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Coronavirus in Serbia

Affected Population

0.0075 %

This is the part of confirmed infection cases against the total 9 million of its population.

Affected 1 of every 13,311
Failed to recover 1 of every 877,220

Recovery Pie

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

Raw Numbers on March 28th, 2020

659confirmed

0recovered

10failed

649active

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in Serbia 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 Serbia. 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 659 44.2 % 0 10 649 0.0 % 1.5 % 0.0075 % 13,311 877,220
Mar 27th 457 19.0 % 0 1 456 0.0 % 0.2 % 0.0052 % 19,195 8,772,200
Mar 26th 384 0.0 % 0 1 383 0.0 % 0.3 % 0.0044 % 22,844 8,772,200
Mar 25th 384 26.7 % 15 4 365 3.9 % 1.0 % 0.0044 % 22,844 2,193,050
Mar 24th 303 21.7 % 15 3 285 5.0 % 1.0 % 0.0035 % 28,951 2,924,067
Mar 23th 249 12.2 % 3 3 243 1.2 % 1.2 % 0.0028 % 35,230 2,924,067
Mar 22nd 222 29.8 % 2 2 218 0.9 % 0.9 % 0.0025 % 39,514 4,386,100
Mar 21st 171 26.7 % 1 1 169 0.6 % 0.6 % 0.0019 % 51,299 8,772,200
Mar 20th 135 31.1 % 1 1 133 0.7 % 0.7 % 0.0015 % 64,979 8,772,200
Mar 19th 103 24.1 % 1 0 102 1.0 % 0.0 % 0.0012 % 85,167
Mar 18th 83 27.7 % 1 0 82 1.2 % 0.0 % < 0.001 % 105,689
Mar 17th 65 18.2 % 1 0 64 1.5 % 0.0 % < 0.001 % 134,957
Mar 16th 55 14.6 % 1 0 54 1.8 % 0.0 % < 0.001 % 159,495
Mar 15th 48 4.3 % 0 0 48 0.0 % 0.0 % < 0.001 % 182,754
Mar 14th 46 31.4 % 0 0 46 0.0 % 0.0 % < 0.001 % 190,700
Mar 13th 35 84.2 % 0 0 35 0.0 % 0.0 % < 0.001 % 250,634
Mar 12th 19 58.3 % 0 0 19 0.0 % 0.0 % < 0.001 % 461,695
Mar 11th 12 140.0 % 0 0 12 0.0 % 0.0 % < 0.001 % 731,017
Mar 10th 5 400.0 % 0 0 5 0.0 % 0.0 % < 0.001 % 1,754,440
Mar 9th 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 8,772,200
Mar 8th 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 8,772,200
Mar 7th 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 8,772,200
Mar 6th 1 0 0 1 0.0 % 0.0 % < 0.001 % 8,772,200

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.