentage of patients (with 7-day shift) die from COVID-19 infection. [1] An exact description of the calculations can be found at the bottom of this page. The Total Mortality is the ratio of total deaths in COVID-19 to population.
COVID-19 World map
Last actualisation from "WHO" and "WorldoMeter": 2021-02-27 13:06
What can help, is at the bottom of this page.

COVID-19, Selected Countries

Our World in Data, (2 days late data visualization) [CASES], [DEATHS], [VACCINATION]

CD	Country	New Cases	New Deaths
AT	Austria	+2457 (+2093)	+23 (+22)
CZ	Czechia	+14676 (+14572)	+93 (+163)
DE	Germany	+0 (+9687)	+0 (+418)
HU	Hungary	+4948 (+4668)	+107 (+123)
SK	Slovakia	+2848 (+2645)	+109 (+107)

COVID-19, New Cases in Regions (incidence rate)

N.	Region	Population	Last 120 days	Last 30 days	Last 7 days
1	Europe	755 935866	3.79%	2.74%	2.84%
2	North America	591 709320	1.29%	1.42%	1.27%
3	South America	436 340128	1.23%	1.33%	1.22%
4	Asia	4 656 726343	0.88%	0.83%	0.84%
5	Africa	1 360 857227	0.36%	0.58%	0.50%
6	Australia/Oceania	43 126520	0.25%	0.05%	0.02%

COVID-19, Relative Mortality rate from positive cases in Regions

N.	Region	Population	Mortality last 120 days	Mortality last 30 days	New positive cases last 30 days
1	Africa	1 360 857227	1.93%	3.20%	0.58%
2	Asia	4 656 726343	1.94%	3.16%	0.83%
3	Europe	755 935866	1.86%	3.14%	2.74%
4	South America	436 340128	1.74%	2.52%	1.33%
5	North America	591 709320	1.26%	1.98%	1.42%
6	Australia/Oceania	43 126520	0.33%	0.75%	0.05%

COVID-19, Total Mortality from population of Regions

N.	Region	Population	Deaths	*1000Deaths/Pop.**
1	North America	591 709320	735154	1.242‰
2	Europe	755 935866	809887	1.071‰
3	South America	436 340128	463502	1.062‰
4	Asia	4 656 726343	390431	0.084‰
5	Africa	1 360 857227	103270	0.076‰
6	Australia/Oceania	43 126520	1218	0.028‰

COVID-19, New Cases in Countries

Filtered where Population more then 2 million, [All Countries] | Compare with [CASES]

N.	Region	CD	Country	Population	Last 120 days	Last 30 days	Last 7 days
1	Europe	CZ	Czechia	10 722060	8.56%	9.80%	12.97%
2	Europe	SK	Slovakia	5 461384	4.71%	4.75%	4.96%
3	Asia	LB	Lebanon	6 805266	4.29%	4.70%	4.69%
4	Asia	IL	Israel	9 197590	4.95%	6.59%	4.61%
5	Europe	SI	Slovenia	2 079126	7.60%	5.18%	4.46%
6	Asia	JO	Jordan	10 269551	3.10%	2.37%	4.39%
7	Europe	AL	Albania	2 875726	2.95%	4.26%	4.36%
8	Europe	HU	Hungary	9 644170	3.66%	2.52%	4.27%
9	Europe	RS	Serbia	8 714140	4.70%	2.95%	4.24%
10	Europe	FR	France	65 368578	3.67%	3.62%	3.90%
11	Europe	SE	Sweden	10 140634	5.23%	3.63%	3.60%
12	Europe	MD	Moldova	4 027779	2.71%	2.55%	3.47%
13	Asia	AE	Arab Emirates	9 968670	2.56%	3.85%	3.45%
14	Europe	NL	Netherlands	17 159826	4.37%	2.75%	3.18%
15	Europe	IT	Italy	60 403209	3.76%	2.57%	3.07%
16	Europe	PL	Poland	37 819286	3.64%	2.12%	2.95%
17	South America	BR	Brazil	213 551580	2.30%	2.73%	2.87%
18	Asia	KW	Kuwait	4 311878	1.49%	2.43%	2.62%
19	Europe	MK	North Macedonia	2 083318	3.47%	1.96%	2.61%
20	Europe	AT	Austria	9 040165	3.93%	2.04%	2.60%
21	North America	US	USA	332 277970	5.82%	3.50%	2.48%
22	South America	UY	Uruguay	3 481649	1.51%	1.96%	2.45%
23	Europe	BG	Bulgaria	6 913867	2.86%	1.66%	2.41%
24	South America	PE	Peru	33 272390	1.24%	2.42%	2.40%
25	Europe	LT	Lithuania	2 697111	6.80%	2.54%	2.39%
26	South America	CL	Chile	19 223871	1.61%	2.23%	2.23%
27	Asia	QA	Qatar	2 807805	1.09%	1.82%	1.96%
28	Europe	RO	Romania	19 152885	2.96%	1.61%	1.90%
29	Europe	BE	Belgium	11 622788	2.92%	2.13%	1.87%
30	Africa	BW	Botswana	2 382590	0.93%	1.29%	1.84%
31	South America	PY	Paraguay	7 189916	1.32%	1.50%	1.83%
32	North America	PA	Panama	4 359167	4.77%	2.32%	1.82%
33	Europe	BA	Bosnia and Herzegovina	3 267336	2.58%	1.24%	1.81%
34	Europe	GR	Greece	10 389436	1.47%	1.31%	1.77%
35	South America	AR	Argentina	45 467818	2.12%	1.83%	1.75%
36	Europe	GB	United Kingdom	68 120388	4.69%	2.63%	1.71%
37	Europe	IE	Ireland	4 973929	3.18%	2.18%	1.67%
38	Europe	BY	Belarus	9 447275	1.99%	1.84%	1.66%
39	Europe	UA	Ukraine	43 560183	2.21%	1.25%	1.65%
40	Europe	ES	Spain	46 766708	4.12%	3.47%	1.42%
41	Europe	PT	Portugal	10 177094	6.58%	5.26%	1.35%
42	Europe	HR	Croatia	4 088541	4.86%	1.14%	1.23%
43	Asia	TR	Turkey	84 933885	1.98%	1.10%	1.21%
44	Asia	IR	Iran	84 696825	1.20%	1.05%	1.15%
45	Asia	IQ	Iraq	40 810326	0.54%	0.71%	1.14%
46	Europe	FI	Finland	5 546387	0.73%	0.92%	1.14%
47	Europe	DE	Germany	83 960193	2.30%	1.22%	1.13%
48	Europe	CH	Switzerland	8 696178	4.49%	1.59%	1.12%
49	North America	JM	Jamaica	2 969665	0.46%	0.97%	1.09%
50	Europe	DK	Denmark	5 805619	2.86%	0.94%	1.06%
51	South America	BO	Bolivia	11 777226	0.90%	1.41%	1.06%
52	Asia	GE	Georgia	3 984117	5.85%	1.43%	1.04%
53	Europe	RU	Russia	145 975683	1.80%	1.21%	0.97%
54	Asia	MY	Malaysia	32 637502	0.81%	1.25%	0.96%
55	South America	CO	Colombia	51 238374	2.34%	1.56%	0.96%
56	Africa	NA	Namibia	2 570946	0.99%	0.80%	0.95%
57	North America	CA	Canada	37 959267	1.67%	1.07%	0.94%
58	Asia	AM	Armenia	2 966889	2.87%	0.69%	0.90%
59	North America	CR	Costa Rica	5 124632	1.90%	0.98%	0.90%
60	North America	CU	Cuba	11 322060	0.37%	0.88%	0.89%
61	South America	EC	Ecuador	17 818236	0.64%	0.82%	0.86%
62	North America	HN	Honduras	10 007574	0.73%	1.01%	0.83%
63	Africa	LY	Libya	6 932442	1.05%	0.95%	0.77%
64	Africa	GA	Gabon	2 259915	0.25%	0.71%	0.77%
65	Africa	TN	Tunisia	11 899686	1.46%	1.00%	0.75%
66	North America	DO	Dominican R.	10 919236	1.03%	1.13%	0.72%
67	Asia	OM	Oman	5 191067	0.50%	0.55%	0.69%
68	Europe	NO	Norway	5 449067	0.94%	0.62%	0.69%
69	North America	MX	Mexico	129 820722	0.89%	0.86%	0.60%
70	South America	PR	Puerto Rico	3 193694	1.13%	0.95%	0.60%
71	Asia	KZ	Kazakhstan	18 923820	0.59%	0.64%	0.44%
72	Africa	ZM	Zambia	18 718208	0.33%	0.61%	0.41%
73	Asia	ID	Indonesia	275 419507	0.33%	0.43%	0.36%
74	Asia	PS	Palestine	5 178613	0.02%	0.08%	0.35%
75	North America	GT	Guatemala	18 131879	0.37%	0.38%	0.33%
76	Africa	ZA	South Africa	59 798322	1.32%	0.54%	0.29%
77	Asia	LK	Sri Lanka	21 472289	0.34%	0.40%	0.28%
78	Asia	PH	Philippines	110 535735	0.18%	0.19%	0.23%
79	North America	SV	El Salvador	6 507717	0.40%	0.33%	0.22%
80	Africa	MZ	Mozambique	31 823930	0.14%	0.29%	0.22%
81	Asia	AZ	Azerbaijan	10 199129	1.77%	0.17%	0.20%
82	Africa	SS	South Sudan	11 279697	0.04%	0.13%	0.19%
83	South America	VE	Venezuela	28 382787	0.17%	0.19%	0.19%
84	Africa	GH	Ghana	31 495736	0.11%	0.25%	0.19%
85	Africa	SN	Senegal	17 030657	0.11%	0.20%	0.16%
86	Asia	MN	Mongolia	3 312794	0.08%	0.14%	0.15%
87	Africa	GM	Gambia	2 460743	0.04%	0.11%	0.13%
88	Africa	CG	Congo	5 606435	0.06%	0.07%	0.12%
89	Africa	MW	Malawi	19 451272	0.13%	0.21%	0.12%
90	Asia	SA	Saudi Arabia	35 168320	0.09%	0.11%	0.11%
91	Africa	MA	Morocco	37 197142	0.73%	0.16%	0.11%
92	Africa	TG	Togo	8 405019	0.05%	0.09%	0.11%
93	Africa	SO	Somalia	16 181106	0.02%	0.05%	0.11%
94	Asia	IN	India	1 388 901219	0.21%	0.10%	0.11%
95	Asia	JP	Japan	126 221005	0.26%	0.18%	0.10%
96	Africa	RW	Rwanda	13 161044	0.10%	0.14%	0.10%
97	Asia	KR	South Korea	51 298245	0.12%	0.10%	0.09%
98	Asia	KG	Kyrgyzstan	6 594529	0.42%	0.11%	0.09%
99	Africa	ET	Ethiopia	116 815749	0.05%	0.08%	0.09%
100	Africa	ER	Eritrea	3 578539	0.07%	0.09%	0.08%
101	Africa	GN	Guinea	13 364176	0.03%	0.04%	0.07%
102	Africa	EG	Egypt	103 593955	0.07%	0.07%	0.07%
103	Africa	CM	Cameroon	26 975619	0.04%	0.06%	0.07%
104	Africa	BJ	Benin	12 329565	0.02%	0.06%	0.07%
105	Asia	PK	Pakistan	223 690464	0.11%	0.07%	0.07%
106	Africa	KE	Kenya	54 542863	0.10%	0.04%	0.05%
107	Australia/Oceania	PG	Papua New Guinea	9 057618	0.01%	0.02%	0.05%
108	Africa	DZ	Algeria	44 368007	0.13%	0.06%	0.05%
109	Africa	MR	Mauritania	4 729081	0.20%	0.08%	0.04%
110	Asia	NP	Nepal	29 478959	0.37%	0.05%	0.04%
111	Africa	CI	Ivory Coast	26 803128	0.04%	0.07%	0.04%
112	Africa	ZW	Zimbabwe	15 004449	0.18%	0.10%	0.04%
113	Asia	SY	Syria	17 777245	0.06%	0.04%	0.04%
114	Africa	NG	Nigeria	209 462655	0.04%	0.06%	0.03%
115	Africa	LS	Lesotho	2 153396	0.40%	0.44%	0.03%
116	Asia	BD	Bangladesh	165 765220	0.08%	0.03%	0.03%
117	Africa	BI	Burundi	12 120463	0.01%	0.02%	0.03%
118	Asia	KH	Cambodia	16 870373	0.00%	0.01%	0.03%
119	North America	HT	Haiti	11 493566	0.03%	0.04%	0.02%
120	Africa	TD	Chad	16 731743	0.01%	0.02%	0.02%
121	Asia	SG	Singapore	5 880543	0.03%	0.04%	0.02%
122	Africa	BF	Burkina Faso	21 275518	0.04%	0.03%	0.01%
123	Africa	AO	Angola	33 528819	0.03%	0.01%	0.01%
124	Asia	TH	Thailand	69 915243	0.03%	0.06%	0.01%
125	Africa	MG	Madagascar	28 153787	0.01%	0.02%	0.01%
126	Africa	SL	Sierra Leone	8 082756	0.02%	0.03%	0.01%
127	Asia	UZ	Uzbekistan	33 786497	0.04%	0.02%	0.01%
128	Australia/Oceania	NZ	New Zealand	5 002100	0.01%	0.01%	0.01%
129	North America	NI	Nicaragua	6 676181	0.01%	0.01%	0.01%
130	Africa	ML	Mali	20 629336	0.02%	0.01%	0.01%
131	Asia	YE	Yemen	30 253881	0.00%	0.00%	0.01%
132	Africa	LR	Liberia	5 135054	0.01%	0.01%	0.01%
133	Asia	HK	Hong Kong	7 536900	0.00%	0.00%	0.01%
134	Africa	SD	Sudan	44 515697	0.04%	0.01%	0.01%
135	Africa	UG	Uganda	46 676895	0.06%	0.01%	0.01%
136	Asia	AF	Afghanistan	39 499296	0.04%	0.01%	0.01%
137	Africa	CD	DR Congo	91 326674	0.02%	0.01%	0.01%
138	Asia	MM	Myanmar	54 649361	0.17%	0.02%	0.01%
139	Asia	VN	Vietnam	97 913128	0.00%	0.00%	0.00%
140	Australia/Oceania	AU	Australia	25 693717	0.01%	0.00%	0.00%
141	Africa	NE	Niger	24 772813	0.01%	0.01%	0.00%
142	Asia	TW	Taiwan	23 845154	0.00%	0.00%	0.00%
143	Asia	KP	North Korea	25 660000	0.00%	0.00%	0.00%
144	Africa	TZ	Tanzania	60 838511	0.00%	0.00%	0.00%
145	Europe	TM	Turkmenistan	6 118000	0.00%	0.00%	0.00%
146	Asia	TJ	Tajikistan	9 677160	0.00%	0.00%	0.00%
147	Asia	CN	China	1 439 323776	0.00%	0.00%	0.00%
148	Africa	CF	Central African R.	4 884610	0.00%	0.00%	0.00%
149	Asia	LA	Laos	7 344620	0.00%	0.00%	0.00%

COVID-19, Relative Mortality rate from positive cases in Countries

Filtered where Population more then 2 million, [All Countries] | Compare with [DEATHS]! and with [FATALITY RATE]

N.	Region	CD	Country	Population	Mortality last 120 days	Mortality last 30 days	New positive cases last 30 days
1	Asia	YE	Yemen	30 253881	30.00%	(33.33)%	(0.00)%
2	Asia	NP	Nepal	29 478959	1.49%	(15.12)%	(0.05)%
3	Africa	SO	Somalia	16 181106	6.83%	(10.47)%	(0.05)%
4	North America	MX	Mexico	129 820722	8.08%	8.91%	0.86%
5	Africa	EG	Egypt	103 593955	6.13%	(8.20)%	(0.07)%
6	Africa	SD	Sudan	44 515697	6.35%	(7.35)%	(0.01)%
7	Asia	SY	Syria	17 777245	7.50%	(6.63)%	(0.04)%
8	Africa	ML	Mali	20 629336	4.44%	(6.34)%	(0.01)%
9	Europe	HU	Hungary	9 644170	3.82%	5.87%	2.52%
10	Africa	ZA	South Africa	59 798322	3.88%	5.51%	0.54%
11	Africa	ZW	Zimbabwe	15 004449	4.45%	(5.41)%	(0.10)%
12	Europe	BG	Bulgaria	6 913867	4.43%	5.27%	1.66%
13	Europe	DE	Germany	83 960193	3.02%	5.17%	1.22%
14	Europe	BA	Bosnia and Herzegovina	3 267336	4.31%	4.85%	1.24%
15	Europe	HR	Croatia	4 088541	2.38%	4.60%	1.14%
16	North America	GT	Guatemala	18 131879	3.94%	4.41%	0.38%
17	Europe	SK	Slovakia	5 461384	2.68%	4.40%	4.75%
18	Africa	NE	Niger	24 772813	2.94%	(4.26)%	(0.01)%
19	Europe	PL	Poland	37 819286	2.72%	4.15%	2.12%
20	Asia	AF	Afghanistan	39 499296	6.09%	(3.91)%	(0.01)%
21	Africa	TN	Tunisia	11 899686	3.76%	3.90%	1.00%
22	Africa	LS	Lesotho	2 153396	2.92%	3.86%	0.44%
23	Africa	GM	Gambia	2 460743	3.41%	3.57%	0.11%
24	North America	SV	El Salvador	6 507717	3.33%	3.54%	0.33%
25	Europe	GB	United Kingdom	68 120388	2.33%	3.48%	2.63%
26	Europe	IE	Ireland	4 973929	1.51%	3.46%	2.18%
27	Asia	PH	Philippines	110 535735	2.64%	3.45%	0.19%
28	Asia	TW	Taiwan	23 845154	0.51%	(3.28)%	(0.00)%
29	Europe	MK	North Macedonia	2 083318	2.93%	3.27%	1.96%
30	Africa	MW	Malawi	19 451272	3.50%	3.12%	0.21%
31	Asia	PK	Pakistan	223 690464	2.48%	(3.10)%	(0.07)%
32	South America	PE	Peru	33 272390	3.00%	3.06%	2.42%
33	South America	BO	Bolivia	11 777226	2.91%	3.04%	1.41%
34	Africa	AO	Angola	33 528819	1.93%	(3.03)%	(0.01)%
35	Europe	RO	Romania	19 152885	2.33%	3.01%	1.61%
36	Asia	JP	Japan	126 221005	1.83%	3.01%	0.18%
37	Africa	SN	Senegal	17 030657	3.18%	2.96%	0.20%
38	Europe	UA	Ukraine	43 560183	1.94%	2.90%	1.25%
39	Europe	RU	Russia	145 975683	2.17%	2.84%	1.21%
40	Europe	IT	Italy	60 403209	2.55%	2.82%	2.57%
41	Africa	MR	Mauritania	4 729081	2.93%	(2.81)%	(0.08)%
42	Africa	TD	Chad	16 731743	1.73%	(2.75)%	(0.02)%
43	South America	CO	Colombia	51 238374	2.33%	2.65%	1.56%
44	South America	EC	Ecuador	17 818236	2.66%	2.64%	0.82%
45	North America	NI	Nicaragua	6 676181	2.28%	(2.61)%	(0.01)%
46	Asia	AM	Armenia	2 966889	1.94%	2.61%	0.69%
47	Europe	GR	Greece	10 389436	3.90%	2.60%	1.31%
48	Africa	BW	Botswana	2 382590	1.43%	2.59%	1.29%
49	Europe	LT	Lithuania	2 697111	1.67%	2.47%	2.54%
50	Asia	KG	Kyrgyzstan	6 594529	1.03%	2.45%	0.11%
51	Asia	BD	Bangladesh	165 765220	1.69%	(2.44)%	(0.03)%
52	Europe	MD	Moldova	4 027779	2.04%	2.39%	2.55%
53	Asia	LB	Lebanon	6 805266	1.41%	2.38%	4.70%
54	Australia/Oceania	PG	Papua New Guinea	9 057618	1.29%	(2.36)%	(0.02)%
55	Africa	KE	Kenya	54 542863	1.57%	(2.32)%	(0.04)%
56	Europe	PT	Portugal	10 177094	2.02%	2.32%	5.26%
57	South America	PR	Puerto Rico	3 193694	3.03%	2.30%	0.95%
58	North America	US	USA	332 277970	1.43%	2.29%	3.50%
59	Asia	AZ	Azerbaijan	10 199129	1.35%	2.25%	0.17%
60	Africa	MA	Morocco	37 197142	1.71%	2.23%	0.16%
61	North America	HN	Honduras	10 007574	2.00%	2.23%	1.01%
62	South America	BR	Brazil	213 551580	1.96%	2.22%	2.73%
63	Asia	GE	Georgia	3 984117	1.32%	2.18%	1.43%
64	South America	CL	Chile	19 223871	2.13%	2.12%	2.23%
65	Asia	ID	Indonesia	275 419507	2.49%	2.12%	0.43%
66	North America	CA	Canada	37 959267	1.87%	2.08%	1.07%
67	Africa	LY	Libya	6 932442	1.75%	2.04%	0.95%
68	Europe	AT	Austria	9 040165	2.01%	2.02%	2.04%
69	North America	PA	Panama	4 359167	1.51%	2.01%	2.32%
70	Europe	DK	Denmark	5 805619	0.97%	2.00%	0.94%
71	South America	AR	Argentina	45 467818	2.15%	1.99%	1.83%
72	Europe	FR	France	65 368578	1.97%	1.97%	3.62%
73	South America	PY	Paraguay	7 189916	1.94%	1.92%	1.50%
74	Asia	MM	Myanmar	54 649361	1.99%	1.82%	0.02%
75	Europe	CZ	Czechia	10 722060	1.87%	1.81%	9.80%
76	Asia	KR	South Korea	51 298245	1.86%	1.65%	0.10%
77	Europe	BE	Belgium	11 622788	2.41%	1.60%	2.13%
78	North America	CR	Costa Rica	5 124632	1.43%	1.60%	0.98%
79	Africa	CG	Congo	5 606435	1.10%	1.55%	0.07%
80	Africa	NA	Namibia	2 570946	1.16%	1.50%	0.80%
81	Europe	ES	Spain	46 766708	1.50%	1.48%	3.47%
82	Europe	NL	Netherlands	17 159826	1.05%	1.48%	2.75%
83	Europe	AL	Albania	2 875726	1.58%	1.45%	4.26%
84	Africa	DZ	Algeria	44 368007	1.84%	1.43%	0.06%
85	North America	DO	Dominican R.	10 919236	0.77%	1.42%	1.13%
86	Africa	BJ	Benin	12 329565	1.12%	1.41%	0.06%
87	Africa	MG	Madagascar	28 153787	1.90%	1.39%	0.02%
88	Asia	SA	Saudi Arabia	35 168320	3.66%	1.36%	0.11%
89	Asia	TR	Turkey	84 933885	1.09%	1.36%	1.10%
90	Africa	ET	Ethiopia	116 815749	1.49%	1.35%	0.08%
91	Africa	CM	Cameroon	26 975619	0.87%	1.31%	0.06%
92	South America	VE	Venezuela	28 382787	1.18%	1.29%	0.19%
93	Africa	RW	Rwanda	13 161044	1.73%	1.24%	0.14%
94	Australia/Oceania	NZ	New Zealand	5 002100	0.23%	1.22%	0.01%
95	Europe	CH	Switzerland	8 696178	1.60%	1.18%	1.59%
96	Africa	ZM	Zambia	18 718208	1.26%	1.17%	0.61%
97	North America	JM	Jamaica	2 969665	1.76%	1.17%	0.97%
98	Europe	SI	Slovenia	2 079126	2.27%	1.16%	5.18%
99	Africa	LR	Liberia	5 135054	0.50%	1.15%	0.01%
100	South America	UY	Uruguay	3 481649	1.13%	1.13%	1.96%
101	Africa	CD	DR Congo	91 326674	2.86%	1.12%	0.01%
102	Africa	MZ	Mozambique	31 823930	1.22%	1.12%	0.29%
103	Asia	IR	Iran	84 696825	2.56%	1.08%	1.05%
104	Africa	GH	Ghana	31 495736	0.87%	1.07%	0.25%
105	Africa	UG	Uganda	46 676895	0.78%	1.04%	0.01%
106	Africa	SS	South Sudan	11 279697	0.94%	1.03%	0.13%
107	Africa	BF	Burkina Faso	21 275518	0.80%	1.00%	0.03%
108	Africa	NG	Nigeria	209 462655	0.85%	0.99%	0.06%
109	Asia	JO	Jordan	10 269551	1.26%	0.96%	2.37%
110	Europe	SE	Sweden	10 140634	1.31%	0.90%	3.63%
111	Europe	RS	Serbia	8 714140	0.91%	0.87%	2.95%
112	Asia	IN	India	1 388 901219	1.11%	0.81%	0.10%
113	Europe	NO	Norway	5 449067	0.67%	0.79%	0.62%
114	Asia	KZ	Kazakhstan	18 923820	1.00%	0.77%	0.64%
115	Asia	LK	Sri Lanka	21 472289	0.61%	0.73%	0.40%
116	Europe	FI	Finland	5 546387	1.01%	0.70%	0.92%
117	Africa	GN	Guinea	13 364176	0.50%	0.69%	0.04%
118	Asia	IQ	Iraq	40 810326	1.16%	0.68%	0.71%
119	Asia	IL	Israel	9 197590	0.73%	0.63%	6.59%
120	Europe	BY	Belarus	9 447275	0.53%	0.62%	1.84%
121	Africa	CI	Ivory Coast	26 803128	0.57%	0.61%	0.07%
122	Asia	OM	Oman	5 191067	1.31%	0.60%	0.55%
123	Asia	KW	Kuwait	4 311878	0.48%	0.50%	2.43%
124	North America	CU	Cuba	11 322060	0.51%	0.47%	0.88%
125	Africa	GA	Gabon	2 259915	0.60%	0.44%	0.71%
126	North America	HT	Haiti	11 493566	0.49%	0.39%	0.04%
127	Asia	AE	Arab Emirates	9 968670	0.29%	0.38%	3.85%
128	Asia	MY	Malaysia	32 637502	0.34%	0.37%	1.25%
129	Africa	TG	Togo	8 405019	0.67%	0.35%	0.09%
130	Africa	SL	Sierra Leone	8 082756	0.34%	0.25%	0.03%
131	Africa	BI	Burundi	12 120463	0.14%	0.16%	0.02%
132	Asia	QA	Qatar	2 807805	0.09%	0.08%	1.82%
133	Asia	UZ	Uzbekistan	33 786497	0.40%	0.07%	0.02%
134	Asia	TH	Thailand	69 915243	0.11%	0.06%	0.06%
135	Asia	MN	Mongolia	3 312794	0.09%	0.00%	0.14%
136	Africa	ER	Eritrea	3 578539	0.31%	0.00%	0.09%
137	Asia	SG	Singapore	5 880543	0.05%	0.00%	0.04%
138	Asia	KH	Cambodia	16 870373	0.00%	0.00%	0.01%
139	Asia	VN	Vietnam	97 913128	0.00%	0.00%	0.00%
140	Australia/Oceania	AU	Australia	25 693717	0.14%	0.00%	0.00%
141	Africa	CF	Central African R.	4 884610	0.75%	0.00%	0.00%
142	Asia	LA	Laos	7 344620	0.00%	0.00%	0.00%
143	Asia	PS	Palestine	5 178613	0.00%	0.00%	0.08%
144	Africa	TZ	Tanzania	60 838511	0.00%	0.00%	0.00%
145	Asia	KP	North Korea	25 660000	0.00%	0.00%	0.00%
146	Europe	TM	Turkmenistan	6 118000	0.00%	0.00%	0.00%
147	Asia	TJ	Tajikistan	9 677160	0.00%	0.00%	0.00%
148	Asia	CN	China	1 439 323776	0.00%	0.00%	0.00%
149	Asia	HK	Hong Kong	7 536900	0.00%	0.00%	0.00%

COVID-19, Total Mortality rate (from population) in Countries

Filtered where Population more then 2 million, [All Countries] | Compare with [DEATHS] ! and with [CUMULATIVE DEATHS]

N.	Region	CD	Country	Population	Deaths	*1000Deaths/Pop.**
1	Europe	SI	Slovenia	2 079126	4100	1.972‰
2	Europe	BE	Belgium	11 622788	22034	1.896‰
3	Europe	CZ	Czechia	10 722060	20092	1.874‰
4	Europe	GB	United Kingdom	68 120388	122415	1.797‰
5	Europe	IT	Italy	60 403209	97227	1.610‰
6	Europe	PT	Portugal	10 177094	16243	1.596‰
7	Europe	BA	Bosnia and Herzegovina	3 267336	5071	1.552‰
8	Europe	HU	Hungary	9 644170	14902	1.545‰
9	North America	US	USA	332 277970	503660	1.516‰
10	Europe	MK	North Macedonia	2 083318	3119	1.497‰
11	Europe	ES	Spain	46 766708	69142	1.478‰
12	Europe	BG	Bulgaria	6 913867	10128	1.465‰
13	North America	MX	Mexico	129 820722	183597	1.414‰
14	South America	PE	Peru	33 272390	45874	1.379‰
15	Europe	HR	Croatia	4 088541	5511	1.348‰
16	North America	PA	Panama	4 359167	5799	1.330‰
17	Europe	FR	France	65 368578	85530	1.308‰
18	Europe	SK	Slovakia	5 461384	7075	1.296‰
19	Europe	SE	Sweden	10 140634	12838	1.266‰
20	Europe	LT	Lithuania	2 697111	3233	1.199‰
21	South America	BR	Brazil	213 551580	251284	1.177‰
22	South America	CO	Colombia	51 238374	59382	1.159‰
23	Europe	PL	Poland	37 819286	43656	1.154‰
24	South America	AR	Argentina	45 467818	51772	1.139‰
25	Asia	AM	Armenia	2 966889	3190	1.075‰
26	South America	CL	Chile	19 223871	20400	1.061‰
27	Europe	CH	Switzerland	8 696178	9218	1.060‰
28	Europe	RO	Romania	19 152885	20233	1.056‰
29	South America	BO	Bolivia	11 777226	11579	0.983‰
30	Europe	MD	Moldova	4 027779	3899	0.968‰
31	Europe	AT	Austria	9 040165	8379	0.927‰
32	Europe	NL	Netherlands	17 159826	15503	0.903‰
33	South America	EC	Ecuador	17 818236	15678	0.880‰
34	Asia	GE	Georgia	3 984117	3499	0.878‰
35	Europe	IE	Ireland	4 973929	4300	0.865‰
36	Europe	DE	Germany	83 960193	69937	0.833‰
37	Africa	ZA	South Africa	59 798322	49784	0.833‰
38	Asia	IR	Iran	84 696825	59911	0.707‰
39	Asia	LB	Lebanon	6 805266	4610	0.677‰
40	Africa	TN	Tunisia	11 899686	7942	0.667‰
41	South America	PR	Puerto Rico	3 193694	2016	0.631‰
42	Europe	GR	Greece	10 389436	6439	0.620‰
43	Asia	IL	Israel	9 197590	5679	0.617‰
44	Europe	AL	Albania	2 875726	1756	0.611‰
45	Europe	UA	Ukraine	43 560183	25893	0.594‰
46	Europe	RU	Russia	145 975683	85743	0.587‰
47	North America	CA	Canada	37 959267	21857	0.576‰
48	North America	CR	Costa Rica	5 124632	2797	0.546‰
49	Europe	RS	Serbia	8 714140	4414	0.506‰
50	Asia	JO	Jordan	10 269551	4650	0.453‰
51	South America	PY	Paraguay	7 189916	3136	0.436‰
52	North America	HN	Honduras	10 007574	4094	0.409‰
53	Europe	DK	Denmark	5 805619	2353	0.405‰
54	North America	GT	Guatemala	18 131879	6348	0.350‰
55	Asia	TR	Turkey	84 933885	28432	0.335‰
56	Asia	IQ	Iraq	40 810326	13365	0.328‰
57	Asia	AZ	Azerbaijan	10 199129	3213	0.315‰
58	Africa	LY	Libya	6 932442	2174	0.314‰
59	Asia	OM	Oman	5 191067	1562	0.301‰
60	North America	SV	El Salvador	6 507717	1841	0.283‰
61	North America	DO	Dominican R.	10 919236	3082	0.282‰
62	Asia	KW	Kuwait	4 311878	1072	0.249‰
63	Africa	MA	Morocco	37 197142	8608	0.231‰
64	Asia	KG	Kyrgyzstan	6 594529	1463	0.222‰
65	Europe	BY	Belarus	9 447275	1957	0.207‰
66	Asia	SA	Saudi Arabia	35 168320	6483	0.184‰
67	Asia	KZ	Kazakhstan	18 923820	3311	0.175‰
68	South America	UY	Uruguay	3 481649	597	0.172‰
69	Africa	NA	Namibia	2 570946	418	0.163‰
70	North America	JM	Jamaica	2 969665	413	0.139‰
71	Africa	LS	Lesotho	2 153396	292	0.136‰
72	Europe	FI	Finland	5 546387	740	0.133‰
73	Africa	BW	Botswana	2 382590	310	0.130‰
74	Asia	ID	Indonesia	275 419507	35713	0.130‰
75	Asia	AE	Arab Emirates	9 968670	1197	0.120‰
76	Europe	NO	Norway	5 449067	622	0.114‰
77	Asia	IN	India	1 388 901219	156825	0.113‰
78	Asia	PH	Philippines	110 535735	12243	0.111‰
79	Africa	EG	Egypt	103 593955	10590	0.102‰
80	Africa	ZW	Zimbabwe	15 004449	1463	0.098‰
81	Asia	NP	Nepal	29 478959	2769	0.094‰
82	Africa	MR	Mauritania	4 729081	439	0.093‰
83	Asia	QA	Qatar	2 807805	257	0.091‰
84	Africa	DZ	Algeria	44 368007	2977	0.067‰
85	Asia	AF	Afghanistan	39 499296	2443	0.062‰
86	Asia	JP	Japan	126 221005	7722	0.061‰
87	Africa	GM	Gambia	2 460743	148	0.060‰
88	Asia	MM	Myanmar	54 649361	3198	0.059‰
89	Asia	SY	Syria	17 777245	1018	0.057‰
90	Asia	PK	Pakistan	223 690464	12805	0.057‰
91	Africa	ZM	Zambia	18 718208	1066	0.057‰
92	Africa	MW	Malawi	19 451272	1037	0.053‰
93	Asia	BD	Bangladesh	165 765220	8389	0.051‰
94	Africa	SN	Senegal	17 030657	860	0.051‰
95	South America	VE	Venezuela	28 382787	1335	0.047‰
96	Africa	SD	Sudan	44 515697	1878	0.042‰
97	Africa	GA	Gabon	2 259915	83	0.037‰
98	Australia/Oceania	AU	Australia	25 693717	909	0.035‰
99	Africa	KE	Kenya	54 542863	1853	0.034‰
100	Asia	MY	Malaysia	32 637502	1110	0.034‰
101	Asia	KR	South Korea	51 298245	1595	0.031‰
102	North America	CU	Cuba	11 322060	314	0.028‰
103	North America	NI	Nicaragua	6 676181	173	0.026‰
104	Africa	CG	Congo	5 606435	128	0.023‰
105	North America	HT	Haiti	11 493566	248	0.022‰
106	Asia	LK	Sri Lanka	21 472289	464	0.022‰
107	Asia	YE	Yemen	30 253881	630	0.021‰
108	Africa	ET	Ethiopia	116 815749	2340	0.020‰
109	Africa	RW	Rwanda	13 161044	258	0.020‰
110	Africa	CM	Cameroon	26 975619	523	0.019‰
111	Africa	MZ	Mozambique	31 823930	613	0.019‰
112	Africa	GH	Ghana	31 495736	594	0.019‰
113	Asia	UZ	Uzbekistan	33 786497	622	0.018‰
114	Africa	ML	Mali	20 629336	350	0.017‰
115	Africa	LR	Liberia	5 135054	85	0.017‰
116	Africa	AO	Angola	33 528819	504	0.015‰
117	Africa	SO	Somalia	16 181106	223	0.014‰
118	Africa	CF	Central African R.	4 884610	63	0.013‰
119	Africa	MG	Madagascar	28 153787	297	0.011‰
120	Africa	SL	Sierra Leone	8 082756	79	0.010‰
121	Africa	TG	Togo	8 405019	82	0.010‰
122	Asia	TJ	Tajikistan	9 677160	90	0.009‰
123	Africa	NG	Nigeria	209 462655	1902	0.009‰
124	Africa	TD	Chad	16 731743	138	0.008‰
125	Africa	SS	South Sudan	11 279697	90	0.008‰
126	Africa	CD	DR Congo	91 326674	702	0.008‰
127	Africa	UG	Uganda	46 676895	334	0.007‰
128	Africa	CI	Ivory Coast	26 803128	189	0.007‰
129	Africa	NE	Niger	24 772813	172	0.007‰
130	Africa	BF	Burkina Faso	21 275518	142	0.007‰
131	Africa	GN	Guinea	13 364176	89	0.007‰
132	Africa	BJ	Benin	12 329565	70	0.006‰
133	Australia/Oceania	NZ	New Zealand	5 002100	26	0.005‰
134	Asia	SG	Singapore	5 880543	29	0.005‰
135	Africa	ER	Eritrea	3 578539	7	0.002‰
136	Australia/Oceania	PG	Papua New Guinea	9 057618	12	0.001‰
137	Asia	TH	Thailand	69 915243	83	0.001‰
138	Asia	PS	Palestine	5 178613	6	0.001‰
139	Asia	MN	Mongolia	3 312794	2	0.001‰
140	Asia	VN	Vietnam	97 913128	35	0.000‰
141	Asia	TW	Taiwan	23 845154	9	0.000‰
142	Africa	TZ	Tanzania	60 838511	21	0.000‰
143	Africa	BI	Burundi	12 120463	3	0.000‰
144	Asia	CN	China	1 439 323776	0	0.000‰
145	Asia	KH	Cambodia	16 870373	0	0.000‰
146	Asia	KP	North Korea	25 660000	0	0.000‰
147	Europe	TM	Turkmenistan	6 118000	0	0.000‰
148	Asia	LA	Laos	7 344620	0	0.000‰
149	Asia	HK	Hong Kong	7 536900	0	0.000‰

Mi segíthet? - What can help?

* ÚV lámpa (neon) használata a helységekben.
* Azelastín: [1], [2], nálunk Szlovákiában, mint Allergodil, orr spray ismert.
* Cystus Pandalis: [4], [5] nálunk, mint Viro-Stop ismert (spray és tabletta is).
* Artemisinin + Zinc: [6] egynyáriüröm kivonat, tabletta (Nagyon jó többfajta rákbetegségre is, de konzultálni kell az orvossal, ha más gyógyszereket is szedünk).
* Ivermectin: [7] , [Ivermectin Triple Therapy Protocol for COVID-19 to Australian GP] , [Prof. Marik]
Ivermectin statisztikai adatok: [Epidemiologic Analyses on COVID-19 and Ivermectin]
Elhalálozási adatok hozzávetőleges értékei 2018: Abortusz: 56 millió, Rákbetegség: 9,6 millió.

Ivermectin

Kiszámolt értékek

Relative Mortality számolása:
mortality120 = 100 * ws_death_120_days / (ws_case_127_days - ws_case_7_days)
mortality30 = 100 * ws_death_30_days / (ws_case_37_days - ws_case_7_days)

Ahol, ws_case_7_days (30,37,120,127), mindig az utolsó leadott jelentéstől kiszámított esetek száma, tehát
- ha Hungary utolsó jelentése 2021-02-10 volt, akkor onnan van számolva neki a 7,30,37,120,127 napos új esetek száma
- ha Szlovákia utolsó jelentése 2021-02-11 volt , akkor onnan van számolva neki a 7,30,37,120,127 napos új esetek száma
Ez azt jelenti, hogy lehet egy napos eltérés Szlovákia es Hungary kiszámolt értékei közt, de ezzel nem igen lehet semmit kezdeni.
Tekintettel arra, hogy a mortalitást 30 napra számolom, az ebből következő eltéres mértéke igen kicsi.
Itt sajnos probléma van USA és JAPAN esetében is, mivel más időzónában vannak, és mindenki máskor adja le a jelentést.
A WHO ezért 1-2 napos késéssel közli az adatokat. Ezen a weboldalon a WorldoMeter-től is aktualizálom az adatokat, melyek néhány ország esetében csak 1 napos vagy fél napos késéssel jönnek.
A kiszámolt értekek szempontjábol viszont ennek nincs nagy jelentősége, mert az eltérés igen kicsi a 30 napos átlagokat illetően.

Nagyon érdekes, ha ezeket az adatokat összehasonlítjuk "Our World in Data" által kiszámolt elhalálozási adatokkal.
Ott ugyanis az összes elhalálozást veszik, nem csak a COVID-19 betegekét, amiből következtetni lehet a valódi elhalálozás mértékére, ami a COVID-19 kapcsán történik (függetlenül attól, hogy mit mondanak a COVID-19 kimutatások az adott országban). Az eltérő értékeknek több oka is lehet, például kevesebb ember kap színvonalas orvosi ellátást, vagy egyéb okok (mint például a kimutatások pontalansága) stb.

New Cases, az új esteket százalékos értékei:
case120 = 100 * ws_case_120_days / ws_population
case30 = (120/30) * 100 * ws_case_30_days / ws_population
case7 = (120/7) * 100 * ws_case_7_days / ws_population

OurWorldInData: "https://github.com/owid/covid-19-data/tree/master/public/data", Slovakia: "https://github.com/Institut-Zdravotnych-Analyz/covid19-data"