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": 2021-04-16 11:20
(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 | +2 416 (+2 678) | +30 (+34) |
CZ | Czechia | +3 238 (+3 710) | +38 (+80) |
DE | Germany | +0 (+30 634) | +0 (+328) |
HU | Hungary | +5 216 (+5 307) | +241 (+256) |
PL | Poland | +17 847 (+21 129) | +595 (+683) |
SK | Slovakia, [gov], [okr] | +636 (+843) | +93 (+79) |
COVID-19, New Cases in Regions (incidence rate)
N. | Region | Population | Last 120 days | Last 30 days | Last 7 days |
---|---|---|---|---|---|
1 | South America | 436 805 957 | 2.49% | 3.27% | 3.70% |
2 | Europe | 755 994 592 | 2.89% | 3.06% | 2.80% |
3 | North America | 592 314 330 | 2.86% | 1.58% | 1.78% |
4 | Asia | 4 661 134 894 | 0.28% | 0.51% | 0.75% |
5 | Africa | 1 365 078 505 | 0.15% | 0.10% | 0.10% |
6 | Australia/Oceania | 43 192 513 | 0.03% | 0.07% | 0.06% |
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 | South America | 436 805 957 | 2.56% | 4.11% | 3.27% |
2 | Africa | 1 365 078 505 | 2.95% | 3.28% | 0.10% |
3 | North America | 592 314 330 | 2.08% | 2.74% | 1.58% |
4 | Europe | 755 994 592 | 2.21% | 2.22% | 3.06% |
5 | Asia | 4 661 134 894 | 1.20% | 1.14% | 0.51% |
6 | Australia/Oceania | 43 192 513 | 1.05% | (1.02)% | (0.07)% |
COVID-19, Total Mortality from population of Regions
N. | Region | Population | Deaths | 1000*Deaths/Pop. |
---|---|---|---|---|
1 | South America | 436 805 957 | 609 552 | 1.395‰ |
2 | North America | 592 314 330 | 822 699 | 1.389‰ |
3 | Europe | 755 994 592 | 968 673 | 1.281‰ |
4 | Asia | 4 661 134 894 | 450 243 | 0.097‰ |
5 | Africa | 1 365 078 505 | 117 345 | 0.086‰ |
6 | Australia/Oceania | 43 192 513 | 1 302 | 0.030‰ |
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 | South America | UY | Uruguay | 3 483 224 | 4.12% | 9.30% | 13.22% |
2 | Asia | TR | Turkey | 85 052 838 | 2.54% | 5.53% | 8.00% |
3 | Europe | HU | Hungary | 9 640 967 | 4.67% | 8.70% | 6.47% |
4 | Europe | FR | France | 65 387 466 | 4.19% | 6.55% | 6.45% |
5 | Europe | HR | Croatia | 4 085 238 | 2.97% | 4.80% | 6.35% |
6 | Europe | SE | Sweden | 10 148 878 | 5.29% | 6.31% | 6.04% |
7 | Europe | PL | Poland | 37 813 871 | 3.94% | 7.44% | 5.99% |
8 | South America | AR | Argentina | 45 522 155 | 2.40% | 3.53% | 5.80% |
9 | Europe | SI | Slovenia | 2 079 164 | 6.23% | 5.48% | 5.37% |
10 | Europe | NL | Netherlands | 17 164 784 | 4.31% | 4.92% | 5.11% |
11 | Europe | MK | North Macedonia | 2 083 306 | 3.33% | 5.97% | 5.03% |
12 | Europe | LT | Lithuania | 2 692 167 | 4.67% | 3.66% | 4.61% |
13 | South America | CL | Chile | 19 245 367 | 2.73% | 4.18% | 4.49% |
14 | Europe | RS | Serbia | 8 709 547 | 4.27% | 5.91% | 4.30% |
15 | Asia | QA | Qatar | 2 807 805 | 1.87% | 3.24% | 4.15% |
16 | Asia | KW | Kuwait | 4 320 165 | 2.46% | 3.79% | 4.05% |
17 | Asia | JO | Jordan | 10 282 825 | 4.00% | 7.15% | 3.95% |
18 | South America | BR | Brazil | 213 749 436 | 3.14% | 4.04% | 3.91% |
19 | Asia | LB | Lebanon | 6 801 277 | 5.20% | 4.79% | 3.87% |
20 | Europe | UA | Ukraine | 43 525 906 | 2.27% | 3.97% | 3.84% |
21 | South America | PR | Puerto Rico | 3 193 694 | 1.69% | 1.80% | 3.83% |
22 | Europe | CZ | Czechia | 10 724 658 | 9.27% | 6.34% | 3.82% |
23 | Europe | BG | Bulgaria | 6 907 046 | 2.85% | 5.51% | 3.82% |
24 | South America | PY | Paraguay | 7 201 405 | 2.04% | 3.39% | 3.66% |
25 | Europe | BA | Bosnia and Herzegovina | 3 264 674 | 2.59% | 5.06% | 3.62% |
26 | South America | CO | Colombia | 51 309 459 | 2.22% | 2.19% | 3.56% |
27 | Asia | AM | Armenia | 2 967 613 | 1.90% | 3.63% | 3.43% |
28 | South America | PE | Peru | 33 332 642 | 2.06% | 3.05% | 3.35% |
29 | Asia | IR | Iran | 84 837 813 | 1.22% | 1.91% | 3.27% |
30 | Europe | GR | Greece | 10 382 792 | 1.74% | 3.24% | 3.27% |
31 | Europe | AT | Austria | 9 046 892 | 2.82% | 3.89% | 3.26% |
32 | Asia | MN | Mongolia | 3 319 723 | 0.54% | 1.77% | 3.18% |
33 | Europe | IT | Italy | 60 391 595 | 3.21% | 3.76% | 3.08% |
34 | Europe | DE | Germany | 83 995 236 | 2.02% | 2.43% | 3.02% |
35 | Asia | OM | Oman | 5 208 154 | 0.96% | 2.20% | 2.85% |
36 | Europe | BE | Belgium | 11 629 388 | 2.75% | 4.07% | 2.83% |
37 | North America | CA | Canada | 38 002 618 | 1.61% | 1.84% | 2.71% |
38 | Asia | GE | Georgia | 3 983 117 | 2.31% | 1.73% | 2.64% |
39 | Asia | AZ | Azerbaijan | 10 211 103 | 1.09% | 2.06% | 2.52% |
40 | North America | US | USA | 332 532 050 | 4.41% | 2.28% | 2.52% |
41 | Europe | RO | Romania | 19 136 146 | 2.34% | 3.17% | 2.39% |
42 | Europe | CH | Switzerland | 8 704 466 | 2.61% | 2.41% | 2.33% |
43 | Asia | AE | Arab Emirates | 9 984 338 | 3.03% | 2.45% | 2.28% |
44 | Asia | IQ | Iraq | 40 928 986 | 0.92% | 1.84% | 2.24% |
45 | North America | CR | Costa Rica | 5 130 727 | 1.41% | 1.28% | 2.21% |
46 | Europe | MD | Moldova | 4 026 555 | 2.83% | 3.69% | 2.14% |
47 | Europe | ES | Spain | 46 769 075 | 3.40% | 1.61% | 1.87% |
48 | Africa | TN | Tunisia | 11 915 894 | 1.38% | 1.23% | 1.81% |
49 | Africa | BW | Botswana | 2 388 828 | 1.31% | 1.67% | 1.70% |
50 | Europe | SK | Slovakia | 5 461 730 | 4.31% | 2.36% | 1.63% |
51 | Europe | NO | Norway | 5 454 619 | 1.18% | 1.81% | 1.53% |
52 | Europe | BY | Belarus | 9 446 869 | 1.84% | 1.52% | 1.49% |
53 | Europe | DK | Denmark | 5 808 288 | 1.94% | 1.43% | 1.38% |
54 | Asia | KZ | Kazakhstan | 18 953 268 | 0.75% | 1.13% | 1.38% |
55 | South America | EC | Ecuador | 17 853 392 | 0.85% | 1.18% | 1.33% |
56 | Asia | IN | India | 1 390 679 153 | 0.30% | 0.76% | 1.25% |
57 | Asia | PH | Philippines | 110 727 033 | 0.41% | 0.98% | 1.17% |
58 | Africa | LY | Libya | 6 944 698 | 1.12% | 1.35% | 1.09% |
59 | North America | CU | Cuba | 11 321 156 | 0.71% | 0.97% | 1.04% |
60 | South America | BO | Bolivia | 11 798 112 | 1.16% | 0.85% | 1.02% |
61 | Europe | AL | Albania | 2 875 315 | 2.73% | 1.48% | 0.97% |
62 | North America | JM | Jamaica | 2 971 357 | 1.05% | 1.53% | 0.94% |
63 | Europe | IE | Ireland | 4 981 160 | 3.32% | 1.18% | 0.92% |
64 | North America | PA | Panama | 4 368 082 | 3.72% | 1.03% | 0.85% |
65 | Europe | FI | Finland | 5 547 512 | 0.93% | 1.12% | 0.77% |
66 | North America | HN | Honduras | 10 028 249 | 0.82% | 0.74% | 0.76% |
67 | Africa | NA | Namibia | 2 576 989 | 1.12% | 0.73% | 0.75% |
68 | Europe | RU | Russia | 145 983 862 | 1.32% | 0.73% | 0.71% |
69 | Asia | MY | Malaysia | 32 691 886 | 0.86% | 0.52% | 0.66% |
70 | North America | GT | Guatemala | 18 175 404 | 0.42% | 0.50% | 0.65% |
71 | Europe | PT | Portugal | 10 173 212 | 4.63% | 0.57% | 0.63% |
72 | Asia | PS | Palestine | 5 194 206 | 0.03% | 0.13% | 0.57% |
73 | North America | DO | Dominican R. | 10 933 492 | 0.94% | 0.47% | 0.57% |
74 | Africa | GA | Gabon | 2 266 822 | 0.51% | 0.71% | 0.53% |
75 | South America | VE | Venezuela | 28 372 266 | 0.25% | 0.45% | 0.49% |
76 | Asia | BD | Bangladesh | 165 980 237 | 0.13% | 0.35% | 0.43% |
77 | Europe | GB | United Kingdom | 68 167 060 | 3.53% | 0.66% | 0.41% |
78 | Asia | KG | Kyrgyzstan | 6 608 658 | 0.20% | 0.26% | 0.41% |
79 | North America | MX | Mexico | 129 998 266 | 0.79% | 0.38% | 0.38% |
80 | North America | SV | El Salvador | 6 512 000 | 0.38% | 0.26% | 0.35% |
81 | Asia | JP | Japan | 126 170 451 | 0.26% | 0.21% | 0.32% |
82 | Asia | SA | Saudi Arabia | 35 239 473 | 0.12% | 0.22% | 0.31% |
83 | Africa | CM | Cameroon | 27 062 544 | 0.13% | 0.34% | 0.28% |
84 | Asia | IL | Israel | 9 197 590 | 5.13% | 0.62% | 0.26% |
85 | Asia | PK | Pakistan | 224 253 902 | 0.13% | 0.23% | 0.26% |
86 | Australia/Oceania | PG | Papua New Guinea | 9 079 879 | 0.09% | 0.30% | 0.26% |
87 | Africa | ZA | South Africa | 59 896 382 | 1.13% | 0.21% | 0.23% |
88 | Asia | ID | Indonesia | 275 798 600 | 0.35% | 0.23% | 0.23% |
89 | Africa | MG | Madagascar | 28 247 452 | 0.04% | 0.13% | 0.23% |
90 | Asia | TH | Thailand | 69 938 149 | 0.05% | 0.07% | 0.20% |
91 | Africa | KE | Kenya | 54 698 558 | 0.10% | 0.25% | 0.19% |
92 | Africa | ET | Ethiopia | 117 190 341 | 0.10% | 0.20% | 0.19% |
93 | Africa | MA | Morocco | 37 254 502 | 0.26% | 0.16% | 0.18% |
94 | Asia | NP | Nepal | 29 547 776 | 0.11% | 0.09% | 0.17% |
95 | Asia | KH | Cambodia | 16 900 725 | 0.03% | 0.09% | 0.16% |
96 | Asia | KR | South Korea | 51 304 013 | 0.13% | 0.12% | 0.15% |
97 | Africa | TG | Togo | 8 430 534 | 0.11% | 0.20% | 0.15% |
98 | Asia | LK | Sri Lanka | 21 484 036 | 0.29% | 0.14% | 0.13% |
99 | Africa | ML | Mali | 20 706 145 | 0.03% | 0.07% | 0.12% |
100 | Africa | EG | Egypt | 103 847 468 | 0.09% | 0.08% | 0.09% |
101 | Africa | SO | Somalia | 16 239 481 | 0.05% | 0.09% | 0.09% |
102 | Africa | GM | Gambia | 2 469 682 | 0.08% | 0.11% | 0.09% |
103 | Africa | ZM | Zambia | 18 785 992 | 0.38% | 0.11% | 0.09% |
104 | Africa | GN | Guinea | 13 411 064 | 0.06% | 0.10% | 0.08% |
105 | Asia | SY | Syria | 17 833 162 | 0.06% | 0.09% | 0.08% |
106 | Africa | RW | Rwanda | 13 203 279 | 0.13% | 0.11% | 0.08% |
107 | Asia | UZ | Uzbekistan | 33 850 137 | 0.03% | 0.06% | 0.08% |
108 | Africa | BI | Burundi | 12 167 109 | 0.02% | 0.03% | 0.06% |
109 | Asia | SG | Singapore | 5 886 569 | 0.04% | 0.04% | 0.05% |
110 | Africa | ER | Eritrea | 3 584 978 | 0.08% | 0.05% | 0.04% |
111 | Africa | AO | Angola | 33 663 530 | 0.02% | 0.03% | 0.04% |
112 | Africa | ZW | Zimbabwe | 15 032 836 | 0.17% | 0.02% | 0.04% |
113 | Africa | DZ | Algeria | 44 471 990 | 0.06% | 0.03% | 0.04% |
114 | Africa | SN | Senegal | 17 088 723 | 0.13% | 0.06% | 0.04% |
115 | Africa | GW | Guinea-Bissau | 2 004 390 | 0.06% | 0.05% | 0.04% |
116 | Asia | YE | Yemen | 30 340 231 | 0.01% | 0.04% | 0.03% |
117 | Africa | MZ | Mozambique | 31 939 216 | 0.16% | 0.05% | 0.03% |
118 | Asia | AF | Afghanistan | 39 614 554 | 0.02% | 0.02% | 0.03% |
119 | Africa | MR | Mauritania | 4 745 164 | 0.15% | 0.05% | 0.03% |
120 | Africa | GH | Ghana | 31 580 972 | 0.12% | 0.04% | 0.02% |
121 | Africa | CF | Central African R. | 4 895 636 | 0.01% | 0.04% | 0.02% |
122 | Africa | CI | Ivory Coast | 26 889 052 | 0.09% | 0.11% | 0.02% |
123 | Africa | SS | South Sudan | 11 296 903 | 0.06% | 0.03% | 0.01% |
124 | Africa | MW | Malawi | 19 516 315 | 0.14% | 0.02% | 0.01% |
125 | Africa | BJ | Benin | 12 371 351 | 0.04% | 0.04% | 0.01% |
126 | Africa | BF | Burkina Faso | 21 350 969 | 0.04% | 0.01% | 0.01% |
127 | Australia/Oceania | NZ | New Zealand | 5 002 100 | 0.01% | 0.01% | 0.01% |
128 | North America | NI | Nicaragua | 6 686 515 | 0.01% | 0.01% | 0.01% |
129 | Africa | SD | Sudan | 44 650 323 | 0.02% | 0.02% | 0.01% |
130 | North America | HT | Haiti | 11 511 792 | 0.03% | 0.01% | 0.01% |
131 | Africa | UG | Uganda | 46 867 258 | 0.03% | 0.01% | 0.01% |
132 | Australia/Oceania | AU | Australia | 25 732 506 | 0.01% | 0.01% | 0.01% |
133 | Africa | TD | Chad | 16 793 808 | 0.02% | 0.01% | 0.01% |
134 | Africa | SL | Sierra Leone | 8 104 071 | 0.02% | 0.00% | 0.01% |
135 | Africa | CD | DR Congo | 91 685 378 | 0.02% | 0.01% | 0.01% |
136 | Africa | NG | Nigeria | 210 134 738 | 0.04% | 0.01% | 0.00% |
137 | Africa | NE | Niger | 24 888 432 | 0.01% | 0.00% | 0.00% |
138 | Africa | LS | Lesotho | 2 155 620 | 0.39% | 0.03% | 0.00% |
139 | Asia | VN | Vietnam | 98 027 872 | 0.00% | 0.00% | 0.00% |
140 | Africa | LR | Liberia | 5 150 686 | 0.01% | 0.00% | 0.00% |
141 | Asia | HK | Hong Kong | 7 544 866 | 0.00% | 0.00% | 0.00% |
142 | Asia | TW | Taiwan | 23 850 790 | 0.00% | 0.00% | 0.00% |
143 | Asia | MM | Myanmar | 54 697 119 | 0.06% | 0.00% | 0.00% |
144 | Asia | LA | Laos | 7 358 471 | 0.00% | 0.00% | 0.00% |
145 | Africa | TZ | Tanzania | 61 062 542 | 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 | 9 705 323 | 0.00% | 0.00% | 0.00% |
149 | Asia | CN | China | 1 439 323 776 | 0.00% | 0.00% | 0.00% |
150 | Africa | CG | Congo | 5 624 301 | 0.07% | 0.05% | 0.00% |
COVID-19, Relative Mortality rate from positive cases in Countries
Filtered where Population more then 2 million, [All Countries] | Compare with [DEATHS]! and with [FATALITY RATE]N. | Region | CD | Country | Population | Mortality last 120 days | Mortality last 30 days | New positive cases last 30 days |
---|---|---|---|---|---|---|---|
1 | Asia | YE | Yemen | 30 340 231 | 16.08% | (15.31)% | (0.04)% |
2 | Africa | SD | Sudan | 44 650 323 | 6.46% | (12.00)% | (0.02)% |
3 | North America | MX | Mexico | 129 998 266 | 8.95% | 11.99% | 0.38% |
4 | Asia | SY | Syria | 17 833 162 | 7.67% | (8.07)% | (0.09)% |
5 | Africa | SO | Somalia | 16 239 481 | 7.23% | (7.82)% | (0.09)% |
6 | Asia | AF | Afghanistan | 39 614 554 | 6.13% | (6.84)% | (0.02)% |
7 | Africa | ZA | South Africa | 59 896 382 | 4.09% | 6.23% | 0.21% |
8 | Africa | EG | Egypt | 103 847 468 | 6.36% | (6.02)% | (0.08)% |
9 | Africa | ZW | Zimbabwe | 15 032 836 | 4.76% | (5.88)% | (0.02)% |
10 | Europe | SK | Slovakia | 5 461 730 | 3.90% | 5.61% | 2.36% |
11 | Europe | BA | Bosnia and Herzegovina | 3 264 674 | 5.02% | 4.88% | 5.06% |
12 | Europe | RU | Russia | 145 983 862 | 2.71% | 4.20% | 0.73% |
13 | Africa | GW | Guinea-Bissau | 2 004 390 | 1.80% | (4.06)% | (0.05)% |
14 | Africa | TN | Tunisia | 11 915 894 | 3.47% | 3.98% | 1.23% |
15 | South America | BR | Brazil | 213 749 436 | 2.75% | 3.87% | 4.04% |
16 | Africa | MW | Malawi | 19 516 315 | 3.42% | (3.80)% | (0.02)% |
17 | Africa | NE | Niger | 24 888 432 | 3.54% | (3.59)% | (0.00)% |
18 | Europe | BG | Bulgaria | 6 907 046 | 4.48% | 3.38% | 5.51% |
19 | Europe | HU | Hungary | 9 640 967 | 3.91% | 3.26% | 8.70% |
20 | Africa | LS | Lesotho | 2 155 620 | 3.17% | (3.26)% | (0.03)% |
21 | Europe | MK | North Macedonia | 2 083 306 | 3.14% | 3.25% | 5.97% |
22 | Africa | TD | Chad | 16 793 808 | 2.29% | (3.23)% | (0.01)% |
23 | Africa | MG | Madagascar | 28 247 452 | 2.98% | 3.18% | 0.13% |
24 | Africa | SN | Senegal | 17 088 723 | 3.25% | (3.17)% | (0.06)% |
25 | Africa | CF | Central African R. | 4 895 636 | 2.32% | (2.89)% | (0.04)% |
26 | North America | HN | Honduras | 10 028 249 | 2.35% | 2.86% | 0.74% |
27 | South America | PE | Peru | 33 332 642 | 3.01% | 2.85% | 3.05% |
28 | Africa | BW | Botswana | 2 388 828 | 2.13% | 2.81% | 1.67% |
29 | South America | CO | Colombia | 51 309 459 | 2.51% | 2.80% | 2.19% |
30 | North America | SV | El Salvador | 6 512 000 | 3.43% | 2.78% | 0.26% |
31 | Africa | DZ | Algeria | 44 471 990 | 1.83% | (2.77)% | (0.03)% |
32 | Asia | ID | Indonesia | 275 798 600 | 2.48% | 2.70% | 0.23% |
33 | South America | PY | Paraguay | 7 201 405 | 2.22% | 2.67% | 3.39% |
34 | South America | EC | Ecuador | 17 853 392 | 2.51% | 2.64% | 1.18% |
35 | North America | NI | Nicaragua | 6 686 515 | 2.59% | (2.63)% | (0.01)% |
36 | South America | BO | Bolivia | 11 798 112 | 2.69% | 2.61% | 0.85% |
37 | Europe | RO | Romania | 19 136 146 | 2.59% | 2.60% | 3.17% |
38 | Europe | GR | Greece | 10 382 792 | 3.19% | 2.59% | 3.24% |
39 | Africa | NA | Namibia | 2 576 989 | 1.46% | 2.59% | 0.73% |
40 | Europe | MD | Moldova | 4 026 555 | 2.41% | 2.56% | 3.69% |
41 | Europe | UA | Ukraine | 43 525 906 | 2.39% | 2.48% | 3.97% |
42 | Africa | ML | Mali | 20 706 145 | 3.65% | (2.40)% | (0.07)% |
43 | North America | GT | Guatemala | 18 175 404 | 3.54% | 2.40% | 0.50% |
44 | Asia | AM | Armenia | 2 967 613 | 2.22% | 2.16% | 3.63% |
45 | Africa | GM | Gambia | 2 469 682 | 2.63% | 2.11% | 0.11% |
46 | Europe | IT | Italy | 60 391 595 | 2.54% | 2.10% | 3.76% |
47 | Asia | PK | Pakistan | 224 253 902 | 2.45% | 2.02% | 0.23% |
48 | Europe | CZ | Czechia | 10 724 658 | 1.81% | 1.97% | 6.34% |
49 | Europe | AL | Albania | 2 875 315 | 1.57% | 1.94% | 1.48% |
50 | Europe | HR | Croatia | 4 085 238 | 2.80% | 1.93% | 4.80% |
51 | Europe | PL | Poland | 37 813 871 | 2.56% | 1.88% | 7.44% |
52 | Asia | KG | Kyrgyzstan | 6 608 658 | 1.66% | 1.86% | 0.26% |
53 | Asia | GE | Georgia | 3 983 117 | 1.81% | 1.85% | 1.73% |
54 | Africa | LY | Libya | 6 944 698 | 2.00% | 1.83% | 1.35% |
55 | Africa | CM | Cameroon | 27 062 544 | 1.46% | 1.80% | 0.34% |
56 | Asia | AZ | Azerbaijan | 10 211 103 | 1.63% | 1.78% | 2.06% |
57 | Africa | AO | Angola | 33 663 530 | 2.44% | 1.76% | 0.03% |
58 | Europe | IE | Ireland | 4 981 160 | 1.63% | 1.70% | 1.18% |
59 | Asia | JP | Japan | 126 170 451 | 2.08% | 1.68% | 0.21% |
60 | South America | AR | Argentina | 45 522 155 | 1.77% | 1.64% | 3.53% |
61 | South America | CL | Chile | 19 245 367 | 1.81% | 1.59% | 4.18% |
62 | North America | US | USA | 332 532 050 | 1.65% | 1.58% | 2.28% |
63 | Europe | PT | Portugal | 10 173 212 | 2.25% | 1.58% | 0.57% |
64 | South America | UY | Uruguay | 3 483 224 | 1.32% | 1.54% | 9.30% |
65 | Asia | LB | Lebanon | 6 801 277 | 1.60% | 1.52% | 4.79% |
66 | Africa | KE | Kenya | 54 698 558 | 1.54% | 1.49% | 0.25% |
67 | Europe | LT | Lithuania | 2 692 167 | 1.84% | 1.48% | 3.66% |
68 | Africa | GH | Ghana | 31 580 972 | 1.14% | 1.46% | 0.04% |
69 | Asia | KH | Cambodia | 16 900 725 | 1.14% | 1.45% | 0.09% |
70 | North America | PA | Panama | 4 368 082 | 1.57% | 1.45% | 1.03% |
71 | North America | JM | Jamaica | 2 971 357 | 1.39% | 1.44% | 1.53% |
72 | South America | VE | Venezuela | 28 372 266 | 1.34% | 1.42% | 0.45% |
73 | Asia | IR | Iran | 84 837 813 | 1.37% | 1.42% | 1.91% |
74 | Africa | MA | Morocco | 37 254 502 | 1.94% | 1.41% | 0.16% |
75 | North America | CR | Costa Rica | 5 130 727 | 1.52% | 1.40% | 1.28% |
76 | Africa | BF | Burkina Faso | 21 350 969 | 0.86% | 1.39% | 0.01% |
77 | Asia | SA | Saudi Arabia | 35 239 473 | 1.94% | 1.39% | 0.22% |
78 | North America | DO | Dominican R. | 10 933 492 | 0.98% | 1.37% | 0.47% |
79 | Africa | RW | Rwanda | 13 203 279 | 1.56% | 1.33% | 0.11% |
80 | Europe | DE | Germany | 83 995 236 | 3.24% | 1.33% | 2.43% |
81 | Asia | TW | Taiwan | 23 850 790 | 1.21% | 1.32% | 0.00% |
82 | Asia | BD | Bangladesh | 165 980 237 | 1.61% | 1.30% | 0.35% |
83 | Africa | ET | Ethiopia | 117 190 341 | 1.35% | 1.29% | 0.20% |
84 | Africa | BJ | Benin | 12 371 351 | 1.18% | 1.27% | 0.04% |
85 | Africa | MR | Mauritania | 4 745 164 | 2.73% | 1.27% | 0.05% |
86 | Africa | CD | DR Congo | 91 685 378 | 2.60% | 1.24% | 0.01% |
87 | Asia | NP | Nepal | 29 547 776 | 3.82% | 1.23% | 0.09% |
88 | Asia | PH | Philippines | 110 727 033 | 1.76% | 1.20% | 0.98% |
89 | Asia | JO | Jordan | 10 282 825 | 1.13% | 1.20% | 7.15% |
90 | South America | PR | Puerto Rico | 3 193 694 | 1.70% | 1.12% | 1.80% |
91 | Africa | MZ | Mozambique | 31 939 216 | 1.25% | 1.11% | 0.05% |
92 | Europe | GB | United Kingdom | 68 167 060 | 2.40% | 1.11% | 0.66% |
93 | Europe | ES | Spain | 46 769 075 | 1.60% | 1.03% | 1.61% |
94 | Asia | KZ | Kazakhstan | 18 953 268 | 1.02% | 0.99% | 1.13% |
95 | Africa | NG | Nigeria | 210 134 738 | 0.93% | 0.99% | 0.01% |
96 | Asia | IL | Israel | 9 197 590 | 0.68% | 0.98% | 0.62% |
97 | Europe | AT | Austria | 9 046 892 | 1.86% | 0.94% | 3.89% |
98 | Africa | ZM | Zambia | 18 785 992 | 1.21% | 0.94% | 0.11% |
99 | Africa | GN | Guinea | 13 411 064 | 0.80% | 0.93% | 0.10% |
100 | Asia | LK | Sri Lanka | 21 484 036 | 0.70% | 0.93% | 0.14% |
101 | Australia/Oceania | PG | Papua New Guinea | 9 079 879 | 1.03% | 0.91% | 0.30% |
102 | North America | HT | Haiti | 11 511 792 | 0.53% | 0.90% | 0.01% |
103 | Asia | OM | Oman | 5 208 154 | 0.80% | 0.89% | 2.20% |
104 | Europe | FR | France | 65 387 466 | 1.57% | 0.88% | 6.55% |
105 | Europe | BY | Belarus | 9 446 869 | 0.61% | 0.82% | 1.52% |
106 | Europe | BE | Belgium | 11 629 388 | 1.61% | 0.80% | 4.07% |
107 | Europe | RS | Serbia | 8 709 547 | 0.87% | 0.79% | 5.91% |
108 | Asia | IN | India | 1 390 679 153 | 0.87% | 0.78% | 0.76% |
109 | Asia | KR | South Korea | 51 304 013 | 1.70% | 0.72% | 0.12% |
110 | Africa | UG | Uganda | 46 867 258 | 0.71% | 0.70% | 0.01% |
111 | North America | CA | Canada | 38 002 618 | 1.63% | 0.69% | 1.84% |
112 | Africa | SS | South Sudan | 11 296 903 | 0.73% | 0.69% | 0.03% |
113 | Africa | ER | Eritrea | 3 584 978 | 0.36% | 0.67% | 0.05% |
114 | Africa | CG | Congo | 5 624 301 | 0.92% | 0.66% | 0.05% |
115 | Africa | GA | Gabon | 2 266 822 | 0.60% | 0.66% | 0.71% |
116 | Europe | SI | Slovenia | 2 079 164 | 1.49% | 0.64% | 5.48% |
117 | Asia | IQ | Iraq | 40 928 986 | 0.67% | 0.63% | 1.84% |
118 | Africa | TG | Togo | 8 430 534 | 0.61% | 0.61% | 0.20% |
119 | Asia | TR | Turkey | 85 052 838 | 0.91% | 0.61% | 5.53% |
120 | Asia | KW | Kuwait | 4 320 165 | 0.53% | 0.61% | 3.79% |
121 | Asia | MM | Myanmar | 54 697 119 | 2.17% | 0.60% | 0.00% |
122 | Africa | CI | Ivory Coast | 26 889 052 | 0.59% | 0.59% | 0.11% |
123 | Europe | CH | Switzerland | 8 704 466 | 1.46% | 0.47% | 2.41% |
124 | Europe | FI | Finland | 5 547 512 | 0.78% | 0.47% | 1.12% |
125 | Asia | QA | Qatar | 2 807 805 | 0.25% | 0.46% | 3.24% |
126 | North America | CU | Cuba | 11 321 156 | 0.48% | 0.44% | 0.97% |
127 | Africa | BI | Burundi | 12 167 109 | 0.22% | 0.44% | 0.03% |
128 | Europe | NL | Netherlands | 17 164 784 | 0.88% | 0.38% | 4.92% |
129 | Asia | MY | Malaysia | 32 691 886 | 0.33% | 0.35% | 0.52% |
130 | Asia | MN | Mongolia | 3 319 723 | 0.29% | 0.33% | 1.77% |
131 | Australia/Oceania | AU | Australia | 25 732 506 | 0.14% | 0.31% | 0.01% |
132 | Asia | UZ | Uzbekistan | 33 850 137 | 0.23% | 0.31% | 0.06% |
133 | Europe | SE | Sweden | 10 148 878 | 0.99% | 0.27% | 6.31% |
134 | Europe | DK | Denmark | 5 808 288 | 1.10% | 0.26% | 1.43% |
135 | Europe | NO | Norway | 5 454 619 | 0.49% | 0.26% | 1.81% |
136 | Asia | AE | Arab Emirates | 9 984 338 | 0.31% | 0.22% | 2.45% |
137 | Asia | TH | Thailand | 69 938 149 | 0.14% | 0.21% | 0.07% |
138 | Asia | SG | Singapore | 5 886 569 | 0.04% | 0.00% | 0.04% |
139 | Australia/Oceania | NZ | New Zealand | 5 002 100 | 0.21% | 0.00% | 0.01% |
140 | Africa | SL | Sierra Leone | 8 104 071 | 0.26% | 0.00% | 0.00% |
141 | Africa | LR | Liberia | 5 150 686 | 0.51% | 0.00% | 0.00% |
142 | Asia | VN | Vietnam | 98 027 872 | 0.00% | 0.00% | 0.00% |
143 | Asia | LA | Laos | 7 358 471 | 0.00% | 0.00% | 0.00% |
144 | Asia | PS | Palestine | 5 194 206 | 0.00% | 0.00% | 0.13% |
145 | Asia | HK | Hong Kong | 7 544 866 | 0.00% | 0.00% | 0.00% |
146 | Asia | KP | North Korea | 25 660 000 | 0.00% | 0.00% | 0.00% |
147 | Africa | TZ | Tanzania | 61 062 542 | 0.00% | 0.00% | 0.00% |
148 | Europe | TM | Turkmenistan | 6 118 000 | 0.00% | 0.00% | 0.00% |
149 | Asia | TJ | Tajikistan | 9 705 323 | 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 | Europe | CZ | Czechia | 10 724 658 | 28 267 | 2.636‰ |
2 | Europe | HU | Hungary | 9 640 967 | 24 762 | 2.568‰ |
3 | Europe | BA | Bosnia and Herzegovina | 3 264 674 | 7 702 | 2.359‰ |
4 | Europe | BG | Bulgaria | 6 907 046 | 14 979 | 2.169‰ |
5 | Europe | SI | Slovenia | 2 079 164 | 4 421 | 2.126‰ |
6 | Europe | MK | North Macedonia | 2 083 306 | 4 357 | 2.091‰ |
7 | Europe | BE | Belgium | 11 629 388 | 23 636 | 2.032‰ |
8 | Europe | SK | Slovakia | 5 461 730 | 10 970 | 2.009‰ |
9 | Europe | IT | Italy | 60 391 595 | 115 937 | 1.920‰ |
10 | Europe | GB | United Kingdom | 68 167 060 | 127 191 | 1.866‰ |
11 | South America | BR | Brazil | 213 749 436 | 362 199 | 1.694‰ |
12 | North America | US | USA | 332 532 050 | 559 133 | 1.681‰ |
13 | South America | PE | Peru | 33 332 642 | 55 826 | 1.675‰ |
14 | Europe | PT | Portugal | 10 173 212 | 16 933 | 1.665‰ |
15 | Europe | ES | Spain | 46 769 075 | 76 882 | 1.644‰ |
16 | North America | MX | Mexico | 129 998 266 | 210 695 | 1.621‰ |
17 | Europe | PL | Poland | 37 813 871 | 61 207 | 1.619‰ |
18 | Europe | HR | Croatia | 4 085 238 | 6 442 | 1.577‰ |
19 | Europe | FR | France | 65 387 466 | 99 441 | 1.521‰ |
20 | North America | PA | Panama | 4 368 082 | 6 179 | 1.415‰ |
21 | Europe | LT | Lithuania | 2 692 167 | 3 737 | 1.388‰ |
22 | Europe | MD | Moldova | 4 026 555 | 5 493 | 1.364‰ |
23 | Europe | SE | Sweden | 10 148 878 | 13 756 | 1.355‰ |
24 | Europe | RO | Romania | 19 136 146 | 25 800 | 1.348‰ |
25 | South America | CO | Colombia | 51 309 459 | 66 862 | 1.303‰ |
26 | Asia | AM | Armenia | 2 967 613 | 3 835 | 1.292‰ |
27 | South America | CL | Chile | 19 245 367 | 24 766 | 1.287‰ |
28 | South America | AR | Argentina | 45 522 155 | 58 557 | 1.286‰ |
29 | Europe | CH | Switzerland | 8 704 466 | 9 800 | 1.126‰ |
30 | South America | BO | Bolivia | 11 798 112 | 12 580 | 1.066‰ |
31 | Europe | AT | Austria | 9 046 892 | 9 560 | 1.057‰ |
32 | Asia | LB | Lebanon | 6 801 277 | 6 809 | 1.001‰ |
33 | Asia | GE | Georgia | 3 983 117 | 3 916 | 0.983‰ |
34 | Europe | NL | Netherlands | 17 164 784 | 16 862 | 0.982‰ |
35 | South America | EC | Ecuador | 17 853 392 | 17 489 | 0.980‰ |
36 | Europe | IE | Ireland | 4 981 160 | 4 820 | 0.968‰ |
37 | Europe | DE | Germany | 83 995 236 | 79 709 | 0.949‰ |
38 | Europe | UA | Ukraine | 43 525 906 | 39 096 | 0.898‰ |
39 | Africa | ZA | South Africa | 59 896 382 | 53 571 | 0.894‰ |
40 | Europe | GR | Greece | 10 382 792 | 9 239 | 0.890‰ |
41 | Europe | AL | Albania | 2 875 315 | 2 335 | 0.812‰ |
42 | Africa | TN | Tunisia | 11 915 894 | 9 553 | 0.802‰ |
43 | Asia | JO | Jordan | 10 282 825 | 8 057 | 0.783‰ |
44 | Asia | IR | Iran | 84 837 813 | 65 680 | 0.774‰ |
45 | Europe | RU | Russia | 145 983 862 | 104 795 | 0.718‰ |
46 | South America | PY | Paraguay | 7 201 405 | 5 048 | 0.701‰ |
47 | Asia | IL | Israel | 9 197 590 | 6 315 | 0.687‰ |
48 | South America | PR | Puerto Rico | 3 193 694 | 2 174 | 0.681‰ |
49 | Europe | RS | Serbia | 8 709 547 | 5 881 | 0.675‰ |
50 | North America | CA | Canada | 38 002 618 | 23 447 | 0.617‰ |
51 | North America | CR | Costa Rica | 5 130 727 | 3 055 | 0.595‰ |
52 | North America | HN | Honduras | 10 028 249 | 4 897 | 0.488‰ |
53 | South America | UY | Uruguay | 3 483 224 | 1 674 | 0.481‰ |
54 | Europe | DK | Denmark | 5 808 288 | 2 449 | 0.422‰ |
55 | Africa | LY | Libya | 6 944 698 | 2 873 | 0.414‰ |
56 | Asia | TR | Turkey | 85 052 838 | 35 031 | 0.412‰ |
57 | Asia | AZ | Azerbaijan | 10 211 103 | 4 045 | 0.396‰ |
58 | North America | GT | Guatemala | 18 175 404 | 7 088 | 0.390‰ |
59 | Asia | IQ | Iraq | 40 928 986 | 14 885 | 0.364‰ |
60 | Asia | OM | Oman | 5 208 154 | 1 821 | 0.350‰ |
61 | Asia | KW | Kuwait | 4 320 165 | 1 428 | 0.331‰ |
62 | North America | SV | El Salvador | 6 512 000 | 2 068 | 0.318‰ |
63 | North America | DO | Dominican R. | 10 933 492 | 3 405 | 0.311‰ |
64 | Africa | BW | Botswana | 2 388 828 | 671 | 0.281‰ |
65 | Europe | BY | Belarus | 9 446 869 | 2 393 | 0.253‰ |
66 | Africa | MA | Morocco | 37 254 502 | 8 927 | 0.240‰ |
67 | North America | JM | Jamaica | 2 971 357 | 697 | 0.235‰ |
68 | Asia | KG | Kyrgyzstan | 6 608 658 | 1 544 | 0.234‰ |
69 | Africa | NA | Namibia | 2 576 989 | 596 | 0.231‰ |
70 | Asia | KZ | Kazakhstan | 18 953 268 | 3 963 | 0.209‰ |
71 | Asia | SA | Saudi Arabia | 35 239 473 | 6 791 | 0.193‰ |
72 | Europe | FI | Finland | 5 547 512 | 881 | 0.159‰ |
73 | Asia | ID | Indonesia | 275 798 600 | 43 073 | 0.156‰ |
74 | Asia | AE | Arab Emirates | 9 984 338 | 1 545 | 0.155‰ |
75 | Africa | LS | Lesotho | 2 155 620 | 315 | 0.146‰ |
76 | Asia | PH | Philippines | 110 727 033 | 15 592 | 0.141‰ |
77 | Europe | NO | Norway | 5 454 619 | 707 | 0.130‰ |
78 | Asia | QA | Qatar | 2 807 805 | 357 | 0.127‰ |
79 | Asia | IN | India | 1 390 679 153 | 173 123 | 0.125‰ |
80 | Africa | EG | Egypt | 103 847 468 | 12 611 | 0.121‰ |
81 | Asia | NP | Nepal | 29 547 776 | 3 066 | 0.104‰ |
82 | Africa | ZW | Zimbabwe | 15 032 836 | 1 550 | 0.103‰ |
83 | Africa | MR | Mauritania | 4 745 164 | 452 | 0.095‰ |
84 | Asia | SY | Syria | 17 833 162 | 1 414 | 0.079‰ |
85 | Asia | JP | Japan | 126 170 451 | 9 500 | 0.075‰ |
86 | Africa | DZ | Algeria | 44 471 990 | 3 144 | 0.071‰ |
87 | Asia | PK | Pakistan | 224 253 902 | 15 864 | 0.071‰ |
88 | Africa | GM | Gambia | 2 469 682 | 170 | 0.069‰ |
89 | Africa | ZM | Zambia | 18 785 992 | 1 230 | 0.066‰ |
90 | South America | VE | Venezuela | 28 372 266 | 1 834 | 0.065‰ |
91 | Asia | AF | Afghanistan | 39 614 554 | 2 537 | 0.064‰ |
92 | Africa | SN | Senegal | 17 088 723 | 1 085 | 0.064‰ |
93 | Asia | BD | Bangladesh | 165 980 237 | 10 081 | 0.061‰ |
94 | Asia | MM | Myanmar | 54 697 119 | 3 206 | 0.059‰ |
95 | Africa | MW | Malawi | 19 516 315 | 1 134 | 0.058‰ |
96 | Africa | GA | Gabon | 2 266 822 | 129 | 0.057‰ |
97 | Africa | SD | Sudan | 44 650 323 | 2 194 | 0.049‰ |
98 | Africa | KE | Kenya | 54 698 558 | 2 424 | 0.044‰ |
99 | North America | CU | Cuba | 11 321 156 | 491 | 0.043‰ |
100 | Asia | MY | Malaysia | 32 691 886 | 1 355 | 0.041‰ |
101 | Africa | SO | Somalia | 16 239 481 | 656 | 0.040‰ |
102 | Asia | YE | Yemen | 30 340 231 | 1 098 | 0.036‰ |
103 | Australia/Oceania | AU | Australia | 25 732 506 | 910 | 0.035‰ |
104 | Asia | KR | South Korea | 51 304 013 | 1 790 | 0.035‰ |
105 | Africa | CM | Cameroon | 27 062 544 | 919 | 0.034‰ |
106 | Africa | GW | Guinea-Bissau | 2 004 390 | 66 | 0.033‰ |
107 | Asia | LK | Sri Lanka | 21 484 036 | 608 | 0.028‰ |
108 | Africa | ET | Ethiopia | 117 190 341 | 3 287 | 0.028‰ |
109 | North America | NI | Nicaragua | 6 686 515 | 180 | 0.027‰ |
110 | Africa | MZ | Mozambique | 31 939 216 | 794 | 0.025‰ |
111 | Africa | CG | Congo | 5 624 301 | 137 | 0.024‰ |
112 | Africa | GH | Ghana | 31 580 972 | 766 | 0.024‰ |
113 | Africa | RW | Rwanda | 13 203 279 | 321 | 0.024‰ |
114 | North America | HT | Haiti | 11 511 792 | 252 | 0.022‰ |
115 | Africa | ML | Mali | 20 706 145 | 421 | 0.020‰ |
116 | Asia | UZ | Uzbekistan | 33 850 137 | 635 | 0.019‰ |
117 | Africa | MG | Madagascar | 28 247 452 | 527 | 0.019‰ |
118 | Africa | AO | Angola | 33 663 530 | 557 | 0.017‰ |
119 | Africa | LR | Liberia | 5 150 686 | 85 | 0.017‰ |
120 | Africa | CF | Central African R. | 4 895 636 | 74 | 0.015‰ |
121 | Africa | TG | Togo | 8 430 534 | 117 | 0.014‰ |
122 | Asia | MN | Mongolia | 3 319 723 | 35 | 0.011‰ |
123 | Africa | GN | Guinea | 13 411 064 | 138 | 0.010‰ |
124 | Africa | SS | South Sudan | 11 296 903 | 114 | 0.010‰ |
125 | Africa | CI | Ivory Coast | 26 889 052 | 271 | 0.010‰ |
126 | Africa | TD | Chad | 16 793 808 | 168 | 0.010‰ |
127 | Africa | NG | Nigeria | 210 134 738 | 2 061 | 0.010‰ |
128 | Africa | SL | Sierra Leone | 8 104 071 | 79 | 0.010‰ |
129 | Asia | TJ | Tajikistan | 9 705 323 | 90 | 0.009‰ |
130 | Australia/Oceania | PG | Papua New Guinea | 9 079 879 | 82 | 0.009‰ |
131 | Africa | CD | DR Congo | 91 685 378 | 745 | 0.008‰ |
132 | Africa | BJ | Benin | 12 371 351 | 96 | 0.008‰ |
133 | Africa | NE | Niger | 24 888 432 | 190 | 0.008‰ |
134 | Africa | BF | Burkina Faso | 21 350 969 | 154 | 0.007‰ |
135 | Africa | UG | Uganda | 46 867 258 | 338 | 0.007‰ |
136 | Australia/Oceania | NZ | New Zealand | 5 002 100 | 26 | 0.005‰ |
137 | Asia | SG | Singapore | 5 886 569 | 30 | 0.005‰ |
138 | Africa | ER | Eritrea | 3 584 978 | 10 | 0.003‰ |
139 | Asia | PS | Palestine | 5 194 206 | 14 | 0.003‰ |
140 | Asia | KH | Cambodia | 16 900 725 | 37 | 0.002‰ |
141 | Asia | TH | Thailand | 69 938 149 | 97 | 0.001‰ |
142 | Africa | BI | Burundi | 12 167 109 | 6 | 0.001‰ |
143 | Asia | TW | Taiwan | 23 850 790 | 11 | 0.001‰ |
144 | Asia | VN | Vietnam | 98 027 872 | 35 | 0.000‰ |
145 | Africa | TZ | Tanzania | 61 062 542 | 21 | 0.000‰ |
146 | Asia | CN | China | 1 439 323 776 | 0 | 0.000‰ |
147 | Asia | KP | North Korea | 25 660 000 | 0 | 0.000‰ |
148 | Europe | TM | Turkmenistan | 6 118 000 | 0 | 0.000‰ |
149 | Asia | LA | Laos | 7 358 471 | 0 | 0.000‰ |
150 | Asia | HK | Hong Kong | 7 544 866 | 0 | 0.000‰ |
Elhalálozási adatok hozzávetőleges értékei 2018: Abortusz: 56 millió, Rákbetegség: 9,6 millió.
COVID-19, 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)
* Cistus creticus (Cystus pandalis): [4],
[5]
nálunk, mint ViroStop ismert, torokspray (de van orrspay 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]
* 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]
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
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"