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COVID-19 Travel Information Worldwide

Isolation and quarantine measures save lives!

Follow government recommendations with respect to quarantine and isolation.

A large part of the currently available statistics and maps on the coronavirus (COVID-19) are of limited value for the purpose of assessing travel related risks. We have collected the most relevant statistics for travellers to evaluate related health risk, pandemic curves per country, travel restrictions.
 

I. Worldwide infections/deaths per capita

Timelines based on new deaths per capita may be particularly useful for assessing health related risks for travellers (see Which COVID-19 statistics are most relevant for travellers?)
Below you find daily updated statistics based on data from the European Centre of Disease Prevention and Control (ECDC) and “Our World in Data”.
World Map: Daily new confirmed deaths due to COVID-19 per million people
Most popular language travel destinations: Timeline of confirmed deaths due to COVID-19 per million people
Most popular language travel destinations: Timeline of confirmed infections with COVID-19 per million people
COVID-19 regional distribution
Different regions within a country may have been affected to vastly different degrees by Covid 19. Urban areas with high population density tend to be affected on average stronger and earlier. It seems regions in colder climates tend to be affected stronger on average than warmer regions. Regions that have been affected earlier and stronger may not necessarily pose the highest current risk as some heavily affected regions may already be in a later stage of the pandemic curve.
COVID-19 Case fatality rates by age
COVID-19 Case fatality rates by age 

II. Travel restrictions

Travel restrictions: Countries implementing a global travel ban
Travel restrictions: Countries implementing a global travel ban
Other countries have implemented mandatory quarantine measures for people travelling to the country or travel restrictions for travellers from specific countries.
 

III. School closures

The graphs below are based on public schools. In some countries different regulations may apply for private schools, such as language schools.
School closures: Worldwide
School closures: Worldwide
Country-wide school closures. School closures just in some regions with high infection rates. No school closures. Unknown.
School closures: United States - Dates of closure
 

IV. Video

Kurzgesagt Video: The coronavirus explained & What you should do
 

V. Which COVID-19 statistics are most relevant for travellers?

For assessing travel related risks the following points should be considered when reading statistics:
Per capita data instead of total country data:
Most statistics provide numbers simply aggregated by country instead of per capita data per country. Consequently risks in countries with smaller populations may be underestimated compared to risks in countries with larger populations.
Deaths instead of confirmed cases/infections:
Due to limited testing capacities in many countries only a fraction of patients with symptoms are actually tested. Moreover, countries engaging in effective identification of contacts of positively tested patients will consequently identify many cases that may go undetected in countries without such effective identification and notification of contacts. While this will lead to higher numbers of confirmed cases, it will in fact reduce the infection risk for the individual and the population. Regarding reported deaths it is important to consider that most countries count in their statistics deaths with Covid 19, instead of deaths because of Covid 19. This means statistics may count some deaths because of other reasons but which were tested positive on Covid-19. Despite challenges in the attribution of cause of deaths, the number of deaths as an indicator seems much more reliable and more meaningful for comparing risks in different countries, than counts of infections. The downside of looking at “confirmed deaths” as an indicator is that it comes with some weeks of delay compared to data on confirmed infections. Therefore observations of trends are even more important when looking at data of deaths.
New deaths/cases instead data aggregated over all time:
Different countries are at different points at the curve of the pandemic at any given time. Countries such as China have a large number of aggregated cases, while the number of new infections is actually very low these days. One may, therefore, underestimate the risk in countries with increasing numbers of cases compared to countries with decreasing numbers of cases.
Graph with time lines of historic data instead of single point data:
Data presented in time lines will inform about the curve of the epidemic in a given country and give clues on the potential future development.
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