Last update
09 September 2026
This site is updated once daily. There are several other excellent COVID mapping tools available, including those run by
the WHO,
Johns Hopkins University,
and
Our World in Data.
Our aim is to complement these resources with several interactive features, including the timeline function and the ability to overlay past outbreaks.
Background
In December 2019, cases of severe respiratory illness began to be reported across the city of Wuhan in China.
These were caused by a new type of coronavirus, and the disease is now commonly referred to as COVID-19.
The number of COVID-19 cases started to escalate more quickly in mid-January and the virus soon spread beyond China's borders.
This story has been rapidly evolving ever since, and each day we are faced by worrying headlines regarding the current state of the outbreak.
In isolation, these headlines can be hard to interpret.
How fast is the virus spreading? Are efforts to control the disease working? How does the situation compare with previous epidemics?
This site is updated daily based on data published by Johns Hopkins University.
By looking beyond the headlines, we hope it is possible to get a deeper understanding of this unfolding pandemic.
An article discussing this site was published in
The Conversation.
The map was also featured on the BBC World Service program
Science in Action.
Code
Code and input data used to generate this Shiny mapping tool are available on
Github.
Sources
2019-COVID cases:
Johns Hopkins Center for Systems Science and Engineering github page,
with additional information from the
WHO's COVID-19 situation reports.
In previous versions of this site (up to 17th March 2020), updates were based solely on the WHO's situation reports.
US state-level case data:
New York Times github page,
2003-SARS cases:
WHO situation reports
2009-H1N1 confirmed deaths:
WHO situation reports
2009-H1N1 projected deaths:
Model estimates from
GLaMOR Project
2009-H1N1 cases:
CDC
2009-H1N1 case fatality rate:
a systematic review by
Wong et al (2009)
identified
substantial variation in case fatality rate estimates for the H1N1 pandemic. However, most were in the range of 10 to 100 per 100,000 symptomatic cases (0.01 to 0.1%).
The upper limit of this range is used for illustrative purposes in the Outbreak comarisons tab.
2014-Ebola cases:
CDC
Country mapping coordinates:
Martyn Afford's Github repository
Authors
Dr Edward Parker, The Vaccine Centre, London School of Hygiene & Tropical Medicine
Quentin Leclerc, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine
Contact
edward.parker@lshtm.ac.uk