Number of commuters and mortality rate of COVID-19
The results of our spatial regression model suggest that, in general, the higher the commuting flow, especially by public transport, the higher the COVID-19 mortality rate. Our results are consistent with a decrease in COVID-related mortality following the introduction of a nationwide blockade in March. The spatial lag term is statistically significant, highlighting the importance of accounting for spatial dependence.
Igor Francetic, Luke Munford, Corona, Coffee on the commute: a spatial analysis of COVID-19 mortality and commuting flows in the UK in 2020, European Journal of Public Health, 2021;, ckab072, https. //doi.org/10.1093/ eurpub / ckab072
Explanation
This study is a spatial analysis of the association between commuting flows and COVID-19 mortality in the UK from March to June 2020.
The average COVID-19 mortality rate for the four months studied was reported to be 87.5 deaths per 100,000 people, with the highest figure stated for April in particular. The figure is 52.9 per 100,000 people. However, due to variables such as commuting, unemployment, and age group, these figures are summary statistics.
Some of the results, such as an increase in the COVID-19 mortality rate by 8.2 deaths per 100,000 people for a 10 percentage point increase in the number of people entering a municipal district (P ≪ 0.001), showed that this number increased or decreased in other settings, but the results supported that the mortality rate after infection increased as the number of commuters increased The results support that the mortality rate after infection increases as the number of commuters increases.
The situation in Japan is that many Japanese are still going to work, although some companies are asking people to limit their time away from the office and some are making it possible for people to work online. The number of infections and deaths is not as high as in other countries, so the current thinking is biased by specialty, but some are alarmed by the critical situation, while others are optimistic.