WHO South-East Asia Region is a Group with the following members:
Bangladesh - Bhutan - Burma - India - Indonesia - Korea, North - Maldives - Nepal - Pakistan - Sri Lanka - Thailand - Timor-Leste
|
|
| A ranking may taste a bit fishy, as this is not a competition between countries, but to compare the relative efficiency of measures taken, or for detecting which countries are likely to get critical next, this ranking imho deserves a place in this overview. | |||
| Ranking within 200 evaluated states: | |||
|---|---|---|---|
| Population | na | Incidence: | 106 |
| D7 Incidence: | 69 | R7 Value | na |
| Total cases | Cases per 100.000 | Average grow rate (7 days) | |
| Infected | na | 135 | 121 |
| Active | na | 122 | 42 |
| Deaths | na | 122 | 72 |
| Recovered | na | 135 | 123 |
| The ranking is made over all groups and countries, including small or recent that are ommitted in the table on the front page - which may lead to minor discrepancies between both! | |||
| Gives the time necessary to double the existing infections - to reach a million from the existing status, or to reach the population limit of the given group (which can well be below a million). This assumes the exponential growrate over the last seven days continues - which it does not, as there will be saturation towards the maximum. Please take these calulations with two grains of salt. As long as there is turning point in sight the data may well hold, though. | ||
| Last weeks rate | ||
|---|---|---|
| Time to double active cases | 21d 3h | |
| Time to double total cases | stable | |
| Time to reach a million cases | ||
| Time to saturate the population | stable | |
| Click top row to sort: | ± | ± | ± | ± | ± | ± | ± | ± | ± | ± | ± | ± | ± | ± | ± | ± | ± | ± | ± | ± |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Country | Pop | Incidence | R7 | D7I | Active | Deaths | Infected | Active | Deaths | Infected | Active | Deaths | Infected | Active | Deaths | Recovered | Vacc. | Country | ||
| mio | Indices | Absolute values | Δ 1day | Δ 7day | Growthrate 7d% | Cases per 100.000 | % | |||||||||||||
| Pakistan | 219.017 | 0.1 | 1.05 | 0.0 | 602 | 30644 | 50 | 50 | 0 | 1 | 0.0 | 5.22 | 0.0 | 720.2 | 0.3 | 14.0 | 705.9 | 0.71 | 0.0 | Pakistan |
| Indonesia | 266.912 | 0.6 | 1.09 | 0.1 | 3100 | 160937 | 312 | 100 | 3 | 21 | 0.0 | 1.37 | 0.0 | 2524.4 | 1.2 | 60.3 | 2462.9 | 2.46 | 0.0 | Indonesia |
| Thailand | 66.484 | 0.2 | 0.72 | 0.1 | 351 | 33918 | 0 | 0 | 0 | 7 | 0.0 | -1.97 | 0.0 | 7111.8 | 0.5 | 51.0 | 7060.2 | 7.06 | 0.0 | Thailand |
| India | 1360.054 | 0.2 | 1.53 | 0.0 | 3622 | 530776 | 379 | 186 | 1 | 4 | 0.0 | 6.2 | 0.0 | 3285.9 | 0.3 | 39.0 | 3246.6 | 3.25 | 75.54 | India |
| Sri Lanka | 21.803 | 0.0 | 0.86 | 0.0 | 13 | 16830 | 1 | 0 | 0 | 0 | 0.0 | -1.88 | 0.0 | 3082.3 | 0.1 | 77.2 | 3005.1 | 3.01 | 0.0 | Sri Lanka |
| Bangladesh | 168.304 | 0.0 | 0.75 | 0.0 | 98 | 29445 | 42 | 7 | 0 | 0 | 0.0 | -1.83 | 0.0 | 1210.8 | 0.1 | 17.5 | 1193.3 | 1.19 | 89.83 | Bangladesh |
| Maldives | 0.375 | 1.6 | 2.0 | 0.0 | 9 | 311 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 49556.6 | 2.4 | 83.0 | 49471.2 | 49.47 | 0.0 | Maldives |
| Bhutan | 0.742 | 0.9 | 1.4 | 0.0 | 12 | 21 | 7 | 3 | 0 | 0 | 0.0 | 4.76 | 0.0 | 8443.7 | 1.6 | 2.8 | 8439.3 | 8.44 | 0.0 | Bhutan |
| Nepal | 29.61 | 0.0 | 0.18 | 0.0 | 13 | 12020 | 1 | -1 | 0 | 0 | 0.0 | -9.63 | 0.0 | 3381.2 | 0.0 | 40.6 | 3340.5 | 3.34 | 0.0 | Nepal |
| Burma | 68.67 | 0.0 | 1.09 | 0.0 | 46 | 19490 | 0 | -2 | 0 | 0 | 0.0 | -0.38 | 0.0 | 923.2 | 0.1 | 28.4 | 894.7 | 0.89 | 0.0 | Burma |
| Timor-Leste | 1.26 | 0.1 | 0 | 0.0 | 1 | 138 | 1 | 0 | 0 | 0 | 0.0 | 0 | 0.0 | 1858.7 | 0.1 | 11.0 | 1847.6 | 1.85 | 0.0 | Timor-Leste |
| WHO South-East Asia Region | 2228.78 | 0.2 | 1.24 | 0.0 | 7867 | 834536 | 793 | 344 | 4 | 33 | 0.0 | 3.33 | 0.0 | 2797.5 | 0.4 | 37.4 | 2759.7 | 2.76 | 52.88 | WHO South-East Asia Region |