COVID-19 - Asia - 20-10-09

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	11516736	253.3	105111	0.92%	0.95%
Active cases	1478761	32.5	-5895	-0.4%	-0.23%
Deaths	208261	4.6	1619	0.78%	0.67%
Recovered	9829714	216.2	109387	1.13%	0.92%

Deaths per infected	1.81%
Recovered per infected	85.35%
Active per infected	12.84%
Deaths per recovered	2.12%
Projection: Total Case Percentage	1.24%

	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	75d 14h	73d 7h
Time to reach a million cases
Time to saturate the population	>1yr	>1yr

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:	189	Population	na
	Total cases	Cases per 100.000	Average grow rate (5 days)
Infected	na	96	72
Active	na	97	125
Deaths	na	89	51
Recovered	na	85	59
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	90751	371	4739	85641	0.03	0.97	0.0	0.02	stable		6.5	0.0	0.3	6.1	5.5	1:18.1	0.94
Iran	83.298	492378	62901	28098	401379	0.86	2.17	0.68	0.47	81d 1h	101d 23h	591.1	75.5	33.7	481.9	7.0	1:14.3	0.82
Korea, South	51.781	24548	1494	430	22624	0.32	-4.4	0.28	0.62	219d 19h	245d 3h	47.4	2.9	0.8	43.7	1.9	1:52.6	0.92
Japan	126.01	88267	6504	1623	80140	0.58	0.29	0.24	0.46	119d 14h	293d 2h	70.0	5.2	1.3	63.6	2.0	1:49.3	0.91
Malaysia	32.726	14722	3863	152	10707	3.53	13.89	1.29	0.46	19d 23h	53d 22h	45.0	11.8	0.5	32.7	1.4	1:70.4	0.73
Israel	9.175	287858	60724	1886	225248	1.53	-2.25	1.64	2.53	45d 13h	42d 16h	3137.6	661.9	20.6	2455.1	0.8	1:119.0	0.78
Qatar	2.747	127600	2822	219	124559	0.17	0.3	0.19	0.14	>1yr	>1yr	4644.6	102.7	8.0	4533.9	0.2	1:555.6	0.98
Pakistan	219.017	318266	8646	6558	303062	0.23	-1.74	0.12	0.25	300d 10h	>1yr	145.3	3.9	3.0	138.4	2.2	1:46.3	0.95
Turkey	83.155	332382	31906	8722	291754	0.48	0.5	0.53	0.37	143d 8h	131d 1h	399.7	38.4	10.5	350.9	3.0	1:33.4	0.88
Singapore	5.704	57859	157	27	57675	0.02	-5.75	0.0	0.03	stable		1014.4	2.8	0.5	1011.2	0.1	1:2000.0	1.0
Indonesia	266.912	324658	65314	11677	247667	1.36	0.32	0.76	1.33	51d 10h	91d 17h	121.6	24.5	4.4	92.8	4.7	1:21.2	0.76
Bahrain	1.543	74860	4183	271	70406	0.6	-0.52	0.31	0.57	116d 7h	226d 16h	4850.6	271.0	17.6	4562.0	0.4	1:263.2	0.94
Saudi Arabia	34.218	338539	9261	4996	324282	0.13	-1.3	0.4	0.14	>1yr	175d 19h	989.4	27.1	14.6	947.7	1.5	1:64.9	0.96
Thailand	66.484	3634	130	59	3445	0.24	-1.05	0.0	0.3	284d 10h		5.5	0.2	0.1	5.2	1.7	1:58.5	0.95
Philippines	108.434	334770	53311	6152	275307	0.75	3.38	1.0	0.09	92d 18h	69d 19h	308.7	49.2	5.7	253.9	2.2	1:44.8	0.82
India	1360.054	6979423	883185	107416	5988822	1.05	-0.89	0.73	1.12	66d 6h	95d 3h	513.2	64.9	7.9	440.3	1.8	1:55.9	0.86
Iraq	39.128	397780	59948	9735	328097	0.96	-0.38	0.6	1.04	72d 5h	116d 8h	1016.6	153.2	24.9	838.5	3.0	1:33.7	0.82
Lebanon	6.825	51170	28313	450	22407	2.84	2.55	1.58	1.93	24d 17h	44d 5h	749.7	414.8	6.6	328.3	2.0	1:49.8	0.44
Kuwait	4.42	110076	7403	649	102024	0.56	0.34	0.57	0.46	123d 7h	121d 17h	2490.4	167.5	14.7	2308.2	0.6	1:156.2	0.93
United Arab Emirates	9.89	104004	8659	442	94903	1.03	-2.51	0.56	1.19	67d 12h	124d 12h	1051.6	87.5	4.5	959.5	0.5	1:212.8	0.91
Taiwan	23.604	527	32	7	488	0.38	3.0	0.0	0.12	180d 20h		2.2	0.1	0.0	2.1	1.4	1:69.9	0.93
Vietnam	96.209	1105	46	35	1024	0.16	0.5	0.0	0.06	>1yr		1.1	0.0	0.0	1.1	3.4	1:29.2	0.93
Brunei	0.442	146	0	3	143	0.0	0	0.0	0.14			33.0	0.0	0.7	32.4	2.1	1:47.6	0.98
Jordan	10.641	22763	16691	166	5906	7.82	8.8	7.42	1.98	9d 5h	9d 16h	213.9	156.9	1.6	55.5	2.8	1:35.6	0.26
Sri Lanka	21.803	4523	1214	13	3296	6.12	82.06	0.0	0.12	11d 16h		20.7	5.6	0.1	15.1	0.4	1:256.4	0.73
Oman	4.665	104129	11389	1009	91731	0.56	2.67	0.65	0.32	124d 9h	107d 10h	2232.2	244.1	21.6	1966.5	1.1	1:90.9	0.88
Kazakhstan	18.667	108663	3007	1746	103910	0.08	-1.12	0.24	0.09	stable	285d 0h	582.1	16.1	9.4	556.6	1.7	1:59.5	0.96
Cambodia	15.289	283	6	0	277	0.36	11.67	0	0.07	194d 3h		1.9	0.0	0.0	1.8	0.0	na	0.98
Uzbekistan	34.081	60342	2623	498	57221	0.58	-1.05	0.66	0.56	119d 3h	105d 13h	177.1	7.7	1.5	167.9	0.9	1:114.9	0.95
Afghanistan	32.226	39693	5163	1472	33058	0.18	0.24	0.11	0.13	>1yr	>1yr	123.2	16.0	4.6	102.6	4.5	1:22.5	0.83
Bangladesh	168.304	375870	80481	5477	289912	0.39	-0.21	0.42	0.47	179d 16h	167d 2h	223.3	47.8	3.3	172.3	1.9	1:52.9	0.77
Maldives	0.375	10808	1120	34	9654	0.52	-0.19	0.0	0.48	132d 23h		2883.7	298.8	9.1	2575.8	0.3	1:285.7	0.89
Mongolia	3.309	315	5	0	310	0.06	0.36	0	0.07	stable		9.5	0.2	0.0	9.4	0.0	na	0.98
Kyrgyzstan	6.524	48617	3443	1077	44097	0.5	2.4	0.13	0.25	139d 22h	>1yr	745.3	52.8	16.5	676.0	2.4	1:41.0	0.91
Bhutan	0.742	306	24	0	282	0.53	-4.02	0	1.49	130d 13h		41.3	3.2	0.0	38.0	0.0	na	0.92
Nepal	29.61	100676	27053	600	73023	3.01	3.85	1.98	2.18	23d 8h	35d 7h	340.0	91.4	2.0	246.6	0.8	1:122.0	0.73
Syria	17.5	4616	3163	218	1235	1.12	0.87	0.96	0.97	62d 5h	72d 15h	26.4	18.1	1.2	7.1	17.6	1:5.7	0.27
West Bank and Gaza	3.7	43664	6375	367	36922	1.02	-0.48	1.7	1.07	68d 2h	41d 0h	1180.1	172.3	9.9	997.9	1.0	1:101.0	0.85
Burma	68.67	23906	16602	566	6738	6.09	5.02	5.41	4.17	11d 17h	13d 3h	34.8	24.2	0.8	9.8	8.4	1:11.9	0.28
Yemen	28.25	2051	129	593	1329	0.1	-0.3	0.07	0.14	>1yr	stable	7.3	0.5	2.1	4.7	44.6	1:2.2	0.65
Tajikistan	9.28	10137	1099	79	8959	0.4	-0.05	0.0	0.37	172d 4h		109.2	11.8	0.9	96.5	0.9	1:113.6	0.88
Asia	4546.98	11516736	1478761	208261	9829714	0.95	-0.23	0.67	0.92	73d 7h	103d 8h	253.3	32.5	4.6	216.2	2.1	1:47.2	0.85
Timor-Leste	1.26	28	0	0	28	0.0	0	0	0.0			2.2	0.0	0.0	2.2	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	90751	371	4739	85641	5.5	1:18.1	0.94	0.05	0.05	0.05	0.05	0.05	0.09	China
Iran	83.298	492378	62901	28098	401379	7.0	1:14.3	0.82	0.06	0.06	0.06	0.06	0.06	9.12	Iran
Korea, South	51.781	24548	1494	430	22624	1.9	1:52.6	0.92	0.02	0.02	0.02	0.02	0.02	0.22	Korea, South
Japan	126.01	88267	6504	1623	80140	2.0	1:49.3	0.91	0.02	0.02	0.02	0.02	0.02	0.35	Japan
Malaysia	32.726	14722	3863	152	10707	1.4	1:70.4	0.73	0.01	0.01	0.01	0.01	0.01	0.13	Malaysia
Israel	9.175	287858	60724	1886	225248	0.8	1:119.0	0.78	0.01	0.01	0.01	0.01	0.01	5.56	Israel
Qatar	2.747	127600	2822	219	124559	0.2	1:555.6	0.98	0.0	0.0	0.0	0.0	0.0	2.15	Qatar
Pakistan	219.017	318266	8646	6558	303062	2.2	1:46.3	0.95	0.02	0.02	0.02	0.02	0.02	0.81	Pakistan
Turkey	83.155	332382	31906	8722	291754	3.0	1:33.4	0.88	0.03	0.03	0.03	0.03	0.03	2.83	Turkey
Singapore	5.704	57859	157	27	57675	0.1	1:2000.0	1.0	0.0	0.0	0.0	0.0	0.0	0.13	Singapore
Indonesia	266.912	324658	65314	11677	247667	4.7	1:21.2	0.76	0.04	0.04	0.04	0.04	0.04	1.18	Indonesia
Bahrain	1.543	74860	4183	271	70406	0.4	1:263.2	0.94	0.0	0.0	0.0	0.0	0.0	4.75	Bahrain
Saudi Arabia	34.218	338539	9261	4996	324282	1.5	1:64.9	0.96	0.01	0.01	0.01	0.01	0.02	3.95	Saudi Arabia
Thailand	66.484	3634	130	59	3445	1.7	1:58.5	0.95	0.02	0.02	0.02	0.02	0.02	0.02	Thailand
Philippines	108.434	334770	53311	6152	275307	2.2	1:44.8	0.82	0.02	0.02	0.02	0.02	0.02	1.53	Philippines
India	1360.054	6979423	883185	107416	5988822	1.8	1:55.9	0.86	0.02	0.02	0.02	0.02	0.02	2.13	India
Iraq	39.128	397780	59948	9735	328097	3.0	1:33.7	0.82	0.02	0.03	0.03	0.03	0.03	6.72	Iraq
Lebanon	6.825	51170	28313	450	22407	2.0	1:49.8	0.44	0.01	0.01	0.01	0.01	0.01	1.78	Lebanon
Kuwait	4.42	110076	7403	649	102024	0.6	1:156.2	0.93	0.01	0.01	0.01	0.01	0.01	3.97	Kuwait
United Arab Emirates	9.89	104004	8659	442	94903	0.5	1:212.8	0.91	0.0	0.0	0.0	0.0	0.0	1.21	United Arab Emirates
Taiwan	23.604	527	32	7	488	1.4	1:69.9	0.93	0.01	0.01	0.01	0.01	0.01	0.01	Taiwan
Vietnam	96.209	1105	46	35	1024	3.4	1:29.2	0.93	0.03	0.03	0.03	0.03	0.03	0.01	Vietnam
Brunei	0.442	146	0	3	143	2.1	1:47.6	0.98	0.02	0.02	0.02	0.02	0.02	0.18	Brunei
Jordan	10.641	22763	16691	166	5906	2.8	1:35.6	0.26	0.01	0.01	0.01	0.01	0.02	0.42	Jordan
Sri Lanka	21.803	4523	1214	13	3296	0.4	1:256.4	0.73	0.0	0.0	0.0	0.0	0.0	0.02	Sri Lanka
Oman	4.665	104129	11389	1009	91731	1.1	1:90.9	0.88	0.01	0.01	0.01	0.01	0.01	5.85	Oman
Kazakhstan	18.667	108663	3007	1746	103910	1.7	1:59.5	0.96	0.02	0.02	0.02	0.02	0.02	2.53	Kazakhstan
Cambodia	15.289	283	6	0	277	0.0	na	0.98	0.0	0.0	0.0	0.0	0.0	0.0	Cambodia
Uzbekistan	34.081	60342	2623	498	57221	0.9	1:114.9	0.95	0.01	0.01	0.01	0.01	0.01	0.39	Uzbekistan
Afghanistan	32.226	39693	5163	1472	33058	4.5	1:22.5	0.83	0.04	0.04	0.04	0.04	0.04	1.23	Afghanistan
Bangladesh	168.304	375870	80481	5477	289912	1.9	1:52.9	0.77	0.01	0.01	0.01	0.02	0.02	0.88	Bangladesh
Maldives	0.375	10808	1120	34	9654	0.3	1:285.7	0.89	0.0	0.0	0.0	0.0	0.0	2.45	Maldives
Mongolia	3.309	315	5	0	310	0.0	na	0.98	0.0	0.0	0.0	0.0	0.0	0.0	Mongolia
Kyrgyzstan	6.524	48617	3443	1077	44097	2.4	1:41.0	0.91	0.02	0.02	0.02	0.02	0.02	4.46	Kyrgyzstan
Bhutan	0.742	306	24	0	282	0.0	na	0.92	0.0	0.0	0.0	0.0	0.0	0.0	Bhutan
Nepal	29.61	100676	27053	600	73023	0.8	1:122.0	0.73	0.01	0.01	0.01	0.01	0.01	0.55	Nepal
Syria	17.5	4616	3163	218	1235	17.6	1:5.7	0.27	0.05	0.05	0.05	0.05	0.05	0.34	Syria
West Bank and Gaza	3.7	43664	6375	367	36922	1.0	1:101.0	0.85	0.01	0.01	0.01	0.01	0.01	2.68	West Bank and Gaza
Burma	68.67	23906	16602	566	6738	8.4	1:11.9	0.28	0.02	0.03	0.03	0.04	0.06	0.22	Burma
Yemen	28.25	2051	129	593	1329	44.6	1:2.2	0.65	0.29	0.29	0.29	0.29	0.29	0.57	Yemen
Tajikistan	9.28	10137	1099	79	8959	0.9	1:113.6	0.88	0.01	0.01	0.01	0.01	0.01	0.23	Tajikistan
Asia	4546.98	11516736	1478761	208261	9829714	2.1	1:47.2	0.85	0.02	0.02	0.02	0.02	0.02	1.24	Asia
Timor-Leste	1.26	28	0	0	28	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