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": 2022-08-03 14:57
(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 | +8 475 (+6 638) | +11 (+22) |
CZ | Czechia | +3 079 (+3 440) | +5 (+13) |
DE | Germany | +0 (+87 681) | +0 (+210) |
HU | Hungary | +21 840 (+0) | +96 (+0) |
PL | Poland | +4 479 (+5 641) | +16 (+22) |
SK | Slovakia, [gov], [okr] | +1 078 (+934) | +4 (+5) |
COVID-19, New Cases in Regions (incidence rate)
N. | Region | Population | Last 120 days | Last 30 days | Last 7 days |
---|---|---|---|---|---|
1 | North America | 598 024 150 | 1.98% | 2.87% | 2.76% |
2 | Australia/Oceania | 43 859 049 | 12.28% | 9.06% | 2.02% |
3 | Europe | 756 574 482 | 4.37% | 4.47% | 1.37% |
4 | South America | 441 406 008 | 1.29% | 1.62% | 0.66% |
5 | Asia | 4 704 797 741 | 0.43% | 0.43% | 0.31% |
6 | Africa | 1 406 763 609 | 0.05% | 0.05% | 0.01% |
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 | 1 406 763 609 | 0.50% | (0.59)% | (0.05)% |
2 | South America | 441 406 008 | 0.42% | 0.43% | 1.62% |
3 | North America | 598 024 150 | 0.49% | 0.40% | 2.87% |
4 | Europe | 756 574 482 | 0.23% | 0.17% | 4.47% |
5 | Australia/Oceania | 43 859 049 | 0.11% | 0.15% | 9.06% |
6 | Asia | 4 704 797 741 | 0.17% | 0.13% | 0.43% |
COVID-19, Total Mortality from population of Regions
N. | Region | Population | Deaths | 1000*Deaths/Pop. |
---|---|---|---|---|
1 | South America | 441 406 008 | 1 317 013 | 2.984‰ |
2 | Europe | 756 574 482 | 1 871 931 | 2.474‰ |
3 | North America | 598 024 150 | 1 461 980 | 2.445‰ |
4 | Australia/Oceania | 43 859 049 | 16 092 | 0.367‰ |
5 | Asia | 4 704 797 741 | 1 440 518 | 0.306‰ |
6 | Africa | 1 406 763 609 | 256 765 | 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 | Europe | GR | Greece | 10 317 182 | 12.94% | 18.73% | 24.66% |
2 | Asia | TW | Taiwan | 23 906 450 | 19.36% | 12.69% | 11.03% |
3 | South America | PR | Puerto Rico | 3 193 694 | 10.93% | 10.60% | 9.70% |
4 | Asia | HK | Hong Kong | 7 623 538 | 2.46% | 5.78% | 7.19% |
5 | Asia | IL | Israel | 9 326 000 | 6.70% | 8.65% | 4.61% |
6 | North America | US | USA | 334 776 423 | 2.91% | 4.24% | 4.57% |
7 | Asia | TR | Turkey | 86 227 507 | 0.91% | 1.98% | 4.50% |
8 | Asia | KR | South Korea | 51 360 968 | 9.60% | 6.24% | 4.00% |
9 | Europe | HU | Hungary | 9 609 334 | 1.17% | 1.86% | 3.90% |
10 | North America | PA | Panama | 4 456 110 | 4.04% | 3.39% | 3.84% |
11 | South America | PY | Paraguay | 7 314 852 | 0.57% | 1.94% | 3.51% |
12 | Asia | GE | Georgia | 3 973 241 | 0.77% | 1.60% | 3.37% |
13 | Europe | BE | Belgium | 11 694 561 | 5.15% | 5.92% | 3.34% |
14 | Asia | SG | Singapore | 5 946 078 | 8.97% | 12.05% | 2.95% |
15 | Australia/Oceania | AU | Australia | 26 115 548 | 17.15% | 12.05% | 2.69% |
16 | Asia | JP | Japan | 125 671 231 | 3.38% | 5.04% | 2.67% |
17 | Europe | IE | Ireland | 5 052 560 | 4.66% | 4.22% | 2.67% |
18 | Europe | GB | United Kingdom | 68 627 954 | 3.83% | 3.82% | 2.35% |
19 | Australia/Oceania | NZ | New Zealand | 5 002 100 | 16.57% | 15.03% | 2.29% |
20 | Europe | IT | Italy | 60 276 909 | 9.38% | 11.70% | 1.84% |
21 | Europe | DE | Germany | 84 341 285 | 9.87% | 8.76% | 1.78% |
22 | Europe | AT | Austria | 9 113 317 | 8.57% | 9.47% | 1.59% |
23 | South America | AR | Argentina | 46 058 736 | 0.96% | 1.08% | 1.48% |
24 | Europe | SI | Slovenia | 2 079 532 | 4.50% | 5.37% | 1.46% |
25 | South America | EC | Ecuador | 18 200 555 | 0.47% | 0.92% | 1.44% |
26 | Europe | MD | Moldova | 4 014 464 | 0.37% | 0.67% | 1.43% |
27 | Europe | FR | France | 65 573 982 | 10.94% | 11.85% | 1.42% |
28 | Europe | RS | Serbia | 8 664 181 | 1.12% | 2.17% | 1.37% |
29 | South America | UY | Uruguay | 3 498 775 | 2.57% | 1.81% | 1.19% |
30 | Asia | KZ | Kazakhstan | 19 244 066 | 0.11% | 0.42% | 1.13% |
31 | North America | CA | Canada | 38 430 718 | 1.46% | 0.81% | 1.11% |
32 | Europe | SE | Sweden | 10 230 290 | 0.52% | 0.77% | 0.98% |
33 | Asia | AM | Armenia | 2 974 765 | 0.11% | 0.33% | 0.83% |
34 | Europe | RO | Romania | 18 970 854 | 0.72% | 1.49% | 0.82% |
35 | South America | CO | Colombia | 52 011 425 | 0.27% | 0.71% | 0.81% |
36 | South America | BO | Bolivia | 12 004 365 | 0.74% | 2.05% | 0.76% |
37 | Europe | LT | Lithuania | 2 643 349 | 2.06% | 2.04% | 0.76% |
38 | Europe | HR | Croatia | 4 052 626 | 1.78% | 2.34% | 0.75% |
39 | Europe | AL | Albania | 2 871 261 | 0.64% | 1.32% | 0.72% |
40 | Asia | MN | Mongolia | 3 388 150 | 0.48% | 0.80% | 0.71% |
41 | Europe | PT | Portugal | 10 134 876 | 15.21% | 4.61% | 0.69% |
42 | Asia | QA | Qatar | 2 807 805 | 1.33% | 2.13% | 0.51% |
43 | Europe | CZ | Czechia | 10 750 310 | 1.19% | 1.18% | 0.49% |
44 | Europe | BG | Bulgaria | 6 839 692 | 0.77% | 1.23% | 0.49% |
45 | North America | DO | Dominican R. | 11 074 270 | 0.42% | 0.92% | 0.48% |
46 | South America | PE | Peru | 33 927 630 | 0.73% | 1.91% | 0.47% |
47 | South America | CL | Chile | 19 457 638 | 3.48% | 2.94% | 0.44% |
48 | Asia | OM | Oman | 5 376 889 | 0.10% | 0.21% | 0.43% |
49 | Europe | DK | Denmark | 5 834 637 | 2.55% | 3.04% | 0.41% |
50 | Asia | JO | Jordan | 10 413 903 | 0.17% | 0.26% | 0.40% |
51 | North America | HN | Honduras | 10 232 418 | 0.16% | 0.37% | 0.40% |
52 | Europe | SK | Slovakia | 5 465 143 | 1.45% | 1.03% | 0.34% |
53 | Asia | LB | Lebanon | 6 761 883 | 0.82% | 1.96% | 0.34% |
54 | Africa | LY | Libya | 7 065 728 | 0.03% | 0.10% | 0.34% |
55 | Europe | NL | Netherlands | 17 213 743 | 2.23% | 2.43% | 0.33% |
56 | North America | MX | Mexico | 131 751 514 | 0.61% | 1.23% | 0.28% |
57 | South America | BR | Brazil | 215 703 263 | 1.62% | 1.88% | 0.27% |
58 | Europe | BA | Bosnia and Herzegovina | 3 238 386 | 0.22% | 0.49% | 0.25% |
59 | Europe | CH | Switzerland | 8 786 314 | 4.32% | 5.17% | 0.24% |
60 | Asia | MY | Malaysia | 33 228 923 | 1.17% | 0.85% | 0.22% |
61 | North America | GT | Guatemala | 18 605 212 | 0.91% | 1.75% | 0.21% |
62 | Europe | PL | Poland | 37 760 394 | 0.20% | 0.35% | 0.20% |
63 | Asia | IR | Iran | 86 230 076 | 0.15% | 0.28% | 0.19% |
64 | Europe | ES | Spain | 46 792 448 | 3.20% | 2.73% | 0.18% |
65 | Asia | AE | Arab Emirates | 10 139 064 | 0.85% | 1.08% | 0.17% |
66 | Europe | RU | Russia | 146 064 628 | 0.42% | 0.25% | 0.17% |
67 | Europe | MK | North Macedonia | 2 083 196 | 0.71% | 1.41% | 0.15% |
68 | Africa | TN | Tunisia | 12 075 950 | 0.64% | 2.09% | 0.12% |
69 | Asia | AZ | Azerbaijan | 10 329 338 | 0.04% | 0.10% | 0.09% |
70 | Africa | BI | Burundi | 12 627 743 | 0.04% | 0.04% | 0.09% |
71 | Asia | KG | Kyrgyzstan | 6 748 187 | 0.01% | 0.04% | 0.07% |
72 | Europe | NO | Norway | 5 509 445 | 0.80% | 0.38% | 0.07% |
73 | Asia | TH | Thailand | 70 164 343 | 1.16% | 0.22% | 0.06% |
74 | Africa | ZA | South Africa | 60 864 725 | 0.48% | 0.09% | 0.06% |
75 | Europe | UA | Ukraine | 43 187 425 | 0.17% | 0.04% | 0.06% |
76 | Asia | IQ | Iraq | 42 100 744 | 0.23% | 0.60% | 0.05% |
77 | Asia | PH | Philippines | 112 616 098 | 0.06% | 0.13% | 0.05% |
78 | North America | JM | Jamaica | 2 988 057 | 0.54% | 0.24% | 0.04% |
79 | Asia | ID | Indonesia | 279 542 137 | 0.05% | 0.09% | 0.04% |
80 | Asia | VN | Vietnam | 99 160 960 | 0.91% | 0.07% | 0.04% |
81 | Asia | NP | Nepal | 30 227 344 | 0.02% | 0.05% | 0.03% |
82 | South America | VE | Venezuela | 28 268 374 | 0.04% | 0.07% | 0.03% |
83 | Africa | GW | Guinea-Bissau | 2 064 793 | 0.01% | 0.01% | 0.02% |
84 | Africa | GM | Gambia | 2 557 951 | 0.00% | 0.01% | 0.02% |
85 | Asia | IN | India | 1 408 236 258 | 0.06% | 0.09% | 0.02% |
86 | Africa | MA | Morocco | 37 820 938 | 0.24% | 0.31% | 0.02% |
87 | Asia | LA | Laos | 7 495 255 | 0.35% | 0.02% | 0.02% |
88 | Africa | ZW | Zimbabwe | 15 313 161 | 0.07% | 0.03% | 0.02% |
89 | Africa | NA | Namibia | 2 636 661 | 0.33% | 0.07% | 0.01% |
90 | Africa | MG | Madagascar | 29 172 400 | 0.01% | 0.02% | 0.01% |
91 | Asia | AF | Afghanistan | 40 752 734 | 0.02% | 0.02% | 0.01% |
92 | Asia | SA | Saudi Arabia | 35 942 111 | 0.15% | 0.10% | 0.01% |
93 | Asia | LK | Sri Lanka | 21 600 042 | 0.01% | 0.01% | 0.01% |
94 | Africa | ER | Eritrea | 3 648 560 | 0.01% | 0.01% | 0.01% |
95 | North America | CU | Cuba | 11 312 236 | 0.12% | 0.04% | 0.01% |
96 | Asia | PK | Pakistan | 229 817 854 | 0.01% | 0.02% | 0.01% |
97 | North America | NI | Nicaragua | 6 788 561 | 0.01% | 0.01% | 0.01% |
98 | Africa | SS | South Sudan | 11 466 813 | 0.00% | 0.00% | 0.01% |
99 | Africa | AO | Angola | 34 993 794 | 0.01% | 0.02% | 0.01% |
100 | Africa | MW | Malawi | 20 158 617 | 0.01% | 0.01% | 0.01% |
101 | Africa | MR | Mauritania | 4 903 986 | 0.07% | 0.14% | 0.01% |
102 | Africa | CI | Ivory Coast | 27 737 554 | 0.01% | 0.02% | 0.01% |
103 | Africa | ZM | Zambia | 19 455 353 | 0.06% | 0.07% | 0.01% |
104 | Asia | BD | Bangladesh | 168 103 522 | 0.03% | 0.05% | 0.00% |
105 | Africa | EG | Egypt | 106 350 908 | 0.01% | 0.00% | 0.00% |
106 | Asia | KH | Cambodia | 17 200 455 | 0.00% | 0.01% | 0.00% |
107 | Africa | DZ | Algeria | 45 498 823 | 0.00% | 0.01% | 0.00% |
108 | Africa | NG | Nigeria | 216 771 563 | 0.00% | 0.00% | 0.00% |
109 | Asia | SY | Syria | 18 385 337 | 0.00% | 0.00% | 0.00% |
110 | Africa | SN | Senegal | 17 662 125 | 0.01% | 0.01% | 0.00% |
111 | Africa | CF | Central African R. | 5 004 512 | 0.01% | 0.00% | 0.00% |
112 | Africa | LR | Liberia | 5 305 052 | 0.00% | 0.00% | 0.00% |
113 | Asia | UZ | Uzbekistan | 34 478 582 | 0.01% | 0.02% | 0.00% |
114 | Australia/Oceania | PG | Papua New Guinea | 9 299 707 | 0.01% | 0.00% | 0.00% |
115 | Africa | KE | Kenya | 56 236 044 | 0.02% | 0.02% | 0.00% |
116 | Africa | TG | Togo | 8 682 490 | 0.01% | 0.02% | 0.00% |
117 | Africa | MZ | Mozambique | 33 077 670 | 0.01% | 0.02% | 0.00% |
118 | Africa | SO | Somalia | 16 815 935 | 0.00% | 0.00% | 0.00% |
119 | Africa | SL | Sierra Leone | 8 314 553 | 0.00% | 0.00% | 0.00% |
120 | Africa | SD | Sudan | 45 979 755 | 0.00% | 0.00% | 0.00% |
121 | Asia | YE | Yemen | 31 192 930 | 0.00% | 0.00% | 0.00% |
122 | Africa | BF | Burkina Faso | 22 096 048 | 0.00% | 0.00% | 0.00% |
123 | Africa | LS | Lesotho | 2 177 585 | 0.05% | 0.02% | 0.00% |
124 | Africa | GA | Gabon | 2 335 022 | 0.03% | 0.09% | 0.00% |
125 | Europe | FI | Finland | 5 558 625 | 5.49% | 2.46% | 0.00% |
126 | Africa | ET | Ethiopia | 120 889 430 | 0.02% | 0.01% | 0.00% |
127 | Africa | UG | Uganda | 48 747 095 | 0.01% | 0.01% | 0.00% |
128 | Asia | KW | Kuwait | 4 401 998 | 0.46% | 0.72% | 0.00% |
129 | Africa | TZ | Tanzania | 63 274 840 | 0.00% | 0.01% | 0.00% |
130 | Asia | KP | North Korea | 25 660 000 | 0.00% | 0.00% | 0.00% |
131 | Europe | TM | Turkmenistan | 6 118 000 | 0.00% | 0.00% | 0.00% |
132 | Asia | TJ | Tajikistan | 9 983 431 | 0.00% | 0.00% | 0.00% |
133 | Africa | TD | Chad | 17 406 702 | 0.00% | 0.00% | 0.00% |
134 | North America | CR | Costa Rica | 5 190 911 | 2.47% | 4.27% | 0.00% |
135 | Africa | NE | Niger | 26 030 170 | 0.00% | 0.00% | 0.00% |
136 | North America | SV | El Salvador | 6 554 297 | 0.30% | 0.69% | 0.00% |
137 | Asia | CN | China | 1 439 323 776 | 0.00% | 0.00% | 0.00% |
138 | Africa | CM | Cameroon | 27 920 928 | 0.00% | 0.00% | 0.00% |
139 | Africa | CG | Congo | 5 800 725 | 0.01% | 0.03% | 0.00% |
140 | North America | HT | Haiti | 11 691 779 | 0.01% | 0.03% | 0.00% |
141 | Asia | MM | Myanmar | 55 168 730 | 0.00% | 0.00% | 0.00% |
142 | Africa | CD | DR Congo | 95 227 577 | 0.01% | 0.00% | 0.00% |
143 | Europe | BY | Belarus | 9 442 858 | 0.42% | 0.47% | 0.00% |
144 | Africa | ML | Mali | 21 464 627 | 0.00% | 0.00% | 0.00% |
145 | Africa | BW | Botswana | 2 450 435 | 0.72% | 0.52% | 0.00% |
146 | Asia | PS | Palestine | 5 348 192 | 0.00% | 0.00% | 0.00% |
147 | Africa | RW | Rwanda | 13 620 347 | 0.02% | 0.02% | 0.00% |
148 | Africa | GN | Guinea | 13 874 077 | 0.01% | 0.01% | 0.00% |
149 | Africa | BJ | Benin | 12 783 983 | 0.01% | 0.00% | 0.00% |
150 | Africa | GH | Ghana | 32 422 677 | 0.02% | 0.03% | 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 | 106 350 908 | 2.07% | (16.09)% | (0.00)% |
2 | Africa | GM | Gambia | 2 557 951 | 7.50% | (15.79)% | (0.01)% |
3 | Africa | GW | Guinea-Bissau | 2 064 793 | 1.18% | (3.85)% | (0.01)% |
4 | Asia | LK | Sri Lanka | 21 600 042 | 1.67% | (3.26)% | (0.01)% |
5 | North America | NI | Nicaragua | 6 788 561 | 2.58% | (2.27)% | (0.01)% |
6 | Africa | LS | Lesotho | 2 177 585 | 0.43% | (2.22)% | (0.02)% |
7 | Europe | NO | Norway | 5 509 445 | 1.71% | 2.03% | 0.38% |
8 | Africa | NA | Namibia | 2 636 661 | 0.59% | 1.78% | 0.07% |
9 | Africa | ZW | Zimbabwe | 15 313 161 | 1.11% | 1.71% | 0.03% |
10 | Africa | ZA | South Africa | 60 864 725 | 0.69% | 1.52% | 0.09% |
11 | Africa | CD | DR Congo | 95 227 577 | 0.96% | 1.50% | 0.00% |
12 | Europe | UA | Ukraine | 43 187 425 | 0.95% | 1.46% | 0.04% |
13 | Africa | SD | Sudan | 45 979 755 | 3.75% | 1.38% | 0.00% |
14 | North America | JM | Jamaica | 2 988 057 | 1.73% | 1.37% | 0.24% |
15 | Europe | BY | Belarus | 9 442 858 | 0.75% | 1.25% | 0.47% |
16 | Africa | MW | Malawi | 20 158 617 | 2.08% | 1.18% | 0.01% |
17 | North America | CA | Canada | 38 430 718 | 0.84% | 0.88% | 0.81% |
18 | Europe | BA | Bosnia and Herzegovina | 3 238 386 | 1.58% | 0.87% | 0.49% |
19 | Europe | RU | Russia | 146 064 628 | 1.65% | 0.85% | 0.25% |
20 | Europe | SE | Sweden | 10 230 290 | 1.64% | 0.84% | 0.77% |
21 | Europe | MD | Moldova | 4 014 464 | 1.35% | 0.81% | 0.67% |
22 | Asia | TH | Thailand | 70 164 343 | 0.55% | 0.74% | 0.22% |
23 | Asia | AZ | Azerbaijan | 10 329 338 | 0.96% | 0.72% | 0.10% |
24 | Europe | HU | Hungary | 9 609 334 | 1.17% | 0.71% | 1.86% |
25 | Asia | AF | Afghanistan | 40 752 734 | 1.02% | 0.68% | 0.02% |
26 | Africa | RW | Rwanda | 13 620 347 | 0.31% | 0.64% | 0.02% |
27 | South America | PY | Paraguay | 7 314 852 | 1.74% | 0.62% | 1.94% |
28 | Africa | GN | Guinea | 13 874 077 | 0.55% | 0.61% | 0.01% |
29 | Africa | MG | Madagascar | 29 172 400 | 0.88% | 0.57% | 0.02% |
30 | Africa | ET | Ethiopia | 120 889 430 | 0.26% | 0.56% | 0.01% |
31 | South America | CO | Colombia | 52 011 425 | 0.73% | 0.55% | 0.71% |
32 | Africa | AO | Angola | 34 993 794 | 0.37% | 0.51% | 0.02% |
33 | Africa | UG | Uganda | 48 747 095 | 0.75% | 0.47% | 0.01% |
34 | Europe | HR | Croatia | 4 052 626 | 0.74% | 0.44% | 2.34% |
35 | Asia | PK | Pakistan | 229 817 854 | 0.42% | 0.43% | 0.02% |
36 | Europe | GB | United Kingdom | 68 627 954 | 0.51% | 0.42% | 3.82% |
37 | Asia | IR | Iran | 86 230 076 | 0.91% | 0.39% | 0.28% |
38 | North America | HN | Honduras | 10 232 418 | 0.37% | 0.39% | 0.37% |
39 | Africa | TN | Tunisia | 12 075 950 | 0.65% | 0.38% | 2.09% |
40 | Africa | TG | Togo | 8 682 490 | 0.51% | 0.36% | 0.02% |
41 | North America | SV | El Salvador | 6 554 297 | 0.33% | 0.35% | 0.69% |
42 | South America | UY | Uruguay | 3 498 775 | 0.25% | 0.35% | 1.81% |
43 | Africa | GA | Gabon | 2 335 022 | 0.42% | 0.35% | 0.09% |
44 | North America | US | USA | 334 776 423 | 0.50% | 0.34% | 4.24% |
45 | Europe | ES | Spain | 46 792 448 | 0.38% | 0.34% | 2.73% |
46 | South America | VE | Venezuela | 28 268 374 | 0.61% | 0.33% | 0.07% |
47 | South America | BR | Brazil | 215 703 263 | 0.45% | 0.33% | 1.88% |
48 | Europe | BG | Bulgaria | 6 839 692 | 1.26% | 0.32% | 1.23% |
49 | South America | CL | Chile | 19 457 638 | 0.34% | 0.31% | 2.94% |
50 | Africa | ZM | Zambia | 19 455 353 | 0.38% | 0.30% | 0.07% |
51 | Africa | KE | Kenya | 56 236 044 | 0.16% | 0.29% | 0.02% |
52 | Europe | SK | Slovakia | 5 465 143 | 0.65% | 0.29% | 1.03% |
53 | North America | GT | Guatemala | 18 605 212 | 0.89% | 0.28% | 1.75% |
54 | Europe | MK | North Macedonia | 2 083 196 | 0.71% | 0.26% | 1.41% |
55 | Asia | BD | Bangladesh | 168 103 522 | 0.28% | 0.26% | 0.05% |
56 | South America | EC | Ecuador | 18 200 555 | 0.52% | 0.25% | 0.92% |
57 | Europe | PL | Poland | 37 760 394 | 1.21% | 0.25% | 0.35% |
58 | South America | PR | Puerto Rico | 3 193 694 | 0.17% | 0.24% | 10.60% |
59 | Asia | TW | Taiwan | 23 906 450 | 0.18% | 0.23% | 12.69% |
60 | South America | PE | Peru | 33 927 630 | 0.66% | 0.22% | 1.91% |
61 | Europe | IE | Ireland | 5 052 560 | 0.28% | 0.21% | 4.22% |
62 | Africa | CG | Congo | 5 800 725 | 0.33% | 0.21% | 0.03% |
63 | Europe | DK | Denmark | 5 834 637 | 0.47% | 0.21% | 3.04% |
64 | Africa | LY | Libya | 7 065 728 | 1.11% | 0.20% | 0.10% |
65 | Africa | GH | Ghana | 32 422 677 | 0.17% | 0.20% | 0.03% |
66 | Asia | ID | Indonesia | 279 542 137 | 0.99% | 0.19% | 0.09% |
67 | Africa | MZ | Mozambique | 33 077 670 | 0.37% | 0.19% | 0.02% |
68 | Australia/Oceania | NZ | New Zealand | 5 002 100 | 0.17% | 0.18% | 15.03% |
69 | Europe | RO | Romania | 18 970 854 | 0.53% | 0.18% | 1.49% |
70 | Asia | SA | Saudi Arabia | 35 942 111 | 0.34% | 0.18% | 0.10% |
71 | North America | PA | Panama | 4 456 110 | 0.14% | 0.18% | 3.39% |
72 | Europe | PT | Portugal | 10 134 876 | 0.17% | 0.18% | 4.61% |
73 | North America | MX | Mexico | 131 751 514 | 0.23% | 0.17% | 1.23% |
74 | Asia | AM | Armenia | 2 974 765 | 0.47% | 0.17% | 0.33% |
75 | Asia | GE | Georgia | 3 973 241 | 0.60% | 0.17% | 1.60% |
76 | Africa | MA | Morocco | 37 820 938 | 0.16% | 0.17% | 0.31% |
77 | Africa | CI | Ivory Coast | 27 737 554 | 0.38% | 0.17% | 0.02% |
78 | Asia | IN | India | 1 408 236 258 | 0.56% | 0.17% | 0.09% |
79 | South America | AR | Argentina | 46 058 736 | 0.21% | 0.17% | 1.08% |
80 | Europe | CZ | Czechia | 10 750 310 | 0.35% | 0.16% | 1.18% |
81 | Europe | RS | Serbia | 8 664 181 | 0.36% | 0.16% | 2.17% |
82 | Asia | PH | Philippines | 112 616 098 | 1.99% | 0.15% | 0.13% |
83 | Europe | BE | Belgium | 11 694 561 | 0.23% | 0.14% | 5.92% |
84 | Asia | MY | Malaysia | 33 228 923 | 0.16% | 0.14% | 0.85% |
85 | Europe | AL | Albania | 2 871 261 | 0.15% | 0.14% | 1.32% |
86 | Africa | BW | Botswana | 2 450 435 | 0.37% | 0.14% | 0.52% |
87 | Europe | GR | Greece | 10 317 182 | 0.27% | 0.14% | 18.73% |
88 | Europe | LT | Lithuania | 2 643 349 | 0.37% | 0.14% | 2.04% |
89 | Asia | IL | Israel | 9 326 000 | 0.12% | 0.14% | 8.65% |
90 | Europe | SI | Slovenia | 2 079 532 | 0.36% | 0.13% | 5.37% |
91 | Asia | HK | Hong Kong | 7 623 538 | 0.65% | 0.12% | 5.78% |
92 | Europe | FI | Finland | 5 558 625 | 0.41% | 0.12% | 2.46% |
93 | Australia/Oceania | AU | Australia | 26 115 548 | 0.10% | 0.11% | 12.05% |
94 | North America | HT | Haiti | 11 691 779 | 0.54% | 0.10% | 0.03% |
95 | Europe | IT | Italy | 60 276 909 | 0.18% | 0.10% | 11.70% |
96 | Africa | MR | Mauritania | 4 903 986 | 0.12% | 0.08% | 0.14% |
97 | Asia | TR | Turkey | 86 227 507 | 0.25% | 0.08% | 1.98% |
98 | Africa | NG | Nigeria | 216 771 563 | 0.10% | 0.08% | 0.00% |
99 | Asia | LB | Lebanon | 6 761 883 | 0.32% | 0.07% | 1.96% |
100 | South America | BO | Bolivia | 12 004 365 | 0.12% | 0.07% | 2.05% |
101 | Europe | FR | France | 65 573 982 | 0.10% | 0.06% | 11.85% |
102 | Asia | NP | Nepal | 30 227 344 | 0.07% | 0.06% | 0.05% |
103 | Europe | AT | Austria | 9 113 317 | 0.12% | 0.05% | 9.47% |
104 | Europe | NL | Netherlands | 17 213 743 | 0.08% | 0.05% | 2.43% |
105 | Asia | IQ | Iraq | 42 100 744 | 0.10% | 0.05% | 0.60% |
106 | Asia | JO | Jordan | 10 413 903 | 0.26% | 0.04% | 0.26% |
107 | Asia | KZ | Kazakhstan | 19 244 066 | 0.14% | 0.04% | 0.42% |
108 | Asia | KR | South Korea | 51 360 968 | 0.11% | 0.04% | 6.24% |
109 | Europe | DE | Germany | 84 341 285 | 0.07% | 0.04% | 8.76% |
110 | Asia | JP | Japan | 125 671 231 | 0.08% | 0.04% | 5.04% |
111 | Europe | CH | Switzerland | 8 786 314 | 0.06% | 0.03% | 5.17% |
112 | Asia | SG | Singapore | 5 946 078 | 0.04% | 0.03% | 12.05% |
113 | Asia | AE | Arab Emirates | 10 139 064 | 0.03% | 0.02% | 1.08% |
114 | Asia | VN | Vietnam | 99 160 960 | 0.03% | 0.02% | 0.07% |
115 | Asia | MN | Mongolia | 3 388 150 | 0.07% | 0.02% | 0.80% |
116 | Asia | KW | Kuwait | 4 401 998 | 0.01% | 0.01% | 0.72% |
117 | Asia | QA | Qatar | 2 807 805 | 0.01% | 0.01% | 2.13% |
118 | North America | CR | Costa Rica | 5 190 911 | 0.20% | 0.00% | 4.27% |
119 | North America | DO | Dominican R. | 11 074 270 | 0.02% | 0.00% | 0.92% |
120 | Asia | OM | Oman | 5 376 889 | 0.24% | 0.00% | 0.21% |
121 | Africa | BI | Burundi | 12 627 743 | 0.00% | 0.00% | 0.04% |
122 | Asia | KG | Kyrgyzstan | 6 748 187 | 1.41% | 0.00% | 0.04% |
123 | North America | CU | Cuba | 11 312 236 | 0.07% | 0.00% | 0.04% |
124 | Asia | LA | Laos | 7 495 255 | 0.18% | 0.00% | 0.02% |
125 | Asia | UZ | Uzbekistan | 34 478 582 | 0.00% | 0.00% | 0.02% |
126 | Africa | ER | Eritrea | 3 648 560 | 0.00% | 0.00% | 0.01% |
127 | Africa | SN | Senegal | 17 662 125 | 0.28% | 0.00% | 0.01% |
128 | Africa | TZ | Tanzania | 63 274 840 | 1.49% | 0.00% | 0.01% |
129 | Asia | KH | Cambodia | 17 200 455 | 0.20% | 0.00% | 0.01% |
130 | Africa | DZ | Algeria | 45 498 823 | 0.10% | 0.00% | 0.01% |
131 | Africa | BJ | Benin | 12 783 983 | 0.00% | 0.00% | 0.00% |
132 | Africa | SO | Somalia | 16 815 935 | 0.00% | 0.00% | 0.00% |
133 | Asia | SY | Syria | 18 385 337 | 1.41% | 0.00% | 0.00% |
134 | Australia/Oceania | PG | Papua New Guinea | 9 299 707 | 1.28% | 0.00% | 0.00% |
135 | Africa | BF | Burkina Faso | 22 096 048 | 2.54% | 0.00% | 0.00% |
136 | Asia | MM | Myanmar | 55 168 730 | 0.04% | 0.00% | 0.00% |
137 | Africa | SS | South Sudan | 11 466 813 | 0.00% | 0.00% | 0.00% |
138 | Africa | SL | Sierra Leone | 8 314 553 | 0.00% | 0.00% | 0.00% |
139 | Africa | CF | Central African R. | 5 004 512 | 0.00% | 0.00% | 0.00% |
140 | Africa | ML | Mali | 21 464 627 | 1.22% | 0.00% | 0.00% |
141 | Africa | LR | Liberia | 5 305 052 | 0.00% | 0.00% | 0.00% |
142 | Asia | YE | Yemen | 31 192 930 | 13.73% | 0.00% | 0.00% |
143 | Africa | NE | Niger | 26 030 170 | 0.99% | 0.00% | 0.00% |
144 | Africa | TD | Chad | 17 406 702 | 1.85% | 0.00% | 0.00% |
145 | Africa | CM | Cameroon | 27 920 928 | 0.60% | 0.00% | 0.00% |
146 | Asia | PS | Palestine | 5 348 192 | 0.00% | 0.00% | 0.00% |
147 | Asia | KP | North Korea | 25 660 000 | 0.00% | 0.00% | 0.00% |
148 | Europe | TM | Turkmenistan | 6 118 000 | 0.00% | 0.00% | 0.00% |
149 | Asia | TJ | Tajikistan | 9 983 431 | 0.00% | 0.00% | 0.00% |
150 | Asia | CN | China | 1 439 323 776 | 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 | 33 927 630 | 213 937 | 6.306‰ |
2 | Europe | BG | Bulgaria | 6 839 692 | 37 329 | 5.458‰ |
3 | Europe | BA | Bosnia and Herzegovina | 3 238 386 | 15 840 | 4.891‰ |
4 | Europe | HU | Hungary | 9 609 334 | 46 832 | 4.874‰ |
5 | Europe | MK | North Macedonia | 2 083 196 | 9 353 | 4.490‰ |
6 | Asia | GE | Georgia | 3 973 241 | 16 854 | 4.242‰ |
7 | Europe | HR | Croatia | 4 052 626 | 16 202 | 3.998‰ |
8 | Europe | SI | Slovenia | 2 079 532 | 7 881 | 3.790‰ |
9 | Europe | CZ | Czechia | 10 750 310 | 40 385 | 3.757‰ |
10 | Europe | SK | Slovakia | 5 465 143 | 20 197 | 3.696‰ |
11 | Europe | LT | Lithuania | 2 643 349 | 9 198 | 3.480‰ |
12 | Europe | RO | Romania | 18 970 854 | 65 879 | 3.473‰ |
13 | South America | BR | Brazil | 215 703 263 | 676 488 | 3.136‰ |
14 | Europe | PL | Poland | 37 760 394 | 116 514 | 3.086‰ |
15 | South America | CL | Chile | 19 457 638 | 59 223 | 3.044‰ |
16 | North America | US | USA | 334 776 423 | 1 015 897 | 3.035‰ |
17 | Europe | GR | Greece | 10 317 182 | 30 707 | 2.976‰ |
18 | Asia | AM | Armenia | 2 974 765 | 8 628 | 2.900‰ |
19 | Europe | MD | Moldova | 4 014 464 | 11 592 | 2.888‰ |
20 | Europe | IT | Italy | 60 276 909 | 170 717 | 2.832‰ |
21 | South America | AR | Argentina | 46 058 736 | 129 202 | 2.805‰ |
22 | Europe | BE | Belgium | 11 694 561 | 32 118 | 2.746‰ |
23 | South America | CO | Colombia | 52 011 425 | 140 365 | 2.699‰ |
24 | Europe | GB | United Kingdom | 68 627 954 | 182 727 | 2.663‰ |
25 | Europe | RU | Russia | 146 064 628 | 382 123 | 2.616‰ |
26 | South America | PY | Paraguay | 7 314 852 | 19 083 | 2.609‰ |
27 | Europe | UA | Ukraine | 43 187 425 | 108 699 | 2.517‰ |
28 | North America | MX | Mexico | 131 751 514 | 326 897 | 2.481‰ |
29 | Europe | PT | Portugal | 10 134 876 | 24 527 | 2.420‰ |
30 | Africa | TN | Tunisia | 12 075 950 | 28 951 | 2.397‰ |
31 | Europe | ES | Spain | 46 792 448 | 109 642 | 2.343‰ |
32 | Europe | FR | France | 65 573 982 | 147 926 | 2.256‰ |
33 | Europe | AT | Austria | 9 113 317 | 20 237 | 2.221‰ |
34 | South America | UY | Uruguay | 3 498 775 | 7 387 | 2.111‰ |
35 | South America | EC | Ecuador | 18 200 555 | 35 781 | 1.966‰ |
36 | North America | PA | Panama | 4 456 110 | 8 395 | 1.884‰ |
37 | Europe | SE | Sweden | 10 230 290 | 19 249 | 1.882‰ |
38 | Europe | RS | Serbia | 8 664 181 | 16 203 | 1.870‰ |
39 | South America | BO | Bolivia | 12 004 365 | 22 002 | 1.833‰ |
40 | Europe | DE | Germany | 84 341 285 | 143 271 | 1.699‰ |
41 | Africa | ZA | South Africa | 60 864 725 | 101 942 | 1.675‰ |
42 | North America | CR | Costa Rica | 5 190 911 | 8 525 | 1.642‰ |
43 | Asia | IR | Iran | 86 230 076 | 141 606 | 1.642‰ |
44 | Asia | LB | Lebanon | 6 761 883 | 10 498 | 1.552‰ |
45 | Africa | NA | Namibia | 2 636 661 | 4 069 | 1.543‰ |
46 | Europe | CH | Switzerland | 8 786 314 | 13 387 | 1.524‰ |
47 | Europe | IE | Ireland | 5 052 560 | 7 620 | 1.508‰ |
48 | South America | PR | Puerto Rico | 3 193 694 | 4 708 | 1.474‰ |
49 | Asia | JO | Jordan | 10 413 903 | 14 070 | 1.351‰ |
50 | Europe | NL | Netherlands | 17 213 743 | 22 453 | 1.304‰ |
51 | Asia | HK | Hong Kong | 7 623 538 | 9 520 | 1.249‰ |
52 | Europe | AL | Albania | 2 871 261 | 3 519 | 1.226‰ |
53 | Asia | IL | Israel | 9 326 000 | 11 407 | 1.223‰ |
54 | Asia | TR | Turkey | 86 227 507 | 99 184 | 1.150‰ |
55 | Europe | DK | Denmark | 5 834 637 | 6 586 | 1.129‰ |
56 | Africa | BW | Botswana | 2 450 435 | 2 752 | 1.123‰ |
57 | North America | CA | Canada | 38 430 718 | 42 148 | 1.097‰ |
58 | Asia | MY | Malaysia | 33 228 923 | 35 896 | 1.080‰ |
59 | North America | HN | Honduras | 10 232 418 | 10 937 | 1.069‰ |
60 | North America | JM | Jamaica | 2 988 057 | 3 175 | 1.063‰ |
61 | North America | GT | Guatemala | 18 605 212 | 18 873 | 1.014‰ |
62 | Asia | KZ | Kazakhstan | 19 244 066 | 19 020 | 0.988‰ |
63 | Asia | AZ | Azerbaijan | 10 329 338 | 9 733 | 0.942‰ |
64 | Africa | LY | Libya | 7 065 728 | 6 431 | 0.910‰ |
65 | Europe | FI | Finland | 5 558 625 | 5 012 | 0.902‰ |
66 | Asia | OM | Oman | 5 376 889 | 4 628 | 0.861‰ |
67 | Asia | LK | Sri Lanka | 21 600 042 | 16 542 | 0.766‰ |
68 | North America | CU | Cuba | 11 312 236 | 8 529 | 0.754‰ |
69 | Europe | BY | Belarus | 9 442 858 | 7 118 | 0.754‰ |
70 | Europe | NO | Norway | 5 509 445 | 3 596 | 0.653‰ |
71 | North America | SV | El Salvador | 6 554 297 | 4 186 | 0.639‰ |
72 | Asia | MN | Mongolia | 3 388 150 | 2 119 | 0.625‰ |
73 | Asia | IQ | Iraq | 42 100 744 | 25 279 | 0.600‰ |
74 | Asia | KW | Kuwait | 4 401 998 | 2 556 | 0.581‰ |
75 | Asia | ID | Indonesia | 279 542 137 | 156 898 | 0.561‰ |
76 | Asia | PH | Philippines | 112 616 098 | 60 654 | 0.539‰ |
77 | Asia | KR | South Korea | 51 360 968 | 24 851 | 0.484‰ |
78 | Asia | TH | Thailand | 70 164 343 | 31 105 | 0.443‰ |
79 | Asia | KG | Kyrgyzstan | 6 748 187 | 2 991 | 0.443‰ |
80 | Asia | VN | Vietnam | 99 160 960 | 43 091 | 0.435‰ |
81 | Africa | MA | Morocco | 37 820 938 | 16 202 | 0.428‰ |
82 | Australia/Oceania | AU | Australia | 26 115 548 | 11 033 | 0.422‰ |
83 | North America | DO | Dominican R. | 11 074 270 | 4 383 | 0.396‰ |
84 | Asia | NP | Nepal | 30 227 344 | 11 954 | 0.396‰ |
85 | Australia/Oceania | NZ | New Zealand | 5 002 100 | 1 918 | 0.383‰ |
86 | Asia | TW | Taiwan | 23 906 450 | 9 026 | 0.378‰ |
87 | Asia | IN | India | 1 408 236 258 | 525 917 | 0.373‰ |
88 | Africa | ZW | Zimbabwe | 15 313 161 | 5 570 | 0.364‰ |
89 | Asia | MM | Myanmar | 55 168 730 | 19 434 | 0.352‰ |
90 | Africa | LS | Lesotho | 2 177 585 | 702 | 0.322‰ |
91 | Asia | SA | Saudi Arabia | 35 942 111 | 9 236 | 0.257‰ |
92 | Asia | JP | Japan | 125 671 231 | 31 860 | 0.254‰ |
93 | Asia | SG | Singapore | 5 946 078 | 1 488 | 0.250‰ |
94 | Asia | QA | Qatar | 2 807 805 | 680 | 0.242‰ |
95 | Africa | EG | Egypt | 106 350 908 | 24 750 | 0.233‰ |
96 | Asia | AE | Arab Emirates | 10 139 064 | 2 328 | 0.230‰ |
97 | Africa | ZM | Zambia | 19 455 353 | 4 013 | 0.206‰ |
98 | South America | VE | Venezuela | 28 268 374 | 5 753 | 0.203‰ |
99 | Africa | MR | Mauritania | 4 903 986 | 986 | 0.201‰ |
100 | Asia | AF | Afghanistan | 40 752 734 | 7 737 | 0.190‰ |
101 | Asia | KH | Cambodia | 17 200 455 | 3 056 | 0.178‰ |
102 | Asia | BD | Bangladesh | 168 103 522 | 29 259 | 0.174‰ |
103 | Asia | SY | Syria | 18 385 337 | 3 150 | 0.171‰ |
104 | Africa | DZ | Algeria | 45 498 823 | 6 875 | 0.151‰ |
105 | Africa | GM | Gambia | 2 557 951 | 368 | 0.144‰ |
106 | Asia | PK | Pakistan | 229 817 854 | 30 461 | 0.133‰ |
107 | Africa | MW | Malawi | 20 158 617 | 2 651 | 0.132‰ |
108 | Africa | GA | Gabon | 2 335 022 | 306 | 0.131‰ |
109 | Africa | SN | Senegal | 17 662 125 | 1 968 | 0.111‰ |
110 | Africa | SD | Sudan | 45 979 755 | 4 956 | 0.108‰ |
111 | Africa | RW | Rwanda | 13 620 347 | 1 466 | 0.108‰ |
112 | Asia | LA | Laos | 7 495 255 | 757 | 0.101‰ |
113 | Africa | KE | Kenya | 56 236 044 | 5 670 | 0.101‰ |
114 | Africa | GW | Guinea-Bissau | 2 064 793 | 173 | 0.084‰ |
115 | Africa | SO | Somalia | 16 815 935 | 1 361 | 0.081‰ |
116 | Africa | UG | Uganda | 48 747 095 | 3 626 | 0.074‰ |
117 | North America | HT | Haiti | 11 691 779 | 838 | 0.072‰ |
118 | Australia/Oceania | PG | Papua New Guinea | 9 299 707 | 662 | 0.071‰ |
119 | Africa | CM | Cameroon | 27 920 928 | 1 931 | 0.069‰ |
120 | Asia | YE | Yemen | 31 192 930 | 2 149 | 0.069‰ |
121 | Africa | MZ | Mozambique | 33 077 670 | 2 215 | 0.067‰ |
122 | Africa | CG | Congo | 5 800 725 | 386 | 0.067‰ |
123 | Africa | ET | Ethiopia | 120 889 430 | 7 564 | 0.063‰ |
124 | Africa | LR | Liberia | 5 305 052 | 294 | 0.055‰ |
125 | Africa | AO | Angola | 34 993 794 | 1 912 | 0.055‰ |
126 | Africa | MG | Madagascar | 29 172 400 | 1 406 | 0.048‰ |
127 | Asia | UZ | Uzbekistan | 34 478 582 | 1 637 | 0.048‰ |
128 | Africa | GH | Ghana | 32 422 677 | 1 456 | 0.045‰ |
129 | North America | NI | Nicaragua | 6 788 561 | 244 | 0.036‰ |
130 | Africa | ML | Mali | 21 464 627 | 737 | 0.034‰ |
131 | Africa | GN | Guinea | 13 874 077 | 445 | 0.032‰ |
132 | Africa | TG | Togo | 8 682 490 | 277 | 0.032‰ |
133 | Africa | CI | Ivory Coast | 27 737 554 | 808 | 0.029‰ |
134 | Africa | ER | Eritrea | 3 648 560 | 103 | 0.028‰ |
135 | Africa | CF | Central African R. | 5 004 512 | 113 | 0.023‰ |
136 | Africa | BF | Burkina Faso | 22 096 048 | 387 | 0.018‰ |
137 | Africa | SL | Sierra Leone | 8 314 553 | 125 | 0.015‰ |
138 | Africa | CD | DR Congo | 95 227 577 | 1 390 | 0.015‰ |
139 | Africa | NG | Nigeria | 216 771 563 | 3 146 | 0.015‰ |
140 | Africa | TZ | Tanzania | 63 274 840 | 841 | 0.013‰ |
141 | Africa | BJ | Benin | 12 783 983 | 163 | 0.013‰ |
142 | Africa | SS | South Sudan | 11 466 813 | 138 | 0.012‰ |
143 | Africa | NE | Niger | 26 030 170 | 311 | 0.012‰ |
144 | Africa | TD | Chad | 17 406 702 | 193 | 0.011‰ |
145 | Asia | PS | Palestine | 5 348 192 | 8 | 0.002‰ |
146 | Africa | BI | Burundi | 12 627 743 | 15 | 0.001‰ |
147 | Asia | CN | China | 1 439 323 776 | 0 | 0.000‰ |
148 | Asia | KP | North Korea | 25 660 000 | 0 | 0.000‰ |
149 | Asia | TJ | Tajikistan | 9 983 431 | 0 | 0.000‰ |
150 | Europe | TM | Turkmenistan | 6 118 000 | 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"