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Coronavirus in Malaysia

Affected Population

0.0073 %

This is the part of confirmed infection cases against the total 32 million of its population.

Affected 1 of every 13,771
Failed to recover 1 of every 1,183,326

Recovery Pie

The whole pie reflects the total number of confirmed cases of people infected by coronavirus in Malaysia.

Raw Numbers on March 28th, 2020

2,320confirmed

320recovered

27failed

1,973active

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in Malaysia and confirmed to be infected. It includes three parts: those who could or could not recover and those who are currently in the active phase of the disease.

New Confirmed Cases

This graph shows the number of new cases by day. The lightblue bars are the number of the new total confirmed cases appeared that day.

Daily Speed

This graph shows the speed of growth (in %) over time in Malaysia. The main three parameters are the number of confirmed cases, the number of recoveries and failures. The orange line is the speed of changing of the number of active cases (i.e., of those, who are still ill).

Note. When the speed is positive, the number of cases grows every day. The line going down means that the speed decreases, and while there may be more cases the next day, the disease spread is slowing down. If the speed goes below zero, that means that less cases registered today than yesterday.

Raw Daily Numbers

Date Confirmed
cases
Daily
growth, %
Recovered
cases
Failed
cases
Active
cases
Recovery
rate, %
Mortality
rate, %
Affected
population, %
1 confirmed
per every
1 failed
per every
Mar 28th 2,320 7.4 % 320 27 1,973 13.8 % 1.2 % 0.0073 % 13,771 1,183,326
Mar 27th 2,161 6.4 % 259 26 1,876 12.0 % 1.2 % 0.0068 % 14,785 1,228,838
Mar 26th 2,031 13.1 % 215 23 1,793 10.6 % 1.1 % 0.0064 % 15,731 1,389,122
Mar 25th 1,796 10.6 % 199 20 1,577 11.1 % 1.1 % 0.0056 % 17,789 1,597,490
Mar 24th 1,624 7.0 % 183 16 1,425 11.3 % 1.0 % 0.0051 % 19,674 1,996,863
Mar 23th 1,518 16.2 % 159 14 1,345 10.5 % 0.9 % 0.0048 % 21,047 2,282,129
Mar 22nd 1,306 10.4 % 139 10 1,157 10.6 % 0.8 % 0.0041 % 24,464 3,194,980
Mar 21st 1,183 14.9 % 114 4 1,065 9.6 % 0.3 % 0.0037 % 27,007 7,987,450
Mar 20th 1,030 14.4 % 87 3 940 8.4 % 0.3 % 0.0032 % 31,019 10,649,933
Mar 19th 900 13.9 % 75 2 823 8.3 % 0.2 % 0.0028 % 35,500 15,974,900
Mar 18th 790 17.4 % 60 2 728 7.6 % 0.3 % 0.0025 % 40,443 15,974,900
Mar 17th 673 18.9 % 49 2 622 7.3 % 0.3 % 0.0021 % 47,474 15,974,900
Mar 16th 566 32.2 % 42 0 524 7.4 % 0.0 % 0.0018 % 56,448
Mar 15th 428 79.8 % 42 0 386 9.8 % 0.0 % 0.0013 % 74,649
Mar 14th 238 20.8 % 35 0 203 14.7 % 0.0 % < 0.001 % 134,243
Mar 13th 197 32.2 % 26 0 171 13.2 % 0.0 % < 0.001 % 162,182
Mar 12th 149 0.0 % 26 0 123 17.4 % 0.0 % < 0.001 % 214,428
Mar 11th 149 15.5 % 26 0 123 17.4 % 0.0 % < 0.001 % 214,428
Mar 10th 129 10.3 % 24 0 105 18.6 % 0.0 % < 0.001 % 247,673
Mar 9th 117 18.2 % 24 0 93 20.5 % 0.0 % < 0.001 % 273,075
Mar 8th 99 6.5 % 24 0 75 24.2 % 0.0 % < 0.001 % 322,725
Mar 7th 93 12.0 % 23 0 70 24.7 % 0.0 % < 0.001 % 343,546
Mar 6th 83 66.0 % 22 0 61 26.5 % 0.0 % < 0.001 % 384,937
Mar 5th 50 0.0 % 22 0 28 44.0 % 0.0 % < 0.001 % 638,996
Mar 4th 50 38.9 % 22 0 28 44.0 % 0.0 % < 0.001 % 638,996
Mar 3rd 36 24.1 % 22 0 14 61.1 % 0.0 % < 0.001 % 887,494
Mar 2nd 29 0.0 % 18 0 11 62.1 % 0.0 % < 0.001 % 1,101,717
Mar 1st 29 16.0 % 18 0 11 62.1 % 0.0 % < 0.001 % 1,101,717
Feb 29th 25 8.7 % 18 0 7 72.0 % 0.0 % < 0.001 % 1,277,992
Feb 28th 23 0.0 % 18 0 5 78.3 % 0.0 % < 0.001 % 1,389,122
Feb 27th 23 4.5 % 18 0 5 78.3 % 0.0 % < 0.001 % 1,389,122
Feb 26th 22 0.0 % 18 0 4 81.8 % 0.0 % < 0.001 % 1,452,264
Feb 25th 22 0.0 % 18 0 4 81.8 % 0.0 % < 0.001 % 1,452,264
Feb 24th 22 0.0 % 18 0 4 81.8 % 0.0 % < 0.001 % 1,452,264
Feb 23th 22 0.0 % 15 0 7 68.2 % 0.0 % < 0.001 % 1,452,264
Feb 22nd 22 0.0 % 15 0 7 68.2 % 0.0 % < 0.001 % 1,452,264
Feb 21st 22 0.0 % 15 0 7 68.2 % 0.0 % < 0.001 % 1,452,264
Feb 20th 22 0.0 % 15 0 7 68.2 % 0.0 % < 0.001 % 1,452,264
Feb 19th 22 0.0 % 15 0 7 68.2 % 0.0 % < 0.001 % 1,452,264
Feb 18th 22 0.0 % 13 0 9 59.1 % 0.0 % < 0.001 % 1,452,264
Feb 17th 22 0.0 % 7 0 15 31.8 % 0.0 % < 0.001 % 1,452,264
Feb 16th 22 0.0 % 7 0 15 31.8 % 0.0 % < 0.001 % 1,452,264
Feb 15th 22 15.8 % 7 0 15 31.8 % 0.0 % < 0.001 % 1,452,264
Feb 14th 19 0.0 % 3 0 16 15.8 % 0.0 % < 0.001 % 1,681,568
Feb 13th 19 5.6 % 3 0 16 15.8 % 0.0 % < 0.001 % 1,681,568
Feb 12th 18 0.0 % 3 0 15 16.7 % 0.0 % < 0.001 % 1,774,989
Feb 11th 18 0.0 % 3 0 15 16.7 % 0.0 % < 0.001 % 1,774,989
Feb 10th 18 12.5 % 1 0 17 5.6 % 0.0 % < 0.001 % 1,774,989
Feb 9th 16 0.0 % 1 0 15 6.3 % 0.0 % < 0.001 % 1,996,863
Feb 8th 16 33.3 % 1 0 15 6.3 % 0.0 % < 0.001 % 1,996,863
Feb 7th 12 0.0 % 1 0 11 8.3 % 0.0 % < 0.001 % 2,662,483
Feb 6th 12 0.0 % 0 0 12 0.0 % 0.0 % < 0.001 % 2,662,483
Feb 5th 12 20.0 % 0 0 12 0.0 % 0.0 % < 0.001 % 2,662,483
Feb 4th 10 25.0 % 0 0 10 0.0 % 0.0 % < 0.001 % 3,194,980
Feb 3rd 8 0.0 % 0 0 8 0.0 % 0.0 % < 0.001 % 3,993,725
Feb 2nd 8 0.0 % 0 0 8 0.0 % 0.0 % < 0.001 % 3,993,725
Feb 1st 8 0.0 % 0 0 8 0.0 % 0.0 % < 0.001 % 3,993,725
Jan 31st 8 0.0 % 0 0 8 0.0 % 0.0 % < 0.001 % 3,993,725
Jan 30th 8 14.3 % 0 0 8 0.0 % 0.0 % < 0.001 % 3,993,725
Jan 29th 7 75.0 % 0 0 7 0.0 % 0.0 % < 0.001 % 4,564,257
Jan 28th 4 0.0 % 0 0 4 0.0 % 0.0 % < 0.001 % 7,987,450
Jan 27th 4 0.0 % 0 0 4 0.0 % 0.0 % < 0.001 % 7,987,450
Jan 26th 4 33.3 % 0 0 4 0.0 % 0.0 % < 0.001 % 7,987,450
Jan 25th 3 0 0 3 0.0 % 0.0 % < 0.001 % 10,649,933

Statistics per Continent

Spread over the continents timeline

Whole world

Africa

Asia

Europe

North America

Oceania

South America

Statistics per Country

The whole world

World excluding China

More statistics on countries

Countries vs China

Whole world

Afghanistan

Albania

Algeria

Andorra

Angola

Anguilla

Antigua and Barbuda

Argentina

Armenia

Aruba

Australia

Austria

Azerbaijan

Bahamas

Bahrain

Bangladesh

Barbados

Belarus

Belgium

Belize

Benin

Bermuda

Bhutan

Bolivia

Bosnia and Herzegovina

Brazil

British Virgin Islands

Brunei Darussalam

Bulgaria

Burkina Faso

Cabo Verde

Cambodia

Cameroon

Canada

Cayman Islands

Central African Republic

Chad

Chile

China

Colombia

Congo

Costa Rica

Croatia

Cuba

Curaçao

Cyprus

Czechia

Dem. Rep. of the Congo

Denmark

Djibouti

Dominica

Dominican Republic

Ecuador

Egypt

El Salvador

Equatorial Guinea

Eritrea

Estonia

Eswatini

Ethiopia

Faroe Islands

Fiji

Finland

France

French Guiana

French Polynesia

Gabon

Gambia

Georgia

Germany

Ghana

Gibraltar

Greece

Greenland

Grenada

Guadeloupe

Guam

Guatemala

Guinea

Guinea-Bissau

Guyana

Haiti

Holy See

Honduras

Hungary

Iceland

India

Indonesia

Iran

Iraq

Ireland

Isle of Man

Israel

Italy

Jamaica

Japan

Jordan

Kazakhstan

Kenya

Kosovo

Kuwait

Kyrgyzstan

Lao People's Dem. Rep.

Latvia

Lebanon

Liberia

Libya

Liechtenstein

Lithuania

Luxembourg

Madagascar

Malaysia

Maldives

Mali

Malta

Martinique

Mauritania

Mauritius

Mayotte

Mexico

Moldova

Monaco

Mongolia

Montenegro

Montserrat

Morocco

Mozambique

Myanmar

Namibia

Nepal

Netherlands

New Caledonia

New Zealand

Nicaragua

Niger

Nigeria

North Macedonia

Norway

Oman

Pakistan

Panama

Papua New Guinea

Paraguay

Peru

Philippines

Poland

Portugal

Puerto Rico

Qatar

Réunion

Romania

Russian Federation

Rwanda

Saint Barthélemy

Saint Kitts and Nevis

Saint Lucia

San Marino

Saudi Arabia

Senegal

Serbia

Seychelles

Singapore

Sint Maarten

Slovakia

Slovenia

Somalia

South Africa

South Korea

Spain

Sri Lanka

State of Palestine

Sudan

Suriname

Sweden

Switzerland

Syrian Arab Republic

Taiwan

Tanzania

Thailand

Timor-Leste

Togo

Trinidad and Tobago

Tunisia

Turkey

Turks and Caicos Islands

Uganda

Ukraine

United Arab Emirates

United Kingdom

United States of America

Uruguay

Uzbekistan

Venezuela

Viet Nam

Zambia

Zimbabwe

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Based on data collected by the Johns Hopkins University Center for Systems Science and Engineering.

This website presents the very same data as the JHU’s original dashboard but from a less-panic perspective. Updated daily around 8 a.m. European time.

Read the Technology blog. Look at the source code: GitHub. Powered by Raku.

Created by Andrew Shitov. Twitter: @andrewshitov. Contact by e-mail.