Comparison graph of Coronavirus infection spreading between different countries and state around the globe world-wide. Current display: united states of america

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Accumulating Cases New Cases Accumulating Deaths New Deaths New cases per 100,000 persons X-Axis:

By Dates Starting point from 100 cases

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Interesting

israel

italy

united states of america

united kingdom

china

france

iran

germany

spain

south korea a

afghanistan

albania

algeria

andorra

angola

anguilla

antigua and barbuda

argentina

armenia

aruba

australia

austria

azerbaijan b

bahamas

bahrain

bangladesh

barbados

belarus

belgium

belize

benin

bermuda

bhutan

bolivia

bonaire, saint eustatius and saba

bosnia and herzegovina

botswana

brazil

british virgin islands

brunei darussalam

bulgaria

burkina faso

burundi c

cambodia

cameroon

canada

cape verde

cayman islands

central african republic

chad

chile

colombia

comoros

congo

costa rica

cote divoire

croatia

cuba

curaÃ§ao

cyprus

czechia d

democratic republic of the congo

denmark

djibouti

dominica

dominican republic e

ecuador

egypt

el salvador

equatorial guinea

eritrea

estonia

eswatini

ethiopia f

falkland islands (malvinas)

faroe islands

fiji

finland

french polynesia g

gabon

gambia

georgia

ghana

gibraltar

greece

greenland

grenada

guam

guatemala

guernsey

guinea

guinea bissau

guyana h

haiti

holy see

honduras

hungary i

iceland

india

indonesia

iraq

ireland

isle of man j

jamaica

japan

jersey

jordan k

kazakhstan

kenya

kosovo

kuwait

kyrgyzstan l

laos

latvia

lebanon

lesotho

liberia

libya

liechtenstein

lithuania

luxembourg m

madagascar

malawi

malaysia

maldives

mali

malta

mauritania

mauritius

mexico

moldova

monaco

mongolia

montenegro

montserrat

morocco

mozambique

myanmar n

namibia

nepal

netherlands

new caledonia

new zealand

nicaragua

niger

nigeria

north macedonia

northern mariana islands

norway o

oman p

pakistan

palestine

panama

papua new guinea

paraguay

peru

philippines

poland

portugal

puerto rico q

qatar r

romania

russia

rwanda s

saint kitts and nevis

saint lucia

saint vincent and the grenadines

san marino

sao tome and principe

saudi arabia

senegal

serbia

seychelles

sierra leone

singapore

sint maarten

slovakia

slovenia

somalia

south africa

south sudan

sri lanka

sudan

suriname

sweden

switzerland

syria t

taiwan

tajikistan

thailand

timor leste

togo

trinidad and tobago

tunisia

turkey

turks and caicos islands u

uganda

ukraine

united arab emirates

united republic of tanzania

united states virgin islands

uruguay

uzbekistan v

venezuela

vietnam w

western sahara y

yemen z

zambia

zimbabwe

Why did you create this comparison graph of Corona Virus infection spreading ?

I created the comparison graph to understand better what's going on. I have also created a more detailed graph of Coronavirus spreading in Israel in order to see where is this thing going and how different countries and states cope with the infection differently. I have also added realtime view of new COVID-19 infection cases in each country.

Where do you get the data from and is it accurate ?

I get the data from - https://www.worldometers.info/coronavirus/ and it is not so accurate so please be advised.

What do I think of the Corona Virus

I think that after we understood how does it spread and infect, and what are the symptoms and fatality reate, there are two main open questions:

1. Can you be re-infected hence get infeceted again after you already healed ? - and what is the timing of re-infections.

2. Are there any permanent damages left from the virus after you heal ?



I invite you to view additional data

1. The World Health Organization WHO.

2. Realtime view of infections and new cases in different countries. 3. The comparison graph of Covid-19 between countries in Hebrew.

4. Israel Dashboard of Covid-19 - different graphs and statistic data of the Coronvirus in Israel.



Normalize the graph according the country population

Many have asked me to add normalization to the graph according the the size of the population in each country and show the percentage of infections relatively to the number of people in each country. I am working on it and I will add it as soon as I can. Yet. I am not sure it is relevant (except for the maximum number maybe) since a specific indevidual have the option to meet the same number of people no matter to the size of the population. It might be affected by the type of country and social distance keeped in each country. But a person going to the mall in the US in the same as a person going to the mall in France although there are many more people living in the US.

Which technologies have I used ?

My favorite technologies, vanilla javascript :-), and of course php - no hipsters version, and sqlite.