Warning: This dashboard was not built by an epidemiologist.

Note: Click a country name to open a search results page for that country’s COVID-19 news.

Based on data up to: 2022-09-26. Compared to (10 days before): 2022-09-16

Transmission rate:

Note: "transmission rate" here is a measure of speed of spread of infection, and means how much of the susceptible population each infected person is infecting per day (if everyone is susceptible). E.g. 10% means that 100 infected patients will infect 10 new people per day. Related to R0. See Methodology for details of calculation.

⭕ Bad news: new waves 🇧🇷 🇱🇺 🇿🇦 🇳🇿 🇨🇱 🇧🇭 🇵🇭 🇩🇰

Large increase in transmission rate vs. 10 days ago, that might mean a relapse, new wave, worsening outbreak.

  • Countries are sorted by size of change in transmission rate.
  • Includes only countries that were previously active (more than 100 estimated new cases).
  • "Large increase" = at least +2% change.
  Current:
Estimated
daily
transmission
rate		 10 days ago:
Estimated
daily
transmission
rate		 Estimated
recent cases
in last 5 days		 Estimated
current
ICU need
per 100k
population		 Estimated
total
affected
population
percentage
🇧🇷 Brazil 428.1% 294.1% 40,621 0.24 98.8%
🇱🇺 Luxembourg 11.1% 0.4% 441 1.03 52.7%
🇿🇦 South Africa 21.2% 13.4% 777 0.02 89.4%
🇳🇿 New Zealand 7.8% 1.4% 9,782 2.17 37.1%
🇨🇱 Chile 10.6% 5.6% 15,834 0.99 61.0%
🇧🇭 Bahrain 20.4% 17.4% 1,484 0.22 74.1%
🇵🇭 Philippines 10.8% 8.4% 59,983 0.19 44.8%
🇩🇰 Denmark 12.0% 9.8% 3,878 1.07 59.7%

Tip: Click country name in legend to switch countries. Uze mouse wheel to zoom Y axis. 
/opt/hostedtoolcache/Python/3.8.14/x64/lib/python3.8/site-packages/altair/utils/core.py:317: FutureWarning: iteritems is deprecated and will be removed in a future version. Use .items instead.
  for col_name, dtype in df.dtypes.iteritems():

🟢 Good news: slowing waves 🇸🇰 🇲🇰 🇱🇹 🇦🇫 🇨🇾 🇲🇺 🇵🇱 🇮🇱 🇹🇷 🇦🇲 🇰🇷 🇲🇲 🇷🇴 🇲🇳 🇶🇦 🇭🇳

Large decrease in transmission rate vs. 10 days ago, that might mean a slowing down / effective control measures.

  • Countries are sorted by size of change in transmission rate.
  • Includes only countries that were previously active (more than 100 estimated new cases).
  • "Large decrease" = at least -2% change.
  Current:
Estimated
daily
transmission
rate		 10 days ago:
Estimated
daily
transmission
rate		 Estimated
recent cases
in last 5 days		 Estimated
current
ICU need
per 100k
population		 Estimated
total
affected
population
percentage
🇸🇰 Slovakia 4.3% 64.2% 1,991 1.85 69.0%
🇲🇰 North Macedonia 18.3% 40.7% 238 0.32 91.5%
🇱🇹 Lithuania 8.6% 15.4% 2,677 3.10 58.4%
🇦🇫 Afghanistan 2.5% 8.2% 520 0.01 18.6%
🇨🇾 Cyprus 4.4% 10.1% 419 1.35 48.5%
🇲🇺 Mauritius 2.8% 7.8% 317 0.60 33.8%
🇵🇱 Poland 7.1% 11.9% 10,432 0.64 47.7%
🇮🇱 Israel 7.2% 11.1% 2,401 0.55 60.9%
🇹🇷 Turkey 1.6% 5.2% 3,568 0.21 51.1%
🇦🇲 Armenia 8.1% 11.6% 818 0.44 61.7%
🇰🇷 South Korea 4.4% 7.3% 108,642 6.02 49.3%
🇲🇲 Burma 7.8% 10.5% 1,242 0.01 17.5%
🇷🇴 Romania 4.9% 7.6% 3,581 0.69 55.3%
🇲🇳 Mongolia 2.0% 4.4% 212 0.11 50.7%
🇶🇦 Qatar 5.1% 7.5% 2,106 0.20 25.5%
🇭🇳 Honduras 5.0% 7.3% 285 0.03 54.8%

Tip: Click country name in legend to switch countries. Uze mouse wheel to zoom Y axis. 
/opt/hostedtoolcache/Python/3.8.14/x64/lib/python3.8/site-packages/altair/utils/core.py:317: FutureWarning: iteritems is deprecated and will be removed in a future version. Use .items instead.
  for col_name, dtype in df.dtypes.iteritems():