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 by Johns Hopkins University.
Last actualisation from "WHO" and "WorldoMeter": 2021-02-28 17:05
(For some countries, the data from the WHO and from "Our World in Data by Johns Hopkins University" and from "WorldoMeter" are completely different, such as: Israel.)
What can help, is at the bottom of this page. I recommend searching here "Global literature on coronavirus disease" or here "Google Scholar".

COVID-19, Selected Countries by WorldoMeter

Our World in Data, (2 days late data visualization) [CASES][DEATHS], [VACCINATION]
CDCountryNew CasesNew Deaths
AT Austria +2123 (+2457) +23 (+23)
CZ Czechia +7798 (+14751) +84 (+148)
DE Germany +1700 (+7671) +36 (+168)
HU Hungary +4469 (+4948) +72 (+107)
SK Slovakia, [*]+1815 (+2848) +114 (+109)

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

N.RegionPopulationLast 120 daysLast 30 daysLast 7 days
1 Europe 755 937091 3.78% 2.72% 2.85%
2 North America 591 721924 1.31% 1.48% 1.66%
3 South America 436 349833 1.23% 1.32% 1.24%
4 Asia 4 656 818187 0.88% 0.82% 0.86%
5 Africa 1 360 945171 0.36% 0.57% 0.44%
6 Australia/Oceania 43 127896 0.25% 0.05% 0.02%

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

N.RegionPopulationMortality last
120 days
Mortality last
30 days
New positive cases
last 30 days
1 Asia 4 656 818187 2.06% 3.44% 0.82%
2 Europe 755 937091 1.87% 3.18% 2.72%
3 Africa 1 360 945171 1.91% 3.12% 0.57%
4 South America 436 349833 1.74% 2.53% 1.32%
5 North America 591 721924 1.25% 1.99% 1.48%
6 Australia/Oceania 43 127896 0.32% 0.67% 0.05%

COVID-19, Total Mortality from population of Regions

N.RegionPopulationDeaths1000*Deaths/Pop.
1 North America 591 721924 737168 1.246
2 Europe 755 937091 811667 1.074
3 South America 436 349833 465751 1.067
4 Asia 4 656 818187 391441 0.084
5 Africa 1 360 945171 103563 0.076
6 Australia/Oceania 43 127896 1218 0.028

COVID-19, New Cases in Countries

Filtered where Population more then 2 million, [All Countries] | Compare with [CASES]
N.RegionCDCountryPopulationLast 120 daysLast 30 daysLast 7 days
1 Europe CZ Czechia 10 722114 8.50% 9.80% 13.15%
2 Europe SK Slovakia 5 461391 4.69% 4.74% 5.00%
3 Asia LB Lebanon 6 805183 4.31% 4.68% 4.89%
4 Asia JO Jordan 10 269828 3.11% 2.51% 4.79%
5 Asia IL Israel 9 197590 5.00% 6.11% 4.55%
6 Europe HU Hungary 9 644104 3.66% 2.64% 4.55%
7 Europe SE Sweden 10 140806 5.28% 3.82% 4.42%
8 Europe RS Serbia 8 714045 4.72% 3.00% 4.31%
9 Europe AL Albania 2 875717 2.98% 4.28% 4.26%
10 Europe FR France 65 368972 3.63% 3.62% 3.93%
11 Asia AE Arab Emirates 9 968996 2.57% 3.81% 3.43%
12 Europe MD Moldova 4 027754 2.70% 2.54% 3.27%
13 Europe SI Slovenia 2 079127 7.49% 4.78% 3.26%
14 Europe NL Netherlands 17 159930 4.33% 2.75% 3.19%
15 Europe IT Italy 60 402967 3.74% 2.59% 3.14%
16 Europe PL Poland 37 819173 3.61% 2.16% 3.09%
17 South America BR Brazil 213 555702 2.32% 2.72% 2.96%
18 Asia KW Kuwait 4 312050 1.50% 2.45% 2.61%
19 Europe AT Austria 9 040305 3.89% 2.06% 2.55%
20 Europe BG Bulgaria 6 913724 2.83% 1.69% 2.55%
21 South America UY Uruguay 3 481682 1.54% 1.97% 2.53%
22 Europe MK North Macedonia 2 083317 3.44% 1.95% 2.50%
23 South America PE Peru 33 273645 1.26% 2.43% 2.41%
24 Europe LT Lithuania 2 697008 6.80% 2.55% 2.40%
25 South America CL Chile 19 224319 1.63% 2.23% 2.26%
26 North America US USA 332 283263 5.79% 3.31% 2.07%
27 Europe BE Belgium 11 622926 2.81% 2.14% 2.05%
28 Asia QA Qatar 2 807805 1.10% 1.84% 1.98%
29 Europe RO Romania 19 152536 2.94% 1.61% 1.90%
30 South America AR Argentina 45 468950 2.11% 1.83% 1.87%
31 North America PA Panama 4 359353 4.77% 2.26% 1.85%
32 Europe BA Bosnia and Herzegovina 3 267281 2.58% 1.24% 1.81%
33 South America PY Paraguay 7 190156 1.32% 1.50% 1.77%
34 Europe GR Greece 10 389297 1.47% 1.33% 1.74%
35 Europe UA Ukraine 43 559469 2.20% 1.25% 1.71%
36 Europe GB United Kingdom 68 121360 4.67% 2.51% 1.63%
37 Europe BY Belarus 9 447266 1.99% 1.82% 1.61%
38 Europe IE Ireland 4 974080 3.17% 2.04% 1.59%
39 Africa BW Botswana 2 382720 0.91% 1.29% 1.33%
40 Europe HR Croatia 4 088472 4.80% 1.12% 1.27%
41 Asia TR Turkey 84 936363 1.98% 1.11% 1.24%
42 Europe PT Portugal 10 177013 6.55% 4.64% 1.21%
43 Europe FI Finland 5 546411 0.74% 0.94% 1.16%
44 Asia IR Iran 84 699762 1.20% 1.06% 1.16%
45 North America JM Jamaica 2 969701 0.47% 1.01% 1.15%
46 Asia IQ Iraq 40 812799 0.54% 0.73% 1.14%
47 Europe ES Spain 46 766757 4.10% 3.40% 1.12%
48 Europe DK Denmark 5 805675 2.85% 0.93% 1.06%
49 Asia GE Georgia 3 984097 5.82% 1.39% 1.03%
50 Europe DE Germany 83 960923 2.28% 1.16% 1.01%
51 Africa LY Libya 6 932697 1.05% 0.96% 0.99%
52 Asia OM Oman 5 191423 0.52% 0.60% 0.99%
53 South America BO Bolivia 11 777661 0.90% 1.34% 0.99%
54 Europe CH Switzerland 8 696351 4.38% 1.51% 0.99%
55 Asia AM Armenia 2 966904 2.80% 0.72% 0.96%
56 Europe RU Russia 145 975854 1.80% 1.19% 0.95%
57 Asia MY Malaysia 32 638635 0.82% 1.23% 0.95%
58 South America EC Ecuador 17 818969 0.65% 0.83% 0.94%
59 South America CO Colombia 51 239855 2.33% 1.48% 0.92%
60 North America CR Costa Rica 5 124759 1.90% 0.98% 0.89%
61 Africa NA Namibia 2 571072 1.00% 0.81% 0.89%
62 North America HN Honduras 10 008004 0.73% 1.00% 0.86%
63 North America CU Cuba 11 322041 0.37% 0.88% 0.84%
64 North America CA Canada 37 960170 1.66% 1.03% 0.84%
65 Africa GA Gabon 2 260059 0.25% 0.71% 0.77%
66 Africa TN Tunisia 11 900023 1.45% 0.95% 0.72%
67 South America PR Puerto Rico 3 193694 1.10% 0.96% 0.70%
68 North America DO Dominican R. 10 919533 1.03% 1.11% 0.68%
69 Europe NO Norway 5 449182 0.93% 0.60% 0.63%
70 North America MX Mexico 129 824421 0.90% 0.83% 0.61%
71 Asia PS Palestine 5 178937 0.03% 0.13% 0.56%
72 Asia KZ Kazakhstan 18 924434 0.58% 0.61% 0.36%
73 Asia ID Indonesia 275 427405 0.33% 0.42% 0.35%
74 North America SV El Salvador 6 507806 0.41% 0.36% 0.35%
75 Africa ZM Zambia 18 719620 0.33% 0.58% 0.33%
76 North America GT Guatemala 18 132786 0.37% 0.36% 0.29%
77 Africa ZA South Africa 59 800365 1.32% 0.50% 0.28%
78 Asia LK Sri Lanka 21 472533 0.34% 0.39% 0.25%
79 Asia PH Philippines 110 539720 0.18% 0.19% 0.22%
80 Asia AZ Azerbaijan 10 199379 1.77% 0.18% 0.22%
81 Africa MZ Mozambique 31 826331 0.14% 0.29% 0.21%
82 South America VE Venezuela 28 382567 0.17% 0.19% 0.19%
83 Africa GH Ghana 31 497512 0.11% 0.25% 0.19%
84 Africa SN Senegal 17 031867 0.11% 0.20% 0.17%
85 Africa SS South Sudan 11 280056 0.04% 0.13% 0.16%
86 Asia MN Mongolia 3 312938 0.08% 0.14% 0.15%
87 Africa CG Congo 5 606808 0.06% 0.07% 0.12%
88 Africa TG Togo 8 405551 0.05% 0.09% 0.12%
89 Asia IN India 1 388 938259 0.21% 0.11% 0.12%
90 Africa SO Somalia 16 182323 0.02% 0.05% 0.12%
91 Asia SA Saudi Arabia 35 169802 0.09% 0.11% 0.11%
92 Africa MA Morocco 37 198337 0.72% 0.15% 0.11%
93 Africa MW Malawi 19 452627 0.13% 0.20% 0.11%
94 Africa GM Gambia 2 460929 0.04% 0.11% 0.11%
95 Africa RW Rwanda 13 161924 0.10% 0.13% 0.10%
96 Asia JP Japan 126 219952 0.26% 0.17% 0.10%
97 Asia KR South Korea 51 298365 0.12% 0.10% 0.09%
98 Asia KG Kyrgyzstan 6 594823 0.41% 0.11% 0.09%
99 Africa ET Ethiopia 116 823553 0.05% 0.07% 0.08%
100 Africa ER Eritrea 3 578673 0.07% 0.09% 0.08%
101 Africa GN Guinea 13 365153 0.03% 0.04% 0.08%
102 Africa EG Egypt 103 599236 0.07% 0.07% 0.07%
103 Africa CM Cameroon 26 977430 0.04% 0.06% 0.07%
104 Africa BJ Benin 12 330435 0.02% 0.06% 0.07%
105 Asia PK Pakistan 223 702202 0.11% 0.07% 0.07%
106 Australia/Oceania PG Papua New Guinea 9 058082 0.01% 0.02% 0.05%
107 Africa DZ Algeria 44 370173 0.13% 0.06% 0.05%
108 Africa KE Kenya 54 546107 0.09% 0.04% 0.04%
109 Africa CI Ivory Coast 26 804918 0.04% 0.07% 0.04%
110 Asia NP Nepal 29 480392 0.36% 0.05% 0.04%
111 Asia SY Syria 17 778410 0.06% 0.04% 0.04%
112 Africa MR Mauritania 4 729416 0.20% 0.06% 0.04%
113 Africa NG Nigeria 209 476657 0.04% 0.05% 0.03%
114 Asia BD Bangladesh 165 769700 0.08% 0.03% 0.03%
115 Asia KH Cambodia 16 871005 0.00% 0.01% 0.03%
116 Africa ZW Zimbabwe 15 005040 0.18% 0.09% 0.03%
117 Africa BI Burundi 12 121435 0.01% 0.02% 0.03%
118 North America HT Haiti 11 493946 0.03% 0.04% 0.03%
119 Asia SG Singapore 5 880669 0.03% 0.03% 0.02%
120 Africa BF Burkina Faso 21 277090 0.04% 0.03% 0.02%
121 Africa TD Chad 16 733036 0.01% 0.02% 0.02%
122 Africa AO Angola 33 531626 0.03% 0.01% 0.01%
123 Asia TH Thailand 69 915721 0.03% 0.05% 0.01%
124 Africa MG Madagascar 28 155738 0.01% 0.02% 0.01%
125 Asia UZ Uzbekistan 33 787823 0.04% 0.02% 0.01%
126 Africa LS Lesotho 2 153442 0.40% 0.43% 0.01%
127 Australia/Oceania NZ New Zealand 5 002100 0.01% 0.01% 0.01%
128 North America NI Nicaragua 6 676396 0.01% 0.01% 0.01%
129 Africa SL Sierra Leone 8 083200 0.02% 0.03% 0.01%
130 Asia YE Yemen 30 255680 0.00% 0.00% 0.01%
131 Africa LR Liberia 5 135380 0.01% 0.01% 0.01%
132 Africa ML Mali 20 630936 0.02% 0.01% 0.01%
133 Africa SD Sudan 44 518501 0.04% 0.01% 0.01%
134 Africa UG Uganda 46 680861 0.06% 0.01% 0.01%
135 Asia AF Afghanistan 39 501697 0.04% 0.01% 0.01%
136 Asia HK Hong Kong 7 537066 0.00% 0.00% 0.01%
137 Asia MM Myanmar 54 650356 0.17% 0.02% 0.01%
138 Australia/Oceania AU Australia 25 694525 0.01% 0.00% 0.00%
139 Africa CD DR Congo 91 334147 0.02% 0.01% 0.00%
140 Asia VN Vietnam 97 915519 0.00% 0.00% 0.00%
141 Africa NE Niger 24 775222 0.01% 0.00% 0.00%
142 Asia TW Taiwan 23 845271 0.00% 0.00% 0.00%
143 Africa TZ Tanzania 60 843179 0.00% 0.00% 0.00%
144 Asia KP North Korea 25 660000 0.00% 0.00% 0.00%
145 Europe TM Turkmenistan 6 118000 0.00% 0.00% 0.00%
146 Asia TJ Tajikistan 9 677747 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 884840 0.00% 0.00% 0.00%
149 Asia LA Laos 7 344908 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.RegionCDCountryPopulationMortality last
120 days
Mortality last
30 days
New positive cases
last 30 days
1 Asia YE Yemen 30 255680 35.05% (42.86)% (0.00)%
2 Asia NP Nepal 29 480392 1.54% (15.98)% (0.05)%
3 North America MX Mexico 129 824421 8.10% 9.03% 0.83%
4 Africa SO Somalia 16 182323 6.38% (8.82)% (0.05)%
5 Africa EG Egypt 103 599236 6.14% (8.25)% (0.07)%
6 Asia SY Syria 17 778410 7.51% (6.70)% (0.04)%
7 Africa ML Mali 20 630936 4.45% (6.04)% (0.01)%
8 Europe HU Hungary 9 644104 3.81% 5.65% 2.64%
9 Africa ZA South Africa 59 800365 3.89% 5.62% 0.50%
10 Europe BG Bulgaria 6 913724 4.46% 5.29% 1.69%
11 Africa ZW Zimbabwe 15 005040 4.42% (5.21)% (0.09)%
12 Africa SD Sudan 44 518501 6.34% (5.19)% (0.01)%
13 Europe DE Germany 83 960923 3.02% 5.06% 1.16%
14 Europe BA Bosnia and Herzegovina 3 267281 4.31% 4.85% 1.24%
15 Europe HR Croatia 4 088472 2.40% 4.63% 1.12%
16 Europe SK Slovakia 5 461391 2.72% 4.56% 4.74%
17 North America GT Guatemala 18 132786 3.96% 4.45% 0.36%
18 North America SV El Salvador 6 507806 3.36% 4.04% 0.36%
19 Asia AF Afghanistan 39 501697 6.11% (4.01)% (0.01)%
20 Europe PL Poland 37 819173 2.72% 4.01% 2.16%
21 Africa NE Niger 24 775222 2.93% (3.99)% (0.00)%
22 Africa TN Tunisia 11 900023 3.76% 3.99% 0.95%
23 Africa LS Lesotho 2 153442 2.92% 3.86% 0.43%
24 Europe IE Ireland 4 974080 1.51% 3.53% 2.04%
25 Europe GB United Kingdom 68 121360 2.34% 3.48% 2.51%
26 Africa GM Gambia 2 460929 3.29% 3.39% 0.11%
27 Asia PH Philippines 110 539720 2.63% 3.34% 0.19%
28 Asia TW Taiwan 23 845271 0.51% (3.28)% (0.00)%
29 Asia JP Japan 126 219952 1.86% 3.28% 0.17%
30 Europe MK North Macedonia 2 083317 2.94% 3.25% 1.95%
31 Africa AO Angola 33 531626 1.95% (3.18)% (0.01)%
32 Asia PK Pakistan 223 702202 2.48% (3.07)% (0.07)%
33 South America PE Peru 33 273645 3.01% 3.06% 2.43%
34 South America BO Bolivia 11 777661 2.88% 3.04% 1.34%
35 Europe RO Romania 19 152536 2.33% 2.98% 1.61%
36 Europe UA Ukraine 43 559469 1.94% 2.88% 1.25%
37 Africa TD Chad 16 733036 1.73% (2.88)% (0.02)%
38 Africa SN Senegal 17 031867 3.16% 2.87% 0.20%
39 Europe RU Russia 145 975854 2.18% 2.86% 1.19%
40 Africa MW Malawi 19 452627 3.48% 2.85% 0.20%
41 Europe IT Italy 60 402967 2.56% 2.73% 2.59%
42 South America CO Colombia 51 239855 2.33% 2.70% 1.48%
43 South America EC Ecuador 17 818969 2.66% 2.63% 0.83%
44 Asia AM Armenia 2 966904 1.94% 2.62% 0.72%
45 North America NI Nicaragua 6 676396 2.28% (2.61)% (0.01)%
46 Europe GR Greece 10 389297 3.91% 2.58% 1.33%
47 Asia KG Kyrgyzstan 6 594823 1.04% 2.52% 0.11%
48 Asia BD Bangladesh 165 769700 1.70% (2.48)% (0.03)%
49 Europe LT Lithuania 2 697008 1.67% 2.47% 2.55%
50 Asia LB Lebanon 6 805183 1.41% 2.41% 4.68%
51 Europe MD Moldova 4 027754 2.04% 2.38% 2.54%
52 Africa BW Botswana 2 382720 1.37% 2.36% 1.29%
53 Europe PT Portugal 10 177013 2.02% 2.32% 4.64%
54 North America US USA 332 283263 1.43% 2.27% 3.31%
55 Africa MA Morocco 37 198337 1.72% 2.27% 0.15%
56 South America PR Puerto Rico 3 193694 3.05% 2.26% 0.96%
57 South America BR Brazil 213 555702 1.97% 2.26% 2.72%
58 North America HN Honduras 10 008004 2.01% 2.25% 1.00%
59 Asia GE Georgia 3 984097 1.32% 2.21% 1.39%
60 Africa KE Kenya 54 546107 1.55% (2.20)% (0.04)%
61 Asia AZ Azerbaijan 10 199379 1.35% 2.16% 0.18%
62 Africa MR Mauritania 4 729416 2.94% (2.11)% (0.06)%
63 South America CL Chile 19 224319 2.13% 2.10% 2.23%
64 Asia ID Indonesia 275 427405 2.49% 2.08% 0.42%
65 North America PA Panama 4 359353 1.51% 2.04% 2.26%
66 North America CA Canada 37 960170 1.87% 2.04% 1.03%
67 South America AR Argentina 45 468950 2.15% 2.02% 1.83%
68 Africa LY Libya 6 932697 1.75% 1.97% 0.96%
69 Europe FR France 65 368972 1.98% 1.97% 3.62%
70 Europe AT Austria 9 040305 2.02% 1.95% 2.06%
71 Europe DK Denmark 5 805675 0.97% 1.92% 0.93%
72 South America PY Paraguay 7 190156 1.93% 1.91% 1.50%
73 Europe CZ Czechia 10 722114 1.88% 1.84% 9.80%
74 Africa CG Congo 5 606808 1.10% 1.76% 0.07%
75 Asia MM Myanmar 54 650356 1.99% 1.71% 0.02%
76 Australia/Oceania PG Papua New Guinea 9 058082 1.12% 1.62% 0.02%
77 Asia KR South Korea 51 298365 1.86% 1.60% 0.10%
78 North America CR Costa Rica 5 124759 1.43% 1.59% 0.98%
79 Europe BE Belgium 11 622926 2.47% 1.57% 2.14%
80 Africa NA Namibia 2 571072 1.17% 1.56% 0.81%
81 Europe AL Albania 2 875717 1.58% 1.46% 4.28%
82 Europe NL Netherlands 17 159930 1.05% 1.44% 2.75%
83 Europe ES Spain 46 766757 1.49% 1.43% 3.40%
84 Africa DZ Algeria 44 370173 1.83% 1.42% 0.06%
85 Africa BJ Benin 12 330435 1.12% 1.41% 0.06%
86 North America DO Dominican R. 10 919533 0.76% 1.40% 1.11%
87 Africa MG Madagascar 28 155738 1.90% 1.39% 0.02%
88 Asia SA Saudi Arabia 35 169802 3.62% 1.38% 0.11%
89 Africa RW Rwanda 13 161924 1.75% 1.34% 0.13%
90 Australia/Oceania NZ New Zealand 5 002100 0.24% 1.33% 0.01%
91 Asia TR Turkey 84 936363 1.09% 1.32% 1.11%
92 Africa CM Cameroon 26 977430 0.87% 1.31% 0.06%
93 South America VE Venezuela 28 382567 1.17% 1.28% 0.19%
94 Africa ET Ethiopia 116 823553 1.46% 1.28% 0.07%
95 North America JM Jamaica 2 969701 1.73% 1.16% 1.01%
96 Africa LR Liberia 5 135380 0.50% 1.15% 0.01%
97 Africa ZM Zambia 18 719620 1.25% 1.15% 0.58%
98 Africa UG Uganda 46 680861 0.77% 1.15% 0.01%
99 Africa MZ Mozambique 31 826331 1.25% 1.15% 0.29%
100 Europe CH Switzerland 8 696351 1.62% 1.14% 1.51%
101 South America UY Uruguay 3 481682 1.11% 1.11% 1.97%
102 Europe SI Slovenia 2 079127 2.26% 1.08% 4.78%
103 Asia IR Iran 84 699762 2.53% 1.07% 1.06%
104 Africa BF Burkina Faso 21 277090 0.80% 1.07% 0.03%
105 Africa GH Ghana 31 497512 0.87% 1.04% 0.25%
106 Africa NG Nigeria 209 476657 0.85% 1.03% 0.05%
107 Asia JO Jordan 10 269828 1.26% 0.98% 2.51%
108 Africa CD DR Congo 91 334147 2.82% 0.95% 0.01%
109 Europe SE Sweden 10 140806 1.31% 0.89% 3.82%
110 Africa SS South Sudan 11 280056 0.82% 0.87% 0.13%
111 Europe RS Serbia 8 714045 0.91% 0.84% 3.00%
112 Asia IN India 1 388 938259 1.11% 0.81% 0.11%
113 Europe NO Norway 5 449182 0.67% 0.79% 0.60%
114 Asia KZ Kazakhstan 18 924434 1.00% 0.78% 0.61%
115 Asia OM Oman 5 191423 1.36% 0.72% 0.60%
116 Asia LK Sri Lanka 21 472533 0.62% 0.71% 0.39%
117 Asia IQ Iraq 40 812799 1.15% 0.68% 0.73%
118 Europe FI Finland 5 546411 0.99% 0.67% 0.94%
119 Africa CI Ivory Coast 26 804918 0.59% 0.67% 0.07%
120 Asia IL Israel 9 197590 0.72% 0.64% 6.11%
121 Europe BY Belarus 9 447266 0.53% 0.62% 1.82%
122 Africa GN Guinea 13 365153 0.47% 0.56% 0.04%
123 Asia KW Kuwait 4 312050 0.48% 0.51% 2.45%
124 North America CU Cuba 11 322041 0.51% 0.46% 0.88%
125 North America HT Haiti 11 493946 0.55% 0.46% 0.04%
126 Africa GA Gabon 2 260059 0.60% 0.44% 0.71%
127 Africa TG Togo 8 405551 0.68% 0.40% 0.09%
128 Asia AE Arab Emirates 9 968996 0.29% 0.38% 3.81%
129 Asia MY Malaysia 32 638635 0.34% 0.37% 1.23%
130 Africa SL Sierra Leone 8 083200 0.33% 0.26% 0.03%
131 Africa BI Burundi 12 121435 0.14% 0.16% 0.02%
132 Asia QA Qatar 2 807805 0.09% 0.09% 1.84%
133 Asia UZ Uzbekistan 33 787823 0.39% 0.07% 0.02%
134 Asia TH Thailand 69 915721 0.11% 0.06% 0.05%
135 Asia MN Mongolia 3 312938 0.09% 0.00% 0.14%
136 Africa ER Eritrea 3 578673 0.31% 0.00% 0.09%
137 Asia SG Singapore 5 880669 0.05% 0.00% 0.03%
138 Asia KH Cambodia 16 871005 0.00% 0.00% 0.01%
139 Asia VN Vietnam 97 915519 0.00% 0.00% 0.00%
140 Australia/Oceania AU Australia 25 694525 0.14% 0.00% 0.00%
141 Africa CF Central African R. 4 884840 0.75% 0.00% 0.00%
142 Asia LA Laos 7 344908 0.00% 0.00% 0.00%
143 Asia PS Palestine 5 178937 0.00% 0.00% 0.13%
144 Asia KP North Korea 25 660000 0.00% 0.00% 0.00%
145 Africa TZ Tanzania 60 843179 0.00% 0.00% 0.00%
146 Europe TM Turkmenistan 6 118000 0.00% 0.00% 0.00%
147 Asia TJ Tajikistan 9 677747 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 537066 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.RegionCDCountryPopulationDeaths 1000*Deaths/Pop.
1 Europe SI Slovenia 2 079127 4087 1.966
2 Europe BE Belgium 11 622926 22052 1.897
3 Europe CZ Czechia 10 722114 20278 1.891
4 Europe GB United Kingdom 68 121360 122705 1.801
5 Europe IT Italy 60 402967 97419 1.613
6 Europe PT Portugal 10 177013 16284 1.600
7 Europe HU Hungary 9 644104 14974 1.553
8 Europe BA Bosnia and Herzegovina 3 267281 5071 1.552
9 North America US USA 332 283263 504675 1.519
10 Europe MK North Macedonia 2 083317 3130 1.502
11 Europe ES Spain 46 766757 68813 1.471
12 Europe BG Bulgaria 6 913724 10167 1.471
13 North America MX Mexico 129 824421 184475 1.421
14 South America PE Peru 33 273645 46108 1.386
15 Europe HR Croatia 4 088472 5526 1.352
16 North America PA Panama 4 359353 5821 1.335
17 Europe SK Slovakia 5 461391 7189 1.316
18 Europe FR France 65 368972 85872 1.314
19 Europe SE Sweden 10 140806 12826 1.265
20 Europe LT Lithuania 2 697008 3234 1.199
21 South America BR Brazil 213 555702 252773 1.184
22 South America CO Colombia 51 239855 59538 1.162
23 Europe PL Poland 37 819173 43770 1.157
24 South America AR Argentina 45 468950 51946 1.142
25 Asia AM Armenia 2 966904 3192 1.076
26 South America CL Chile 19 224319 20496 1.066
27 Europe CH Switzerland 8 696351 9224 1.061
28 Europe RO Romania 19 152536 20296 1.060
29 South America BO Bolivia 11 777661 11596 0.985
30 Europe MD Moldova 4 027754 3924 0.974
31 Europe AT Austria 9 040305 8397 0.929
32 Europe NL Netherlands 17 159930 15523 0.905
33 South America EC Ecuador 17 818969 15735 0.883
34 Asia GE Georgia 3 984097 3510 0.881
35 Europe IE Ireland 4 974080 4313 0.867
36 Africa ZA South Africa 59 800365 49941 0.835
37 Europe DE Germany 83 960923 69924 0.833
38 Asia IR Iran 84 699762 59992 0.708
39 Asia LB Lebanon 6 805183 4652 0.684
40 Africa TN Tunisia 11 900023 7974 0.670
41 South America PR Puerto Rico 3 193694 2023 0.633
42 Asia IL Israel 9 197590 5738 0.624
43 Europe GR Greece 10 389297 6475 0.623
44 Europe AL Albania 2 875717 1775 0.617
45 Europe UA Ukraine 43 559469 25982 0.597
46 Europe RU Russia 145 975854 86122 0.590
47 North America CA Canada 37 960170 21885 0.577
48 North America CR Costa Rica 5 124759 2796 0.546
49 Europe RS Serbia 8 714045 4428 0.508
50 Asia JO Jordan 10 269828 4676 0.455
51 South America PY Paraguay 7 190156 3150 0.438
52 North America HN Honduras 10 008004 4123 0.412
53 Europe DK Denmark 5 805675 2356 0.406
54 North America GT Guatemala 18 132786 6367 0.351
55 Asia TR Turkey 84 936363 28503 0.336
56 Asia IQ Iraq 40 812799 13388 0.328
57 Asia AZ Azerbaijan 10 199379 3215 0.315
58 Africa LY Libya 6 932697 2179 0.314
59 Asia OM Oman 5 191423 1570 0.302
60 North America SV El Salvador 6 507806 1848 0.284
61 North America DO Dominican R. 10 919533 3089 0.283
62 Asia KW Kuwait 4 312050 1078 0.250
63 Africa MA Morocco 37 198337 8615 0.232
64 Asia KG Kyrgyzstan 6 594823 1464 0.222
65 Europe BY Belarus 9 447266 1967 0.208
66 Asia SA Saudi Arabia 35 169802 6489 0.184
67 Asia KZ Kazakhstan 18 924434 3311 0.175
68 South America UY Uruguay 3 481682 597 0.172
69 Africa NA Namibia 2 571072 422 0.164
70 North America JM Jamaica 2 969701 418 0.141
71 Africa LS Lesotho 2 153442 292 0.136
72 Europe FI Finland 5 546411 742 0.134
73 Asia ID Indonesia 275 427405 35971 0.131
74 Africa BW Botswana 2 382720 310 0.130
75 Asia AE Arab Emirates 9 968996 1206 0.121
76 Europe NO Norway 5 449182 622 0.114
77 Asia IN India 1 388 938259 156976 0.113
78 Asia PH Philippines 110 539720 12276 0.111
79 Africa EG Egypt 103 599236 10639 0.103
80 Africa ZW Zimbabwe 15 005040 1458 0.097
81 Asia NP Nepal 29 480392 2772 0.094
82 Africa MR Mauritania 4 729416 440 0.093
83 Asia QA Qatar 2 807805 258 0.092
84 Africa DZ Algeria 44 370173 2979 0.067
85 Asia JP Japan 126 219952 7860 0.062
86 Asia AF Afghanistan 39 501697 2444 0.062
87 Africa GM Gambia 2 460929 147 0.060
88 Asia MM Myanmar 54 650356 3198 0.059
89 Asia SY Syria 17 778410 1023 0.058
90 Asia PK Pakistan 223 702202 12827 0.057
91 Africa ZM Zambia 18 719620 1069 0.057
92 Africa MW Malawi 19 452627 1041 0.053
93 Asia BD Bangladesh 165 769700 8403 0.051
94 Africa SN Senegal 17 031867 864 0.051
95 South America VE Venezuela 28 382567 1337 0.047
96 Africa SD Sudan 44 518501 1880 0.042
97 Africa GA Gabon 2 260059 83 0.037
98 Australia/Oceania AU Australia 25 694525 909 0.035
99 Asia MY Malaysia 32 638635 1120 0.034
100 Africa KE Kenya 54 546107 1849 0.034
101 Asia KR South Korea 51 298365 1603 0.031
102 North America CU Cuba 11 322041 318 0.028
103 North America NI Nicaragua 6 676396 173 0.026
104 Africa CG Congo 5 606808 128 0.023
105 North America HT Haiti 11 493946 250 0.022
106 Asia LK Sri Lanka 21 472533 464 0.022
107 Asia YE Yemen 30 255680 634 0.021
108 Africa ET Ethiopia 116 823553 2335 0.020
109 Africa MZ Mozambique 31 826331 631 0.020
110 Africa RW Rwanda 13 161924 261 0.020
111 Africa CM Cameroon 26 977430 523 0.019
112 Africa GH Ghana 31 497512 599 0.019
113 Asia UZ Uzbekistan 33 787823 622 0.018
114 Africa ML Mali 20 630936 352 0.017
115 Africa LR Liberia 5 135380 85 0.017
116 Africa AO Angola 33 531626 506 0.015
117 Africa SO Somalia 16 182323 231 0.014
118 Africa CF Central African R. 4 884840 63 0.013
119 Africa MG Madagascar 28 155738 297 0.011
120 Africa TG Togo 8 405551 83 0.010
121 Africa SL Sierra Leone 8 083200 79 0.010
122 Asia TJ Tajikistan 9 677747 90 0.009
123 Africa NG Nigeria 209 476657 1905 0.009
124 Africa TD Chad 16 733036 139 0.008
125 Africa SS South Sudan 11 280056 87 0.008
126 Africa CD DR Congo 91 334147 700 0.008
127 Africa UG Uganda 46 680861 334 0.007
128 Africa CI Ivory Coast 26 804918 192 0.007
129 Africa NE Niger 24 775222 172 0.007
130 Africa BF Burkina Faso 21 277090 142 0.007
131 Africa GN Guinea 13 365153 88 0.007
132 Africa BJ Benin 12 330435 70 0.006
133 Australia/Oceania NZ New Zealand 5 002100 26 0.005
134 Asia SG Singapore 5 880669 29 0.005
135 Asia PS Palestine 5 178937 17 0.003
136 Africa ER Eritrea 3 578673 7 0.002
137 Australia/Oceania PG Papua New Guinea 9 058082 12 0.001
138 Asia TH Thailand 69 915721 83 0.001
139 Asia MN Mongolia 3 312938 2 0.001
140 Asia VN Vietnam 97 915519 35 0.000
141 Asia TW Taiwan 23 845271 9 0.000
142 Africa TZ Tanzania 60 843179 21 0.000
143 Africa BI Burundi 12 121435 3 0.000
144 Asia HK Hong Kong 7 537066 1 0.000
145 Asia CN China 1 439 323776 0 0.000
146 Asia KH Cambodia 16 871005 0 0.000
147 Asia KP North Korea 25 660000 0 0.000
148 Europe TM Turkmenistan 6 118000 0 0.000
149 Asia LA Laos 7 344908 0 0.000

Elhalálozási adatok hozzávetőleges értékei 2018: Abortusz: 56 millió, Rákbetegség: 9,6 millió.

Mi segíthet? - What can help? Above all, active prevention.

* ÚV lámpa (neon) használata a helységekben.
* Azelastine: [1], [2], nálunk Szlovákiában, mint Allergodil, orr spray ismert. (5ml recept nélkül vásárolható)
* Cystus Pandalis: [4], [5] nálunk, mint ViroStop 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).
* Inosine pranobex: [9]
* Ivermectin: [7] , [Ivermectin Triple Therapy Protocol for COVID-19 to Australian GP] , [Prof. Marik]
Ivermectin statisztikai adatok: [Epidemiologic Analyses on COVID-19 and Ivermectin] , [Dr. Thomas Borody, Australia] , [CZ]

UV lampa D3 Allergodil ViroStop Artemisinin Artemisinin Zinc Inosine Ivermectin

This information has been compiled based on thousands of scientific studies. Anyone can check this here: Google Scholar...

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 átlagon felüli 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. Az is nagyon érdekes, ha összehasonlítjuk Izrael mortalitási adatatit más országokéval pl. Szlovákiával, akkor látható, hogy Izreaelben sokkal jobb eredményeket érnek el. Ez a vakcinázást megelőzően is igaz.

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"