More trusting societies see more success in reducing coronavirus cases, deaths, researchers find
(University of Exeter) - Countries where people have more trust in each other have been more successful in bringing down waves of coronavirus cases and deaths, a new study shows.
Researchers found there is a “threshold effect” in nations where at least 40 per cent of people agree “most people can be trusted”. This supported effective reduction of cases and deaths during 2020.
Previous studies show levels of trust in the UK are at the critical 40 per cent compared to more than 60 per cent in Scandinavian countries. China also has high levels of trust within society.
Analysing coronavirus data during 2020 the researchers found more trusting societies tended to achieve a faster decline in infections and deaths from peak levels.
This is likely because behaviours vital to stopping the spread of COVID-19, such as mask wearing and social distancing depend on mutual trust to be effective.
The study, by Professor Tim Lenton and Dr Chris Boulton from the University of Exeter, and Professor Marten Scheffer from Wageningen University, is published in the journal Scientific Reports.
Professor Lenton, Director of the Global Systems Institute, said: “Our results add to evidence that trust within society benefits resilience to epidemics. Building trust within communities should be a long-term project for all nations because this will help them cope with future pandemics and other challenges such as extreme events caused by climate change.”
The study shows the effect of stringent government interventions on coronavirus spread is not straightforward. Most governments applied similarly stringent restrictions but had hugely varying success in bringing down case numbers and deaths. This is partly because more stringent governments tend to be associated with less trusting societies.
The researchers measured more than 150 countries’ resilience to COVID-19 as the nationwide decay rate of daily cases or deaths from peak levels, using information from the Our World in Data COVID19 dataset up to 1 December 2020 – before vaccines were available.