![]() Try changing this setting while comparing Belgium to the US or China." Switching to the “per 100k” view won’t alter the shape of each country’s curve, but will reorder them relative to one another.Īdjusted for population, small countries with broad definitions for what cases or deaths to include in their data will look particularly badly affected, while epidemics concentrated in parts of a very populous country look surprisingly small. Later, though, viewing the values per 100,000 people gives a sense of the pandemic’s relative strain on countries’ resources. Population matters least in the early stages of an epidemic because cases are likely to be highly concentrated in particular regions like Hubei or Lombardy. Viruses don’t respect borders, and the rate at which they spread is not affected by the overall population of the affected country. Unusually for cross-national data, adjusting for population isn’t strictly necessary when analysing the speed at which a virus spreads. On the more familiar linear scale, the same data looks like a hockey stick shooting upwards, which gives a better sense of the overall size of each country’s epidemic. On a log scale, an epidemic looks like a steep diagonal line that flattens towards a horizontal line as its rate of growth slows. By comparing the slopes of two lines, a log scale allows us to compare epidemics at a very early stage with those that are much more advanced, even though they have very different absolute numbers of cases or deaths. Log scales are particularly suited to displaying trends in relative rates of change, like a virus spreading. The vertical axis of our charts are shown using a logarithmic scale, where the same distance on the scale represents multiplying or dividing by the same amount, instead of adding or subtracting the same amount as is the case with a linear scale. The FT is tracking excess mortality - the difference between deaths from all causes during the pandemic and the historic seasonal average - in the handful of countries and municipalities that publish suitably recent data, and has reported on the specific circumstances in Mexico, Russia, South Africa, Turkey and the UK." Logarithmic or linear scales Some countries like France and the UK have even changed which deaths they include during the course of the epidemic.įor either measure, we use a seven-day rolling average to adjust for the impact of administrative delays to reporting new data over weekends. The most notable difference between countries’ Covid mortality figures is whether or not they include deaths outside hospitals, particularly in care homes. Confirmed case counts depend heavily on the extent of countries’ very different testing regimes, so higher totals may simply reflect more testing.ĭeaths are somewhat more reliable, but remain problematic because countries have different rules for what deaths to include in their official numbers. Today’s provincial figures saw 4 provinces with no new Covid-19 infections: Yasothon, Nakhon Phanom, Nan, and Lampang.Comparing the spread of coronavirus in different countries is difficult using the data being released by governments. And Satun surpassed Nan, Lampang, and Lamphun due to 67 new infections in the past 24 hours.ĭespite 40 new infections yesterday, Mae Hong Son still remains the province with the least Covid-19 infections in Thailand. New Sandbox programme destination Phang Nga also moved up in the total infection ranking, passing Loei today after finding 68 new infections. Future Sandbox location on November 1 Chiang Mai had 225 new infections as it overtook both Samut Songkhram and Nakhon Nayok in total cases. In provincial totals, Khon Kaen, with 305 new infections, just passed Sandbox destination Surat Thani (277 infections) in total Covid-19 cases today and Chumphon’s 115 new infections surpassed Ang Thong. High Covid-19 infections in the Deep South fuel lockdown fears.Viral LINE post among students claims Pfizer vaccine is a killer.Covid-19 restrictions eased: domestic flights can fly full.According to their data (each governmental office seems to produce different data regarding vaccinations), on September 30, Thailand administered a record of just under 2.3 million vaccines. Daily vaccinations topped 1 million on the date with the last reported data from the Department of Disease Control, with 480,064 first doses given, 489,043 second doses, and 40,965 third booster shots. ![]()
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