COVID-19 - Asia - 20-11-27

Data from JHU, ca. 9:00 CET

Asia is a Group with the following members:
Afghanistan - Bahrain - Bangladesh - Bhutan - Brunei - Burma - Cambodia - China - India - Indonesia - Iran - Iraq - Israel - Japan - Jordan - Kazakhstan - Korea, North - Korea, South - Kuwait - Kyrgyzstan - Laos - Lebanon - Malaysia - Maldives - Mongolia - Nepal - Oman - Pakistan - Philippines - Qatar - Saudi Arabia - Singapore - Sri Lanka - Syria - Taiwan - Tajikistan - Thailand - Timor-Leste - Turkey - Turkmenistan - United Arab Emirates - Uzbekistan - Vietnam - West Bank and Gaza - Yemen

Go to the data tables

	absolute	cases per 100.000	abs. development 1 day	rel. development 1 day	rel. development 5 days/average
Total infections	16015145	352.2	135624	0.85%	0.71%
Active cases	1410631	31.0	56389	4.16%	1.48%
Deaths	282185	6.2	1560	0.56%	0.47%
Recovered	14322329	315.0	77675	0.55%	0.45%

Deaths per infected	1.76%
Recovered per infected	89.43%
Active per infected	8.81%
Deaths per recovered	1.97%
Projection: Total Case Percentage	1.68%

	Last days rate	Last average rate
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 of the last day or average of the last five 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.
Time to double cases	81d 12h	98d 1h
Time to reach a million cases
Time to saturate the population	>1yr	stable

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.
Total:	192	Population	na
	Total cases	Cases per 100.000	Average grow rate (5 days)
Infected	na	103	89
Active	na	102	57
Deaths	na	94	74
Recovered	na	92	85
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!

Diagrams

Members of Group: Asia

Afghanistan - Bahrain - Bangladesh - Bhutan - Brunei - Burma - Cambodia - China - India - Indonesia - Iran - Iraq - Israel - Japan - Jordan - Kazakhstan - Korea, North - Korea, South - Kuwait - Kyrgyzstan - Laos - Lebanon - Malaysia - Maldives - Mongolia - Nepal - Oman - Pakistan - Philippines - Qatar - Saudi Arabia - Singapore - Sri Lanka - Syria - Taiwan - Tajikistan - Thailand - Timor-Leste - Turkey - Turkmenistan - United Arab Emirates - Uzbekistan - Vietnam - West Bank and Gaza - Yemen

Data by Country

Click on the header to sort - Click on the name for the countries dashboard! - Only countries with more then 100 infections and more then 100.000 citizens are listed!

Click top row to sort:	±	±	±	±	±	±	±	±	±	±	±	±	±	±	±	±	±	±
Country	Pop (mio)	Infected	Active	Deaths	Recovered	Infected	Active	Deaths	Recovered	Infected	Deaths	Infected	Active	Deaths	Recovered	Deaths per Recovered		Recovered per infected
		absolute values				Percentage growthrate 5d				Time to double		Cases per 100.000				% / ratio
China	1401.856	92586	907	4742	86937	0.1	7.85	0.0	0.02	>1yr		6.6	0.1	0.3	6.2	5.5	1:18.3	0.94
Iran	83.298	922397	235237	47095	640065	1.54	2.08	0.83	0.97	45d 5h	83d 22h	1107.3	282.4	56.5	768.4	7.4	1:13.6	0.69
Korea, South	51.781	33375	5504	522	27349	1.49	5.96	0.27	0.42	47d 0h	253d 13h	64.5	10.6	1.0	52.8	1.9	1:52.4	0.82
Japan	126.01	142778	23041	2028	117709	1.42	1.13	0.54	1.06	49d 0h	128d 15h	113.3	18.3	1.6	93.4	1.7	1:58.1	0.82
Malaysia	32.726	61861	11307	350	50204	2.47	-2.13	0.77	3.37	28d 10h	90d 22h	189.0	34.6	1.1	153.4	0.7	1:142.9	0.81
Israel	9.175	333802	9617	2839	321346	0.3	2.77	0.25	0.18	235d 2h	278d 17h	3638.3	104.8	30.9	3502.6	0.9	1:113.6	0.96
Qatar	2.747	138250	2643	237	135370	0.15	-0.59	0.08	0.14	>1yr	stable	5032.2	96.2	8.6	4927.4	0.2	1:555.6	0.98
Pakistan	219.017	392356	46861	7942	337553	0.81	3.51	0.52	0.3	86d 9h	134d 7h	179.1	21.4	3.6	154.1	2.4	1:42.6	0.86
Turkey	83.155	548244	142437	13191	392616	4.23	12.42	1.04	0.74	16d 17h	66d 22h	659.3	171.3	15.9	472.1	3.4	1:29.8	0.72
Singapore	5.704	58199	60	28	58111	0.01	-0.23	0.0	0.01	stable		1020.4	1.1	0.5	1018.8	0.1	1:2000.0	1.0
Indonesia	266.912	522581	68604	16521	437456	0.98	0.98	0.58	0.73	70d 22h	119d 6h	195.8	25.7	6.2	163.9	3.8	1:26.5	0.84
Bahrain	1.543	86515	1521	341	84653	0.19	-0.55	0.18	0.16	>1yr	>1yr	5605.8	98.6	22.1	5485.2	0.4	1:250.0	0.98
Saudi Arabia	34.218	356691	5212	5857	345622	0.08	-2.66	0.21	0.11	stable	335d 12h	1042.4	15.2	17.1	1010.1	1.7	1:59.2	0.97
Thailand	66.484	3966	108	60	3798	0.23	3.74	0.0	0.13	296d 21h		6.0	0.2	0.1	5.7	1.6	1:63.3	0.96
Philippines	108.434	425918	30047	8255	387616	0.34	3.55	0.29	0.04	206d 3h	238d 2h	392.8	27.7	7.6	357.5	2.1	1:46.9	0.91
India	1360.054	9351109	454940	136200	8759969	0.46	0.54	0.29	0.36	151d 16h	236d 2h	687.6	33.5	10.0	644.1	1.6	1:64.5	0.94
Iraq	39.128	547215	58751	12167	476297	0.44	0.09	0.28	0.38	157d 17h	249d 18h	1398.5	150.2	31.1	1217.3	2.5	1:39.2	0.87
Lebanon	6.825	123982	48994	980	74008	1.26	0.49	1.6	1.29	55d 11h	43d 17h	1816.5	717.8	14.4	1084.3	1.3	1:75.8	0.6
Kuwait	4.42	141876	5699	874	135303	0.26	-3.29	0.14	0.39	268d 10h	>1yr	3209.8	128.9	19.8	3061.1	0.7	1:153.8	0.95
United Arab Emirates	9.89	165250	11975	567	152708	0.78	3.83	0.43	0.4	89d 17h	160d 22h	1670.8	121.1	5.7	1544.0	0.4	1:270.3	0.92
Taiwan	23.604	639	77	7	555	0.71	0.32	0.0	0.25	98d 11h		2.7	0.3	0.0	2.4	1.3	1:79.4	0.87
Vietnam	96.209	1339	134	35	1170	0.49	0.03	0.0	0.42	143d 5h		1.4	0.1	0.0	1.2	3.0	1:33.4	0.87
Brunei	0.442	150	2	3	145	0.27	0	0.0	0.0	257d 16h		33.9	0.5	0.7	32.8	2.1	1:48.3	0.97
Jordan	10.641	207601	64631	2570	140400	2.51	-0.69	2.34	3.55	27d 23h	29d 23h	1951.0	607.4	24.2	1319.5	1.8	1:54.6	0.68
Sri Lanka	21.803	22501	6168	107	16226	2.21	0.34	2.63	2.38	31d 16h	26d 17h	103.2	28.3	0.5	74.4	0.7	1:151.5	0.72
Oman	4.665	122579	7332	1391	113856	0.08	-0.27	0.16	0.1	stable	>1yr	2627.7	157.2	29.8	2440.7	1.2	1:82.0	0.93
Kazakhstan	18.667	130039	12005	1990	116044	0.6	0.71	0.46	0.45	114d 23h	150d 3h	696.6	64.3	10.7	621.6	1.7	1:58.5	0.89
Cambodia	15.289	308	9	0	299	0.13	-3.82	0	0.2	>1yr		2.0	0.1	0.0	2.0	0.0	na	0.97
Uzbekistan	34.081	72513	2126	607	69780	0.25	-0.5	0.13	0.24	278d 17h	>1yr	212.8	6.2	1.8	204.7	0.9	1:114.9	0.96
Afghanistan	32.226	45839	7804	1740	36295	0.5	1.81	0.59	0.17	138d 10h	118d 13h	142.2	24.2	5.4	112.6	4.8	1:20.9	0.79
Bangladesh	168.304	458711	78491	6544	373676	0.5	-0.02	0.42	0.49	138d 1h	164d 10h	272.5	46.6	3.9	222.0	1.8	1:57.1	0.81
Maldives	0.375	12933	1138	46	11749	0.51	3.31	0.0	0.2	136d 0h		3450.6	303.6	12.3	3134.7	0.4	1:256.4	0.91
Mongolia	3.309	760	413	0	347	3.5	5.5	0	0.41	20d 3h		23.0	12.5	0.0	10.5	0.0	na	0.46
Kyrgyzstan	6.524	71548	7346	1256	62946	0.56	-0.51	0.4	0.69	124d 4h	172d 5h	1096.8	112.6	19.3	964.9	2.0	1:50.0	0.88
Bhutan	0.742	395	23	0	372	0.67	-0.46	0	0.44	103d 6h		53.3	3.1	0.0	50.2	0.0	na	0.94
Nepal	29.61	229343	18473	1435	209435	0.81	-3.35	1.34	1.03	86d 5h	51d 22h	774.6	62.4	4.8	707.3	0.7	1:144.9	0.91
Syria	17.5	7635	3842	404	3389	1.11	0.32	1.2	1.46	62d 18h	58d 6h	43.6	22.0	2.3	19.4	11.9	1:8.4	0.44
West Bank and Gaza	3.7	80429	17780	689	61960	2.34	6.75	1.35	0.74	29d 23h	51d 16h	2173.8	480.5	18.6	1674.6	1.1	1:90.1	0.77
Burma	68.67	86633	18796	1865	65972	1.8	0.01	1.2	1.94	38d 21h	57d 22h	126.2	27.4	2.7	96.1	2.8	1:35.3	0.76
Yemen	28.25	2148	43	614	1491	0.46	-0.82	0.13	0.49	150d 4h	>1yr	7.6	0.2	2.2	5.3	41.2	1:2.4	0.69
Tajikistan	9.28	12082	518	86	11478	0.31	-0.6	0.0	0.29	220d 23h		130.2	5.6	0.9	123.7	0.8	1:133.3	0.95
Asia	4546.98	16015145	1410631	282185	14322329	0.71	1.48	0.47	0.45	98d 1h	146d 8h	352.2	31.0	6.2	315.0	2.0	1:50.8	0.89
Timor-Leste	1.26	30	0	0	30	0.0	0	0	0.0			2.4	0.0	0.0	2.4	0.0	na	0.01

More Data by Country

Click top row to sort:	±	±	±	±	±	±	±	±	±	±	±	±	±	±	±
Country	Pop (mio)	Infected	Active	Deaths	Recovered	Deaths per Recovered		Recovered per infected	Deaths per infected ... days ago					Possible Total %	Country
		absolute values				% / ratio		Recovered per infected	0d	5d	7d	10d	14d	Possible Total %
China	1401.856	92586	907	4742	86937	5.5	1:18.3	0.94	0.05	0.05	0.05	0.05	0.05	0.09	China
Iran	83.298	922397	235237	47095	640065	7.4	1:13.6	0.69	0.05	0.05	0.06	0.06	0.06	15.28	Iran
Korea, South	51.781	33375	5504	522	27349	1.9	1:52.4	0.82	0.02	0.02	0.02	0.02	0.02	0.27	Korea, South
Japan	126.01	142778	23041	2028	117709	1.7	1:58.1	0.82	0.01	0.02	0.02	0.02	0.02	0.43	Japan
Malaysia	32.726	61861	11307	350	50204	0.7	1:142.9	0.81	0.01	0.01	0.01	0.01	0.01	0.29	Malaysia
Israel	9.175	333802	9617	2839	321346	0.9	1:113.6	0.96	0.01	0.01	0.01	0.01	0.01	8.36	Israel
Qatar	2.747	138250	2643	237	135370	0.2	1:555.6	0.98	0.0	0.0	0.0	0.0	0.0	2.33	Qatar
Pakistan	219.017	392356	46861	7942	337553	2.4	1:42.6	0.86	0.02	0.02	0.02	0.02	0.02	0.98	Pakistan
Turkey	83.155	548244	142437	13191	392616	3.4	1:29.8	0.72	0.02	0.03	0.03	0.03	0.03	4.29	Turkey
Singapore	5.704	58199	60	28	58111	0.1	1:2000.0	1.0	0.0	0.0	0.0	0.0	0.0	0.13	Singapore
Indonesia	266.912	522581	68604	16521	437456	3.8	1:26.5	0.84	0.03	0.03	0.03	0.03	0.04	1.67	Indonesia
Bahrain	1.543	86515	1521	341	84653	0.4	1:250.0	0.98	0.0	0.0	0.0	0.0	0.0	5.97	Bahrain
Saudi Arabia	34.218	356691	5212	5857	345622	1.7	1:59.2	0.97	0.02	0.02	0.02	0.02	0.02	4.63	Saudi Arabia
Thailand	66.484	3966	108	60	3798	1.6	1:63.3	0.96	0.02	0.02	0.02	0.02	0.02	0.02	Thailand
Philippines	108.434	425918	30047	8255	387616	2.1	1:46.9	0.91	0.02	0.02	0.02	0.02	0.02	2.06	Philippines
India	1360.054	9351109	454940	136200	8759969	1.6	1:64.5	0.94	0.01	0.01	0.01	0.02	0.02	2.71	India
Iraq	39.128	547215	58751	12167	476297	2.5	1:39.2	0.87	0.02	0.02	0.02	0.02	0.02	8.4	Iraq
Lebanon	6.825	123982	48994	980	74008	1.3	1:75.8	0.6	0.01	0.01	0.01	0.01	0.01	3.88	Lebanon
Kuwait	4.42	141876	5699	874	135303	0.7	1:153.8	0.95	0.01	0.01	0.01	0.01	0.01	5.34	Kuwait
United Arab Emirates	9.89	165250	11975	567	152708	0.4	1:270.3	0.92	0.0	0.0	0.0	0.0	0.0	1.55	United Arab Emirates
Taiwan	23.604	639	77	7	555	1.3	1:79.4	0.87	0.01	0.01	0.01	0.01	0.01	0.01	Taiwan
Vietnam	96.209	1339	134	35	1170	3.0	1:33.4	0.87	0.03	0.03	0.03	0.03	0.03	0.01	Vietnam
Brunei	0.442	150	2	3	145	2.1	1:48.3	0.97	0.02	0.02	0.02	0.02	0.02	0.18	Brunei
Jordan	10.641	207601	64631	2570	140400	1.8	1:54.6	0.68	0.01	0.01	0.01	0.02	0.02	6.53	Jordan
Sri Lanka	21.803	22501	6168	107	16226	0.7	1:151.5	0.72	0.0	0.01	0.01	0.01	0.01	0.13	Sri Lanka
Oman	4.665	122579	7332	1391	113856	1.2	1:82.0	0.93	0.01	0.01	0.01	0.01	0.01	8.06	Oman
Kazakhstan	18.667	130039	12005	1990	116044	1.7	1:58.5	0.89	0.02	0.02	0.02	0.02	0.02	2.88	Kazakhstan
Cambodia	15.289	308	9	0	299	0.0	na	0.97	0.0	0.0	0.0	0.0	0.0	0.0	Cambodia
Uzbekistan	34.081	72513	2126	607	69780	0.9	1:114.9	0.96	0.01	0.01	0.01	0.01	0.01	0.48	Uzbekistan
Afghanistan	32.226	45839	7804	1740	36295	4.8	1:20.9	0.79	0.04	0.04	0.04	0.04	0.04	1.46	Afghanistan
Bangladesh	168.304	458711	78491	6544	373676	1.8	1:57.1	0.81	0.01	0.01	0.01	0.01	0.02	1.05	Bangladesh
Maldives	0.375	12933	1138	46	11749	0.4	1:256.4	0.91	0.0	0.0	0.0	0.0	0.0	3.32	Maldives
Mongolia	3.309	760	413	0	347	0.0	na	0.46	0.0	0.0	0.0	0.0	0.0	0.0	Mongolia
Kyrgyzstan	6.524	71548	7346	1256	62946	2.0	1:50.0	0.88	0.02	0.02	0.02	0.02	0.02	5.2	Kyrgyzstan
Bhutan	0.742	395	23	0	372	0.0	na	0.94	0.0	0.0	0.0	0.0	0.0	0.0	Bhutan
Nepal	29.61	229343	18473	1435	209435	0.7	1:144.9	0.91	0.01	0.01	0.01	0.01	0.01	1.31	Nepal
Syria	17.5	7635	3842	404	3389	11.9	1:8.4	0.44	0.05	0.06	0.06	0.06	0.06	0.62	Syria
West Bank and Gaza	3.7	80429	17780	689	61960	1.1	1:90.1	0.77	0.01	0.01	0.01	0.01	0.01	5.03	West Bank and Gaza
Burma	68.67	86633	18796	1865	65972	2.8	1:35.3	0.76	0.02	0.02	0.02	0.03	0.03	0.73	Burma
Yemen	28.25	2148	43	614	1491	41.2	1:2.4	0.69	0.29	0.29	0.29	0.29	0.3	0.59	Yemen
Tajikistan	9.28	12082	518	86	11478	0.8	1:133.3	0.95	0.01	0.01	0.01	0.01	0.01	0.25	Tajikistan
Asia	4546.98	16015145	1410631	282185	14322329	2.0	1:50.8	0.89	0.02	0.02	0.02	0.02	0.02	1.68	Asia
Timor-Leste	1.26	30	0	0	30	0.0	na	0.01	0.0	0.0	0.0	0.0	0.0	0.0	Timor-Leste

A study of the University of Bonn on the spread of Covid-19 at Heinsberg - the most affected county in Germany - showed a rate of deaths to infected of 0.37%. As this is the first reliable data on this ratio I use it as a projection from the number of reported deaths to the spread of the disease in the whole population, given as percentage. Note that locally other factors, like a developing spread, unreported deaths or a situation where people are more prone to die due to an overstretch of the health system will affect this number. Countries with a different population structure (eg. more young vs. old) may also get other ratios, so take this with a grain of salt - I will keep an eye on the developing scientific results.
Links (German):
Preliminary results - Press coverage: Die Welt