COVID-19, Relative by Population
The following tables show the spread of COVID-19 for a percentage of the population.
The New Cases percentage of "Last 120 days" means that the percentage of people in the skin has become infected.
The percentage for the "Last 30 to 7 days" shows the percentage of the population that would still become infected in 120 days according to the growth rate.
The Relative Mortality rates from last positive cases are also in percentages (with 7-day shift).
This means relative percentage of patients (with 7-day shift) die from COVID-19 infection. [1]
An exact description of the calculations can be found at the bottom of this page.
The Total Mortality is the ratio of total deaths in COVID-19 to population.
COVID-19 World map by Johns Hopkins University.
Last actualisation
from "WHO" and
"WorldoMeter": 2021-02-28 17:05
(For some countries, the data from the WHO and from "Our World in Data by Johns Hopkins University" and from "WorldoMeter" are completely different, such as: Israel.)
What can help, is at the bottom of this page.
I recommend searching here "Global literature on coronavirus disease"
or here "Google Scholar".
COVID-19, Selected Countries by WorldoMeter
Our World in Data, (2 days late data visualization) [CASES], [DEATHS], [VACCINATION]CD | Country | New Cases | New Deaths |
---|---|---|---|
AT | Austria | +2123 (+2457) | +23 (+23) |
CZ | Czechia | +7798 (+14751) | +84 (+148) |
DE | Germany | +1700 (+7671) | +36 (+168) |
HU | Hungary | +4469 (+4948) | +72 (+107) |
SK | Slovakia, [*] | +1815 (+2848) | +114 (+109) |
COVID-19, New Cases in Regions (incidence rate)
N. | Region | Population | Last 120 days | Last 30 days | Last 7 days |
---|---|---|---|---|---|
1 | Europe | 755 937091 | 3.78% | 2.72% | 2.85% |
2 | North America | 591 721924 | 1.31% | 1.48% | 1.66% |
3 | South America | 436 349833 | 1.23% | 1.32% | 1.24% |
4 | Asia | 4 656 818187 | 0.88% | 0.82% | 0.86% |
5 | Africa | 1 360 945171 | 0.36% | 0.57% | 0.44% |
6 | Australia/Oceania | 43 127896 | 0.25% | 0.05% | 0.02% |
COVID-19, Relative Mortality rate from positive cases in Regions
N. | Region | Population | Mortality last 120 days | Mortality last 30 days | New positive cases last 30 days |
---|---|---|---|---|---|
1 | Asia | 4 656 818187 | 2.06% | 3.44% | 0.82% |
2 | Europe | 755 937091 | 1.87% | 3.18% | 2.72% |
3 | Africa | 1 360 945171 | 1.91% | 3.12% | 0.57% |
4 | South America | 436 349833 | 1.74% | 2.53% | 1.32% |
5 | North America | 591 721924 | 1.25% | 1.99% | 1.48% |
6 | Australia/Oceania | 43 127896 | 0.32% | 0.67% | 0.05% |
COVID-19, Total Mortality from population of Regions
N. | Region | Population | Deaths | 1000*Deaths/Pop. |
---|---|---|---|---|
1 | North America | 591 721924 | 737168 | 1.246‰ |
2 | Europe | 755 937091 | 811667 | 1.074‰ |
3 | South America | 436 349833 | 465751 | 1.067‰ |
4 | Asia | 4 656 818187 | 391441 | 0.084‰ |
5 | Africa | 1 360 945171 | 103563 | 0.076‰ |
6 | Australia/Oceania | 43 127896 | 1218 | 0.028‰ |
COVID-19, New Cases in Countries
Filtered where Population more then 2 million, [All Countries] | Compare with [CASES]N. | Region | CD | Country | Population | Last 120 days | Last 30 days | Last 7 days |
---|---|---|---|---|---|---|---|
1 | Europe | CZ | Czechia | 10 722114 | 8.50% | 9.80% | 13.15% |
2 | Europe | SK | Slovakia | 5 461391 | 4.69% | 4.74% | 5.00% |
3 | Asia | LB | Lebanon | 6 805183 | 4.31% | 4.68% | 4.89% |
4 | Asia | JO | Jordan | 10 269828 | 3.11% | 2.51% | 4.79% |
5 | Asia | IL | Israel | 9 197590 | 5.00% | 6.11% | 4.55% |
6 | Europe | HU | Hungary | 9 644104 | 3.66% | 2.64% | 4.55% |
7 | Europe | SE | Sweden | 10 140806 | 5.28% | 3.82% | 4.42% |
8 | Europe | RS | Serbia | 8 714045 | 4.72% | 3.00% | 4.31% |
9 | Europe | AL | Albania | 2 875717 | 2.98% | 4.28% | 4.26% |
10 | Europe | FR | France | 65 368972 | 3.63% | 3.62% | 3.93% |
11 | Asia | AE | Arab Emirates | 9 968996 | 2.57% | 3.81% | 3.43% |
12 | Europe | MD | Moldova | 4 027754 | 2.70% | 2.54% | 3.27% |
13 | Europe | SI | Slovenia | 2 079127 | 7.49% | 4.78% | 3.26% |
14 | Europe | NL | Netherlands | 17 159930 | 4.33% | 2.75% | 3.19% |
15 | Europe | IT | Italy | 60 402967 | 3.74% | 2.59% | 3.14% |
16 | Europe | PL | Poland | 37 819173 | 3.61% | 2.16% | 3.09% |
17 | South America | BR | Brazil | 213 555702 | 2.32% | 2.72% | 2.96% |
18 | Asia | KW | Kuwait | 4 312050 | 1.50% | 2.45% | 2.61% |
19 | Europe | AT | Austria | 9 040305 | 3.89% | 2.06% | 2.55% |
20 | Europe | BG | Bulgaria | 6 913724 | 2.83% | 1.69% | 2.55% |
21 | South America | UY | Uruguay | 3 481682 | 1.54% | 1.97% | 2.53% |
22 | Europe | MK | North Macedonia | 2 083317 | 3.44% | 1.95% | 2.50% |
23 | South America | PE | Peru | 33 273645 | 1.26% | 2.43% | 2.41% |
24 | Europe | LT | Lithuania | 2 697008 | 6.80% | 2.55% | 2.40% |
25 | South America | CL | Chile | 19 224319 | 1.63% | 2.23% | 2.26% |
26 | North America | US | USA | 332 283263 | 5.79% | 3.31% | 2.07% |
27 | Europe | BE | Belgium | 11 622926 | 2.81% | 2.14% | 2.05% |
28 | Asia | QA | Qatar | 2 807805 | 1.10% | 1.84% | 1.98% |
29 | Europe | RO | Romania | 19 152536 | 2.94% | 1.61% | 1.90% |
30 | South America | AR | Argentina | 45 468950 | 2.11% | 1.83% | 1.87% |
31 | North America | PA | Panama | 4 359353 | 4.77% | 2.26% | 1.85% |
32 | Europe | BA | Bosnia and Herzegovina | 3 267281 | 2.58% | 1.24% | 1.81% |
33 | South America | PY | Paraguay | 7 190156 | 1.32% | 1.50% | 1.77% |
34 | Europe | GR | Greece | 10 389297 | 1.47% | 1.33% | 1.74% |
35 | Europe | UA | Ukraine | 43 559469 | 2.20% | 1.25% | 1.71% |
36 | Europe | GB | United Kingdom | 68 121360 | 4.67% | 2.51% | 1.63% |
37 | Europe | BY | Belarus | 9 447266 | 1.99% | 1.82% | 1.61% |
38 | Europe | IE | Ireland | 4 974080 | 3.17% | 2.04% | 1.59% |
39 | Africa | BW | Botswana | 2 382720 | 0.91% | 1.29% | 1.33% |
40 | Europe | HR | Croatia | 4 088472 | 4.80% | 1.12% | 1.27% |
41 | Asia | TR | Turkey | 84 936363 | 1.98% | 1.11% | 1.24% |
42 | Europe | PT | Portugal | 10 177013 | 6.55% | 4.64% | 1.21% |
43 | Europe | FI | Finland | 5 546411 | 0.74% | 0.94% | 1.16% |
44 | Asia | IR | Iran | 84 699762 | 1.20% | 1.06% | 1.16% |
45 | North America | JM | Jamaica | 2 969701 | 0.47% | 1.01% | 1.15% |
46 | Asia | IQ | Iraq | 40 812799 | 0.54% | 0.73% | 1.14% |
47 | Europe | ES | Spain | 46 766757 | 4.10% | 3.40% | 1.12% |
48 | Europe | DK | Denmark | 5 805675 | 2.85% | 0.93% | 1.06% |
49 | Asia | GE | Georgia | 3 984097 | 5.82% | 1.39% | 1.03% |
50 | Europe | DE | Germany | 83 960923 | 2.28% | 1.16% | 1.01% |
51 | Africa | LY | Libya | 6 932697 | 1.05% | 0.96% | 0.99% |
52 | Asia | OM | Oman | 5 191423 | 0.52% | 0.60% | 0.99% |
53 | South America | BO | Bolivia | 11 777661 | 0.90% | 1.34% | 0.99% |
54 | Europe | CH | Switzerland | 8 696351 | 4.38% | 1.51% | 0.99% |
55 | Asia | AM | Armenia | 2 966904 | 2.80% | 0.72% | 0.96% |
56 | Europe | RU | Russia | 145 975854 | 1.80% | 1.19% | 0.95% |
57 | Asia | MY | Malaysia | 32 638635 | 0.82% | 1.23% | 0.95% |
58 | South America | EC | Ecuador | 17 818969 | 0.65% | 0.83% | 0.94% |
59 | South America | CO | Colombia | 51 239855 | 2.33% | 1.48% | 0.92% |
60 | North America | CR | Costa Rica | 5 124759 | 1.90% | 0.98% | 0.89% |
61 | Africa | NA | Namibia | 2 571072 | 1.00% | 0.81% | 0.89% |
62 | North America | HN | Honduras | 10 008004 | 0.73% | 1.00% | 0.86% |
63 | North America | CU | Cuba | 11 322041 | 0.37% | 0.88% | 0.84% |
64 | North America | CA | Canada | 37 960170 | 1.66% | 1.03% | 0.84% |
65 | Africa | GA | Gabon | 2 260059 | 0.25% | 0.71% | 0.77% |
66 | Africa | TN | Tunisia | 11 900023 | 1.45% | 0.95% | 0.72% |
67 | South America | PR | Puerto Rico | 3 193694 | 1.10% | 0.96% | 0.70% |
68 | North America | DO | Dominican R. | 10 919533 | 1.03% | 1.11% | 0.68% |
69 | Europe | NO | Norway | 5 449182 | 0.93% | 0.60% | 0.63% |
70 | North America | MX | Mexico | 129 824421 | 0.90% | 0.83% | 0.61% |
71 | Asia | PS | Palestine | 5 178937 | 0.03% | 0.13% | 0.56% |
72 | Asia | KZ | Kazakhstan | 18 924434 | 0.58% | 0.61% | 0.36% |
73 | Asia | ID | Indonesia | 275 427405 | 0.33% | 0.42% | 0.35% |
74 | North America | SV | El Salvador | 6 507806 | 0.41% | 0.36% | 0.35% |
75 | Africa | ZM | Zambia | 18 719620 | 0.33% | 0.58% | 0.33% |
76 | North America | GT | Guatemala | 18 132786 | 0.37% | 0.36% | 0.29% |
77 | Africa | ZA | South Africa | 59 800365 | 1.32% | 0.50% | 0.28% |
78 | Asia | LK | Sri Lanka | 21 472533 | 0.34% | 0.39% | 0.25% |
79 | Asia | PH | Philippines | 110 539720 | 0.18% | 0.19% | 0.22% |
80 | Asia | AZ | Azerbaijan | 10 199379 | 1.77% | 0.18% | 0.22% |
81 | Africa | MZ | Mozambique | 31 826331 | 0.14% | 0.29% | 0.21% |
82 | South America | VE | Venezuela | 28 382567 | 0.17% | 0.19% | 0.19% |
83 | Africa | GH | Ghana | 31 497512 | 0.11% | 0.25% | 0.19% |
84 | Africa | SN | Senegal | 17 031867 | 0.11% | 0.20% | 0.17% |
85 | Africa | SS | South Sudan | 11 280056 | 0.04% | 0.13% | 0.16% |
86 | Asia | MN | Mongolia | 3 312938 | 0.08% | 0.14% | 0.15% |
87 | Africa | CG | Congo | 5 606808 | 0.06% | 0.07% | 0.12% |
88 | Africa | TG | Togo | 8 405551 | 0.05% | 0.09% | 0.12% |
89 | Asia | IN | India | 1 388 938259 | 0.21% | 0.11% | 0.12% |
90 | Africa | SO | Somalia | 16 182323 | 0.02% | 0.05% | 0.12% |
91 | Asia | SA | Saudi Arabia | 35 169802 | 0.09% | 0.11% | 0.11% |
92 | Africa | MA | Morocco | 37 198337 | 0.72% | 0.15% | 0.11% |
93 | Africa | MW | Malawi | 19 452627 | 0.13% | 0.20% | 0.11% |
94 | Africa | GM | Gambia | 2 460929 | 0.04% | 0.11% | 0.11% |
95 | Africa | RW | Rwanda | 13 161924 | 0.10% | 0.13% | 0.10% |
96 | Asia | JP | Japan | 126 219952 | 0.26% | 0.17% | 0.10% |
97 | Asia | KR | South Korea | 51 298365 | 0.12% | 0.10% | 0.09% |
98 | Asia | KG | Kyrgyzstan | 6 594823 | 0.41% | 0.11% | 0.09% |
99 | Africa | ET | Ethiopia | 116 823553 | 0.05% | 0.07% | 0.08% |
100 | Africa | ER | Eritrea | 3 578673 | 0.07% | 0.09% | 0.08% |
101 | Africa | GN | Guinea | 13 365153 | 0.03% | 0.04% | 0.08% |
102 | Africa | EG | Egypt | 103 599236 | 0.07% | 0.07% | 0.07% |
103 | Africa | CM | Cameroon | 26 977430 | 0.04% | 0.06% | 0.07% |
104 | Africa | BJ | Benin | 12 330435 | 0.02% | 0.06% | 0.07% |
105 | Asia | PK | Pakistan | 223 702202 | 0.11% | 0.07% | 0.07% |
106 | Australia/Oceania | PG | Papua New Guinea | 9 058082 | 0.01% | 0.02% | 0.05% |
107 | Africa | DZ | Algeria | 44 370173 | 0.13% | 0.06% | 0.05% |
108 | Africa | KE | Kenya | 54 546107 | 0.09% | 0.04% | 0.04% |
109 | Africa | CI | Ivory Coast | 26 804918 | 0.04% | 0.07% | 0.04% |
110 | Asia | NP | Nepal | 29 480392 | 0.36% | 0.05% | 0.04% |
111 | Asia | SY | Syria | 17 778410 | 0.06% | 0.04% | 0.04% |
112 | Africa | MR | Mauritania | 4 729416 | 0.20% | 0.06% | 0.04% |
113 | Africa | NG | Nigeria | 209 476657 | 0.04% | 0.05% | 0.03% |
114 | Asia | BD | Bangladesh | 165 769700 | 0.08% | 0.03% | 0.03% |
115 | Asia | KH | Cambodia | 16 871005 | 0.00% | 0.01% | 0.03% |
116 | Africa | ZW | Zimbabwe | 15 005040 | 0.18% | 0.09% | 0.03% |
117 | Africa | BI | Burundi | 12 121435 | 0.01% | 0.02% | 0.03% |
118 | North America | HT | Haiti | 11 493946 | 0.03% | 0.04% | 0.03% |
119 | Asia | SG | Singapore | 5 880669 | 0.03% | 0.03% | 0.02% |
120 | Africa | BF | Burkina Faso | 21 277090 | 0.04% | 0.03% | 0.02% |
121 | Africa | TD | Chad | 16 733036 | 0.01% | 0.02% | 0.02% |
122 | Africa | AO | Angola | 33 531626 | 0.03% | 0.01% | 0.01% |
123 | Asia | TH | Thailand | 69 915721 | 0.03% | 0.05% | 0.01% |
124 | Africa | MG | Madagascar | 28 155738 | 0.01% | 0.02% | 0.01% |
125 | Asia | UZ | Uzbekistan | 33 787823 | 0.04% | 0.02% | 0.01% |
126 | Africa | LS | Lesotho | 2 153442 | 0.40% | 0.43% | 0.01% |
127 | Australia/Oceania | NZ | New Zealand | 5 002100 | 0.01% | 0.01% | 0.01% |
128 | North America | NI | Nicaragua | 6 676396 | 0.01% | 0.01% | 0.01% |
129 | Africa | SL | Sierra Leone | 8 083200 | 0.02% | 0.03% | 0.01% |
130 | Asia | YE | Yemen | 30 255680 | 0.00% | 0.00% | 0.01% |
131 | Africa | LR | Liberia | 5 135380 | 0.01% | 0.01% | 0.01% |
132 | Africa | ML | Mali | 20 630936 | 0.02% | 0.01% | 0.01% |
133 | Africa | SD | Sudan | 44 518501 | 0.04% | 0.01% | 0.01% |
134 | Africa | UG | Uganda | 46 680861 | 0.06% | 0.01% | 0.01% |
135 | Asia | AF | Afghanistan | 39 501697 | 0.04% | 0.01% | 0.01% |
136 | Asia | HK | Hong Kong | 7 537066 | 0.00% | 0.00% | 0.01% |
137 | Asia | MM | Myanmar | 54 650356 | 0.17% | 0.02% | 0.01% |
138 | Australia/Oceania | AU | Australia | 25 694525 | 0.01% | 0.00% | 0.00% |
139 | Africa | CD | DR Congo | 91 334147 | 0.02% | 0.01% | 0.00% |
140 | Asia | VN | Vietnam | 97 915519 | 0.00% | 0.00% | 0.00% |
141 | Africa | NE | Niger | 24 775222 | 0.01% | 0.00% | 0.00% |
142 | Asia | TW | Taiwan | 23 845271 | 0.00% | 0.00% | 0.00% |
143 | Africa | TZ | Tanzania | 60 843179 | 0.00% | 0.00% | 0.00% |
144 | Asia | KP | North Korea | 25 660000 | 0.00% | 0.00% | 0.00% |
145 | Europe | TM | Turkmenistan | 6 118000 | 0.00% | 0.00% | 0.00% |
146 | Asia | TJ | Tajikistan | 9 677747 | 0.00% | 0.00% | 0.00% |
147 | Asia | CN | China | 1 439 323776 | 0.00% | 0.00% | 0.00% |
148 | Africa | CF | Central African R. | 4 884840 | 0.00% | 0.00% | 0.00% |
149 | Asia | LA | Laos | 7 344908 | 0.00% | 0.00% | 0.00% |
COVID-19, Relative Mortality rate from positive cases in Countries
Filtered where Population more then 2 million, [All Countries] | Compare with [DEATHS]! and with [FATALITY RATE]N. | Region | CD | Country | Population | Mortality last 120 days | Mortality last 30 days | New positive cases last 30 days |
---|---|---|---|---|---|---|---|
1 | Asia | YE | Yemen | 30 255680 | 35.05% | (42.86)% | (0.00)% |
2 | Asia | NP | Nepal | 29 480392 | 1.54% | (15.98)% | (0.05)% |
3 | North America | MX | Mexico | 129 824421 | 8.10% | 9.03% | 0.83% |
4 | Africa | SO | Somalia | 16 182323 | 6.38% | (8.82)% | (0.05)% |
5 | Africa | EG | Egypt | 103 599236 | 6.14% | (8.25)% | (0.07)% |
6 | Asia | SY | Syria | 17 778410 | 7.51% | (6.70)% | (0.04)% |
7 | Africa | ML | Mali | 20 630936 | 4.45% | (6.04)% | (0.01)% |
8 | Europe | HU | Hungary | 9 644104 | 3.81% | 5.65% | 2.64% |
9 | Africa | ZA | South Africa | 59 800365 | 3.89% | 5.62% | 0.50% |
10 | Europe | BG | Bulgaria | 6 913724 | 4.46% | 5.29% | 1.69% |
11 | Africa | ZW | Zimbabwe | 15 005040 | 4.42% | (5.21)% | (0.09)% |
12 | Africa | SD | Sudan | 44 518501 | 6.34% | (5.19)% | (0.01)% |
13 | Europe | DE | Germany | 83 960923 | 3.02% | 5.06% | 1.16% |
14 | Europe | BA | Bosnia and Herzegovina | 3 267281 | 4.31% | 4.85% | 1.24% |
15 | Europe | HR | Croatia | 4 088472 | 2.40% | 4.63% | 1.12% |
16 | Europe | SK | Slovakia | 5 461391 | 2.72% | 4.56% | 4.74% |
17 | North America | GT | Guatemala | 18 132786 | 3.96% | 4.45% | 0.36% |
18 | North America | SV | El Salvador | 6 507806 | 3.36% | 4.04% | 0.36% |
19 | Asia | AF | Afghanistan | 39 501697 | 6.11% | (4.01)% | (0.01)% |
20 | Europe | PL | Poland | 37 819173 | 2.72% | 4.01% | 2.16% |
21 | Africa | NE | Niger | 24 775222 | 2.93% | (3.99)% | (0.00)% |
22 | Africa | TN | Tunisia | 11 900023 | 3.76% | 3.99% | 0.95% |
23 | Africa | LS | Lesotho | 2 153442 | 2.92% | 3.86% | 0.43% |
24 | Europe | IE | Ireland | 4 974080 | 1.51% | 3.53% | 2.04% |
25 | Europe | GB | United Kingdom | 68 121360 | 2.34% | 3.48% | 2.51% |
26 | Africa | GM | Gambia | 2 460929 | 3.29% | 3.39% | 0.11% |
27 | Asia | PH | Philippines | 110 539720 | 2.63% | 3.34% | 0.19% |
28 | Asia | TW | Taiwan | 23 845271 | 0.51% | (3.28)% | (0.00)% |
29 | Asia | JP | Japan | 126 219952 | 1.86% | 3.28% | 0.17% |
30 | Europe | MK | North Macedonia | 2 083317 | 2.94% | 3.25% | 1.95% |
31 | Africa | AO | Angola | 33 531626 | 1.95% | (3.18)% | (0.01)% |
32 | Asia | PK | Pakistan | 223 702202 | 2.48% | (3.07)% | (0.07)% |
33 | South America | PE | Peru | 33 273645 | 3.01% | 3.06% | 2.43% |
34 | South America | BO | Bolivia | 11 777661 | 2.88% | 3.04% | 1.34% |
35 | Europe | RO | Romania | 19 152536 | 2.33% | 2.98% | 1.61% |
36 | Europe | UA | Ukraine | 43 559469 | 1.94% | 2.88% | 1.25% |
37 | Africa | TD | Chad | 16 733036 | 1.73% | (2.88)% | (0.02)% |
38 | Africa | SN | Senegal | 17 031867 | 3.16% | 2.87% | 0.20% |
39 | Europe | RU | Russia | 145 975854 | 2.18% | 2.86% | 1.19% |
40 | Africa | MW | Malawi | 19 452627 | 3.48% | 2.85% | 0.20% |
41 | Europe | IT | Italy | 60 402967 | 2.56% | 2.73% | 2.59% |
42 | South America | CO | Colombia | 51 239855 | 2.33% | 2.70% | 1.48% |
43 | South America | EC | Ecuador | 17 818969 | 2.66% | 2.63% | 0.83% |
44 | Asia | AM | Armenia | 2 966904 | 1.94% | 2.62% | 0.72% |
45 | North America | NI | Nicaragua | 6 676396 | 2.28% | (2.61)% | (0.01)% |
46 | Europe | GR | Greece | 10 389297 | 3.91% | 2.58% | 1.33% |
47 | Asia | KG | Kyrgyzstan | 6 594823 | 1.04% | 2.52% | 0.11% |
48 | Asia | BD | Bangladesh | 165 769700 | 1.70% | (2.48)% | (0.03)% |
49 | Europe | LT | Lithuania | 2 697008 | 1.67% | 2.47% | 2.55% |
50 | Asia | LB | Lebanon | 6 805183 | 1.41% | 2.41% | 4.68% |
51 | Europe | MD | Moldova | 4 027754 | 2.04% | 2.38% | 2.54% |
52 | Africa | BW | Botswana | 2 382720 | 1.37% | 2.36% | 1.29% |
53 | Europe | PT | Portugal | 10 177013 | 2.02% | 2.32% | 4.64% |
54 | North America | US | USA | 332 283263 | 1.43% | 2.27% | 3.31% |
55 | Africa | MA | Morocco | 37 198337 | 1.72% | 2.27% | 0.15% |
56 | South America | PR | Puerto Rico | 3 193694 | 3.05% | 2.26% | 0.96% |
57 | South America | BR | Brazil | 213 555702 | 1.97% | 2.26% | 2.72% |
58 | North America | HN | Honduras | 10 008004 | 2.01% | 2.25% | 1.00% |
59 | Asia | GE | Georgia | 3 984097 | 1.32% | 2.21% | 1.39% |
60 | Africa | KE | Kenya | 54 546107 | 1.55% | (2.20)% | (0.04)% |
61 | Asia | AZ | Azerbaijan | 10 199379 | 1.35% | 2.16% | 0.18% |
62 | Africa | MR | Mauritania | 4 729416 | 2.94% | (2.11)% | (0.06)% |
63 | South America | CL | Chile | 19 224319 | 2.13% | 2.10% | 2.23% |
64 | Asia | ID | Indonesia | 275 427405 | 2.49% | 2.08% | 0.42% |
65 | North America | PA | Panama | 4 359353 | 1.51% | 2.04% | 2.26% |
66 | North America | CA | Canada | 37 960170 | 1.87% | 2.04% | 1.03% |
67 | South America | AR | Argentina | 45 468950 | 2.15% | 2.02% | 1.83% |
68 | Africa | LY | Libya | 6 932697 | 1.75% | 1.97% | 0.96% |
69 | Europe | FR | France | 65 368972 | 1.98% | 1.97% | 3.62% |
70 | Europe | AT | Austria | 9 040305 | 2.02% | 1.95% | 2.06% |
71 | Europe | DK | Denmark | 5 805675 | 0.97% | 1.92% | 0.93% |
72 | South America | PY | Paraguay | 7 190156 | 1.93% | 1.91% | 1.50% |
73 | Europe | CZ | Czechia | 10 722114 | 1.88% | 1.84% | 9.80% |
74 | Africa | CG | Congo | 5 606808 | 1.10% | 1.76% | 0.07% |
75 | Asia | MM | Myanmar | 54 650356 | 1.99% | 1.71% | 0.02% |
76 | Australia/Oceania | PG | Papua New Guinea | 9 058082 | 1.12% | 1.62% | 0.02% |
77 | Asia | KR | South Korea | 51 298365 | 1.86% | 1.60% | 0.10% |
78 | North America | CR | Costa Rica | 5 124759 | 1.43% | 1.59% | 0.98% |
79 | Europe | BE | Belgium | 11 622926 | 2.47% | 1.57% | 2.14% |
80 | Africa | NA | Namibia | 2 571072 | 1.17% | 1.56% | 0.81% |
81 | Europe | AL | Albania | 2 875717 | 1.58% | 1.46% | 4.28% |
82 | Europe | NL | Netherlands | 17 159930 | 1.05% | 1.44% | 2.75% |
83 | Europe | ES | Spain | 46 766757 | 1.49% | 1.43% | 3.40% |
84 | Africa | DZ | Algeria | 44 370173 | 1.83% | 1.42% | 0.06% |
85 | Africa | BJ | Benin | 12 330435 | 1.12% | 1.41% | 0.06% |
86 | North America | DO | Dominican R. | 10 919533 | 0.76% | 1.40% | 1.11% |
87 | Africa | MG | Madagascar | 28 155738 | 1.90% | 1.39% | 0.02% |
88 | Asia | SA | Saudi Arabia | 35 169802 | 3.62% | 1.38% | 0.11% |
89 | Africa | RW | Rwanda | 13 161924 | 1.75% | 1.34% | 0.13% |
90 | Australia/Oceania | NZ | New Zealand | 5 002100 | 0.24% | 1.33% | 0.01% |
91 | Asia | TR | Turkey | 84 936363 | 1.09% | 1.32% | 1.11% |
92 | Africa | CM | Cameroon | 26 977430 | 0.87% | 1.31% | 0.06% |
93 | South America | VE | Venezuela | 28 382567 | 1.17% | 1.28% | 0.19% |
94 | Africa | ET | Ethiopia | 116 823553 | 1.46% | 1.28% | 0.07% |
95 | North America | JM | Jamaica | 2 969701 | 1.73% | 1.16% | 1.01% |
96 | Africa | LR | Liberia | 5 135380 | 0.50% | 1.15% | 0.01% |
97 | Africa | ZM | Zambia | 18 719620 | 1.25% | 1.15% | 0.58% |
98 | Africa | UG | Uganda | 46 680861 | 0.77% | 1.15% | 0.01% |
99 | Africa | MZ | Mozambique | 31 826331 | 1.25% | 1.15% | 0.29% |
100 | Europe | CH | Switzerland | 8 696351 | 1.62% | 1.14% | 1.51% |
101 | South America | UY | Uruguay | 3 481682 | 1.11% | 1.11% | 1.97% |
102 | Europe | SI | Slovenia | 2 079127 | 2.26% | 1.08% | 4.78% |
103 | Asia | IR | Iran | 84 699762 | 2.53% | 1.07% | 1.06% |
104 | Africa | BF | Burkina Faso | 21 277090 | 0.80% | 1.07% | 0.03% |
105 | Africa | GH | Ghana | 31 497512 | 0.87% | 1.04% | 0.25% |
106 | Africa | NG | Nigeria | 209 476657 | 0.85% | 1.03% | 0.05% |
107 | Asia | JO | Jordan | 10 269828 | 1.26% | 0.98% | 2.51% |
108 | Africa | CD | DR Congo | 91 334147 | 2.82% | 0.95% | 0.01% |
109 | Europe | SE | Sweden | 10 140806 | 1.31% | 0.89% | 3.82% |
110 | Africa | SS | South Sudan | 11 280056 | 0.82% | 0.87% | 0.13% |
111 | Europe | RS | Serbia | 8 714045 | 0.91% | 0.84% | 3.00% |
112 | Asia | IN | India | 1 388 938259 | 1.11% | 0.81% | 0.11% |
113 | Europe | NO | Norway | 5 449182 | 0.67% | 0.79% | 0.60% |
114 | Asia | KZ | Kazakhstan | 18 924434 | 1.00% | 0.78% | 0.61% |
115 | Asia | OM | Oman | 5 191423 | 1.36% | 0.72% | 0.60% |
116 | Asia | LK | Sri Lanka | 21 472533 | 0.62% | 0.71% | 0.39% |
117 | Asia | IQ | Iraq | 40 812799 | 1.15% | 0.68% | 0.73% |
118 | Europe | FI | Finland | 5 546411 | 0.99% | 0.67% | 0.94% |
119 | Africa | CI | Ivory Coast | 26 804918 | 0.59% | 0.67% | 0.07% |
120 | Asia | IL | Israel | 9 197590 | 0.72% | 0.64% | 6.11% |
121 | Europe | BY | Belarus | 9 447266 | 0.53% | 0.62% | 1.82% |
122 | Africa | GN | Guinea | 13 365153 | 0.47% | 0.56% | 0.04% |
123 | Asia | KW | Kuwait | 4 312050 | 0.48% | 0.51% | 2.45% |
124 | North America | CU | Cuba | 11 322041 | 0.51% | 0.46% | 0.88% |
125 | North America | HT | Haiti | 11 493946 | 0.55% | 0.46% | 0.04% |
126 | Africa | GA | Gabon | 2 260059 | 0.60% | 0.44% | 0.71% |
127 | Africa | TG | Togo | 8 405551 | 0.68% | 0.40% | 0.09% |
128 | Asia | AE | Arab Emirates | 9 968996 | 0.29% | 0.38% | 3.81% |
129 | Asia | MY | Malaysia | 32 638635 | 0.34% | 0.37% | 1.23% |
130 | Africa | SL | Sierra Leone | 8 083200 | 0.33% | 0.26% | 0.03% |
131 | Africa | BI | Burundi | 12 121435 | 0.14% | 0.16% | 0.02% |
132 | Asia | QA | Qatar | 2 807805 | 0.09% | 0.09% | 1.84% |
133 | Asia | UZ | Uzbekistan | 33 787823 | 0.39% | 0.07% | 0.02% |
134 | Asia | TH | Thailand | 69 915721 | 0.11% | 0.06% | 0.05% |
135 | Asia | MN | Mongolia | 3 312938 | 0.09% | 0.00% | 0.14% |
136 | Africa | ER | Eritrea | 3 578673 | 0.31% | 0.00% | 0.09% |
137 | Asia | SG | Singapore | 5 880669 | 0.05% | 0.00% | 0.03% |
138 | Asia | KH | Cambodia | 16 871005 | 0.00% | 0.00% | 0.01% |
139 | Asia | VN | Vietnam | 97 915519 | 0.00% | 0.00% | 0.00% |
140 | Australia/Oceania | AU | Australia | 25 694525 | 0.14% | 0.00% | 0.00% |
141 | Africa | CF | Central African R. | 4 884840 | 0.75% | 0.00% | 0.00% |
142 | Asia | LA | Laos | 7 344908 | 0.00% | 0.00% | 0.00% |
143 | Asia | PS | Palestine | 5 178937 | 0.00% | 0.00% | 0.13% |
144 | Asia | KP | North Korea | 25 660000 | 0.00% | 0.00% | 0.00% |
145 | Africa | TZ | Tanzania | 60 843179 | 0.00% | 0.00% | 0.00% |
146 | Europe | TM | Turkmenistan | 6 118000 | 0.00% | 0.00% | 0.00% |
147 | Asia | TJ | Tajikistan | 9 677747 | 0.00% | 0.00% | 0.00% |
148 | Asia | CN | China | 1 439 323776 | 0.00% | 0.00% | 0.00% |
149 | Asia | HK | Hong Kong | 7 537066 | 0.00% | 0.00% | 0.00% |
COVID-19, Total Mortality rate (from population) in Countries
Filtered where Population more then 2 million, [All Countries] | Compare with [DEATHS] ! and with [CUMULATIVE DEATHS]N. | Region | CD | Country | Population | Deaths | 1000*Deaths/Pop. |
---|---|---|---|---|---|---|
1 | Europe | SI | Slovenia | 2 079127 | 4087 | 1.966‰ |
2 | Europe | BE | Belgium | 11 622926 | 22052 | 1.897‰ |
3 | Europe | CZ | Czechia | 10 722114 | 20278 | 1.891‰ |
4 | Europe | GB | United Kingdom | 68 121360 | 122705 | 1.801‰ |
5 | Europe | IT | Italy | 60 402967 | 97419 | 1.613‰ |
6 | Europe | PT | Portugal | 10 177013 | 16284 | 1.600‰ |
7 | Europe | HU | Hungary | 9 644104 | 14974 | 1.553‰ |
8 | Europe | BA | Bosnia and Herzegovina | 3 267281 | 5071 | 1.552‰ |
9 | North America | US | USA | 332 283263 | 504675 | 1.519‰ |
10 | Europe | MK | North Macedonia | 2 083317 | 3130 | 1.502‰ |
11 | Europe | ES | Spain | 46 766757 | 68813 | 1.471‰ |
12 | Europe | BG | Bulgaria | 6 913724 | 10167 | 1.471‰ |
13 | North America | MX | Mexico | 129 824421 | 184475 | 1.421‰ |
14 | South America | PE | Peru | 33 273645 | 46108 | 1.386‰ |
15 | Europe | HR | Croatia | 4 088472 | 5526 | 1.352‰ |
16 | North America | PA | Panama | 4 359353 | 5821 | 1.335‰ |
17 | Europe | SK | Slovakia | 5 461391 | 7189 | 1.316‰ |
18 | Europe | FR | France | 65 368972 | 85872 | 1.314‰ |
19 | Europe | SE | Sweden | 10 140806 | 12826 | 1.265‰ |
20 | Europe | LT | Lithuania | 2 697008 | 3234 | 1.199‰ |
21 | South America | BR | Brazil | 213 555702 | 252773 | 1.184‰ |
22 | South America | CO | Colombia | 51 239855 | 59538 | 1.162‰ |
23 | Europe | PL | Poland | 37 819173 | 43770 | 1.157‰ |
24 | South America | AR | Argentina | 45 468950 | 51946 | 1.142‰ |
25 | Asia | AM | Armenia | 2 966904 | 3192 | 1.076‰ |
26 | South America | CL | Chile | 19 224319 | 20496 | 1.066‰ |
27 | Europe | CH | Switzerland | 8 696351 | 9224 | 1.061‰ |
28 | Europe | RO | Romania | 19 152536 | 20296 | 1.060‰ |
29 | South America | BO | Bolivia | 11 777661 | 11596 | 0.985‰ |
30 | Europe | MD | Moldova | 4 027754 | 3924 | 0.974‰ |
31 | Europe | AT | Austria | 9 040305 | 8397 | 0.929‰ |
32 | Europe | NL | Netherlands | 17 159930 | 15523 | 0.905‰ |
33 | South America | EC | Ecuador | 17 818969 | 15735 | 0.883‰ |
34 | Asia | GE | Georgia | 3 984097 | 3510 | 0.881‰ |
35 | Europe | IE | Ireland | 4 974080 | 4313 | 0.867‰ |
36 | Africa | ZA | South Africa | 59 800365 | 49941 | 0.835‰ |
37 | Europe | DE | Germany | 83 960923 | 69924 | 0.833‰ |
38 | Asia | IR | Iran | 84 699762 | 59992 | 0.708‰ |
39 | Asia | LB | Lebanon | 6 805183 | 4652 | 0.684‰ |
40 | Africa | TN | Tunisia | 11 900023 | 7974 | 0.670‰ |
41 | South America | PR | Puerto Rico | 3 193694 | 2023 | 0.633‰ |
42 | Asia | IL | Israel | 9 197590 | 5738 | 0.624‰ |
43 | Europe | GR | Greece | 10 389297 | 6475 | 0.623‰ |
44 | Europe | AL | Albania | 2 875717 | 1775 | 0.617‰ |
45 | Europe | UA | Ukraine | 43 559469 | 25982 | 0.597‰ |
46 | Europe | RU | Russia | 145 975854 | 86122 | 0.590‰ |
47 | North America | CA | Canada | 37 960170 | 21885 | 0.577‰ |
48 | North America | CR | Costa Rica | 5 124759 | 2796 | 0.546‰ |
49 | Europe | RS | Serbia | 8 714045 | 4428 | 0.508‰ |
50 | Asia | JO | Jordan | 10 269828 | 4676 | 0.455‰ |
51 | South America | PY | Paraguay | 7 190156 | 3150 | 0.438‰ |
52 | North America | HN | Honduras | 10 008004 | 4123 | 0.412‰ |
53 | Europe | DK | Denmark | 5 805675 | 2356 | 0.406‰ |
54 | North America | GT | Guatemala | 18 132786 | 6367 | 0.351‰ |
55 | Asia | TR | Turkey | 84 936363 | 28503 | 0.336‰ |
56 | Asia | IQ | Iraq | 40 812799 | 13388 | 0.328‰ |
57 | Asia | AZ | Azerbaijan | 10 199379 | 3215 | 0.315‰ |
58 | Africa | LY | Libya | 6 932697 | 2179 | 0.314‰ |
59 | Asia | OM | Oman | 5 191423 | 1570 | 0.302‰ |
60 | North America | SV | El Salvador | 6 507806 | 1848 | 0.284‰ |
61 | North America | DO | Dominican R. | 10 919533 | 3089 | 0.283‰ |
62 | Asia | KW | Kuwait | 4 312050 | 1078 | 0.250‰ |
63 | Africa | MA | Morocco | 37 198337 | 8615 | 0.232‰ |
64 | Asia | KG | Kyrgyzstan | 6 594823 | 1464 | 0.222‰ |
65 | Europe | BY | Belarus | 9 447266 | 1967 | 0.208‰ |
66 | Asia | SA | Saudi Arabia | 35 169802 | 6489 | 0.184‰ |
67 | Asia | KZ | Kazakhstan | 18 924434 | 3311 | 0.175‰ |
68 | South America | UY | Uruguay | 3 481682 | 597 | 0.172‰ |
69 | Africa | NA | Namibia | 2 571072 | 422 | 0.164‰ |
70 | North America | JM | Jamaica | 2 969701 | 418 | 0.141‰ |
71 | Africa | LS | Lesotho | 2 153442 | 292 | 0.136‰ |
72 | Europe | FI | Finland | 5 546411 | 742 | 0.134‰ |
73 | Asia | ID | Indonesia | 275 427405 | 35971 | 0.131‰ |
74 | Africa | BW | Botswana | 2 382720 | 310 | 0.130‰ |
75 | Asia | AE | Arab Emirates | 9 968996 | 1206 | 0.121‰ |
76 | Europe | NO | Norway | 5 449182 | 622 | 0.114‰ |
77 | Asia | IN | India | 1 388 938259 | 156976 | 0.113‰ |
78 | Asia | PH | Philippines | 110 539720 | 12276 | 0.111‰ |
79 | Africa | EG | Egypt | 103 599236 | 10639 | 0.103‰ |
80 | Africa | ZW | Zimbabwe | 15 005040 | 1458 | 0.097‰ |
81 | Asia | NP | Nepal | 29 480392 | 2772 | 0.094‰ |
82 | Africa | MR | Mauritania | 4 729416 | 440 | 0.093‰ |
83 | Asia | QA | Qatar | 2 807805 | 258 | 0.092‰ |
84 | Africa | DZ | Algeria | 44 370173 | 2979 | 0.067‰ |
85 | Asia | JP | Japan | 126 219952 | 7860 | 0.062‰ |
86 | Asia | AF | Afghanistan | 39 501697 | 2444 | 0.062‰ |
87 | Africa | GM | Gambia | 2 460929 | 147 | 0.060‰ |
88 | Asia | MM | Myanmar | 54 650356 | 3198 | 0.059‰ |
89 | Asia | SY | Syria | 17 778410 | 1023 | 0.058‰ |
90 | Asia | PK | Pakistan | 223 702202 | 12827 | 0.057‰ |
91 | Africa | ZM | Zambia | 18 719620 | 1069 | 0.057‰ |
92 | Africa | MW | Malawi | 19 452627 | 1041 | 0.053‰ |
93 | Asia | BD | Bangladesh | 165 769700 | 8403 | 0.051‰ |
94 | Africa | SN | Senegal | 17 031867 | 864 | 0.051‰ |
95 | South America | VE | Venezuela | 28 382567 | 1337 | 0.047‰ |
96 | Africa | SD | Sudan | 44 518501 | 1880 | 0.042‰ |
97 | Africa | GA | Gabon | 2 260059 | 83 | 0.037‰ |
98 | Australia/Oceania | AU | Australia | 25 694525 | 909 | 0.035‰ |
99 | Asia | MY | Malaysia | 32 638635 | 1120 | 0.034‰ |
100 | Africa | KE | Kenya | 54 546107 | 1849 | 0.034‰ |
101 | Asia | KR | South Korea | 51 298365 | 1603 | 0.031‰ |
102 | North America | CU | Cuba | 11 322041 | 318 | 0.028‰ |
103 | North America | NI | Nicaragua | 6 676396 | 173 | 0.026‰ |
104 | Africa | CG | Congo | 5 606808 | 128 | 0.023‰ |
105 | North America | HT | Haiti | 11 493946 | 250 | 0.022‰ |
106 | Asia | LK | Sri Lanka | 21 472533 | 464 | 0.022‰ |
107 | Asia | YE | Yemen | 30 255680 | 634 | 0.021‰ |
108 | Africa | ET | Ethiopia | 116 823553 | 2335 | 0.020‰ |
109 | Africa | MZ | Mozambique | 31 826331 | 631 | 0.020‰ |
110 | Africa | RW | Rwanda | 13 161924 | 261 | 0.020‰ |
111 | Africa | CM | Cameroon | 26 977430 | 523 | 0.019‰ |
112 | Africa | GH | Ghana | 31 497512 | 599 | 0.019‰ |
113 | Asia | UZ | Uzbekistan | 33 787823 | 622 | 0.018‰ |
114 | Africa | ML | Mali | 20 630936 | 352 | 0.017‰ |
115 | Africa | LR | Liberia | 5 135380 | 85 | 0.017‰ |
116 | Africa | AO | Angola | 33 531626 | 506 | 0.015‰ |
117 | Africa | SO | Somalia | 16 182323 | 231 | 0.014‰ |
118 | Africa | CF | Central African R. | 4 884840 | 63 | 0.013‰ |
119 | Africa | MG | Madagascar | 28 155738 | 297 | 0.011‰ |
120 | Africa | TG | Togo | 8 405551 | 83 | 0.010‰ |
121 | Africa | SL | Sierra Leone | 8 083200 | 79 | 0.010‰ |
122 | Asia | TJ | Tajikistan | 9 677747 | 90 | 0.009‰ |
123 | Africa | NG | Nigeria | 209 476657 | 1905 | 0.009‰ |
124 | Africa | TD | Chad | 16 733036 | 139 | 0.008‰ |
125 | Africa | SS | South Sudan | 11 280056 | 87 | 0.008‰ |
126 | Africa | CD | DR Congo | 91 334147 | 700 | 0.008‰ |
127 | Africa | UG | Uganda | 46 680861 | 334 | 0.007‰ |
128 | Africa | CI | Ivory Coast | 26 804918 | 192 | 0.007‰ |
129 | Africa | NE | Niger | 24 775222 | 172 | 0.007‰ |
130 | Africa | BF | Burkina Faso | 21 277090 | 142 | 0.007‰ |
131 | Africa | GN | Guinea | 13 365153 | 88 | 0.007‰ |
132 | Africa | BJ | Benin | 12 330435 | 70 | 0.006‰ |
133 | Australia/Oceania | NZ | New Zealand | 5 002100 | 26 | 0.005‰ |
134 | Asia | SG | Singapore | 5 880669 | 29 | 0.005‰ |
135 | Asia | PS | Palestine | 5 178937 | 17 | 0.003‰ |
136 | Africa | ER | Eritrea | 3 578673 | 7 | 0.002‰ |
137 | Australia/Oceania | PG | Papua New Guinea | 9 058082 | 12 | 0.001‰ |
138 | Asia | TH | Thailand | 69 915721 | 83 | 0.001‰ |
139 | Asia | MN | Mongolia | 3 312938 | 2 | 0.001‰ |
140 | Asia | VN | Vietnam | 97 915519 | 35 | 0.000‰ |
141 | Asia | TW | Taiwan | 23 845271 | 9 | 0.000‰ |
142 | Africa | TZ | Tanzania | 60 843179 | 21 | 0.000‰ |
143 | Africa | BI | Burundi | 12 121435 | 3 | 0.000‰ |
144 | Asia | HK | Hong Kong | 7 537066 | 1 | 0.000‰ |
145 | Asia | CN | China | 1 439 323776 | 0 | 0.000‰ |
146 | Asia | KH | Cambodia | 16 871005 | 0 | 0.000‰ |
147 | Asia | KP | North Korea | 25 660000 | 0 | 0.000‰ |
148 | Europe | TM | Turkmenistan | 6 118000 | 0 | 0.000‰ |
149 | Asia | LA | Laos | 7 344908 | 0 | 0.000‰ |
Elhalálozási adatok hozzávetőleges értékei 2018: Abortusz: 56 millió, Rákbetegség: 9,6 millió.
Mi segíthet? - What can help? Above all, active prevention.
* ÚV lámpa (neon) használata a helységekben.
* Azelastine: [1],
[2], nálunk Szlovákiában, mint Allergodil, orr spray ismert. (5ml recept nélkül vásárolható)
* Cystus Pandalis: [4],
[5]
nálunk, mint ViroStop ismert (spray és tabletta is).
* Artemisinin + Zinc:
[6] egynyáriüröm kivonat, tabletta
(Nagyon jó többfajta rákbetegségre is, de konzultálni kell az orvossal, ha más gyógyszereket is szedünk).
* Inosine pranobex: [9]
* Ivermectin: [7]
, [Ivermectin Triple Therapy Protocol for COVID-19 to Australian GP]
, [Prof. Marik]
Ivermectin statisztikai adatok: [Epidemiologic Analyses on COVID-19 and Ivermectin]
, [Dr. Thomas Borody, Australia]
, [CZ]
This information has been compiled based on thousands of scientific studies. Anyone can check this here: Google Scholar...
Kiszámolt értékek
Relative Mortality számolása:
mortality120 = 100 * ws_death_120_days / (ws_case_127_days - ws_case_7_days)
mortality30 = 100 * ws_death_30_days / (ws_case_37_days - ws_case_7_days)
Ahol, ws_case_7_days (30,37,120,127), mindig az utolsó leadott jelentéstől kiszámított esetek száma, tehát
- ha Hungary utolsó jelentése 2021-02-10 volt, akkor onnan van számolva neki a 7,30,37,120,127 napos új esetek száma
- ha Szlovákia utolsó jelentése 2021-02-11 volt , akkor onnan van számolva neki a 7,30,37,120,127 napos új esetek száma
Ez azt jelenti, hogy lehet egy napos eltérés Szlovákia es Hungary kiszámolt értékei közt, de ezzel nem igen lehet semmit kezdeni.
Tekintettel arra, hogy a mortalitást 30 napra számolom, az ebből következő eltéres mértéke igen kicsi.
Itt sajnos probléma van USA és JAPAN esetében is, mivel más időzónában vannak, és mindenki máskor adja le a jelentést.
A WHO ezért 1-2 napos késéssel közli az adatokat. Ezen a weboldalon a WorldoMeter-től is aktualizálom az adatokat, melyek néhány ország esetében csak 1 napos vagy fél napos késéssel jönnek.
A kiszámolt értekek szempontjábol viszont ennek nincs nagy jelentősége, mert az eltérés igen kicsi a 30 napos átlagokat illetően.
Nagyon érdekes, ha ezeket az adatokat összehasonlítjuk "Our World in Data" által kiszámolt elhalálozási adatokkal.
Ott ugyanis az összes átlagon felüli elhalálozást veszik, nem csak a COVID-19 betegekét,
amiből következtetni lehet a valódi elhalálozás mértékére, ami a COVID-19 kapcsán történik (függetlenül attól, hogy mit mondanak a COVID-19 kimutatások az adott országban).
Az eltérő értékeknek több oka is lehet, például kevesebb ember kap színvonalas orvosi ellátást, vagy egyéb okok (mint például a kimutatások pontalansága) stb.
Az is nagyon érdekes, ha összehasonlítjuk Izrael mortalitási adatatit más országokéval pl. Szlovákiával, akkor látható, hogy Izreaelben sokkal jobb eredményeket érnek el. Ez a vakcinázást megelőzően is igaz.
New Cases, az új esteket százalékos értékei:
case120 = 100 * ws_case_120_days / ws_population
case30 = (120/30) * 100 * ws_case_30_days / ws_population
case7 = (120/7) * 100 * ws_case_7_days / ws_population
OurWorldInData: "https://github.com/owid/covid-19-data/tree/master/public/data",
Slovakia: "https://github.com/Institut-Zdravotnych-Analyz/covid19-data"