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
Last actualisation from "WHO" and "WorldoMeter": 2021-02-27 13:06
What can help, is at the bottom of this page.

COVID-19, Selected Countries

Our World in Data, (2 days late data visualization) [CASES][DEATHS], [VACCINATION]
CDCountryNew CasesNew Deaths
AT Austria +2457 (+2093) +23 (+22)
CZ Czechia +14676 (+14572) +93 (+163)
DE Germany +0 (+9687) +0 (+418)
HU Hungary +4948 (+4668) +107 (+123)
SK Slovakia +2848 (+2645) +109 (+107)

COVID-19, New Cases in Regions (incidence rate)

N.RegionPopulationLast 120 daysLast 30 daysLast 7 days
1 Europe 755 935866 3.79% 2.74% 2.84%
2 North America 591 709320 1.29% 1.42% 1.27%
3 South America 436 340128 1.23% 1.33% 1.22%
4 Asia 4 656 726343 0.88% 0.83% 0.84%
5 Africa 1 360 857227 0.36% 0.58% 0.50%
6 Australia/Oceania 43 126520 0.25% 0.05% 0.02%

COVID-19, Relative Mortality rate from positive cases in Regions

N.RegionPopulationMortality last
120 days
Mortality last
30 days
New positive cases
last 30 days
1 Africa 1 360 857227 1.93% 3.20% 0.58%
2 Asia 4 656 726343 1.94% 3.16% 0.83%
3 Europe 755 935866 1.86% 3.14% 2.74%
4 South America 436 340128 1.74% 2.52% 1.33%
5 North America 591 709320 1.26% 1.98% 1.42%
6 Australia/Oceania 43 126520 0.33% 0.75% 0.05%

COVID-19, Total Mortality from population of Regions

N.RegionPopulationDeaths1000*Deaths/Pop.
1 North America 591 709320 735154 1.242
2 Europe 755 935866 809887 1.071
3 South America 436 340128 463502 1.062
4 Asia 4 656 726343 390431 0.084
5 Africa 1 360 857227 103270 0.076
6 Australia/Oceania 43 126520 1218 0.028

COVID-19, New Cases in Countries

Filtered where Population more then 2 million, [All Countries] | Compare with [CASES]
N.RegionCDCountryPopulationLast 120 daysLast 30 daysLast 7 days
1 Europe CZ Czechia 10 722060 8.56% 9.80% 12.97%
2 Europe SK Slovakia 5 461384 4.71% 4.75% 4.96%
3 Asia LB Lebanon 6 805266 4.29% 4.70% 4.69%
4 Asia IL Israel 9 197590 4.95% 6.59% 4.61%
5 Europe SI Slovenia 2 079126 7.60% 5.18% 4.46%
6 Asia JO Jordan 10 269551 3.10% 2.37% 4.39%
7 Europe AL Albania 2 875726 2.95% 4.26% 4.36%
8 Europe HU Hungary 9 644170 3.66% 2.52% 4.27%
9 Europe RS Serbia 8 714140 4.70% 2.95% 4.24%
10 Europe FR France 65 368578 3.67% 3.62% 3.90%
11 Europe SE Sweden 10 140634 5.23% 3.63% 3.60%
12 Europe MD Moldova 4 027779 2.71% 2.55% 3.47%
13 Asia AE Arab Emirates 9 968670 2.56% 3.85% 3.45%
14 Europe NL Netherlands 17 159826 4.37% 2.75% 3.18%
15 Europe IT Italy 60 403209 3.76% 2.57% 3.07%
16 Europe PL Poland 37 819286 3.64% 2.12% 2.95%
17 South America BR Brazil 213 551580 2.30% 2.73% 2.87%
18 Asia KW Kuwait 4 311878 1.49% 2.43% 2.62%
19 Europe MK North Macedonia 2 083318 3.47% 1.96% 2.61%
20 Europe AT Austria 9 040165 3.93% 2.04% 2.60%
21 North America US USA 332 277970 5.82% 3.50% 2.48%
22 South America UY Uruguay 3 481649 1.51% 1.96% 2.45%
23 Europe BG Bulgaria 6 913867 2.86% 1.66% 2.41%
24 South America PE Peru 33 272390 1.24% 2.42% 2.40%
25 Europe LT Lithuania 2 697111 6.80% 2.54% 2.39%
26 South America CL Chile 19 223871 1.61% 2.23% 2.23%
27 Asia QA Qatar 2 807805 1.09% 1.82% 1.96%
28 Europe RO Romania 19 152885 2.96% 1.61% 1.90%
29 Europe BE Belgium 11 622788 2.92% 2.13% 1.87%
30 Africa BW Botswana 2 382590 0.93% 1.29% 1.84%
31 South America PY Paraguay 7 189916 1.32% 1.50% 1.83%
32 North America PA Panama 4 359167 4.77% 2.32% 1.82%
33 Europe BA Bosnia and Herzegovina 3 267336 2.58% 1.24% 1.81%
34 Europe GR Greece 10 389436 1.47% 1.31% 1.77%
35 South America AR Argentina 45 467818 2.12% 1.83% 1.75%
36 Europe GB United Kingdom 68 120388 4.69% 2.63% 1.71%
37 Europe IE Ireland 4 973929 3.18% 2.18% 1.67%
38 Europe BY Belarus 9 447275 1.99% 1.84% 1.66%
39 Europe UA Ukraine 43 560183 2.21% 1.25% 1.65%
40 Europe ES Spain 46 766708 4.12% 3.47% 1.42%
41 Europe PT Portugal 10 177094 6.58% 5.26% 1.35%
42 Europe HR Croatia 4 088541 4.86% 1.14% 1.23%
43 Asia TR Turkey 84 933885 1.98% 1.10% 1.21%
44 Asia IR Iran 84 696825 1.20% 1.05% 1.15%
45 Asia IQ Iraq 40 810326 0.54% 0.71% 1.14%
46 Europe FI Finland 5 546387 0.73% 0.92% 1.14%
47 Europe DE Germany 83 960193 2.30% 1.22% 1.13%
48 Europe CH Switzerland 8 696178 4.49% 1.59% 1.12%
49 North America JM Jamaica 2 969665 0.46% 0.97% 1.09%
50 Europe DK Denmark 5 805619 2.86% 0.94% 1.06%
51 South America BO Bolivia 11 777226 0.90% 1.41% 1.06%
52 Asia GE Georgia 3 984117 5.85% 1.43% 1.04%
53 Europe RU Russia 145 975683 1.80% 1.21% 0.97%
54 Asia MY Malaysia 32 637502 0.81% 1.25% 0.96%
55 South America CO Colombia 51 238374 2.34% 1.56% 0.96%
56 Africa NA Namibia 2 570946 0.99% 0.80% 0.95%
57 North America CA Canada 37 959267 1.67% 1.07% 0.94%
58 Asia AM Armenia 2 966889 2.87% 0.69% 0.90%
59 North America CR Costa Rica 5 124632 1.90% 0.98% 0.90%
60 North America CU Cuba 11 322060 0.37% 0.88% 0.89%
61 South America EC Ecuador 17 818236 0.64% 0.82% 0.86%
62 North America HN Honduras 10 007574 0.73% 1.01% 0.83%
63 Africa LY Libya 6 932442 1.05% 0.95% 0.77%
64 Africa GA Gabon 2 259915 0.25% 0.71% 0.77%
65 Africa TN Tunisia 11 899686 1.46% 1.00% 0.75%
66 North America DO Dominican R. 10 919236 1.03% 1.13% 0.72%
67 Asia OM Oman 5 191067 0.50% 0.55% 0.69%
68 Europe NO Norway 5 449067 0.94% 0.62% 0.69%
69 North America MX Mexico 129 820722 0.89% 0.86% 0.60%
70 South America PR Puerto Rico 3 193694 1.13% 0.95% 0.60%
71 Asia KZ Kazakhstan 18 923820 0.59% 0.64% 0.44%
72 Africa ZM Zambia 18 718208 0.33% 0.61% 0.41%
73 Asia ID Indonesia 275 419507 0.33% 0.43% 0.36%
74 Asia PS Palestine 5 178613 0.02% 0.08% 0.35%
75 North America GT Guatemala 18 131879 0.37% 0.38% 0.33%
76 Africa ZA South Africa 59 798322 1.32% 0.54% 0.29%
77 Asia LK Sri Lanka 21 472289 0.34% 0.40% 0.28%
78 Asia PH Philippines 110 535735 0.18% 0.19% 0.23%
79 North America SV El Salvador 6 507717 0.40% 0.33% 0.22%
80 Africa MZ Mozambique 31 823930 0.14% 0.29% 0.22%
81 Asia AZ Azerbaijan 10 199129 1.77% 0.17% 0.20%
82 Africa SS South Sudan 11 279697 0.04% 0.13% 0.19%
83 South America VE Venezuela 28 382787 0.17% 0.19% 0.19%
84 Africa GH Ghana 31 495736 0.11% 0.25% 0.19%
85 Africa SN Senegal 17 030657 0.11% 0.20% 0.16%
86 Asia MN Mongolia 3 312794 0.08% 0.14% 0.15%
87 Africa GM Gambia 2 460743 0.04% 0.11% 0.13%
88 Africa CG Congo 5 606435 0.06% 0.07% 0.12%
89 Africa MW Malawi 19 451272 0.13% 0.21% 0.12%
90 Asia SA Saudi Arabia 35 168320 0.09% 0.11% 0.11%
91 Africa MA Morocco 37 197142 0.73% 0.16% 0.11%
92 Africa TG Togo 8 405019 0.05% 0.09% 0.11%
93 Africa SO Somalia 16 181106 0.02% 0.05% 0.11%
94 Asia IN India 1 388 901219 0.21% 0.10% 0.11%
95 Asia JP Japan 126 221005 0.26% 0.18% 0.10%
96 Africa RW Rwanda 13 161044 0.10% 0.14% 0.10%
97 Asia KR South Korea 51 298245 0.12% 0.10% 0.09%
98 Asia KG Kyrgyzstan 6 594529 0.42% 0.11% 0.09%
99 Africa ET Ethiopia 116 815749 0.05% 0.08% 0.09%
100 Africa ER Eritrea 3 578539 0.07% 0.09% 0.08%
101 Africa GN Guinea 13 364176 0.03% 0.04% 0.07%
102 Africa EG Egypt 103 593955 0.07% 0.07% 0.07%
103 Africa CM Cameroon 26 975619 0.04% 0.06% 0.07%
104 Africa BJ Benin 12 329565 0.02% 0.06% 0.07%
105 Asia PK Pakistan 223 690464 0.11% 0.07% 0.07%
106 Africa KE Kenya 54 542863 0.10% 0.04% 0.05%
107 Australia/Oceania PG Papua New Guinea 9 057618 0.01% 0.02% 0.05%
108 Africa DZ Algeria 44 368007 0.13% 0.06% 0.05%
109 Africa MR Mauritania 4 729081 0.20% 0.08% 0.04%
110 Asia NP Nepal 29 478959 0.37% 0.05% 0.04%
111 Africa CI Ivory Coast 26 803128 0.04% 0.07% 0.04%
112 Africa ZW Zimbabwe 15 004449 0.18% 0.10% 0.04%
113 Asia SY Syria 17 777245 0.06% 0.04% 0.04%
114 Africa NG Nigeria 209 462655 0.04% 0.06% 0.03%
115 Africa LS Lesotho 2 153396 0.40% 0.44% 0.03%
116 Asia BD Bangladesh 165 765220 0.08% 0.03% 0.03%
117 Africa BI Burundi 12 120463 0.01% 0.02% 0.03%
118 Asia KH Cambodia 16 870373 0.00% 0.01% 0.03%
119 North America HT Haiti 11 493566 0.03% 0.04% 0.02%
120 Africa TD Chad 16 731743 0.01% 0.02% 0.02%
121 Asia SG Singapore 5 880543 0.03% 0.04% 0.02%
122 Africa BF Burkina Faso 21 275518 0.04% 0.03% 0.01%
123 Africa AO Angola 33 528819 0.03% 0.01% 0.01%
124 Asia TH Thailand 69 915243 0.03% 0.06% 0.01%
125 Africa MG Madagascar 28 153787 0.01% 0.02% 0.01%
126 Africa SL Sierra Leone 8 082756 0.02% 0.03% 0.01%
127 Asia UZ Uzbekistan 33 786497 0.04% 0.02% 0.01%
128 Australia/Oceania NZ New Zealand 5 002100 0.01% 0.01% 0.01%
129 North America NI Nicaragua 6 676181 0.01% 0.01% 0.01%
130 Africa ML Mali 20 629336 0.02% 0.01% 0.01%
131 Asia YE Yemen 30 253881 0.00% 0.00% 0.01%
132 Africa LR Liberia 5 135054 0.01% 0.01% 0.01%
133 Asia HK Hong Kong 7 536900 0.00% 0.00% 0.01%
134 Africa SD Sudan 44 515697 0.04% 0.01% 0.01%
135 Africa UG Uganda 46 676895 0.06% 0.01% 0.01%
136 Asia AF Afghanistan 39 499296 0.04% 0.01% 0.01%
137 Africa CD DR Congo 91 326674 0.02% 0.01% 0.01%
138 Asia MM Myanmar 54 649361 0.17% 0.02% 0.01%
139 Asia VN Vietnam 97 913128 0.00% 0.00% 0.00%
140 Australia/Oceania AU Australia 25 693717 0.01% 0.00% 0.00%
141 Africa NE Niger 24 772813 0.01% 0.01% 0.00%
142 Asia TW Taiwan 23 845154 0.00% 0.00% 0.00%
143 Asia KP North Korea 25 660000 0.00% 0.00% 0.00%
144 Africa TZ Tanzania 60 838511 0.00% 0.00% 0.00%
145 Europe TM Turkmenistan 6 118000 0.00% 0.00% 0.00%
146 Asia TJ Tajikistan 9 677160 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 884610 0.00% 0.00% 0.00%
149 Asia LA Laos 7 344620 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.RegionCDCountryPopulationMortality last
120 days
Mortality last
30 days
New positive cases
last 30 days
1 Asia YE Yemen 30 253881 30.00% (33.33)% (0.00)%
2 Asia NP Nepal 29 478959 1.49% (15.12)% (0.05)%
3 Africa SO Somalia 16 181106 6.83% (10.47)% (0.05)%
4 North America MX Mexico 129 820722 8.08% 8.91% 0.86%
5 Africa EG Egypt 103 593955 6.13% (8.20)% (0.07)%
6 Africa SD Sudan 44 515697 6.35% (7.35)% (0.01)%
7 Asia SY Syria 17 777245 7.50% (6.63)% (0.04)%
8 Africa ML Mali 20 629336 4.44% (6.34)% (0.01)%
9 Europe HU Hungary 9 644170 3.82% 5.87% 2.52%
10 Africa ZA South Africa 59 798322 3.88% 5.51% 0.54%
11 Africa ZW Zimbabwe 15 004449 4.45% (5.41)% (0.10)%
12 Europe BG Bulgaria 6 913867 4.43% 5.27% 1.66%
13 Europe DE Germany 83 960193 3.02% 5.17% 1.22%
14 Europe BA Bosnia and Herzegovina 3 267336 4.31% 4.85% 1.24%
15 Europe HR Croatia 4 088541 2.38% 4.60% 1.14%
16 North America GT Guatemala 18 131879 3.94% 4.41% 0.38%
17 Europe SK Slovakia 5 461384 2.68% 4.40% 4.75%
18 Africa NE Niger 24 772813 2.94% (4.26)% (0.01)%
19 Europe PL Poland 37 819286 2.72% 4.15% 2.12%
20 Asia AF Afghanistan 39 499296 6.09% (3.91)% (0.01)%
21 Africa TN Tunisia 11 899686 3.76% 3.90% 1.00%
22 Africa LS Lesotho 2 153396 2.92% 3.86% 0.44%
23 Africa GM Gambia 2 460743 3.41% 3.57% 0.11%
24 North America SV El Salvador 6 507717 3.33% 3.54% 0.33%
25 Europe GB United Kingdom 68 120388 2.33% 3.48% 2.63%
26 Europe IE Ireland 4 973929 1.51% 3.46% 2.18%
27 Asia PH Philippines 110 535735 2.64% 3.45% 0.19%
28 Asia TW Taiwan 23 845154 0.51% (3.28)% (0.00)%
29 Europe MK North Macedonia 2 083318 2.93% 3.27% 1.96%
30 Africa MW Malawi 19 451272 3.50% 3.12% 0.21%
31 Asia PK Pakistan 223 690464 2.48% (3.10)% (0.07)%
32 South America PE Peru 33 272390 3.00% 3.06% 2.42%
33 South America BO Bolivia 11 777226 2.91% 3.04% 1.41%
34 Africa AO Angola 33 528819 1.93% (3.03)% (0.01)%
35 Europe RO Romania 19 152885 2.33% 3.01% 1.61%
36 Asia JP Japan 126 221005 1.83% 3.01% 0.18%
37 Africa SN Senegal 17 030657 3.18% 2.96% 0.20%
38 Europe UA Ukraine 43 560183 1.94% 2.90% 1.25%
39 Europe RU Russia 145 975683 2.17% 2.84% 1.21%
40 Europe IT Italy 60 403209 2.55% 2.82% 2.57%
41 Africa MR Mauritania 4 729081 2.93% (2.81)% (0.08)%
42 Africa TD Chad 16 731743 1.73% (2.75)% (0.02)%
43 South America CO Colombia 51 238374 2.33% 2.65% 1.56%
44 South America EC Ecuador 17 818236 2.66% 2.64% 0.82%
45 North America NI Nicaragua 6 676181 2.28% (2.61)% (0.01)%
46 Asia AM Armenia 2 966889 1.94% 2.61% 0.69%
47 Europe GR Greece 10 389436 3.90% 2.60% 1.31%
48 Africa BW Botswana 2 382590 1.43% 2.59% 1.29%
49 Europe LT Lithuania 2 697111 1.67% 2.47% 2.54%
50 Asia KG Kyrgyzstan 6 594529 1.03% 2.45% 0.11%
51 Asia BD Bangladesh 165 765220 1.69% (2.44)% (0.03)%
52 Europe MD Moldova 4 027779 2.04% 2.39% 2.55%
53 Asia LB Lebanon 6 805266 1.41% 2.38% 4.70%
54 Australia/Oceania PG Papua New Guinea 9 057618 1.29% (2.36)% (0.02)%
55 Africa KE Kenya 54 542863 1.57% (2.32)% (0.04)%
56 Europe PT Portugal 10 177094 2.02% 2.32% 5.26%
57 South America PR Puerto Rico 3 193694 3.03% 2.30% 0.95%
58 North America US USA 332 277970 1.43% 2.29% 3.50%
59 Asia AZ Azerbaijan 10 199129 1.35% 2.25% 0.17%
60 Africa MA Morocco 37 197142 1.71% 2.23% 0.16%
61 North America HN Honduras 10 007574 2.00% 2.23% 1.01%
62 South America BR Brazil 213 551580 1.96% 2.22% 2.73%
63 Asia GE Georgia 3 984117 1.32% 2.18% 1.43%
64 South America CL Chile 19 223871 2.13% 2.12% 2.23%
65 Asia ID Indonesia 275 419507 2.49% 2.12% 0.43%
66 North America CA Canada 37 959267 1.87% 2.08% 1.07%
67 Africa LY Libya 6 932442 1.75% 2.04% 0.95%
68 Europe AT Austria 9 040165 2.01% 2.02% 2.04%
69 North America PA Panama 4 359167 1.51% 2.01% 2.32%
70 Europe DK Denmark 5 805619 0.97% 2.00% 0.94%
71 South America AR Argentina 45 467818 2.15% 1.99% 1.83%
72 Europe FR France 65 368578 1.97% 1.97% 3.62%
73 South America PY Paraguay 7 189916 1.94% 1.92% 1.50%
74 Asia MM Myanmar 54 649361 1.99% 1.82% 0.02%
75 Europe CZ Czechia 10 722060 1.87% 1.81% 9.80%
76 Asia KR South Korea 51 298245 1.86% 1.65% 0.10%
77 Europe BE Belgium 11 622788 2.41% 1.60% 2.13%
78 North America CR Costa Rica 5 124632 1.43% 1.60% 0.98%
79 Africa CG Congo 5 606435 1.10% 1.55% 0.07%
80 Africa NA Namibia 2 570946 1.16% 1.50% 0.80%
81 Europe ES Spain 46 766708 1.50% 1.48% 3.47%
82 Europe NL Netherlands 17 159826 1.05% 1.48% 2.75%
83 Europe AL Albania 2 875726 1.58% 1.45% 4.26%
84 Africa DZ Algeria 44 368007 1.84% 1.43% 0.06%
85 North America DO Dominican R. 10 919236 0.77% 1.42% 1.13%
86 Africa BJ Benin 12 329565 1.12% 1.41% 0.06%
87 Africa MG Madagascar 28 153787 1.90% 1.39% 0.02%
88 Asia SA Saudi Arabia 35 168320 3.66% 1.36% 0.11%
89 Asia TR Turkey 84 933885 1.09% 1.36% 1.10%
90 Africa ET Ethiopia 116 815749 1.49% 1.35% 0.08%
91 Africa CM Cameroon 26 975619 0.87% 1.31% 0.06%
92 South America VE Venezuela 28 382787 1.18% 1.29% 0.19%
93 Africa RW Rwanda 13 161044 1.73% 1.24% 0.14%
94 Australia/Oceania NZ New Zealand 5 002100 0.23% 1.22% 0.01%
95 Europe CH Switzerland 8 696178 1.60% 1.18% 1.59%
96 Africa ZM Zambia 18 718208 1.26% 1.17% 0.61%
97 North America JM Jamaica 2 969665 1.76% 1.17% 0.97%
98 Europe SI Slovenia 2 079126 2.27% 1.16% 5.18%
99 Africa LR Liberia 5 135054 0.50% 1.15% 0.01%
100 South America UY Uruguay 3 481649 1.13% 1.13% 1.96%
101 Africa CD DR Congo 91 326674 2.86% 1.12% 0.01%
102 Africa MZ Mozambique 31 823930 1.22% 1.12% 0.29%
103 Asia IR Iran 84 696825 2.56% 1.08% 1.05%
104 Africa GH Ghana 31 495736 0.87% 1.07% 0.25%
105 Africa UG Uganda 46 676895 0.78% 1.04% 0.01%
106 Africa SS South Sudan 11 279697 0.94% 1.03% 0.13%
107 Africa BF Burkina Faso 21 275518 0.80% 1.00% 0.03%
108 Africa NG Nigeria 209 462655 0.85% 0.99% 0.06%
109 Asia JO Jordan 10 269551 1.26% 0.96% 2.37%
110 Europe SE Sweden 10 140634 1.31% 0.90% 3.63%
111 Europe RS Serbia 8 714140 0.91% 0.87% 2.95%
112 Asia IN India 1 388 901219 1.11% 0.81% 0.10%
113 Europe NO Norway 5 449067 0.67% 0.79% 0.62%
114 Asia KZ Kazakhstan 18 923820 1.00% 0.77% 0.64%
115 Asia LK Sri Lanka 21 472289 0.61% 0.73% 0.40%
116 Europe FI Finland 5 546387 1.01% 0.70% 0.92%
117 Africa GN Guinea 13 364176 0.50% 0.69% 0.04%
118 Asia IQ Iraq 40 810326 1.16% 0.68% 0.71%
119 Asia IL Israel 9 197590 0.73% 0.63% 6.59%
120 Europe BY Belarus 9 447275 0.53% 0.62% 1.84%
121 Africa CI Ivory Coast 26 803128 0.57% 0.61% 0.07%
122 Asia OM Oman 5 191067 1.31% 0.60% 0.55%
123 Asia KW Kuwait 4 311878 0.48% 0.50% 2.43%
124 North America CU Cuba 11 322060 0.51% 0.47% 0.88%
125 Africa GA Gabon 2 259915 0.60% 0.44% 0.71%
126 North America HT Haiti 11 493566 0.49% 0.39% 0.04%
127 Asia AE Arab Emirates 9 968670 0.29% 0.38% 3.85%
128 Asia MY Malaysia 32 637502 0.34% 0.37% 1.25%
129 Africa TG Togo 8 405019 0.67% 0.35% 0.09%
130 Africa SL Sierra Leone 8 082756 0.34% 0.25% 0.03%
131 Africa BI Burundi 12 120463 0.14% 0.16% 0.02%
132 Asia QA Qatar 2 807805 0.09% 0.08% 1.82%
133 Asia UZ Uzbekistan 33 786497 0.40% 0.07% 0.02%
134 Asia TH Thailand 69 915243 0.11% 0.06% 0.06%
135 Asia MN Mongolia 3 312794 0.09% 0.00% 0.14%
136 Africa ER Eritrea 3 578539 0.31% 0.00% 0.09%
137 Asia SG Singapore 5 880543 0.05% 0.00% 0.04%
138 Asia KH Cambodia 16 870373 0.00% 0.00% 0.01%
139 Asia VN Vietnam 97 913128 0.00% 0.00% 0.00%
140 Australia/Oceania AU Australia 25 693717 0.14% 0.00% 0.00%
141 Africa CF Central African R. 4 884610 0.75% 0.00% 0.00%
142 Asia LA Laos 7 344620 0.00% 0.00% 0.00%
143 Asia PS Palestine 5 178613 0.00% 0.00% 0.08%
144 Africa TZ Tanzania 60 838511 0.00% 0.00% 0.00%
145 Asia KP North Korea 25 660000 0.00% 0.00% 0.00%
146 Europe TM Turkmenistan 6 118000 0.00% 0.00% 0.00%
147 Asia TJ Tajikistan 9 677160 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 536900 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.RegionCDCountryPopulationDeaths 1000*Deaths/Pop.
1 Europe SI Slovenia 2 079126 4100 1.972
2 Europe BE Belgium 11 622788 22034 1.896
3 Europe CZ Czechia 10 722060 20092 1.874
4 Europe GB United Kingdom 68 120388 122415 1.797
5 Europe IT Italy 60 403209 97227 1.610
6 Europe PT Portugal 10 177094 16243 1.596
7 Europe BA Bosnia and Herzegovina 3 267336 5071 1.552
8 Europe HU Hungary 9 644170 14902 1.545
9 North America US USA 332 277970 503660 1.516
10 Europe MK North Macedonia 2 083318 3119 1.497
11 Europe ES Spain 46 766708 69142 1.478
12 Europe BG Bulgaria 6 913867 10128 1.465
13 North America MX Mexico 129 820722 183597 1.414
14 South America PE Peru 33 272390 45874 1.379
15 Europe HR Croatia 4 088541 5511 1.348
16 North America PA Panama 4 359167 5799 1.330
17 Europe FR France 65 368578 85530 1.308
18 Europe SK Slovakia 5 461384 7075 1.296
19 Europe SE Sweden 10 140634 12838 1.266
20 Europe LT Lithuania 2 697111 3233 1.199
21 South America BR Brazil 213 551580 251284 1.177
22 South America CO Colombia 51 238374 59382 1.159
23 Europe PL Poland 37 819286 43656 1.154
24 South America AR Argentina 45 467818 51772 1.139
25 Asia AM Armenia 2 966889 3190 1.075
26 South America CL Chile 19 223871 20400 1.061
27 Europe CH Switzerland 8 696178 9218 1.060
28 Europe RO Romania 19 152885 20233 1.056
29 South America BO Bolivia 11 777226 11579 0.983
30 Europe MD Moldova 4 027779 3899 0.968
31 Europe AT Austria 9 040165 8379 0.927
32 Europe NL Netherlands 17 159826 15503 0.903
33 South America EC Ecuador 17 818236 15678 0.880
34 Asia GE Georgia 3 984117 3499 0.878
35 Europe IE Ireland 4 973929 4300 0.865
36 Europe DE Germany 83 960193 69937 0.833
37 Africa ZA South Africa 59 798322 49784 0.833
38 Asia IR Iran 84 696825 59911 0.707
39 Asia LB Lebanon 6 805266 4610 0.677
40 Africa TN Tunisia 11 899686 7942 0.667
41 South America PR Puerto Rico 3 193694 2016 0.631
42 Europe GR Greece 10 389436 6439 0.620
43 Asia IL Israel 9 197590 5679 0.617
44 Europe AL Albania 2 875726 1756 0.611
45 Europe UA Ukraine 43 560183 25893 0.594
46 Europe RU Russia 145 975683 85743 0.587
47 North America CA Canada 37 959267 21857 0.576
48 North America CR Costa Rica 5 124632 2797 0.546
49 Europe RS Serbia 8 714140 4414 0.506
50 Asia JO Jordan 10 269551 4650 0.453
51 South America PY Paraguay 7 189916 3136 0.436
52 North America HN Honduras 10 007574 4094 0.409
53 Europe DK Denmark 5 805619 2353 0.405
54 North America GT Guatemala 18 131879 6348 0.350
55 Asia TR Turkey 84 933885 28432 0.335
56 Asia IQ Iraq 40 810326 13365 0.328
57 Asia AZ Azerbaijan 10 199129 3213 0.315
58 Africa LY Libya 6 932442 2174 0.314
59 Asia OM Oman 5 191067 1562 0.301
60 North America SV El Salvador 6 507717 1841 0.283
61 North America DO Dominican R. 10 919236 3082 0.282
62 Asia KW Kuwait 4 311878 1072 0.249
63 Africa MA Morocco 37 197142 8608 0.231
64 Asia KG Kyrgyzstan 6 594529 1463 0.222
65 Europe BY Belarus 9 447275 1957 0.207
66 Asia SA Saudi Arabia 35 168320 6483 0.184
67 Asia KZ Kazakhstan 18 923820 3311 0.175
68 South America UY Uruguay 3 481649 597 0.172
69 Africa NA Namibia 2 570946 418 0.163
70 North America JM Jamaica 2 969665 413 0.139
71 Africa LS Lesotho 2 153396 292 0.136
72 Europe FI Finland 5 546387 740 0.133
73 Africa BW Botswana 2 382590 310 0.130
74 Asia ID Indonesia 275 419507 35713 0.130
75 Asia AE Arab Emirates 9 968670 1197 0.120
76 Europe NO Norway 5 449067 622 0.114
77 Asia IN India 1 388 901219 156825 0.113
78 Asia PH Philippines 110 535735 12243 0.111
79 Africa EG Egypt 103 593955 10590 0.102
80 Africa ZW Zimbabwe 15 004449 1463 0.098
81 Asia NP Nepal 29 478959 2769 0.094
82 Africa MR Mauritania 4 729081 439 0.093
83 Asia QA Qatar 2 807805 257 0.091
84 Africa DZ Algeria 44 368007 2977 0.067
85 Asia AF Afghanistan 39 499296 2443 0.062
86 Asia JP Japan 126 221005 7722 0.061
87 Africa GM Gambia 2 460743 148 0.060
88 Asia MM Myanmar 54 649361 3198 0.059
89 Asia SY Syria 17 777245 1018 0.057
90 Asia PK Pakistan 223 690464 12805 0.057
91 Africa ZM Zambia 18 718208 1066 0.057
92 Africa MW Malawi 19 451272 1037 0.053
93 Asia BD Bangladesh 165 765220 8389 0.051
94 Africa SN Senegal 17 030657 860 0.051
95 South America VE Venezuela 28 382787 1335 0.047
96 Africa SD Sudan 44 515697 1878 0.042
97 Africa GA Gabon 2 259915 83 0.037
98 Australia/Oceania AU Australia 25 693717 909 0.035
99 Africa KE Kenya 54 542863 1853 0.034
100 Asia MY Malaysia 32 637502 1110 0.034
101 Asia KR South Korea 51 298245 1595 0.031
102 North America CU Cuba 11 322060 314 0.028
103 North America NI Nicaragua 6 676181 173 0.026
104 Africa CG Congo 5 606435 128 0.023
105 North America HT Haiti 11 493566 248 0.022
106 Asia LK Sri Lanka 21 472289 464 0.022
107 Asia YE Yemen 30 253881 630 0.021
108 Africa ET Ethiopia 116 815749 2340 0.020
109 Africa RW Rwanda 13 161044 258 0.020
110 Africa CM Cameroon 26 975619 523 0.019
111 Africa MZ Mozambique 31 823930 613 0.019
112 Africa GH Ghana 31 495736 594 0.019
113 Asia UZ Uzbekistan 33 786497 622 0.018
114 Africa ML Mali 20 629336 350 0.017
115 Africa LR Liberia 5 135054 85 0.017
116 Africa AO Angola 33 528819 504 0.015
117 Africa SO Somalia 16 181106 223 0.014
118 Africa CF Central African R. 4 884610 63 0.013
119 Africa MG Madagascar 28 153787 297 0.011
120 Africa SL Sierra Leone 8 082756 79 0.010
121 Africa TG Togo 8 405019 82 0.010
122 Asia TJ Tajikistan 9 677160 90 0.009
123 Africa NG Nigeria 209 462655 1902 0.009
124 Africa TD Chad 16 731743 138 0.008
125 Africa SS South Sudan 11 279697 90 0.008
126 Africa CD DR Congo 91 326674 702 0.008
127 Africa UG Uganda 46 676895 334 0.007
128 Africa CI Ivory Coast 26 803128 189 0.007
129 Africa NE Niger 24 772813 172 0.007
130 Africa BF Burkina Faso 21 275518 142 0.007
131 Africa GN Guinea 13 364176 89 0.007
132 Africa BJ Benin 12 329565 70 0.006
133 Australia/Oceania NZ New Zealand 5 002100 26 0.005
134 Asia SG Singapore 5 880543 29 0.005
135 Africa ER Eritrea 3 578539 7 0.002
136 Australia/Oceania PG Papua New Guinea 9 057618 12 0.001
137 Asia TH Thailand 69 915243 83 0.001
138 Asia PS Palestine 5 178613 6 0.001
139 Asia MN Mongolia 3 312794 2 0.001
140 Asia VN Vietnam 97 913128 35 0.000
141 Asia TW Taiwan 23 845154 9 0.000
142 Africa TZ Tanzania 60 838511 21 0.000
143 Africa BI Burundi 12 120463 3 0.000
144 Asia CN China 1 439 323776 0 0.000
145 Asia KH Cambodia 16 870373 0 0.000
146 Asia KP North Korea 25 660000 0 0.000
147 Europe TM Turkmenistan 6 118000 0 0.000
148 Asia LA Laos 7 344620 0 0.000
149 Asia HK Hong Kong 7 536900 0 0.000

Mi segíthet? - What can help?

* ÚV lámpa (neon) használata a helységekben.
* Azelastín: [1], [2], nálunk Szlovákiában, mint Allergodil, orr spray ismert.
* Cystus Pandalis: [4], [5] nálunk, mint Viro-Stop 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).
* Ivermectin: [7] , [Ivermectin Triple Therapy Protocol for COVID-19 to Australian GP] , [Prof. Marik]
Ivermectin statisztikai adatok: [Epidemiologic Analyses on COVID-19 and Ivermectin]

Elhalálozási adatok hozzávetőleges értékei 2018: Abortusz: 56 millió, Rákbetegség: 9,6 millió.

UV lampa D3 Allergodil VIRO-STOP Artemisinin Artemisinin Zinc Ivermectin

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 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.

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"