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]
The Total Mortality is the ratio of total deaths in COVID-19 to population.
An exact description of the calculations can be found at the bottom of this page.
COVID-19 World map by Johns Hopkins University.
Last actualisation
from "WHO" and
"WorldoMeter": 2022-06-14 11:23
(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]CD | Country | New Cases | New Deaths |
---|---|---|---|
AT | Austria | +0 (+2 905) | +0 (+2) |
CZ | Czechia | +459 (+61) | +0 (+0) |
DE | Germany | +0 (+38 664) | +0 (+30) |
HU | Hungary | +0 (+0) | +0 (+0) |
PL | Poland | +321 (+45) | +9 (+0) |
SK | Slovakia, [gov], [okr] | +206 (+28) | +3 (+0) |
COVID-19, New Cases in Regions (incidence rate)
N. | Region | Population | Last 120 days | Last 30 days | Last 7 days |
---|---|---|---|---|---|
1 | Australia/Oceania | 43 789 847 | 14.67% | 12.00% | 7.68% |
2 | Europe | 756 513 313 | 7.07% | 2.17% | 2.07% |
3 | North America | 597 658 595 | 1.47% | 2.01% | 1.52% |
4 | South America | 440 920 772 | 1.47% | 1.14% | 0.99% |
5 | Asia | 4 700 205 500 | 0.97% | 0.35% | 0.30% |
6 | Africa | 1 402 366 450 | 0.07% | 0.05% | 0.03% |
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 | 1 402 366 450 | 0.99% | (0.83)% | (0.05)% |
2 | North America | 597 658 595 | 1.01% | 0.42% | 2.01% |
3 | South America | 440 920 772 | 0.77% | 0.42% | 1.14% |
4 | Europe | 756 513 313 | 0.28% | 0.41% | 2.17% |
5 | Asia | 4 700 205 500 | 0.23% | 0.22% | 0.35% |
6 | Australia/Oceania | 43 789 847 | 0.09% | 0.15% | 12.00% |
COVID-19, Total Mortality from population of Regions
N. | Region | Population | Deaths | 1000*Deaths/Pop. |
---|---|---|---|---|
1 | South America | 440 920 772 | 1 304 837 | 2.959‰ |
2 | Europe | 756 513 313 | 1 849 043 | 2.444‰ |
3 | North America | 597 658 595 | 1 443 299 | 2.415‰ |
4 | Australia/Oceania | 43 789 847 | 13 387 | 0.306‰ |
5 | Asia | 4 700 205 500 | 1 429 806 | 0.304‰ |
6 | Africa | 1 402 366 450 | 255 421 | 0.182‰ |
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 | Asia | TW | Taiwan | 23 900 579 | 12.48% | 37.41% | 33.19% |
2 | Australia/Oceania | NZ | New Zealand | 5 002 100 | 24.42% | 16.25% | 14.45% |
3 | Europe | PT | Portugal | 10 138 920 | 17.24% | 25.87% | 13.55% |
4 | Australia/Oceania | AU | Australia | 26 075 142 | 19.44% | 16.81% | 10.00% |
5 | South America | PR | Puerto Rico | 3 193 694 | 7.44% | 14.06% | 7.26% |
6 | Asia | IL | Israel | 9 326 000 | 7.99% | 3.77% | 6.73% |
7 | Asia | SG | Singapore | 5 939 801 | 14.72% | 6.96% | 6.49% |
8 | Europe | DE | Germany | 84 304 782 | 16.95% | 4.97% | 6.21% |
9 | Europe | FR | France | 65 554 307 | 11.98% | 3.97% | 5.45% |
10 | Europe | GR | Greece | 10 324 103 | 12.95% | 4.48% | 5.00% |
11 | Europe | AT | Austria | 9 106 310 | 22.71% | 3.86% | 4.68% |
12 | Europe | IT | Italy | 60 289 007 | 9.22% | 4.20% | 4.24% |
13 | North America | PA | Panama | 4 446 824 | 3.19% | 7.21% | 3.69% |
14 | South America | CL | Chile | 19 435 247 | 6.03% | 3.95% | 3.25% |
15 | Africa | BW | Botswana | 2 443 936 | 2.04% | 0.69% | 2.61% |
16 | North America | US | USA | 334 776 423 | 2.13% | 3.20% | 2.51% |
17 | Asia | KR | South Korea | 51 354 960 | 32.78% | 3.56% | 2.14% |
18 | Europe | DK | Denmark | 5 831 858 | 14.03% | 1.22% | 2.01% |
19 | Europe | SI | Slovenia | 2 079 493 | 8.66% | 1.70% | 1.64% |
20 | South America | BR | Brazil | 215 497 163 | 1.82% | 1.28% | 1.56% |
21 | Asia | QA | Qatar | 2 807 805 | 0.78% | 0.95% | 1.51% |
22 | Asia | JP | Japan | 125 723 891 | 4.10% | 2.30% | 1.43% |
23 | Europe | FI | Finland | 5 557 453 | 9.35% | 2.70% | 1.32% |
24 | Asia | AE | Arab Emirates | 10 122 743 | 0.50% | 0.66% | 1.24% |
25 | Europe | NL | Netherlands | 17 208 579 | 13.77% | 0.82% | 0.97% |
26 | Asia | HK | Hong Kong | 7 615 239 | 15.72% | 0.61% | 0.95% |
27 | Europe | BE | Belgium | 11 687 686 | 6.19% | 1.54% | 0.89% |
28 | Europe | IE | Ireland | 5 045 028 | 6.40% | 2.78% | 0.77% |
29 | Europe | HR | Croatia | 4 056 066 | 3.01% | 0.86% | 0.74% |
30 | Europe | LT | Lithuania | 2 648 498 | 9.22% | 0.55% | 0.63% |
31 | Asia | MY | Malaysia | 33 172 274 | 4.49% | 0.63% | 0.62% |
32 | Europe | GB | United Kingdom | 68 579 336 | 5.79% | 1.05% | 0.62% |
33 | Asia | KW | Kuwait | 4 393 366 | 0.84% | 0.32% | 0.59% |
34 | Asia | MN | Mongolia | 3 380 931 | 1.17% | 0.60% | 0.53% |
35 | Europe | NO | Norway | 5 503 661 | 7.24% | 0.49% | 0.49% |
36 | North America | JM | Jamaica | 2 986 295 | 0.44% | 1.01% | 0.49% |
37 | North America | CA | Canada | 38 385 559 | 1.82% | 0.75% | 0.45% |
38 | Asia | TH | Thailand | 70 140 482 | 2.68% | 0.65% | 0.42% |
39 | Europe | ES | Spain | 46 789 983 | 3.59% | 2.42% | 0.38% |
40 | Asia | LB | Lebanon | 6 766 038 | 1.25% | 0.19% | 0.34% |
41 | Europe | RS | Serbia | 8 668 966 | 2.07% | 0.37% | 0.34% |
42 | Asia | SA | Saudi Arabia | 35 867 993 | 0.14% | 0.23% | 0.32% |
43 | Europe | SK | Slovakia | 5 464 783 | 9.91% | 0.32% | 0.32% |
44 | Europe | CZ | Czechia | 10 747 604 | 4.82% | 0.28% | 0.31% |
45 | Europe | HU | Hungary | 9 612 671 | 2.35% | 0.48% | 0.29% |
46 | Africa | NA | Namibia | 2 630 367 | 0.32% | 0.76% | 0.29% |
47 | Europe | RU | Russia | 146 056 108 | 2.79% | 0.33% | 0.28% |
48 | North America | DO | Dominican R. | 11 059 420 | 0.18% | 0.32% | 0.27% |
49 | Africa | MA | Morocco | 37 761 188 | 0.06% | 0.11% | 0.26% |
50 | Africa | ZA | South Africa | 60 762 580 | 0.55% | 0.60% | 0.26% |
51 | Europe | MK | North Macedonia | 2 083 208 | 1.23% | 0.37% | 0.26% |
52 | North America | GT | Guatemala | 18 559 873 | 0.72% | 0.34% | 0.26% |
53 | Europe | BG | Bulgaria | 6 846 797 | 1.90% | 0.33% | 0.25% |
54 | Asia | GE | Georgia | 3 974 283 | 5.14% | 0.23% | 0.22% |
55 | Europe | AL | Albania | 2 871 689 | 0.30% | 0.17% | 0.20% |
56 | South America | BO | Bolivia | 11 982 608 | 0.23% | 0.19% | 0.19% |
57 | Europe | RO | Romania | 18 988 290 | 1.85% | 0.21% | 0.19% |
58 | South America | EC | Ecuador | 18 163 935 | 0.51% | 0.32% | 0.18% |
59 | Europe | CH | Switzerland | 8 777 680 | 12.53% | 1.28% | 0.18% |
60 | Europe | SE | Sweden | 10 221 702 | 1.06% | 0.23% | 0.17% |
61 | South America | PE | Peru | 33 864 868 | 0.45% | 0.20% | 0.14% |
62 | Asia | VN | Vietnam | 99 041 436 | 8.30% | 0.15% | 0.11% |
63 | North America | MX | Mexico | 131 566 572 | 0.17% | 0.14% | 0.11% |
64 | North America | SV | El Salvador | 6 549 835 | 0.44% | 0.12% | 0.10% |
65 | Africa | TN | Tunisia | 12 059 066 | 0.65% | 0.08% | 0.09% |
66 | Asia | OM | Oman | 5 359 090 | 0.47% | 0.03% | 0.09% |
67 | Africa | ZM | Zambia | 19 384 745 | 0.07% | 0.05% | 0.07% |
68 | Europe | PL | Poland | 37 766 035 | 1.58% | 0.07% | 0.06% |
69 | Asia | IN | India | 1 406 384 242 | 0.04% | 0.03% | 0.06% |
70 | Europe | BA | Bosnia and Herzegovina | 3 241 159 | 0.44% | 0.07% | 0.06% |
71 | Asia | IQ | Iraq | 41 977 141 | 0.13% | 0.04% | 0.05% |
72 | Africa | LS | Lesotho | 2 175 268 | 0.06% | 0.09% | 0.04% |
73 | Africa | ZW | Zimbabwe | 15 283 591 | 0.15% | 0.13% | 0.04% |
74 | Asia | PH | Philippines | 112 416 830 | 0.05% | 0.02% | 0.03% |
75 | Africa | GA | Gabon | 2 327 828 | 0.01% | 0.02% | 0.03% |
76 | Africa | KE | Kenya | 56 073 862 | 0.01% | 0.02% | 0.02% |
77 | Asia | ID | Indonesia | 279 147 249 | 0.45% | 0.02% | 0.02% |
78 | Africa | ET | Ethiopia | 120 499 230 | 0.01% | 0.02% | 0.02% |
79 | Asia | IR | Iran | 86 083 213 | 0.50% | 0.03% | 0.02% |
80 | Africa | RW | Rwanda | 13 576 353 | 0.01% | 0.01% | 0.02% |
81 | Asia | AF | Afghanistan | 40 632 673 | 0.03% | 0.02% | 0.02% |
82 | Africa | MZ | Mozambique | 32 957 580 | 0.01% | 0.01% | 0.02% |
83 | North America | HN | Honduras | 10 210 881 | 0.20% | 0.05% | 0.02% |
84 | Asia | LA | Laos | 7 480 827 | 0.95% | 0.04% | 0.02% |
85 | North America | CU | Cuba | 11 313 177 | 0.40% | 0.04% | 0.01% |
86 | Asia | AZ | Azerbaijan | 10 316 866 | 0.53% | 0.01% | 0.01% |
87 | Africa | SO | Somalia | 16 755 128 | 0.00% | 0.00% | 0.01% |
88 | Africa | GW | Guinea-Bissau | 2 058 422 | 0.02% | 0.02% | 0.01% |
89 | South America | VE | Venezuela | 28 279 333 | 0.07% | 0.02% | 0.01% |
90 | North America | NI | Nicaragua | 6 777 797 | 0.01% | 0.01% | 0.01% |
91 | Africa | CI | Ivory Coast | 27 648 050 | 0.00% | 0.01% | 0.01% |
92 | Asia | KZ | Kazakhstan | 19 213 392 | 0.09% | 0.01% | 0.01% |
93 | Africa | TG | Togo | 8 655 912 | 0.01% | 0.01% | 0.01% |
94 | Africa | MR | Mauritania | 4 887 233 | 0.01% | 0.03% | 0.01% |
95 | Africa | LY | Libya | 7 052 961 | 0.50% | 0.01% | 0.01% |
96 | Asia | LK | Sri Lanka | 21 587 805 | 0.17% | 0.01% | 0.01% |
97 | Asia | UZ | Uzbekistan | 34 412 290 | 0.02% | 0.01% | 0.01% |
98 | Africa | BI | Burundi | 12 579 153 | 0.03% | 0.03% | 0.01% |
99 | Asia | BD | Bangladesh | 167 879 547 | 0.03% | 0.00% | 0.01% |
100 | Australia/Oceania | PG | Papua New Guinea | 9 276 518 | 0.06% | 0.03% | 0.01% |
101 | Africa | MW | Malawi | 20 090 863 | 0.01% | 0.00% | 0.01% |
102 | Asia | PK | Pakistan | 229 230 939 | 0.02% | 0.00% | 0.00% |
103 | Africa | UG | Uganda | 48 548 800 | 0.00% | 0.00% | 0.00% |
104 | Asia | NP | Nepal | 30 155 659 | 0.02% | 0.00% | 0.00% |
105 | Africa | DZ | Algeria | 45 390 507 | 0.01% | 0.00% | 0.00% |
106 | Asia | SY | Syria | 18 327 090 | 0.02% | 0.00% | 0.00% |
107 | Africa | NG | Nigeria | 216 071 476 | 0.00% | 0.00% | 0.00% |
108 | Africa | SS | South Sudan | 11 448 890 | 0.01% | 0.00% | 0.00% |
109 | Africa | SN | Senegal | 17 601 640 | 0.00% | 0.00% | 0.00% |
110 | Asia | MM | Myanmar | 55 118 982 | 0.12% | 0.00% | 0.00% |
111 | Africa | SD | Sudan | 45 839 520 | 0.01% | 0.00% | 0.00% |
112 | Africa | ML | Mali | 21 384 618 | 0.00% | 0.00% | 0.00% |
113 | Europe | MD | Moldova | 4 015 739 | 0.84% | 0.11% | 0.00% |
114 | Africa | BF | Burkina Faso | 22 017 453 | 0.00% | 0.00% | 0.00% |
115 | Asia | YE | Yemen | 31 102 983 | 0.00% | 0.00% | 0.00% |
116 | South America | PY | Paraguay | 7 302 885 | 0.42% | 0.07% | 0.00% |
117 | Africa | LR | Liberia | 5 288 769 | 0.00% | 0.00% | 0.00% |
118 | South America | UY | Uruguay | 3 497 135 | 4.83% | 3.71% | 0.00% |
119 | South America | AR | Argentina | 46 002 135 | 1.14% | 1.52% | 0.00% |
120 | Europe | UA | Ukraine | 43 223 130 | 1.13% | 0.08% | 0.00% |
121 | Africa | ER | Eritrea | 3 641 853 | 0.00% | 0.00% | 0.00% |
122 | Africa | AO | Angola | 34 853 471 | 0.00% | 0.00% | 0.00% |
123 | Asia | KP | North Korea | 25 660 000 | 0.00% | 0.00% | 0.00% |
124 | Africa | TZ | Tanzania | 63 041 475 | 0.00% | 0.01% | 0.00% |
125 | Africa | EG | Egypt | 106 086 832 | 0.06% | 0.00% | 0.00% |
126 | Asia | KH | Cambodia | 17 168 838 | 0.08% | 0.00% | 0.00% |
127 | Asia | TR | Turkey | 86 103 597 | 2.60% | 0.10% | 0.00% |
128 | Asia | AM | Armenia | 2 974 010 | 0.56% | 0.01% | 0.00% |
129 | Asia | KG | Kyrgyzstan | 6 733 469 | 0.01% | 0.00% | 0.00% |
130 | Europe | TM | Turkmenistan | 6 118 000 | 0.00% | 0.00% | 0.00% |
131 | Asia | TJ | Tajikistan | 9 954 095 | 0.00% | 0.00% | 0.00% |
132 | Asia | JO | Jordan | 10 400 076 | 2.37% | 0.05% | 0.00% |
133 | Africa | TD | Chad | 17 342 051 | 0.00% | 0.00% | 0.00% |
134 | North America | CR | Costa Rica | 5 184 562 | 2.85% | 2.99% | 0.00% |
135 | South America | CO | Colombia | 51 937 378 | 0.19% | 0.11% | 0.00% |
136 | Africa | NE | Niger | 25 909 734 | 0.00% | 0.00% | 0.00% |
137 | Asia | CN | China | 1 439 323 776 | 0.00% | 0.00% | 0.00% |
138 | Africa | CM | Cameroon | 27 830 381 | 0.00% | 0.00% | 0.00% |
139 | Africa | SL | Sierra Leone | 8 292 350 | 0.00% | 0.00% | 0.00% |
140 | Africa | CG | Congo | 5 782 115 | 0.01% | 0.01% | 0.00% |
141 | Africa | CF | Central African R. | 4 993 027 | 0.00% | 0.00% | 0.00% |
142 | North America | HT | Haiti | 11 672 793 | 0.01% | 0.01% | 0.00% |
143 | Europe | BY | Belarus | 9 443 281 | 1.69% | 0.00% | 0.00% |
144 | Africa | CD | DR Congo | 94 853 927 | 0.00% | 0.01% | 0.00% |
145 | Africa | MG | Madagascar | 29 074 832 | 0.01% | 0.00% | 0.00% |
146 | Asia | PS | Palestine | 5 331 948 | 0.00% | 0.00% | 0.00% |
147 | Africa | BJ | Benin | 12 740 457 | 0.00% | 0.01% | 0.00% |
148 | Africa | GN | Guinea | 13 825 236 | 0.00% | 0.00% | 0.00% |
149 | Africa | GM | Gambia | 2 548 640 | 0.00% | 0.00% | 0.00% |
150 | Africa | GH | Ghana | 32 333 890 | 0.01% | 0.01% | 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 | Africa | EG | Egypt | 106 086 832 | 1.86% | (27.57)% | (0.00)% |
2 | Africa | SD | Sudan | 45 839 520 | 36.05% | (5.00)% | (0.00)% |
3 | Africa | TZ | Tanzania | 63 041 475 | 2.84% | (3.49)% | (0.01)% |
4 | Africa | MW | Malawi | 20 090 863 | 3.98% | (3.48)% | (0.00)% |
5 | North America | NI | Nicaragua | 6 777 797 | 2.22% | (3.45)% | (0.01)% |
6 | Africa | TN | Tunisia | 12 059 066 | 1.54% | (3.38)% | (0.08)% |
7 | Asia | AZ | Azerbaijan | 10 316 866 | 0.68% | (2.99)% | (0.01)% |
8 | North America | GT | Guatemala | 18 559 873 | 1.05% | 2.89% | 0.34% |
9 | Europe | MD | Moldova | 4 015 739 | 1.17% | 2.58% | 0.11% |
10 | Asia | LK | Sri Lanka | 21 587 805 | 1.57% | (2.28)% | (0.01)% |
11 | Europe | BG | Bulgaria | 6 846 797 | 1.64% | 2.27% | 0.33% |
12 | Asia | ID | Indonesia | 279 147 249 | 0.74% | (2.23)% | (0.02)% |
13 | Africa | BW | Botswana | 2 443 936 | 0.20% | 2.22% | 0.69% |
14 | Europe | NO | Norway | 5 503 661 | 0.29% | 2.15% | 0.49% |
15 | Europe | BA | Bosnia and Herzegovina | 3 241 159 | 3.53% | (2.11)% | (0.07)% |
16 | Europe | PL | Poland | 37 766 035 | 1.00% | (2.00)% | (0.07)% |
17 | South America | PY | Paraguay | 7 302 885 | 2.16% | 1.94% | 0.07% |
18 | Europe | RU | Russia | 146 056 108 | 0.73% | 1.89% | 0.33% |
19 | South America | PE | Peru | 33 864 868 | 2.20% | 1.77% | 0.20% |
20 | Asia | AM | Armenia | 2 974 010 | 1.39% | 1.74% | 0.01% |
21 | Asia | IR | Iran | 86 083 213 | 1.17% | 1.68% | 0.03% |
22 | Africa | ML | Mali | 21 384 618 | 2.09% | 1.63% | 0.00% |
23 | Asia | LB | Lebanon | 6 766 038 | 0.47% | 1.62% | 0.19% |
24 | Europe | SE | Sweden | 10 221 702 | 1.12% | 1.60% | 0.23% |
25 | Europe | SK | Slovakia | 5 464 783 | 0.30% | 1.47% | 0.32% |
26 | Europe | HU | Hungary | 9 612 671 | 1.39% | 1.37% | 0.48% |
27 | Asia | AF | Afghanistan | 40 632 673 | 1.48% | 1.30% | 0.02% |
28 | Europe | UA | Ukraine | 43 223 130 | 0.79% | 1.29% | 0.08% |
29 | Africa | MG | Madagascar | 29 074 832 | 2.00% | 1.24% | 0.00% |
30 | North America | CA | Canada | 38 385 559 | 0.83% | 1.21% | 0.75% |
31 | North America | JM | Jamaica | 2 986 295 | 2.62% | 1.01% | 1.01% |
32 | Africa | UG | Uganda | 48 548 800 | 1.03% | 0.94% | 0.00% |
33 | Europe | RO | Romania | 18 988 290 | 0.81% | 0.91% | 0.21% |
34 | Africa | MZ | Mozambique | 32 957 580 | 1.03% | 0.89% | 0.01% |
35 | Europe | MK | North Macedonia | 2 083 208 | 1.53% | 0.88% | 0.37% |
36 | Europe | HR | Croatia | 4 056 066 | 1.00% | 0.88% | 0.86% |
37 | Australia/Oceania | PG | Papua New Guinea | 9 276 518 | 0.69% | 0.86% | 0.03% |
38 | South America | VE | Venezuela | 28 279 333 | 0.63% | 0.86% | 0.02% |
39 | Europe | DK | Denmark | 5 831 858 | 0.20% | 0.81% | 1.22% |
40 | Africa | SN | Senegal | 17 601 640 | 1.07% | 0.80% | 0.00% |
41 | Asia | IN | India | 1 406 384 242 | 1.73% | 0.68% | 0.03% |
42 | Europe | GB | United Kingdom | 68 579 336 | 0.42% | 0.66% | 1.05% |
43 | Asia | GE | Georgia | 3 974 283 | 0.37% | 0.64% | 0.23% |
44 | Africa | ZW | Zimbabwe | 15 283 591 | 0.61% | 0.64% | 0.13% |
45 | Europe | LT | Lithuania | 2 648 498 | 0.33% | 0.62% | 0.55% |
46 | Asia | TH | Thailand | 70 140 482 | 0.40% | 0.61% | 0.65% |
47 | Europe | RS | Serbia | 8 668 966 | 0.67% | 0.60% | 0.37% |
48 | Asia | KZ | Kazakhstan | 19 213 392 | 0.67% | 0.57% | 0.01% |
49 | Africa | ZA | South Africa | 60 762 580 | 1.31% | 0.56% | 0.60% |
50 | South America | BO | Bolivia | 11 982 608 | 1.69% | 0.49% | 0.19% |
51 | South America | BR | Brazil | 215 497 163 | 0.63% | 0.47% | 1.28% |
52 | Asia | BD | Bangladesh | 167 879 547 | 0.34% | 0.45% | 0.00% |
53 | Europe | SI | Slovenia | 2 079 493 | 0.45% | 0.45% | 1.70% |
54 | Europe | GR | Greece | 10 324 103 | 0.37% | 0.43% | 4.48% |
55 | Europe | CZ | Czechia | 10 747 604 | 0.33% | 0.41% | 0.28% |
56 | North America | HN | Honduras | 10 210 881 | 1.11% | 0.38% | 0.05% |
57 | Asia | SA | Saudi Arabia | 35 867 993 | 0.32% | 0.35% | 0.23% |
58 | Asia | HK | Hong Kong | 7 615 239 | 0.76% | 0.32% | 0.61% |
59 | South America | EC | Ecuador | 18 163 935 | 0.52% | 0.32% | 0.32% |
60 | Europe | ES | Spain | 46 789 983 | 0.37% | 0.32% | 2.42% |
61 | North America | SV | El Salvador | 6 549 835 | 0.51% | 0.30% | 0.12% |
62 | Europe | IT | Italy | 60 289 007 | 0.28% | 0.30% | 4.20% |
63 | South America | CO | Colombia | 51 937 378 | 1.88% | 0.30% | 0.11% |
64 | North America | US | USA | 334 776 423 | 1.04% | 0.30% | 3.20% |
65 | Asia | OM | Oman | 5 359 090 | 0.15% | 0.29% | 0.03% |
66 | Africa | CD | DR Congo | 94 853 927 | 0.69% | 0.28% | 0.01% |
67 | Africa | ZM | Zambia | 19 384 745 | 0.35% | 0.28% | 0.05% |
68 | Europe | BE | Belgium | 11 687 686 | 0.26% | 0.27% | 1.54% |
69 | Africa | NG | Nigeria | 216 071 476 | 0.16% | 0.26% | 0.00% |
70 | Asia | TR | Turkey | 86 103 597 | 0.30% | 0.25% | 0.10% |
71 | North America | MX | Mexico | 131 566 572 | 2.02% | 0.24% | 0.14% |
72 | Africa | NA | Namibia | 2 630 367 | 0.57% | 0.22% | 0.76% |
73 | Europe | FR | France | 65 554 307 | 0.16% | 0.22% | 3.97% |
74 | Asia | IQ | Iraq | 41 977 141 | 0.64% | 0.21% | 0.04% |
75 | Africa | MA | Morocco | 37 761 188 | 1.30% | 0.21% | 0.11% |
76 | Africa | LS | Lesotho | 2 175 268 | 0.23% | 0.20% | 0.09% |
77 | Asia | LA | Laos | 7 480 827 | 0.22% | 0.19% | 0.04% |
78 | South America | CL | Chile | 19 435 247 | 1.26% | 0.19% | 3.95% |
79 | Europe | FI | Finland | 5 557 453 | 0.39% | 0.19% | 2.70% |
80 | Asia | PK | Pakistan | 229 230 939 | 0.86% | 0.18% | 0.00% |
81 | Asia | MY | Malaysia | 33 172 274 | 0.22% | 0.17% | 0.63% |
82 | Asia | PH | Philippines | 112 416 830 | 6.73% | 0.17% | 0.02% |
83 | North America | CR | Costa Rica | 5 184 562 | 0.41% | 0.17% | 2.99% |
84 | Australia/Oceania | NZ | New Zealand | 5 002 100 | 0.10% | 0.17% | 16.25% |
85 | Europe | IE | Ireland | 5 045 028 | 0.25% | 0.16% | 2.78% |
86 | Asia | JO | Jordan | 10 400 076 | 0.15% | 0.15% | 0.05% |
87 | Africa | ET | Ethiopia | 120 499 230 | 1.06% | 0.15% | 0.02% |
88 | Asia | TW | Taiwan | 23 900 579 | 0.14% | 0.15% | 37.41% |
89 | South America | UY | Uruguay | 3 497 135 | 0.24% | 0.14% | 3.71% |
90 | South America | PR | Puerto Rico | 3 193 694 | 0.18% | 0.14% | 14.06% |
91 | Europe | PT | Portugal | 10 138 920 | 0.16% | 0.13% | 25.87% |
92 | South America | AR | Argentina | 46 002 135 | 0.25% | 0.13% | 1.52% |
93 | Africa | KE | Kenya | 56 073 862 | 0.57% | 0.11% | 0.02% |
94 | Europe | AT | Austria | 9 106 310 | 0.11% | 0.11% | 3.86% |
95 | Europe | NL | Netherlands | 17 208 579 | 0.03% | 0.11% | 0.82% |
96 | Asia | KR | South Korea | 51 354 960 | 0.10% | 0.11% | 3.56% |
97 | North America | PA | Panama | 4 446 824 | 0.24% | 0.10% | 7.21% |
98 | Australia/Oceania | AU | Australia | 26 075 142 | 0.09% | 0.10% | 16.81% |
99 | Asia | JP | Japan | 125 723 891 | 0.19% | 0.10% | 2.30% |
100 | Asia | IL | Israel | 9 326 000 | 0.12% | 0.08% | 3.77% |
101 | Europe | CH | Switzerland | 8 777 680 | 0.06% | 0.05% | 1.28% |
102 | Asia | MN | Mongolia | 3 380 931 | 0.06% | 0.04% | 0.60% |
103 | Europe | DE | Germany | 84 304 782 | 0.10% | 0.04% | 4.97% |
104 | North America | DO | Dominican R. | 11 059 420 | 0.14% | 0.04% | 0.32% |
105 | Asia | VN | Vietnam | 99 041 436 | 0.05% | 0.03% | 0.15% |
106 | Asia | SG | Singapore | 5 939 801 | 0.05% | 0.03% | 6.96% |
107 | Asia | AE | Arab Emirates | 10 122 743 | 0.04% | 0.03% | 0.66% |
108 | Asia | QA | Qatar | 2 807 805 | 0.09% | 0.00% | 0.95% |
109 | Asia | KW | Kuwait | 4 393 366 | 0.06% | 0.00% | 0.32% |
110 | Europe | AL | Albania | 2 871 689 | 0.70% | 0.00% | 0.17% |
111 | North America | CU | Cuba | 11 313 177 | 0.11% | 0.00% | 0.04% |
112 | Africa | MR | Mauritania | 4 887 233 | 1.34% | 0.00% | 0.03% |
113 | Africa | BI | Burundi | 12 579 153 | 0.00% | 0.00% | 0.03% |
114 | Africa | GA | Gabon | 2 327 828 | 0.38% | 0.00% | 0.02% |
115 | Africa | GW | Guinea-Bissau | 2 058 422 | 1.35% | 0.00% | 0.02% |
116 | Africa | RW | Rwanda | 13 576 353 | 0.82% | 0.00% | 0.01% |
117 | Africa | BJ | Benin | 12 740 457 | 0.00% | 0.00% | 0.01% |
118 | Africa | LY | Libya | 7 052 961 | 0.56% | 0.00% | 0.01% |
119 | North America | HT | Haiti | 11 672 793 | 2.33% | 0.00% | 0.01% |
120 | Africa | TG | Togo | 8 655 912 | 0.37% | 0.00% | 0.01% |
121 | Africa | CI | Ivory Coast | 27 648 050 | 0.72% | 0.00% | 0.01% |
122 | Africa | GH | Ghana | 32 333 890 | 0.18% | 0.00% | 0.01% |
123 | Asia | UZ | Uzbekistan | 34 412 290 | 0.35% | 0.00% | 0.01% |
124 | Africa | CG | Congo | 5 782 115 | 2.98% | 0.00% | 0.01% |
125 | Africa | GN | Guinea | 13 825 236 | 1.10% | 0.00% | 0.00% |
126 | Africa | SO | Somalia | 16 755 128 | 4.22% | 0.00% | 0.00% |
127 | Asia | NP | Nepal | 30 155 659 | 0.47% | 0.00% | 0.00% |
128 | Africa | SS | South Sudan | 11 448 890 | 0.13% | 0.00% | 0.00% |
129 | Africa | AO | Angola | 34 853 471 | 0.14% | 0.00% | 0.00% |
130 | Asia | MM | Myanmar | 55 118 982 | 0.16% | 0.00% | 0.00% |
131 | Africa | ER | Eritrea | 3 641 853 | 0.00% | 0.00% | 0.00% |
132 | Africa | DZ | Algeria | 45 390 507 | 1.84% | 0.00% | 0.00% |
133 | Asia | SY | Syria | 18 327 090 | 3.04% | 0.00% | 0.00% |
134 | Africa | LR | Liberia | 5 288 769 | 3.57% | 0.00% | 0.00% |
135 | Africa | NE | Niger | 25 909 734 | 2.01% | 0.00% | 0.00% |
136 | Africa | CF | Central African R. | 4 993 027 | 0.00% | 0.00% | 0.00% |
137 | Africa | GM | Gambia | 2 548 640 | 0.00% | 0.00% | 0.00% |
138 | Asia | YE | Yemen | 31 102 983 | 8.20% | 0.00% | 0.00% |
139 | Africa | TD | Chad | 17 342 051 | 1.47% | 0.00% | 0.00% |
140 | Africa | CM | Cameroon | 27 830 381 | 0.94% | 0.00% | 0.00% |
141 | Europe | BY | Belarus | 9 443 281 | 0.35% | 0.00% | 0.00% |
142 | Asia | KH | Cambodia | 17 168 838 | 0.28% | 0.00% | 0.00% |
143 | Africa | BF | Burkina Faso | 22 017 453 | 4.17% | 0.00% | 0.00% |
144 | Asia | KG | Kyrgyzstan | 6 733 469 | 4.11% | 0.00% | 0.00% |
145 | Africa | SL | Sierra Leone | 8 292 350 | 0.00% | 0.00% | 0.00% |
146 | Asia | KP | North Korea | 25 660 000 | 0.00% | 0.00% | 0.00% |
147 | Europe | TM | Turkmenistan | 6 118 000 | 0.00% | 0.00% | 0.00% |
148 | Asia | TJ | Tajikistan | 9 954 095 | 0.00% | 0.00% | 0.00% |
149 | Asia | CN | China | 1 439 323 776 | 0.00% | 0.00% | 0.00% |
150 | Asia | PS | Palestine | 5 331 948 | 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 | 1000*Deaths/Pop. |
---|---|---|---|---|---|---|
1 | South America | PE | Peru | 33 864 868 | 213 303 | 6.299‰ |
2 | Europe | BG | Bulgaria | 6 846 797 | 37 204 | 5.434‰ |
3 | Europe | BA | Bosnia and Herzegovina | 3 241 159 | 15 793 | 4.873‰ |
4 | Europe | HU | Hungary | 9 612 671 | 46 571 | 4.845‰ |
5 | Europe | MK | North Macedonia | 2 083 208 | 9 316 | 4.472‰ |
6 | Asia | GE | Georgia | 3 974 283 | 16 835 | 4.236‰ |
7 | Europe | HR | Croatia | 4 056 066 | 16 019 | 3.949‰ |
8 | Europe | SI | Slovenia | 2 079 493 | 7 805 | 3.753‰ |
9 | Europe | CZ | Czechia | 10 747 604 | 40 302 | 3.750‰ |
10 | Europe | SK | Slovakia | 5 464 783 | 20 119 | 3.682‰ |
11 | Europe | RO | Romania | 18 988 290 | 65 714 | 3.461‰ |
12 | Europe | LT | Lithuania | 2 648 498 | 9 155 | 3.457‰ |
13 | South America | BR | Brazil | 215 497 163 | 667 700 | 3.098‰ |
14 | Europe | PL | Poland | 37 766 035 | 116 380 | 3.082‰ |
15 | North America | US | USA | 334 776 423 | 1 000 967 | 2.990‰ |
16 | South America | CL | Chile | 19 435 247 | 58 050 | 2.987‰ |
17 | Europe | GR | Greece | 10 324 103 | 30 020 | 2.908‰ |
18 | Asia | AM | Armenia | 2 974 010 | 8 625 | 2.900‰ |
19 | Europe | MD | Moldova | 4 015 739 | 11 554 | 2.877‰ |
20 | South America | AR | Argentina | 46 002 135 | 128 973 | 2.804‰ |
21 | Europe | IT | Italy | 60 289 007 | 167 432 | 2.777‰ |
22 | Europe | BE | Belgium | 11 687 686 | 31 816 | 2.722‰ |
23 | South America | CO | Colombia | 51 937 378 | 139 867 | 2.693‰ |
24 | Europe | GB | United Kingdom | 68 579 336 | 179 102 | 2.612‰ |
25 | Europe | RU | Russia | 146 056 108 | 380 137 | 2.603‰ |
26 | South America | PY | Paraguay | 7 302 885 | 18 911 | 2.590‰ |
27 | Europe | UA | Ukraine | 43 223 130 | 108 605 | 2.513‰ |
28 | North America | MX | Mexico | 131 566 572 | 325 066 | 2.471‰ |
29 | Africa | TN | Tunisia | 12 059 066 | 28 648 | 2.376‰ |
30 | Europe | PT | Portugal | 10 138 920 | 23 531 | 2.321‰ |
31 | Europe | ES | Spain | 46 789 983 | 107 108 | 2.289‰ |
32 | Europe | FR | France | 65 554 307 | 145 520 | 2.220‰ |
33 | Europe | AT | Austria | 9 106 310 | 19 969 | 2.193‰ |
34 | South America | UY | Uruguay | 3 497 135 | 7 262 | 2.077‰ |
35 | South America | EC | Ecuador | 18 163 935 | 35 649 | 1.963‰ |
36 | North America | PA | Panama | 4 446 824 | 8 292 | 1.865‰ |
37 | Europe | SE | Sweden | 10 221 702 | 19 049 | 1.864‰ |
38 | Europe | RS | Serbia | 8 668 966 | 16 101 | 1.857‰ |
39 | South America | BO | Bolivia | 11 982 608 | 21 950 | 1.832‰ |
40 | Africa | ZA | South Africa | 60 762 580 | 101 502 | 1.671‰ |
41 | Europe | DE | Germany | 84 304 782 | 139 837 | 1.659‰ |
42 | North America | CR | Costa Rica | 5 184 562 | 8 525 | 1.644‰ |
43 | Asia | IR | Iran | 86 083 213 | 141 352 | 1.642‰ |
44 | Asia | LB | Lebanon | 6 766 038 | 10 446 | 1.544‰ |
45 | Africa | NA | Namibia | 2 630 367 | 4 042 | 1.537‰ |
46 | Europe | CH | Switzerland | 8 777 680 | 13 267 | 1.511‰ |
47 | Europe | IE | Ireland | 5 045 028 | 7 416 | 1.470‰ |
48 | South America | PR | Puerto Rico | 3 193 694 | 4 427 | 1.386‰ |
49 | Asia | JO | Jordan | 10 400 076 | 14 068 | 1.353‰ |
50 | Europe | NL | Netherlands | 17 208 579 | 22 332 | 1.298‰ |
51 | Asia | HK | Hong Kong | 7 615 239 | 9 390 | 1.233‰ |
52 | Europe | AL | Albania | 2 871 689 | 3 497 | 1.218‰ |
53 | Asia | IL | Israel | 9 326 000 | 10 882 | 1.167‰ |
54 | Asia | TR | Turkey | 86 103 597 | 98 969 | 1.149‰ |
55 | Africa | BW | Botswana | 2 443 936 | 2 701 | 1.105‰ |
56 | Europe | DK | Denmark | 5 831 858 | 6 414 | 1.100‰ |
57 | North America | CA | Canada | 38 385 559 | 41 356 | 1.077‰ |
58 | Asia | MY | Malaysia | 33 172 274 | 35 716 | 1.077‰ |
59 | North America | HN | Honduras | 10 210 881 | 10 902 | 1.068‰ |
60 | North America | JM | Jamaica | 2 986 295 | 3 080 | 1.031‰ |
61 | Asia | KZ | Kazakhstan | 19 213 392 | 19 017 | 0.990‰ |
62 | North America | GT | Guatemala | 18 559 873 | 18 250 | 0.983‰ |
63 | Asia | AZ | Azerbaijan | 10 316 866 | 9 715 | 0.942‰ |
64 | Africa | LY | Libya | 7 052 961 | 6 430 | 0.912‰ |
65 | Europe | FI | Finland | 5 557 453 | 4 714 | 0.848‰ |
66 | Asia | OM | Oman | 5 359 090 | 4 260 | 0.795‰ |
67 | Asia | LK | Sri Lanka | 21 587 805 | 16 519 | 0.765‰ |
68 | North America | CU | Cuba | 11 313 177 | 8 529 | 0.754‰ |
69 | Europe | BY | Belarus | 9 443 281 | 6 978 | 0.739‰ |
70 | North America | SV | El Salvador | 6 549 835 | 4 134 | 0.631‰ |
71 | Asia | MN | Mongolia | 3 380 931 | 2 115 | 0.626‰ |
72 | Asia | IQ | Iraq | 41 977 141 | 25 223 | 0.601‰ |
73 | Europe | NO | Norway | 5 503 661 | 3 210 | 0.583‰ |
74 | Asia | KW | Kuwait | 4 393 366 | 2 555 | 0.582‰ |
75 | Asia | ID | Indonesia | 279 147 249 | 156 652 | 0.561‰ |
76 | Asia | PH | Philippines | 112 416 830 | 60 461 | 0.538‰ |
77 | Asia | KR | South Korea | 51 354 960 | 24 390 | 0.475‰ |
78 | Asia | KG | Kyrgyzstan | 6 733 469 | 2 991 | 0.444‰ |
79 | Asia | VN | Vietnam | 99 041 436 | 43 083 | 0.435‰ |
80 | Asia | TH | Thailand | 70 140 482 | 30 368 | 0.433‰ |
81 | Africa | MA | Morocco | 37 761 188 | 16 082 | 0.426‰ |
82 | Asia | NP | Nepal | 30 155 659 | 11 952 | 0.396‰ |
83 | North America | DO | Dominican R. | 11 059 420 | 4 379 | 0.396‰ |
84 | Asia | IN | India | 1 406 384 242 | 524 777 | 0.373‰ |
85 | Africa | ZW | Zimbabwe | 15 283 591 | 5 515 | 0.361‰ |
86 | Asia | MM | Myanmar | 55 118 982 | 19 434 | 0.353‰ |
87 | Australia/Oceania | AU | Australia | 26 075 142 | 8 988 | 0.345‰ |
88 | Africa | LS | Lesotho | 2 175 268 | 699 | 0.321‰ |
89 | Australia/Oceania | NZ | New Zealand | 5 002 100 | 1 286 | 0.257‰ |
90 | Asia | SA | Saudi Arabia | 35 867 993 | 9 175 | 0.256‰ |
91 | Asia | JP | Japan | 125 723 891 | 30 910 | 0.246‰ |
92 | Asia | QA | Qatar | 2 807 805 | 677 | 0.241‰ |
93 | Asia | SG | Singapore | 5 939 801 | 1 398 | 0.235‰ |
94 | Africa | EG | Egypt | 106 086 832 | 24 720 | 0.233‰ |
95 | Asia | AE | Arab Emirates | 10 122 743 | 2 305 | 0.228‰ |
96 | Africa | ZM | Zambia | 19 384 745 | 3 989 | 0.206‰ |
97 | South America | VE | Venezuela | 28 279 333 | 5 722 | 0.202‰ |
98 | Africa | MR | Mauritania | 4 887 233 | 982 | 0.201‰ |
99 | Asia | AF | Afghanistan | 40 632 673 | 7 710 | 0.190‰ |
100 | Asia | TW | Taiwan | 23 900 579 | 4 403 | 0.184‰ |
101 | Asia | KH | Cambodia | 17 168 838 | 3 056 | 0.178‰ |
102 | Asia | BD | Bangladesh | 167 879 547 | 29 131 | 0.173‰ |
103 | Asia | SY | Syria | 18 327 090 | 3 150 | 0.172‰ |
104 | Africa | DZ | Algeria | 45 390 507 | 6 875 | 0.151‰ |
105 | Africa | GM | Gambia | 2 548 640 | 365 | 0.143‰ |
106 | Asia | PK | Pakistan | 229 230 939 | 30 381 | 0.133‰ |
107 | Africa | MW | Malawi | 20 090 863 | 2 642 | 0.132‰ |
108 | Africa | GA | Gabon | 2 327 828 | 304 | 0.131‰ |
109 | Africa | SN | Senegal | 17 601 640 | 1 967 | 0.112‰ |
110 | Africa | SD | Sudan | 45 839 520 | 4 950 | 0.108‰ |
111 | Africa | RW | Rwanda | 13 576 353 | 1 459 | 0.107‰ |
112 | Asia | LA | Laos | 7 480 827 | 757 | 0.101‰ |
113 | Africa | KE | Kenya | 56 073 862 | 5 651 | 0.101‰ |
114 | Africa | GW | Guinea-Bissau | 2 058 422 | 171 | 0.083‰ |
115 | Africa | SO | Somalia | 16 755 128 | 1 361 | 0.081‰ |
116 | Africa | UG | Uganda | 48 548 800 | 3 603 | 0.074‰ |
117 | North America | HT | Haiti | 11 672 793 | 835 | 0.071‰ |
118 | Australia/Oceania | PG | Papua New Guinea | 9 276 518 | 658 | 0.071‰ |
119 | Africa | CM | Cameroon | 27 830 381 | 1 930 | 0.069‰ |
120 | Asia | YE | Yemen | 31 102 983 | 2 149 | 0.069‰ |
121 | Africa | MZ | Mozambique | 32 957 580 | 2 206 | 0.067‰ |
122 | Africa | CG | Congo | 5 782 115 | 385 | 0.067‰ |
123 | Africa | ET | Ethiopia | 120 499 230 | 7 517 | 0.062‰ |
124 | Africa | LR | Liberia | 5 288 769 | 294 | 0.056‰ |
125 | Africa | AO | Angola | 34 853 471 | 1 900 | 0.054‰ |
126 | Africa | MG | Madagascar | 29 074 832 | 1 396 | 0.048‰ |
127 | Asia | UZ | Uzbekistan | 34 412 290 | 1 637 | 0.048‰ |
128 | Africa | GH | Ghana | 32 333 890 | 1 445 | 0.045‰ |
129 | North America | NI | Nicaragua | 6 777 797 | 240 | 0.035‰ |
130 | Africa | ML | Mali | 21 384 618 | 736 | 0.034‰ |
131 | Africa | GN | Guinea | 13 825 236 | 442 | 0.032‰ |
132 | Africa | TG | Togo | 8 655 912 | 273 | 0.032‰ |
133 | Africa | CI | Ivory Coast | 27 648 050 | 799 | 0.029‰ |
134 | Africa | ER | Eritrea | 3 641 853 | 103 | 0.028‰ |
135 | Africa | CF | Central African R. | 4 993 027 | 113 | 0.023‰ |
136 | Africa | BF | Burkina Faso | 22 017 453 | 384 | 0.017‰ |
137 | Africa | SL | Sierra Leone | 8 292 350 | 125 | 0.015‰ |
138 | Africa | NG | Nigeria | 216 071 476 | 3 144 | 0.015‰ |
139 | Africa | CD | DR Congo | 94 853 927 | 1 345 | 0.014‰ |
140 | Africa | TZ | Tanzania | 63 041 475 | 840 | 0.013‰ |
141 | Africa | BJ | Benin | 12 740 457 | 163 | 0.013‰ |
142 | Africa | SS | South Sudan | 11 448 890 | 138 | 0.012‰ |
143 | Africa | NE | Niger | 25 909 734 | 310 | 0.012‰ |
144 | Africa | TD | Chad | 17 342 051 | 193 | 0.011‰ |
145 | Africa | BI | Burundi | 12 579 153 | 15 | 0.001‰ |
146 | Asia | CN | China | 1 439 323 776 | 0 | 0.000‰ |
147 | Asia | KP | North Korea | 25 660 000 | 0 | 0.000‰ |
148 | Asia | TJ | Tajikistan | 9 954 095 | 0 | 0.000‰ |
149 | Europe | TM | Turkmenistan | 6 118 000 | 0 | 0.000‰ |
150 | Asia | PS | Palestine | 5 331 948 | 0 | 0.000‰ |
Elhalálozási adatok hozzávetőleges értékei 2018/2019:
* Abortusz: 56 millió, Szív és érrendszer: 17,9 millió, Rákbetegség: 9,6 millió.
COVID-19, Mi segíthet? - What can help? Above all, active prevention.
(2021-02-02 ...)
* Azelastine: [1],
[2] ,
[*],
[3],
nálunk Szlovákiában, mint Allergodil, orr spray ismert. (5ml recept nélkül vásárolható)
* Cistus creticus (Cystus pandalis): [4],
[5]
nálunk, mint ViroStop ismert, torokspray (de van orrspay és tabletta is)
Cistus a Vironal
* Artemisinin + Zinc:
[6] egynyáriüröm kivonat, tabletta
(Nagyon jó többfajta rákbetegségre is, de konzultálni kell az orvossal, ha más gyógyszereket is szedünk).
* Inosine pranobex: [9]
* Melatonin [10]
, Quercetin (Kvercetín) [8]
, Fluvoxamine [11]
, NAC, N-acetylcysteín
* Ivermectin: [7]
, [Ivermectin Triple Therapy Protocol for COVID-19 to Australian GP]
, [Prof. Marik]
, [SK, konečne]
_
Ivermectin statisztikai adatok: [Epidemiologic Analyses on COVID-19 and Ivermectin]
, [Dr. Thomas Borody, Australia]
, [CZ]
[FLCCC, Ivermectin video],
[A sok tesztelés nem segít],
[FLCCC, Ivermectin]
, [SK]
, [Ivermectin, Vitamin D, Melatonin]
, [Tanulmányok] , [ivmmeta.com]
Az aktív prevenció abban van, hogy az Allergodil és a ViroStop meggátolja a vírus elszaporodását az orr és a száj nyálkahártyán. Mindezt "in-vitro" bizonyították.
Az Allergodilt elegendő naponta egyszer (reggel) használni prevenciónak (de lehet többször is). A ViroStop-ot érdemes naponta többször is használni.
A többi gyógyszer inkább csak akkor kell, ha a vírus mégis valahogyan nagyobb mennyiségben bejutna a szervezetünkbe, akkor az már fel legyen rá készülve.
(Természetesen itt nem említek meg olyan alapvető dolgokat, mint a C vitamín, Aspirin, B1 stb.)
Sajnos, relatíve kevés tanulmány foglalkozik az aktív megelőzéssel.
Általában bizonyított COVID pozitív betegeken kísérleteznek, viszont a legjobb, ha el sem kapjuk ezt a betegséget, tehát meggátoljuk, hogy bejusson a szervezetünkbe.
Az Ivermectint szintén használhatjuk preventíve, nagyon sok orvos már javasolja főleg időseknek.
Tatiana Betáková (Szlovák Tudományos Akadémia): "Kérdés az, hogy a vírus továbbra is fog szaporodni a mi nyálkahártyankon, ha be leszünk oltva? Ezt még nem tudjuk, azért az oltás után is javasolva lesz a maszk viselése, hogy másokat ne fertőzzünk meg."
(This information has been compiled based on thousands of scientific studies. Anyone can check this here: [Google Scholar],
[FLCCC Alliance]
, [Protocol PDF]
, [Hatásos gyógymód])
[Az oltás megoldás lesz?],
[Mi történt Izraelben? PDF] ([PDF translate]) és
[Israel CZ]
, [Angliai jelentés]
, [USA adatok]
, [Furcsa eredmények]
, [Agyi karosodások a covid után]
, [Németországi adatok]
Mi mindent csináltak rosszul a COVID-19 kapcsán, mert nálunk is az történt, ami az USA-ban: [Link 1. video] vagy
[Link 2. video]
, [Link 3. cikk]
,
[DOC. MUDR. TÖRÖK az Ivermectinről]
, [Ivermectin tapasztalatok]
, [EU adatok a gyógyszerek mellékhatásairól, köztük a COVID vakcinák is]
Egy tudós (specialista a vakcinákra):
[Figyelmezteti a világot a lehetséges következményekre]
,
[VACCINATION WARNING]
HU: [G. V. Bossche figyelmeztésének rövid kivonata]
SK: [Varovanie od G. V. Bossche v skratke]
[Dr. Tenpenny, mRNA]
Latest SPR Covid Updates
Az Európa Tanács (ET) a 2361 (2021) állásfoglalásban
úgy határozott, hogy betiltja a tagállamok oltási kötelezettségeinek előírását.
EU-tagállamok kötelesek:
7.3.1 annak biztosítása, hogy az állampolgárok tájékoztatást kapjanak arról, hogy az oltás NEM kötelező, és hogy senkit sem politikai, társadalmi vagy egyéb módon nem kényszerítenek oltásra, hacsak nem akarják
7.3.2 annak biztosítása, hogy senkit ne érjen hátrányos megkülönböztetés, mert esetleges egészségügyi kockázatok miatt nem oltották be, vagy nem oltották be
7.1.5 független kompenzációs programok létrehozása az oltásokkal szemben az aránytalan és az oltásokkal okozott károk megtérítése érdekében
STOP VACCINATION - Why?
DR. ZELENKOProf. RNDr. Jaroslav Turánek, CSc. DSc.
Dr. Robert Malone, inventor of mRNA technology
Prof. MUDr. Jiří Beran, CSc.
SK: [Pravidelné a celoplošné testovanie?] 2021-02-17
Jeden z najrenomovanejších lekárskych časopisov na svete „The Lancet“ publikuje štúdiu, ktorá ukazuje, že PCR test je na detekciu SARS-CoV-2 nepoužiteľný:

"Väčšina ľudí infikovaných SARS-CoV-2 je nákazlivá po dobu 4–8 dní. Všeobecne sa nezistí, že by vzorky obsahovali kultúrne pozitívny (potenciálne nákazlivý) vírus po 9. dni po objavení sa symptómov, pričom väčšina prenosu nastala pred 5. dňom."
Uvedené platí aj pre antigenové aj pre protilátkové testy. Pred nástupom príznakov ochorenia 5 až 8 dní ešte nič nezistia, ale práve v tomto období pacient najviac infikuje svoje okolie. Na základe týchto informácií je úplne zbytočné robiť pravidelné plošné testovanie, ako je to na Slovenku. Zvyšuje sa iba nákaza. Potvrdenia vydané na jeden týždeň (covid negative) sú nanič.
Niektorí ľudia už museli absolvovať 48 testov, aby mohli chodiť do roboty. Neviem ako to "naši odborníci" odôvodňujú, ale je to proti zdravému rozumu a vyhadzovaniu peňazí. Nikde vo svete to takto nerobia, iba na Slovensku. (Asi naši "odborníci" majú patent na rozum.) [Dr. Horáková vrátila štátné vyznamenanie] , [Ivermectin na Slovensku video] , [News]
Čo všetko robili zle "odborníci", lebo to isté, čo sa stalo v USA, stalo sa aj u nás: [Link 1.] alebo [Link 2.] , [Link 3. text]
Je dôležité vedieť, že pacient môže žiadať od lekára liečenie pomocou Ivermectinu (po celom Slovensku aj v nemocniciach) v prípade COVID-19.
Kiszámolt értékek
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
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.
OurWorldInData: "https://github.com/owid/covid-19-data/tree/master/public/data",
Slovakia: "https://github.com/Institut-Zdravotnych-Analyz/covid19-data"