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": 2022-09-27 21:02
(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 | +10 654 (+5 994) | +10 (+1) |
CZ | Czechia | +4 735 (+281) | +0 (+11) |
DE | Germany | +0 (+89 282) | +0 (+118) |
HU | Hungary | +0 (+0) | +0 (+0) |
PL | Poland | +6 484 (+729) | +25 (+0) |
SK | Slovakia, [gov], [okr] | +442 (+78) | +3 (+2) |
COVID-19, New Cases in Regions (incidence rate)
N. | Region | Population | Last 120 days | Last 30 days | Last 7 days |
---|---|---|---|---|---|
1 | Europe | 756 641 771 | 3.53% | 1.48% | 0.59% |
2 | North America | 598 699 588 | 2.25% | 0.88% | 0.18% |
3 | Asia | 4 709 849 202 | 0.64% | 0.46% | 0.17% |
4 | Australia/Oceania | 43 935 166 | 8.14% | 1.60% | 0.17% |
5 | South America | 441 939 772 | 1.50% | 0.41% | 0.12% |
6 | Africa | 1 411 600 485 | 0.04% | 0.01% | 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 | South America | 441 939 772 | 0.43% | 0.88% | 0.41% |
2 | North America | 598 699 588 | 0.37% | 0.61% | 0.88% |
3 | Australia/Oceania | 43 935 166 | 0.21% | 0.59% | 1.60% |
4 | Africa | 1 411 600 485 | 0.49% | (0.58)% | (0.01)% |
5 | Europe | 756 641 771 | 0.25% | 0.40% | 1.48% |
6 | Asia | 4 709 849 202 | 0.14% | 0.22% | 0.46% |
COVID-19, Total Mortality from population of Regions
N. | Region | Population | Deaths | 1000*Deaths/Pop. |
---|---|---|---|---|
1 | South America | 441 939 772 | 1 332 413 | 3.015‰ |
2 | Europe | 756 641 771 | 1 911 725 | 2.527‰ |
3 | North America | 598 699 588 | 1 492 614 | 2.493‰ |
4 | Australia/Oceania | 43 935 166 | 20 620 | 0.469‰ |
5 | Asia | 4 709 849 202 | 1 469 688 | 0.312‰ |
6 | Africa | 1 411 600 485 | 257 667 | 0.182‰ |
COVID-19, New Cases in Countries
All Countries, [Filter: Population more then 2 million] | Compare with [CASES]N. | Region | CD | Country | Population | Last 120 days | Last 30 days | Last 7 days |
---|---|---|---|---|---|---|---|
1 | North America | MS | Montserrat | 4 999 | 10.58% | 14.32% | 29.49% |
2 | Asia | TW | Taiwan | 23 912 908 | 18.28% | 18.45% | 20.15% |
3 | North America | MQ | Martinique | 374 616 | 16.61% | 6.02% | 18.06% |
4 | Australia/Oceania | FM | Micronesia | 117 713 | 8.03% | 8.77% | 10.00% |
5 | Africa | RE | Réunion | 909 565 | 6.67% | 9.89% | 8.78% |
6 | Asia | HK | Hong Kong | 7 632 666 | 7.09% | 12.54% | 7.60% |
7 | Asia | GE | Georgia | 3 972 095 | 2.67% | 5.18% | 5.52% |
8 | South America | PR | Puerto Rico | 3 193 694 | 10.55% | 6.70% | 5.06% |
9 | North America | KY | Cayman Islands | 67 444 | 10.09% | 4.31% | 4.22% |
10 | Europe | SI | Slovenia | 2 079 575 | 5.89% | 4.82% | 3.18% |
11 | Australia/Oceania | NU | Niue | 1 651 | 4.12% | 4.12% | 3.11% |
12 | Australia/Oceania | GU | Guam | 172 400 | 4.52% | 3.01% | 2.79% |
13 | North America | CR | Costa Rica | 5 197 894 | 4.61% | 2.82% | 2.69% |
14 | Asia | CY | Cyprus | 1 226 965 | 7.65% | 2.58% | 2.61% |
15 | Australia/Oceania | PW | Palau | 18 286 | 3.01% | 4.02% | 2.53% |
16 | Europe | AT | Austria | 9 121 024 | 8.07% | 3.36% | 2.00% |
17 | Europe | LU | Luxembourg | 648 702 | 6.67% | 1.92% | 2.00% |
18 | North America | AW | Aruba | 107 777 | 7.08% | 1.83% | 1.94% |
19 | Europe | AD | Andorra | 77 541 | 5.10% | 1.10% | 1.90% |
20 | Europe | HU | Hungary | 9 605 664 | 1.55% | 2.23% | 1.84% |
21 | Europe | DE | Germany | 84 381 438 | 7.45% | 2.51% | 1.81% |
22 | North America | TT | Tobago | 1 409 595 | 1.87% | 1.92% | 1.74% |
23 | Europe | JE | Jersey | 107 800 | 8.29% | 2.47% | 1.69% |
24 | Europe | EE | Estonia | 1 328 524 | 1.61% | 0.96% | 1.53% |
25 | Australia/Oceania | MH | Marshall Islands | 60 081 | 25.32% | 2.87% | 1.46% |
26 | Europe | LT | Lithuania | 2 637 684 | 2.90% | 2.35% | 1.41% |
27 | North America | AG | Antigua and Barbuda | 99 738 | 0.94% | 0.43% | 1.39% |
28 | Africa | MU | Mauritius | 1 276 474 | 2.84% | 2.22% | 1.36% |
29 | Asia | KR | South Korea | 51 367 577 | 11.78% | 8.99% | 1.31% |
30 | Europe | IT | Italy | 60 263 602 | 7.82% | 2.06% | 1.28% |
31 | Europe | SM | San Marino | 34 090 | 10.08% | 2.53% | 1.26% |
32 | Europe | BE | Belgium | 11 702 123 | 3.22% | 1.52% | 1.22% |
33 | Europe | LI | Liechtenstein | 38 372 | 4.80% | 1.80% | 1.16% |
34 | Europe | LV | Latvia | 1 839 738 | 4.44% | 2.84% | 1.15% |
35 | Europe | GG | Guernsey | 174 853 | 3.30% | 1.18% | 1.14% |
36 | Asia | IL | Israel | 9 326 000 | 5.59% | 1.21% | 1.10% |
37 | North America | PA | Panama | 4 466 324 | 3.98% | 1.56% | 0.93% |
38 | North America | GD | Grenada | 113 686 | 2.54% | 1.79% | 0.86% |
39 | Asia | AM | Armenia | 2 975 594 | 0.60% | 1.14% | 0.82% |
40 | North America | CA | Canada | 38 480 391 | 0.97% | 0.91% | 0.82% |
41 | South America | UY | Uruguay | 3 500 580 | 2.14% | 0.87% | 0.81% |
42 | North America | VG | British Virgin Islands | 30 680 | 2.39% | 2.27% | 0.78% |
43 | Europe | MC | Monaco | 39 863 | 5.77% | 1.02% | 0.77% |
44 | Europe | CZ | Czechia | 10 753 287 | 1.37% | 1.18% | 0.75% |
45 | Asia | JP | Japan | 125 613 305 | 9.12% | 6.66% | 0.69% |
46 | Australia/Oceania | CK | Cook Islands | 17 600 | 5.52% | 4.02% | 0.68% |
47 | Asia | JO | Jordan | 10 429 112 | 0.44% | 0.82% | 0.56% |
48 | South America | GF | French Guiana | 315 959 | 3.81% | 0.71% | 0.55% |
49 | Europe | CH | Switzerland | 8 795 811 | 4.39% | 0.92% | 0.55% |
50 | Europe | RS | Serbia | 8 658 917 | 3.52% | 2.40% | 0.54% |
51 | North America | BZ | Belize | 413 735 | 2.56% | 0.82% | 0.51% |
52 | Australia/Oceania | NZ | New Zealand | 5 002 100 | 11.95% | 2.27% | 0.48% |
53 | Asia | SG | Singapore | 5 952 983 | 9.53% | 2.13% | 0.46% |
54 | Asia | TR | Turkey | 86 363 808 | 2.08% | 1.50% | 0.45% |
55 | Europe | RU | Russia | 146 073 999 | 1.28% | 2.16% | 0.43% |
56 | Asia | BH | Bahrain | 1 833 599 | 4.92% | 0.85% | 0.42% |
57 | Europe | SE | Sweden | 10 239 736 | 0.66% | 0.74% | 0.40% |
58 | Asia | QA | Qatar | 2 807 805 | 2.46% | 1.49% | 0.40% |
59 | Africa | YT | Mayotte | 287 505 | 0.92% | 0.64% | 0.39% |
60 | North America | KN | Saint Kitts and Nevis | 54 038 | 1.72% | 0.30% | 0.38% |
61 | Asia | BT | Bhutan | 790 564 | 0.23% | 0.32% | 0.32% |
62 | Europe | DK | Denmark | 5 837 695 | 2.52% | 0.93% | 0.32% |
63 | Europe | PL | Poland | 37 754 189 | 0.58% | 0.64% | 0.29% |
64 | South America | AR | Argentina | 46 120 998 | 1.22% | 0.56% | 0.29% |
65 | Europe | BG | Bulgaria | 6 831 877 | 1.25% | 0.61% | 0.28% |
66 | Europe | NL | Netherlands | 17 219 424 | 1.84% | 0.40% | 0.26% |
67 | Europe | IE | Ireland | 5 060 845 | 2.14% | 0.54% | 0.26% |
68 | Europe | ME | Montenegro | 628 243 | 6.43% | 1.77% | 0.25% |
69 | North America | VC | Saint Vincent | 111 726 | 0.82% | 0.15% | 0.25% |
70 | South America | MP | Northern Mariana Islands | 56 200 | 3.29% | 1.47% | 0.24% |
71 | Europe | GB | United Kingdom | 68 681 433 | 1.97% | 0.64% | 0.24% |
72 | Australia/Oceania | PF | French Polynesia | 284 530 | 1.31% | 0.51% | 0.24% |
73 | Europe | HR | Croatia | 4 048 842 | 2.09% | 0.95% | 0.22% |
74 | Europe | FI | Finland | 5 559 915 | 3.46% | 1.86% | 0.22% |
75 | Europe | IS | Iceland | 346 183 | 5.37% | 1.66% | 0.20% |
76 | Europe | FR | France | 65 595 624 | 7.59% | 0.78% | 0.20% |
77 | South America | GY | Guyana | 795 018 | 0.92% | 0.40% | 0.20% |
78 | Australia/Oceania | VU | Vanuatu | 323 162 | 1.06% | 0.20% | 0.19% |
79 | Australia/Oceania | NC | New Caledonia | 291 621 | 4.17% | 0.72% | 0.18% |
80 | Europe | XK | Kosovo | 1 782 115 | 2.45% | 1.27% | 0.17% |
81 | North America | DO | Dominican R. | 11 090 604 | 0.55% | 0.25% | 0.17% |
82 | South America | CL | Chile | 19 482 269 | 4.49% | 1.66% | 0.17% |
83 | Europe | RO | Romania | 18 951 674 | 1.77% | 0.73% | 0.17% |
84 | North America | CW | Curaçao | 165 590 | 1.60% | 0.26% | 0.17% |
85 | Africa | ST | Sao Tome and Principe | 228 240 | 0.09% | 0.11% | 0.16% |
86 | North America | SX | Sint Maarten | 43 962 | 1.30% | 0.38% | 0.16% |
87 | Europe | SK | Slovakia | 5 465 539 | 0.89% | 0.32% | 0.14% |
88 | Europe | PT | Portugal | 10 130 428 | 7.75% | 1.45% | 0.14% |
89 | Asia | KZ | Kazakhstan | 19 277 809 | 0.45% | 0.31% | 0.13% |
90 | Africa | BW | Botswana | 2 457 583 | 0.80% | 0.06% | 0.13% |
91 | North America | BB | Barbados | 288 160 | 7.53% | 1.90% | 0.12% |
92 | Asia | MV | Maldives | 561 788 | 0.93% | 0.11% | 0.12% |
93 | Australia/Oceania | AU | Australia | 26 159 993 | 11.09% | 2.10% | 0.11% |
94 | North America | MX | Mexico | 131 954 950 | 0.97% | 0.23% | 0.10% |
95 | Asia | MN | Mongolia | 3 396 089 | 1.66% | 0.49% | 0.09% |
96 | North America | US | USA | 335 049 756 | 3.22% | 1.25% | 0.09% |
97 | Europe | MT | Malta | 444 166 | 4.43% | 0.30% | 0.09% |
98 | Europe | ES | Spain | 46 795 160 | 2.04% | 0.32% | 0.08% |
99 | North America | BS | Bahamas | 401 627 | 0.79% | 0.22% | 0.07% |
100 | South America | EC | Ecuador | 18 240 838 | 0.69% | 0.33% | 0.07% |
101 | Europe | MK | North Macedonia | 2 083 183 | 1.44% | 0.42% | 0.07% |
102 | Asia | MY | Malaysia | 33 291 238 | 0.91% | 0.41% | 0.06% |
103 | Asia | AE | Arab Emirates | 10 157 018 | 1.12% | 0.29% | 0.06% |
104 | South America | PY | Paraguay | 7 328 016 | 0.90% | 0.16% | 0.05% |
105 | South America | BR | Brazil | 215 929 973 | 1.66% | 0.30% | 0.05% |
106 | South America | SR | Suriname | 598 358 | 0.18% | 0.05% | 0.05% |
107 | South America | CO | Colombia | 52 092 877 | 0.40% | 0.14% | 0.05% |
108 | Europe | BA | Bosnia and Herzegovina | 3 235 336 | 0.60% | 0.26% | 0.05% |
109 | Asia | LB | Lebanon | 6 757 312 | 1.68% | 0.30% | 0.04% |
110 | North America | HN | Honduras | 10 256 108 | 0.30% | 0.30% | 0.04% |
111 | Africa | ZM | Zambia | 19 533 022 | 0.06% | 0.02% | 0.04% |
112 | North America | JM | Jamaica | 2 989 995 | 0.48% | 0.19% | 0.03% |
113 | Europe | NO | Norway | 5 515 806 | 0.51% | 0.10% | 0.03% |
114 | Asia | VN | Vietnam | 99 292 436 | 0.73% | 0.17% | 0.03% |
115 | Australia/Oceania | FJ | Fiji | 910 936 | 0.38% | 0.13% | 0.02% |
116 | Asia | PH | Philippines | 112 835 294 | 0.19% | 0.13% | 0.02% |
117 | Asia | AZ | Azerbaijan | 10 343 058 | 0.24% | 0.25% | 0.02% |
118 | Asia | KG | Kyrgyzstan | 6 764 377 | 0.07% | 0.03% | 0.02% |
119 | Asia | TL | Timor-Leste | 1 374 480 | 0.02% | 0.02% | 0.02% |
120 | Africa | SO | Somalia | 16 882 823 | 0.00% | 0.00% | 0.02% |
121 | Africa | GH | Ghana | 32 520 343 | 0.02% | 0.00% | 0.02% |
122 | Africa | SZ | Eswatini | 1 186 964 | 0.08% | 0.01% | 0.02% |
123 | North America | NI | Nicaragua | 6 800 402 | 0.01% | 0.01% | 0.02% |
124 | Asia | ID | Indonesia | 279 976 514 | 0.12% | 0.08% | 0.01% |
125 | Asia | LA | Laos | 7 511 127 | 0.07% | 0.07% | 0.01% |
126 | Africa | GA | Gabon | 2 342 935 | 0.05% | 0.01% | 0.01% |
127 | Asia | MM | Myanmar | 55 223 453 | 0.01% | 0.02% | 0.01% |
128 | Asia | TH | Thailand | 70 190 589 | 0.32% | 0.13% | 0.01% |
129 | South America | BO | Bolivia | 12 028 297 | 1.64% | 0.24% | 0.01% |
130 | South America | PE | Peru | 33 996 669 | 1.61% | 0.37% | 0.01% |
131 | Asia | SA | Saudi Arabia | 36 023 641 | 0.13% | 0.02% | 0.01% |
132 | Europe | AL | Albania | 2 870 791 | 1.88% | 0.39% | 0.01% |
133 | Africa | CI | Ivory Coast | 27 836 009 | 0.02% | 0.01% | 0.01% |
134 | Asia | AF | Afghanistan | 40 884 801 | 0.04% | 0.04% | 0.01% |
135 | Asia | IR | Iran | 86 391 625 | 0.36% | 0.10% | 0.01% |
136 | Africa | BI | Burundi | 12 681 192 | 0.06% | 0.01% | 0.01% |
137 | Africa | ZA | South Africa | 60 977 086 | 0.10% | 0.02% | 0.01% |
138 | Asia | BD | Bangladesh | 168 349 895 | 0.04% | 0.01% | 0.01% |
139 | North America | HT | Haiti | 11 712 663 | 0.03% | 0.03% | 0.01% |
140 | North America | GT | Guatemala | 18 655 084 | 1.35% | 0.31% | 0.01% |
141 | Africa | GM | Gambia | 2 568 194 | 0.02% | 0.02% | 0.01% |
142 | Africa | TG | Togo | 8 711 726 | 0.02% | 0.01% | 0.01% |
143 | Africa | NG | Nigeria | 217 541 658 | 0.00% | 0.00% | 0.00% |
144 | Africa | CF | Central African R. | 5 017 145 | 0.01% | 0.00% | 0.00% |
145 | Africa | CV | Cabo Verde | 569 460 | 1.06% | 0.02% | 0.00% |
146 | Australia/Oceania | PG | Papua New Guinea | 9 325 214 | 0.01% | 0.00% | 0.00% |
147 | Asia | IN | India | 1 410 273 474 | 0.10% | 0.03% | 0.00% |
148 | Africa | NE | Niger | 26 162 650 | 0.00% | 0.00% | 0.00% |
149 | Asia | UZ | Uzbekistan | 34 551 503 | 0.01% | 0.00% | 0.00% |
150 | Africa | GQ | Equatorial Guinea | 1 505 867 | 0.06% | 0.01% | 0.00% |
151 | Africa | MZ | Mozambique | 33 209 769 | 0.01% | 0.00% | 0.00% |
152 | Africa | UG | Uganda | 48 965 219 | 0.01% | 0.00% | 0.00% |
153 | Africa | MR | Mauritania | 4 922 415 | 0.07% | 0.00% | 0.00% |
154 | Africa | KE | Kenya | 56 414 444 | 0.03% | 0.00% | 0.00% |
155 | Africa | SN | Senegal | 17 728 659 | 0.01% | 0.00% | 0.00% |
156 | Asia | NP | Nepal | 30 306 197 | 0.07% | 0.03% | 0.00% |
157 | Asia | LK | Sri Lanka | 21 613 502 | 0.03% | 0.01% | 0.00% |
158 | South America | VE | Venezuela | 28 256 320 | 0.07% | 0.03% | 0.00% |
159 | Africa | GW | Guinea-Bissau | 2 071 802 | 0.03% | 0.06% | 0.00% |
160 | North America | LC | Saint Lucia | 185 499 | 2.49% | 1.19% | 0.00% |
161 | North America | CU | Cuba | 11 311 201 | 0.05% | 0.02% | 0.00% |
162 | Africa | SD | Sudan | 46 134 014 | 0.00% | 0.00% | 0.00% |
163 | Australia/Oceania | AS | American Samoa | 56 700 | 3.88% | 1.23% | 0.00% |
164 | Africa | SC | Seychelles | 99 705 | 2.80% | 1.94% | 0.00% |
165 | Europe | GR | Greece | 10 309 569 | 12.31% | 8.69% | 0.00% |
166 | Africa | NA | Namibia | 2 643 585 | 0.24% | 0.01% | 0.00% |
167 | Australia/Oceania | SB | Solomon Islands | 724 475 | 0.47% | 0.00% | 0.00% |
168 | Asia | CN | China | 1 439 323 776 | 0.00% | 0.00% | 0.00% |
169 | Asia | KW | Kuwait | 4 411 493 | 0.57% | 0.12% | 0.00% |
170 | Africa | AO | Angola | 35 148 150 | 0.01% | 0.00% | 0.00% |
171 | Africa | GN | Guinea | 13 927 802 | 0.01% | 0.01% | 0.00% |
172 | Europe | UA | Ukraine | 43 148 150 | 0.15% | 0.39% | 0.00% |
173 | Africa | RW | Rwanda | 13 668 741 | 0.02% | 0.00% | 0.00% |
174 | Africa | CM | Cameroon | 28 020 530 | 0.01% | 0.00% | 0.00% |
175 | Africa | TZ | Tanzania | 63 531 541 | 0.01% | 0.00% | 0.00% |
176 | Asia | KP | North Korea | 25 660 000 | 0.00% | 0.00% | 0.00% |
177 | North America | GL | Greenland | 56 990 | 0.00% | 0.00% | 0.00% |
178 | Africa | CD | DR Congo | 95 638 591 | 0.00% | 0.00% | 0.00% |
179 | Africa | MW | Malawi | 20 233 145 | 0.01% | 0.00% | 0.00% |
180 | Australia/Oceania | TV | Tuvalu | 12 117 | 0.17% | 0.40% | 0.00% |
181 | North America | AI | Anguilla | 15 302 | 5.67% | 6.04% | 0.00% |
182 | Europe | GI | Gibraltar | 33 669 | 5.73% | 0.42% | 0.00% |
183 | Africa | KM | Comoros | 910 938 | 0.04% | 0.02% | 0.00% |
184 | Australia/Oceania | KI | Kiribati | 123 538 | 0.27% | 0.00% | 0.00% |
185 | Europe | VA | Vatican City | 805 | 0.00% | 0.00% | 0.00% |
186 | Africa | CG | Congo | 5 821 197 | 0.01% | 0.00% | 0.00% |
187 | Asia | KH | Cambodia | 17 235 233 | 0.01% | 0.00% | 0.00% |
188 | Australia/Oceania | TO | Tonga | 108 368 | 4.67% | 10.25% | 0.00% |
189 | Africa | TN | Tunisia | 12 094 522 | 0.86% | 0.18% | 0.00% |
190 | North America | BL | St. Barth | 9 944 | 7.17% | 2.21% | 0.00% |
191 | Europe | TM | Turkmenistan | 6 118 000 | 0.00% | 0.00% | 0.00% |
192 | Europe | BY | Belarus | 9 442 392 | 0.12% | 0.00% | 0.00% |
193 | Australia/Oceania | TK | Tokelau | 1 499 | 0.00% | 0.00% | 0.00% |
194 | Australia/Oceania | PN | Pitcairn Islands | 50 | 8.00% | 0.00% | 0.00% |
195 | Asia | TJ | Tajikistan | 10 015 701 | 0.00% | 0.00% | 0.00% |
196 | North America | PM | Saint Pierre | 5 731 | 7.45% | 2.44% | 0.00% |
197 | Europe | FO | Faroe Islands | 49 277 | 0.00% | 0.00% | 0.00% |
198 | Africa | ML | Mali | 21 552 636 | 0.01% | 0.02% | 0.00% |
199 | South America | FK | Falkland Islands | 3 706 | 20.51% | 2.05% | 0.00% |
200 | Asia | PK | Pakistan | 230 463 460 | 0.02% | 0.01% | 0.00% |
201 | Africa | TD | Chad | 17 477 819 | 0.00% | 0.00% | 0.00% |
202 | Africa | MG | Madagascar | 29 279 726 | 0.01% | 0.00% | 0.00% |
203 | North America | TC | Turks and Caicos Islands | 39 886 | 0.82% | 0.34% | 0.00% |
204 | Africa | ET | Ethiopia | 121 318 649 | 0.02% | 0.00% | 0.00% |
205 | North America | MF | Saint Martin | 40 137 | 3.46% | 0.84% | 0.00% |
206 | Asia | BN | Brunei Darussalam | 446 824 | 17.55% | 4.30% | 0.00% |
207 | Asia | PS | Palestine | 5 366 059 | 0.00% | 0.00% | 0.00% |
208 | North America | BM | Bermuda | 61 765 | 6.12% | 2.31% | 0.00% |
209 | Asia | SY | Syria | 18 449 407 | 0.01% | 0.00% | 0.00% |
210 | Asia | IQ | Iraq | 42 236 708 | 0.31% | 0.07% | 0.00% |
211 | Africa | ER | Eritrea | 3 655 937 | 0.01% | 0.00% | 0.00% |
212 | Africa | ZW | Zimbabwe | 15 345 688 | 0.03% | 0.00% | 0.00% |
213 | Europe | MD | Moldova | 4 013 061 | 1.51% | 2.72% | 0.00% |
214 | Africa | BJ | Benin | 12 831 863 | 0.01% | 0.01% | 0.00% |
215 | Africa | EG | Egypt | 106 641 391 | 0.00% | 0.00% | 0.00% |
216 | North America | SV | El Salvador | 6 559 204 | 0.61% | 0.67% | 0.00% |
217 | Europe | IM | Isle of Man | 86 037 | 6.29% | 0.99% | 0.00% |
218 | Asia | OM | Oman | 5 396 468 | 0.16% | 0.06% | 0.00% |
219 | Africa | MA | Morocco | 37 886 664 | 0.26% | 0.00% | 0.00% |
220 | Africa | SS | South Sudan | 11 486 528 | 0.00% | 0.00% | 0.00% |
221 | Asia | YE | Yemen | 31 291 872 | 0.00% | 0.00% | 0.00% |
222 | Africa | LY | Libya | 7 079 771 | 0.07% | 0.01% | 0.00% |
223 | Africa | DZ | Algeria | 45 617 970 | 0.01% | 0.00% | 0.00% |
224 | Africa | BF | Burkina Faso | 22 182 502 | 0.00% | 0.00% | 0.00% |
225 | Australia/Oceania | NR | Nauru | 10 976 | 41.97% | 0.18% | 0.00% |
226 | Australia/Oceania | WS | Samoa | 201 355 | 2.09% | 0.96% | 0.00% |
227 | North America | DM | Dominica | 72 385 | 2.40% | 0.00% | 0.00% |
228 | Australia/Oceania | WF | Wallis and Futuna | 10 801 | 2.84% | 0.00% | 0.00% |
229 | Africa | LS | Lesotho | 2 180 133 | 0.05% | 0.01% | 0.00% |
230 | Africa | SL | Sierra Leone | 8 338 976 | 0.00% | 0.00% | 0.00% |
231 | Africa | DJ | Djibouti | 1 020 058 | 0.01% | 0.00% | 0.00% |
232 | Africa | LR | Liberia | 5 322 964 | 0.01% | 0.02% | 0.00% |
COVID-19, Relative Mortality rate from positive cases in Countries
All Countries, [Filter: Population more then 2 million] | 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 | CD | DR Congo | 95 638 591 | 1.64% | (12.78)% | (0.00)% |
2 | Asia | YE | Yemen | 31 291 872 | 5.36% | (8.33)% | (0.00)% |
3 | South America | SR | Suriname | 598 358 | 2.86% | (7.02)% | (0.05)% |
4 | South America | PY | Paraguay | 7 328 016 | 0.99% | 3.70% | 0.16% |
5 | Africa | EG | Egypt | 106 641 391 | 7.12% | (3.38)% | (0.00)% |
6 | Asia | LK | Sri Lanka | 21 613 502 | 3.21% | (3.13)% | (0.01)% |
7 | Africa | NA | Namibia | 2 643 585 | 0.64% | (2.91)% | (0.01)% |
8 | North America | VC | Saint Vincent | 111 726 | 1.03% | 2.86% | 0.15% |
9 | Europe | NO | Norway | 5 515 806 | 2.83% | (2.59)% | (0.10)% |
10 | Africa | MR | Mauritania | 4 922 415 | 0.29% | (2.13)% | (0.00)% |
11 | Europe | BA | Bosnia and Herzegovina | 3 235 336 | 1.60% | 1.89% | 0.26% |
12 | North America | HT | Haiti | 11 712 663 | 0.75% | 1.78% | 0.03% |
13 | South America | CO | Colombia | 52 092 877 | 0.90% | 1.77% | 0.14% |
14 | North America | JM | Jamaica | 2 989 995 | 1.43% | 1.74% | 0.19% |
15 | North America | CW | Curaçao | 165 590 | 0.40% | 1.67% | 0.26% |
16 | Asia | IR | Iran | 86 391 625 | 0.94% | 1.64% | 0.10% |
17 | Europe | IS | Iceland | 346 183 | 0.35% | 1.61% | 1.66% |
18 | Europe | MC | Monaco | 39 863 | 0.26% | 1.60% | 1.02% |
19 | Europe | GI | Gibraltar | 33 669 | 0.29% | 1.53% | 0.42% |
20 | Asia | PH | Philippines | 112 835 294 | 0.87% | 1.52% | 0.13% |
21 | Asia | SA | Saudi Arabia | 36 023 641 | 0.34% | 1.50% | 0.02% |
22 | North America | TT | Tobago | 1 409 595 | 1.06% | 1.37% | 1.92% |
23 | Europe | ES | Spain | 46 795 160 | 0.62% | 1.31% | 0.32% |
24 | North America | AG | Antigua and Barbuda | 99 738 | 0.78% | 1.27% | 0.43% |
25 | Europe | SE | Sweden | 10 239 736 | 1.55% | 1.26% | 0.74% |
26 | Europe | GB | United Kingdom | 68 681 433 | 0.79% | 1.24% | 0.64% |
27 | Africa | BW | Botswana | 2 457 583 | 0.46% | 1.23% | 0.06% |
28 | Europe | HR | Croatia | 4 048 842 | 0.96% | 1.14% | 0.95% |
29 | Africa | ZW | Zimbabwe | 15 345 688 | 1.55% | 1.14% | 0.00% |
30 | North America | CA | Canada | 38 480 391 | 1.02% | 1.13% | 0.91% |
31 | Africa | GN | Guinea | 13 927 802 | 0.71% | 1.10% | 0.01% |
32 | Europe | SK | Slovakia | 5 465 539 | 0.66% | 1.09% | 0.32% |
33 | Europe | EE | Estonia | 1 328 524 | 0.49% | 1.06% | 0.96% |
34 | Europe | IE | Ireland | 5 060 845 | 0.37% | 1.05% | 0.54% |
35 | Asia | TH | Thailand | 70 190 589 | 1.02% | 1.01% | 0.13% |
36 | North America | MQ | Martinique | 374 616 | 0.19% | 1.01% | 6.02% |
37 | Africa | ZA | South Africa | 60 977 086 | 1.16% | 0.96% | 0.02% |
38 | Europe | IM | Isle of Man | 86 037 | 0.20% | 0.93% | 0.99% |
39 | South America | PE | Peru | 33 996 669 | 0.54% | 0.91% | 0.37% |
40 | Asia | TL | Timor-Leste | 1 374 480 | 2.11% | 0.90% | 0.02% |
41 | Africa | MW | Malawi | 20 233 145 | 1.92% | 0.89% | 0.00% |
42 | North America | AI | Anguilla | 15 302 | 0.28% | 0.87% | 6.04% |
43 | North America | GT | Guatemala | 18 655 084 | 0.61% | 0.85% | 0.31% |
44 | Africa | TN | Tunisia | 12 094 522 | 0.64% | 0.84% | 0.18% |
45 | Australia/Oceania | FJ | Fiji | 910 936 | 0.46% | 0.77% | 0.13% |
46 | Europe | MK | North Macedonia | 2 083 183 | 0.66% | 0.74% | 0.42% |
47 | North America | BB | Barbados | 288 160 | 0.48% | 0.71% | 1.90% |
48 | Africa | TG | Togo | 8 711 726 | 0.69% | 0.70% | 0.01% |
49 | Africa | MA | Morocco | 37 886 664 | 0.20% | 0.69% | 0.00% |
50 | Africa | MZ | Mozambique | 33 209 769 | 0.45% | 0.69% | 0.00% |
51 | Europe | HU | Hungary | 9 605 664 | 0.70% | 0.66% | 2.23% |
52 | Africa | CI | Ivory Coast | 27 836 009 | 0.47% | 0.63% | 0.01% |
53 | North America | VG | British Virgin Islands | 30 680 | 0.21% | 0.63% | 2.27% |
54 | Africa | GM | Gambia | 2 568 194 | 1.70% | 0.59% | 0.02% |
55 | South America | VE | Venezuela | 28 256 320 | 0.43% | 0.57% | 0.03% |
56 | Australia/Oceania | GU | Guam | 172 400 | 0.43% | 0.57% | 3.01% |
57 | South America | BR | Brazil | 215 929 973 | 0.49% | 0.56% | 0.30% |
58 | Asia | AZ | Azerbaijan | 10 343 058 | 0.59% | 0.56% | 0.25% |
59 | North America | MX | Mexico | 131 954 950 | 0.32% | 0.55% | 0.23% |
60 | Asia | PK | Pakistan | 230 463 460 | 0.53% | 0.52% | 0.01% |
61 | Europe | BG | Bulgaria | 6 831 877 | 0.62% | 0.49% | 0.61% |
62 | South America | MP | Northern Mariana Islands | 56 200 | 0.32% | 0.48% | 1.47% |
63 | Europe | DK | Denmark | 5 837 695 | 0.42% | 0.47% | 0.93% |
64 | Europe | AD | Andorra | 77 541 | 0.05% | 0.43% | 1.10% |
65 | Australia/Oceania | FM | Micronesia | 117 713 | 0.33% | 0.43% | 8.77% |
66 | South America | UY | Uruguay | 3 500 580 | 0.31% | 0.42% | 0.87% |
67 | Africa | TZ | Tanzania | 63 531 541 | 0.11% | 0.42% | 0.00% |
68 | Europe | RO | Romania | 18 951 674 | 0.35% | 0.42% | 0.73% |
69 | North America | LC | Saint Lucia | 185 499 | 0.44% | 0.41% | 1.19% |
70 | Africa | NE | Niger | 26 162 650 | 0.53% | 0.41% | 0.00% |
71 | Australia/Oceania | NZ | New Zealand | 5 002 100 | 0.29% | 0.41% | 2.27% |
72 | Asia | NP | Nepal | 30 306 197 | 0.32% | 0.40% | 0.03% |
73 | Asia | ID | Indonesia | 279 976 514 | 0.36% | 0.40% | 0.08% |
74 | Europe | MT | Malta | 444 166 | 0.41% | 0.40% | 0.30% |
75 | South America | GY | Guyana | 795 018 | 0.68% | 0.39% | 0.40% |
76 | North America | GD | Grenada | 113 686 | 0.39% | 0.38% | 1.79% |
77 | Europe | BE | Belgium | 11 702 123 | 0.24% | 0.38% | 1.52% |
78 | Australia/Oceania | AS | American Samoa | 56 700 | 0.18% | 0.38% | 1.23% |
79 | North America | HN | Honduras | 10 256 108 | 0.30% | 0.37% | 0.30% |
80 | South America | EC | Ecuador | 18 240 838 | 0.21% | 0.36% | 0.33% |
81 | North America | AW | Aruba | 107 777 | 0.20% | 0.36% | 1.83% |
82 | Europe | PL | Poland | 37 754 189 | 0.46% | 0.36% | 0.64% |
83 | Australia/Oceania | AU | Australia | 26 159 993 | 0.19% | 0.35% | 2.10% |
84 | North America | US | USA | 335 049 756 | 0.36% | 0.33% | 1.25% |
85 | Africa | NG | Nigeria | 217 541 658 | 0.13% | 0.33% | 0.00% |
86 | Europe | MD | Moldova | 4 013 061 | 0.43% | 0.32% | 2.72% |
87 | South America | CL | Chile | 19 482 269 | 0.32% | 0.32% | 1.66% |
88 | Europe | UA | Ukraine | 43 148 150 | 0.59% | 0.31% | 0.39% |
89 | Asia | LB | Lebanon | 6 757 312 | 0.19% | 0.31% | 0.30% |
90 | South America | AR | Argentina | 46 120 998 | 0.18% | 0.30% | 0.56% |
91 | Europe | GR | Greece | 10 309 569 | 0.24% | 0.30% | 8.69% |
92 | South America | PR | Puerto Rico | 3 193 694 | 0.21% | 0.29% | 6.70% |
93 | Africa | GW | Guinea-Bissau | 2 071 802 | 0.69% | 0.29% | 0.06% |
94 | North America | CR | Costa Rica | 5 197 894 | 0.20% | 0.28% | 2.82% |
95 | Europe | FR | France | 65 595 624 | 0.12% | 0.28% | 0.78% |
96 | Asia | IN | India | 1 410 273 474 | 0.26% | 0.28% | 0.03% |
97 | Asia | AM | Armenia | 2 975 594 | 0.29% | 0.28% | 1.14% |
98 | Asia | IQ | Iraq | 42 236 708 | 0.10% | 0.28% | 0.07% |
99 | Europe | RS | Serbia | 8 658 917 | 0.25% | 0.27% | 2.40% |
100 | Europe | CZ | Czechia | 10 753 287 | 0.43% | 0.27% | 1.18% |
101 | Africa | LY | Libya | 7 079 771 | 0.14% | 0.27% | 0.01% |
102 | Asia | AF | Afghanistan | 40 884 801 | 0.53% | 0.26% | 0.04% |
103 | Europe | JE | Jersey | 107 800 | 0.11% | 0.26% | 2.47% |
104 | Africa | ET | Ethiopia | 121 318 649 | 0.27% | 0.25% | 0.00% |
105 | Asia | CY | Cyprus | 1 226 965 | 0.13% | 0.25% | 2.58% |
106 | Africa | KE | Kenya | 56 414 444 | 0.18% | 0.25% | 0.00% |
107 | Europe | IT | Italy | 60 263 602 | 0.20% | 0.24% | 2.06% |
108 | Europe | FI | Finland | 5 559 915 | 0.53% | 0.23% | 1.86% |
109 | Asia | BD | Bangladesh | 168 349 895 | 0.33% | 0.23% | 0.01% |
110 | Africa | UG | Uganda | 48 965 219 | 0.63% | 0.22% | 0.00% |
111 | Asia | IL | Israel | 9 326 000 | 0.15% | 0.22% | 1.21% |
112 | Asia | MM | Myanmar | 55 223 453 | 0.21% | 0.21% | 0.02% |
113 | North America | PA | Panama | 4 466 324 | 0.15% | 0.20% | 1.56% |
114 | Asia | TR | Turkey | 86 363 808 | 0.12% | 0.19% | 1.50% |
115 | Asia | MY | Malaysia | 33 291 238 | 0.20% | 0.19% | 0.41% |
116 | South America | BO | Bolivia | 12 028 297 | 0.14% | 0.18% | 0.24% |
117 | Europe | PT | Portugal | 10 130 428 | 0.19% | 0.18% | 1.45% |
118 | Asia | HK | Hong Kong | 7 632 666 | 0.15% | 0.18% | 12.54% |
119 | Europe | ME | Montenegro | 628 243 | 0.14% | 0.17% | 1.77% |
120 | Africa | SC | Seychelles | 99 705 | 0.06% | 0.16% | 1.94% |
121 | Europe | RU | Russia | 146 073 999 | 0.35% | 0.15% | 2.16% |
122 | Europe | XK | Kosovo | 1 782 115 | 0.14% | 0.14% | 1.27% |
123 | South America | GF | French Guiana | 315 959 | 0.09% | 0.13% | 0.71% |
124 | Europe | LV | Latvia | 1 839 738 | 0.17% | 0.13% | 2.84% |
125 | Asia | JP | Japan | 125 613 305 | 0.11% | 0.12% | 6.66% |
126 | Europe | SI | Slovenia | 2 079 575 | 0.32% | 0.12% | 4.82% |
127 | Africa | DZ | Algeria | 45 617 970 | 0.09% | 0.12% | 0.00% |
128 | Europe | LU | Luxembourg | 648 702 | 0.12% | 0.12% | 1.92% |
129 | Africa | RE | Réunion | 909 565 | 0.16% | 0.12% | 9.89% |
130 | Asia | TW | Taiwan | 23 912 908 | 0.19% | 0.11% | 18.45% |
131 | Asia | BH | Bahrain | 1 833 599 | 0.03% | 0.10% | 0.85% |
132 | Asia | JO | Jordan | 10 429 112 | 0.11% | 0.10% | 0.82% |
133 | North America | SV | El Salvador | 6 559 204 | 0.25% | 0.10% | 0.67% |
134 | Europe | NL | Netherlands | 17 219 424 | 0.09% | 0.09% | 0.40% |
135 | Europe | AL | Albania | 2 870 791 | 0.16% | 0.09% | 0.39% |
136 | Europe | AT | Austria | 9 121 024 | 0.11% | 0.08% | 3.36% |
137 | Asia | MN | Mongolia | 3 396 089 | 0.03% | 0.07% | 0.49% |
138 | Asia | KZ | Kazakhstan | 19 277 809 | 0.04% | 0.07% | 0.31% |
139 | Europe | LT | Lithuania | 2 637 684 | 0.20% | 0.06% | 2.35% |
140 | Asia | BN | Brunei Darussalam | 446 824 | 0.03% | 0.06% | 4.30% |
141 | Asia | KR | South Korea | 51 367 577 | 0.06% | 0.05% | 8.99% |
142 | Europe | DE | Germany | 84 381 438 | 0.11% | 0.05% | 2.51% |
143 | Africa | MU | Mauritius | 1 276 474 | 0.08% | 0.05% | 2.22% |
144 | Asia | GE | Georgia | 3 972 095 | 0.09% | 0.04% | 5.18% |
145 | Africa | ZM | Zambia | 19 533 022 | 0.27% | 0.04% | 0.02% |
146 | Asia | SG | Singapore | 5 952 983 | 0.04% | 0.04% | 2.13% |
147 | Asia | VN | Vietnam | 99 292 436 | 0.01% | 0.04% | 0.17% |
148 | Australia/Oceania | MH | Marshall Islands | 60 081 | 0.11% | 0.02% | 2.87% |
149 | Europe | CH | Switzerland | 8 795 811 | 0.07% | 0.02% | 0.92% |
150 | Asia | AE | Arab Emirates | 10 157 018 | 0.03% | 0.02% | 0.29% |
151 | Asia | QA | Qatar | 2 807 805 | 0.01% | 0.01% | 1.49% |
152 | North America | MS | Montserrat | 4 999 | 0.81% | 0.00% | 14.32% |
153 | Australia/Oceania | TO | Tonga | 108 368 | 0.02% | 0.00% | 10.25% |
154 | North America | KY | Cayman Islands | 67 444 | 0.01% | 0.00% | 4.31% |
155 | Australia/Oceania | NU | Niue | 1 651 | 0.00% | 0.00% | 4.12% |
156 | Australia/Oceania | PW | Palau | 18 286 | 0.00% | 0.00% | 4.02% |
157 | Australia/Oceania | CK | Cook Islands | 17 600 | 0.00% | 0.00% | 4.02% |
158 | Europe | SM | San Marino | 34 090 | 0.09% | 0.00% | 2.53% |
159 | North America | PM | Saint Pierre | 5 731 | 0.00% | 0.00% | 2.44% |
160 | North America | BM | Bermuda | 61 765 | 0.32% | 0.00% | 2.31% |
161 | North America | BL | St. Barth | 9 944 | 0.13% | 0.00% | 2.21% |
162 | South America | FK | Falkland Islands | 3 706 | 0.00% | 0.00% | 2.05% |
163 | Europe | LI | Liechtenstein | 38 372 | 0.11% | 0.00% | 1.80% |
164 | Europe | GG | Guernsey | 174 853 | 0.27% | 0.00% | 1.18% |
165 | Australia/Oceania | WS | Samoa | 201 355 | 0.10% | 0.00% | 0.96% |
166 | North America | MF | Saint Martin | 40 137 | 0.14% | 0.00% | 0.84% |
167 | North America | BZ | Belize | 413 735 | 0.04% | 0.00% | 0.82% |
168 | Australia/Oceania | NC | New Caledonia | 291 621 | 0.01% | 0.00% | 0.72% |
169 | Africa | YT | Mayotte | 287 505 | 0.00% | 0.00% | 0.64% |
170 | Australia/Oceania | PF | French Polynesia | 284 530 | 0.00% | 0.00% | 0.51% |
171 | Australia/Oceania | TV | Tuvalu | 12 117 | 0.00% | 0.00% | 0.40% |
172 | North America | SX | Sint Maarten | 43 962 | 0.14% | 0.00% | 0.38% |
173 | North America | TC | Turks and Caicos Islands | 39 886 | 0.00% | 0.00% | 0.34% |
174 | Asia | BT | Bhutan | 790 564 | 0.00% | 0.00% | 0.32% |
175 | North America | KN | Saint Kitts and Nevis | 54 038 | 0.32% | 0.00% | 0.30% |
176 | North America | DO | Dominican R. | 11 090 604 | 0.01% | 0.00% | 0.25% |
177 | North America | BS | Bahamas | 401 627 | 0.65% | 0.00% | 0.22% |
178 | Australia/Oceania | VU | Vanuatu | 323 162 | 0.00% | 0.00% | 0.20% |
179 | Australia/Oceania | NR | Nauru | 10 976 | 0.02% | 0.00% | 0.18% |
180 | Asia | KW | Kuwait | 4 411 493 | 0.03% | 0.00% | 0.12% |
181 | Africa | ST | Sao Tome and Principe | 228 240 | 1.54% | 0.00% | 0.11% |
182 | Asia | MV | Maldives | 561 788 | 0.19% | 0.00% | 0.11% |
183 | Asia | LA | Laos | 7 511 127 | 0.02% | 0.00% | 0.07% |
184 | Asia | OM | Oman | 5 396 468 | 0.01% | 0.00% | 0.06% |
185 | Asia | KG | Kyrgyzstan | 6 764 377 | 0.00% | 0.00% | 0.03% |
186 | Africa | KM | Comoros | 910 938 | 0.00% | 0.00% | 0.02% |
187 | Africa | CV | Cabo Verde | 569 460 | 0.13% | 0.00% | 0.02% |
188 | North America | CU | Cuba | 11 311 201 | 0.02% | 0.00% | 0.02% |
189 | Africa | ML | Mali | 21 552 636 | 0.41% | 0.00% | 0.02% |
190 | Africa | LR | Liberia | 5 322 964 | 0.00% | 0.00% | 0.02% |
191 | Africa | SZ | Eswatini | 1 186 964 | 1.23% | 0.00% | 0.01% |
192 | North America | NI | Nicaragua | 6 800 402 | 1.57% | 0.00% | 0.01% |
193 | Africa | LS | Lesotho | 2 180 133 | 0.56% | 0.00% | 0.01% |
194 | Africa | GA | Gabon | 2 342 935 | 0.19% | 0.00% | 0.01% |
195 | Africa | GQ | Equatorial Guinea | 1 505 867 | 0.00% | 0.00% | 0.01% |
196 | Africa | BJ | Benin | 12 831 863 | 0.00% | 0.00% | 0.01% |
197 | Africa | BI | Burundi | 12 681 192 | 0.00% | 0.00% | 0.01% |
198 | Asia | SY | Syria | 18 449 407 | 1.01% | 0.00% | 0.00% |
199 | Africa | AO | Angola | 35 148 150 | 0.46% | 0.00% | 0.00% |
200 | Africa | SN | Senegal | 17 728 659 | 0.09% | 0.00% | 0.00% |
201 | Asia | KH | Cambodia | 17 235 233 | 0.00% | 0.00% | 0.00% |
202 | Africa | GH | Ghana | 32 520 343 | 0.19% | 0.00% | 0.00% |
203 | Asia | UZ | Uzbekistan | 34 551 503 | 0.00% | 0.00% | 0.00% |
204 | Australia/Oceania | PG | Papua New Guinea | 9 325 214 | 2.54% | 0.00% | 0.00% |
205 | Africa | RW | Rwanda | 13 668 741 | 0.28% | 0.00% | 0.00% |
206 | Africa | TD | Chad | 17 477 819 | 0.00% | 0.00% | 0.00% |
207 | Africa | ER | Eritrea | 3 655 937 | 0.00% | 0.00% | 0.00% |
208 | Africa | SD | Sudan | 46 134 014 | 2.18% | 0.00% | 0.00% |
209 | Africa | MG | Madagascar | 29 279 726 | 0.71% | 0.00% | 0.00% |
210 | Africa | CF | Central African R. | 5 017 145 | 0.00% | 0.00% | 0.00% |
211 | Africa | SL | Sierra Leone | 8 338 976 | 0.00% | 0.00% | 0.00% |
212 | Africa | CM | Cameroon | 28 020 530 | 0.29% | 0.00% | 0.00% |
213 | Africa | SO | Somalia | 16 882 823 | 0.00% | 0.00% | 0.00% |
214 | Africa | BF | Burkina Faso | 22 182 502 | 1.31% | 0.00% | 0.00% |
215 | Europe | BY | Belarus | 9 442 392 | 1.23% | 0.00% | 0.00% |
216 | North America | DM | Dominica | 72 385 | 0.21% | 0.00% | 0.00% |
217 | Africa | CG | Congo | 5 821 197 | 0.14% | 0.00% | 0.00% |
218 | Australia/Oceania | SB | Solomon Islands | 724 475 | 0.14% | 0.00% | 0.00% |
219 | Australia/Oceania | KI | Kiribati | 123 538 | 0.00% | 0.00% | 0.00% |
220 | Australia/Oceania | PN | Pitcairn Islands | 50 | 0.00% | 0.00% | 0.00% |
221 | Africa | SS | South Sudan | 11 486 528 | 0.00% | 0.00% | 0.00% |
222 | Australia/Oceania | WF | Wallis and Futuna | 10 801 | 0.00% | 0.00% | 0.00% |
223 | Africa | DJ | Djibouti | 1 020 058 | 0.00% | 0.00% | 0.00% |
224 | Asia | CN | China | 1 439 323 776 | 0.00% | 0.00% | 0.00% |
225 | North America | GL | Greenland | 56 990 | 0.00% | 0.00% | 0.00% |
226 | Asia | KP | North Korea | 25 660 000 | 0.00% | 0.00% | 0.00% |
227 | Europe | VA | Vatican City | 805 | 0.00% | 0.00% | 0.00% |
228 | Europe | TM | Turkmenistan | 6 118 000 | 0.00% | 0.00% | 0.00% |
229 | Australia/Oceania | TK | Tokelau | 1 499 | 0.00% | 0.00% | 0.00% |
230 | Asia | TJ | Tajikistan | 10 015 701 | 0.00% | 0.00% | 0.00% |
231 | Europe | FO | Faroe Islands | 49 277 | 0.00% | 0.00% | 0.00% |
232 | Asia | PS | Palestine | 5 366 059 | 0.00% | 0.00% | 0.00% |
COVID-19, Total Mortality rate (from population) in Countries
All Countries, [Filter: Population more then 2 million] | Compare with [DEATHS] ! and with [CUMULATIVE DEATHS]N. | Region | CD | Country | Population | Deaths | 1000*Deaths/Pop. |
---|---|---|---|---|---|---|
1 | South America | PE | Peru | 33 996 669 | 216 146 | 6.358‰ |
2 | Europe | BG | Bulgaria | 6 831 877 | 37 661 | 5.513‰ |
3 | Europe | BA | Bosnia and Herzegovina | 3 235 336 | 16 100 | 4.976‰ |
4 | Europe | HU | Hungary | 9 605 664 | 47 367 | 4.931‰ |
5 | Europe | MK | North Macedonia | 2 083 183 | 9 512 | 4.566‰ |
6 | Europe | ME | Montenegro | 628 243 | 2 778 | 4.422‰ |
7 | Asia | GE | Georgia | 3 972 095 | 16 900 | 4.255‰ |
8 | Europe | HR | Croatia | 4 048 842 | 16 812 | 4.152‰ |
9 | Europe | SI | Slovenia | 2 079 575 | 8 185 | 3.936‰ |
10 | Europe | CZ | Czechia | 10 753 287 | 40 918 | 3.805‰ |
11 | Europe | SK | Slovakia | 5 465 539 | 20 420 | 3.736‰ |
12 | Europe | RO | Romania | 18 951 674 | 66 867 | 3.528‰ |
13 | Europe | LT | Lithuania | 2 637 684 | 9 295 | 3.524‰ |
14 | Europe | SM | San Marino | 34 090 | 118 | 3.461‰ |
15 | Europe | LV | Latvia | 1 839 738 | 5 963 | 3.241‰ |
16 | Europe | GI | Gibraltar | 33 669 | 108 | 3.208‰ |
17 | Europe | GR | Greece | 10 309 569 | 32 757 | 3.177‰ |
18 | South America | BR | Brazil | 215 929 973 | 684 874 | 3.172‰ |
19 | South America | CL | Chile | 19 482 269 | 60 814 | 3.122‰ |
20 | Europe | PL | Poland | 37 754 189 | 117 305 | 3.107‰ |
21 | North America | US | USA | 335 049 756 | 1 039 676 | 3.103‰ |
22 | North America | TT | Tobago | 1 409 595 | 4 171 | 2.959‰ |
23 | Europe | MD | Moldova | 4 013 061 | 11 783 | 2.936‰ |
24 | Europe | IT | Italy | 60 263 602 | 176 306 | 2.926‰ |
25 | Asia | AM | Armenia | 2 975 594 | 8 673 | 2.915‰ |
26 | South America | AR | Argentina | 46 120 998 | 129 830 | 2.815‰ |
27 | Europe | BE | Belgium | 11 702 123 | 32 605 | 2.786‰ |
28 | North America | MQ | Martinique | 374 616 | 1 036 | 2.765‰ |
29 | Europe | GB | United Kingdom | 68 681 433 | 189 026 | 2.752‰ |
30 | South America | CO | Colombia | 52 092 877 | 141 708 | 2.720‰ |
31 | South America | PY | Paraguay | 7 328 016 | 19 530 | 2.665‰ |
32 | Europe | RU | Russia | 146 073 999 | 385 631 | 2.640‰ |
33 | Europe | UA | Ukraine | 43 148 150 | 108 885 | 2.523‰ |
34 | North America | MX | Mexico | 131 954 950 | 329 761 | 2.499‰ |
35 | Europe | PT | Portugal | 10 130 428 | 24 928 | 2.461‰ |
36 | Europe | ES | Spain | 46 795 160 | 113 148 | 2.418‰ |
37 | Africa | TN | Tunisia | 12 094 522 | 29 238 | 2.417‰ |
38 | North America | BM | Bermuda | 61 765 | 148 | 2.396‰ |
39 | South America | SR | Suriname | 598 358 | 1 384 | 2.313‰ |
40 | Europe | FR | France | 65 595 624 | 151 031 | 2.303‰ |
41 | Australia/Oceania | GU | Guam | 172 400 | 394 | 2.285‰ |
42 | Australia/Oceania | PF | French Polynesia | 284 530 | 649 | 2.281‰ |
43 | Europe | AT | Austria | 9 121 024 | 20 722 | 2.272‰ |
44 | Europe | LI | Liechtenstein | 38 372 | 85 | 2.215‰ |
45 | South America | UY | Uruguay | 3 500 580 | 7 462 | 2.132‰ |
46 | North America | AW | Aruba | 107 777 | 228 | 2.115‰ |
47 | North America | LC | Saint Lucia | 185 499 | 391 | 2.108‰ |
48 | North America | VG | British Virgin Islands | 30 680 | 64 | 2.086‰ |
49 | North America | GD | Grenada | 113 686 | 236 | 2.076‰ |
50 | North America | BS | Bahamas | 401 627 | 823 | 2.049‰ |
51 | Europe | EE | Estonia | 1 328 524 | 2 675 | 2.014‰ |
52 | Europe | AD | Andorra | 77 541 | 155 | 1.999‰ |
53 | North America | SX | Sint Maarten | 43 962 | 87 | 1.979‰ |
54 | South America | EC | Ecuador | 18 240 838 | 35 876 | 1.967‰ |
55 | Europe | SE | Sweden | 10 239 736 | 20 006 | 1.954‰ |
56 | Europe | RS | Serbia | 8 658 917 | 16 843 | 1.945‰ |
57 | North America | BB | Barbados | 288 160 | 556 | 1.929‰ |
58 | North America | PA | Panama | 4 466 324 | 8 487 | 1.900‰ |
59 | South America | BO | Bolivia | 12 028 297 | 22 218 | 1.847‰ |
60 | Europe | MT | Malta | 444 166 | 803 | 1.808‰ |
61 | Europe | XK | Kosovo | 1 782 115 | 3 189 | 1.789‰ |
62 | Europe | DE | Germany | 84 381 438 | 148 507 | 1.760‰ |
63 | Europe | LU | Luxembourg | 648 702 | 1 125 | 1.734‰ |
64 | North America | CW | Curaçao | 165 590 | 287 | 1.733‰ |
65 | North America | CR | Costa Rica | 5 197 894 | 8 913 | 1.715‰ |
66 | Africa | SC | Seychelles | 99 705 | 169 | 1.695‰ |
67 | Africa | ZA | South Africa | 60 977 086 | 102 129 | 1.675‰ |
68 | Asia | IR | Iran | 86 391 625 | 144 206 | 1.669‰ |
69 | North America | BZ | Belize | 413 735 | 680 | 1.644‰ |
70 | South America | GY | Guyana | 795 018 | 1 279 | 1.609‰ |
71 | North America | MS | Montserrat | 4 999 | 8 | 1.600‰ |
72 | Europe | MC | Monaco | 39 863 | 63 | 1.580‰ |
73 | South America | PR | Puerto Rico | 3 193 694 | 5 034 | 1.576‰ |
74 | Asia | LB | Lebanon | 6 757 312 | 10 648 | 1.576‰ |
75 | Europe | IE | Ireland | 5 060 845 | 7 870 | 1.555‰ |
76 | Africa | NA | Namibia | 2 643 585 | 4 077 | 1.542‰ |
77 | Europe | CH | Switzerland | 8 795 811 | 13 539 | 1.539‰ |
78 | North America | AG | Antigua and Barbuda | 99 738 | 146 | 1.464‰ |
79 | Asia | JO | Jordan | 10 429 112 | 14 114 | 1.353‰ |
80 | Europe | IM | Isle of Man | 86 037 | 116 | 1.348‰ |
81 | Asia | HK | Hong Kong | 7 632 666 | 10 134 | 1.328‰ |
82 | Europe | NL | Netherlands | 17 219 424 | 22 616 | 1.313‰ |
83 | South America | GF | French Guiana | 315 959 | 409 | 1.294‰ |
84 | Europe | JE | Jersey | 107 800 | 137 | 1.271‰ |
85 | Asia | IL | Israel | 9 326 000 | 11 687 | 1.253‰ |
86 | Europe | AL | Albania | 2 870 791 | 3 586 | 1.249‰ |
87 | Africa | SZ | Eswatini | 1 186 964 | 1 422 | 1.198‰ |
88 | Europe | DK | Denmark | 5 837 695 | 6 986 | 1.197‰ |
89 | Asia | TR | Turkey | 86 363 808 | 101 068 | 1.170‰ |
90 | North America | CA | Canada | 38 480 391 | 44 347 | 1.153‰ |
91 | North America | MF | Saint Martin | 40 137 | 46 | 1.146‰ |
92 | Africa | BW | Botswana | 2 457 583 | 2 781 | 1.132‰ |
93 | North America | JM | Jamaica | 2 989 995 | 3 285 | 1.099‰ |
94 | Asia | MY | Malaysia | 33 291 238 | 36 292 | 1.090‰ |
95 | Australia/Oceania | NC | New Caledonia | 291 621 | 314 | 1.077‰ |
96 | North America | HN | Honduras | 10 256 108 | 10 989 | 1.071‰ |
97 | North America | GT | Guatemala | 18 655 084 | 19 672 | 1.054‰ |
98 | North America | VC | Saint Vincent | 111 726 | 116 | 1.038‰ |
99 | Europe | FI | Finland | 5 559 915 | 5 768 | 1.037‰ |
100 | Asia | KZ | Kazakhstan | 19 277 809 | 19 047 | 0.988‰ |
101 | Africa | RE | Réunion | 909 565 | 879 | 0.966‰ |
102 | Australia/Oceania | FJ | Fiji | 910 936 | 878 | 0.964‰ |
103 | Asia | CY | Cyprus | 1 226 965 | 1 173 | 0.956‰ |
104 | Asia | AZ | Azerbaijan | 10 343 058 | 9 861 | 0.953‰ |
105 | North America | DM | Dominica | 72 385 | 68 | 0.939‰ |
106 | Africa | LY | Libya | 7 079 771 | 6 437 | 0.909‰ |
107 | North America | TC | Turks and Caicos Islands | 39 886 | 36 | 0.903‰ |
108 | Asia | OM | Oman | 5 396 468 | 4 628 | 0.858‰ |
109 | North America | KN | Saint Kitts and Nevis | 54 038 | 46 | 0.851‰ |
110 | Asia | BH | Bahrain | 1 833 599 | 1 518 | 0.828‰ |
111 | Africa | MU | Mauritius | 1 276 474 | 1 024 | 0.802‰ |
112 | North America | AI | Anguilla | 15 302 | 12 | 0.784‰ |
113 | Asia | LK | Sri Lanka | 21 613 502 | 16 732 | 0.774‰ |
114 | North America | CU | Cuba | 11 311 201 | 8 530 | 0.754‰ |
115 | Europe | BY | Belarus | 9 442 392 | 7 118 | 0.754‰ |
116 | Europe | NO | Norway | 5 515 806 | 4 004 | 0.726‰ |
117 | Africa | CV | Cabo Verde | 569 460 | 410 | 0.720‰ |
118 | South America | MP | Northern Mariana Islands | 56 200 | 40 | 0.712‰ |
119 | Africa | YT | Mayotte | 287 505 | 187 | 0.650‰ |
120 | Australia/Oceania | WF | Wallis and Futuna | 10 801 | 7 | 0.648‰ |
121 | North America | SV | El Salvador | 6 559 204 | 4 228 | 0.645‰ |
122 | Asia | MN | Mongolia | 3 396 089 | 2 130 | 0.627‰ |
123 | Europe | IS | Iceland | 346 183 | 213 | 0.615‰ |
124 | Asia | IQ | Iraq | 42 236 708 | 25 348 | 0.600‰ |
125 | Australia/Oceania | AS | American Samoa | 56 700 | 34 | 0.600‰ |
126 | Australia/Oceania | NZ | New Zealand | 5 002 100 | 2 962 | 0.592‰ |
127 | Asia | KW | Kuwait | 4 411 493 | 2 563 | 0.581‰ |
128 | Europe | FO | Faroe Islands | 49 277 | 28 | 0.568‰ |
129 | Asia | ID | Indonesia | 279 976 514 | 157 828 | 0.564‰ |
130 | Asia | PH | Philippines | 112 835 294 | 62 372 | 0.553‰ |
131 | Australia/Oceania | AU | Australia | 26 159 993 | 14 443 | 0.552‰ |
132 | Asia | MV | Maldives | 561 788 | 308 | 0.548‰ |
133 | Asia | KR | South Korea | 51 367 577 | 27 559 | 0.536‰ |
134 | North America | BL | St. Barth | 9 944 | 5 | 0.503‰ |
135 | Asia | TH | Thailand | 70 190 589 | 32 574 | 0.464‰ |
136 | Asia | TW | Taiwan | 23 912 908 | 10 912 | 0.456‰ |
137 | Asia | KG | Kyrgyzstan | 6 764 377 | 2 991 | 0.442‰ |
138 | Asia | VN | Vietnam | 99 292 436 | 43 131 | 0.434‰ |
139 | North America | KY | Cayman Islands | 67 444 | 29 | 0.430‰ |
140 | Africa | MA | Morocco | 37 886 664 | 16 276 | 0.430‰ |
141 | Asia | NP | Nepal | 30 306 197 | 12 015 | 0.397‰ |
142 | North America | DO | Dominican R. | 11 090 604 | 4 384 | 0.395‰ |
143 | Asia | IN | India | 1 410 273 474 | 528 217 | 0.375‰ |
144 | North America | GL | Greenland | 56 990 | 21 | 0.368‰ |
145 | Africa | ZW | Zimbabwe | 15 345 688 | 5 596 | 0.365‰ |
146 | Europe | GG | Guernsey | 174 853 | 62 | 0.355‰ |
147 | Asia | MM | Myanmar | 55 223 453 | 19 442 | 0.352‰ |
148 | Asia | JP | Japan | 125 613 305 | 42 882 | 0.341‰ |
149 | Africa | ST | Sao Tome and Principe | 228 240 | 76 | 0.333‰ |
150 | Australia/Oceania | PW | Palau | 18 286 | 6 | 0.328‰ |
151 | Africa | LS | Lesotho | 2 180 133 | 704 | 0.323‰ |
152 | Asia | BN | Brunei Darussalam | 446 824 | 129 | 0.289‰ |
153 | Australia/Oceania | MH | Marshall Islands | 60 081 | 17 | 0.283‰ |
154 | Asia | SG | Singapore | 5 952 983 | 1 607 | 0.270‰ |
155 | Asia | SA | Saudi Arabia | 36 023 641 | 9 320 | 0.259‰ |
156 | Australia/Oceania | FM | Micronesia | 117 713 | 29 | 0.246‰ |
157 | Asia | QA | Qatar | 2 807 805 | 682 | 0.243‰ |
158 | Africa | EG | Egypt | 106 641 391 | 24 796 | 0.233‰ |
159 | Asia | AE | Arab Emirates | 10 157 018 | 2 343 | 0.231‰ |
160 | Australia/Oceania | SB | Solomon Islands | 724 475 | 153 | 0.211‰ |
161 | Africa | ZM | Zambia | 19 533 022 | 4 017 | 0.206‰ |
162 | South America | VE | Venezuela | 28 256 320 | 5 809 | 0.206‰ |
163 | Africa | MR | Mauritania | 4 922 415 | 993 | 0.202‰ |
164 | Asia | AF | Afghanistan | 40 884 801 | 7 789 | 0.191‰ |
165 | Africa | DJ | Djibouti | 1 020 058 | 189 | 0.185‰ |
166 | Asia | KH | Cambodia | 17 235 233 | 3 056 | 0.177‰ |
167 | Africa | KM | Comoros | 910 938 | 160 | 0.176‰ |
168 | North America | PM | Saint Pierre | 5 731 | 1 | 0.174‰ |
169 | Asia | BD | Bangladesh | 168 349 895 | 29 336 | 0.174‰ |
170 | Asia | SY | Syria | 18 449 407 | 3 163 | 0.171‰ |
171 | Africa | DZ | Algeria | 45 617 970 | 6 879 | 0.151‰ |
172 | Africa | GM | Gambia | 2 568 194 | 372 | 0.145‰ |
173 | Australia/Oceania | WS | Samoa | 201 355 | 29 | 0.144‰ |
174 | Asia | PK | Pakistan | 230 463 460 | 30 599 | 0.133‰ |
175 | Africa | MW | Malawi | 20 233 145 | 2 675 | 0.132‰ |
176 | Africa | GA | Gabon | 2 342 935 | 306 | 0.131‰ |
177 | Africa | GQ | Equatorial Guinea | 1 505 867 | 183 | 0.121‰ |
178 | Africa | SN | Senegal | 17 728 659 | 1 968 | 0.111‰ |
179 | Australia/Oceania | TO | Tonga | 108 368 | 12 | 0.111‰ |
180 | Africa | SD | Sudan | 46 134 014 | 4 961 | 0.107‰ |
181 | Africa | RW | Rwanda | 13 668 741 | 1 466 | 0.107‰ |
182 | Australia/Oceania | KI | Kiribati | 123 538 | 13 | 0.105‰ |
183 | Asia | LA | Laos | 7 511 127 | 757 | 0.101‰ |
184 | Africa | KE | Kenya | 56 414 444 | 5 674 | 0.101‰ |
185 | Asia | TL | Timor-Leste | 1 374 480 | 138 | 0.100‰ |
186 | Australia/Oceania | NR | Nauru | 10 976 | 1 | 0.091‰ |
187 | Africa | GW | Guinea-Bissau | 2 071 802 | 175 | 0.085‰ |
188 | Africa | SO | Somalia | 16 882 823 | 1 361 | 0.081‰ |
189 | Africa | UG | Uganda | 48 965 219 | 3 628 | 0.074‰ |
190 | North America | HT | Haiti | 11 712 663 | 857 | 0.073‰ |
191 | Australia/Oceania | PG | Papua New Guinea | 9 325 214 | 664 | 0.071‰ |
192 | Africa | CM | Cameroon | 28 020 530 | 1 935 | 0.069‰ |
193 | Asia | YE | Yemen | 31 291 872 | 2 155 | 0.069‰ |
194 | Africa | MZ | Mozambique | 33 209 769 | 2 222 | 0.067‰ |
195 | Africa | CG | Congo | 5 821 197 | 386 | 0.066‰ |
196 | Africa | ET | Ethiopia | 121 318 649 | 7 572 | 0.062‰ |
197 | Australia/Oceania | CK | Cook Islands | 17 600 | 1 | 0.057‰ |
198 | Africa | LR | Liberia | 5 322 964 | 294 | 0.055‰ |
199 | Africa | AO | Angola | 35 148 150 | 1 917 | 0.054‰ |
200 | Africa | MG | Madagascar | 29 279 726 | 1 410 | 0.048‰ |
201 | Asia | UZ | Uzbekistan | 34 551 503 | 1 637 | 0.047‰ |
202 | Africa | GH | Ghana | 32 520 343 | 1 459 | 0.045‰ |
203 | Australia/Oceania | VU | Vanuatu | 323 162 | 14 | 0.043‰ |
204 | North America | NI | Nicaragua | 6 800 402 | 244 | 0.036‰ |
205 | Africa | ML | Mali | 21 552 636 | 739 | 0.034‰ |
206 | Africa | TG | Togo | 8 711 726 | 284 | 0.033‰ |
207 | Africa | GN | Guinea | 13 927 802 | 449 | 0.032‰ |
208 | Africa | CI | Ivory Coast | 27 836 009 | 822 | 0.029‰ |
209 | Africa | ER | Eritrea | 3 655 937 | 103 | 0.028‰ |
210 | Asia | BT | Bhutan | 790 564 | 21 | 0.027‰ |
211 | Africa | CF | Central African R. | 5 017 145 | 113 | 0.022‰ |
212 | Africa | BF | Burkina Faso | 22 182 502 | 387 | 0.017‰ |
213 | Africa | SL | Sierra Leone | 8 338 976 | 125 | 0.015‰ |
214 | Africa | CD | DR Congo | 95 638 591 | 1 422 | 0.015‰ |
215 | Africa | NG | Nigeria | 217 541 658 | 3 154 | 0.015‰ |
216 | Africa | TZ | Tanzania | 63 531 541 | 845 | 0.013‰ |
217 | Africa | BJ | Benin | 12 831 863 | 163 | 0.013‰ |
218 | Africa | SS | South Sudan | 11 486 528 | 138 | 0.012‰ |
219 | Africa | NE | Niger | 26 162 650 | 312 | 0.012‰ |
220 | Africa | TD | Chad | 17 477 819 | 193 | 0.011‰ |
221 | Africa | BI | Burundi | 12 681 192 | 15 | 0.001‰ |
222 | Asia | PS | Palestine | 5 366 059 | 3 | 0.001‰ |
223 | Asia | CN | China | 1 439 323 776 | 0 | 0.000‰ |
224 | South America | FK | Falkland Islands | 3 706 | 0 | 0.000‰ |
225 | Asia | KP | North Korea | 25 660 000 | 0 | 0.000‰ |
226 | Australia/Oceania | NU | Niue | 1 651 | 0 | 0.000‰ |
227 | Australia/Oceania | PN | Pitcairn Islands | 50 | 0 | 0.000‰ |
228 | Asia | TJ | Tajikistan | 10 015 701 | 0 | 0.000‰ |
229 | Australia/Oceania | TK | Tokelau | 1 499 | 0 | 0.000‰ |
230 | Europe | TM | Turkmenistan | 6 118 000 | 0 | 0.000‰ |
231 | Australia/Oceania | TV | Tuvalu | 12 117 | 0 | 0.000‰ |
232 | Europe | VA | Vatican City | 805 | 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"