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COVID-19 lockdowns

Restrictions imposed during the COVID-19 pandemic

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Through COVID-19 pandemic, Government and Authoritarianism

Researchers found the lockdowns may have reduced crime and violence carried out by armed non-state actors, such as the Islamic State, and other terrorist groups. In addition, lockdowns increased the uptake of remote work, reduced airborne pollution, and promoted the adoption of digital payment systems.

Research has also documented profound negative economic impacts, as well as declines in academic performance in schools and negative mental health consequences.

Large-scale protests were organized worldwide against lockdowns, with demonstrators arguing that stay-at-home orders infringed on constitutional rights, constituted excessive government control and violated civil liberties.

Efficacy

Several researchers, from modelling and demonstrated examples, have concluded that lockdowns were somewhat effective at reducing the spread of, and deaths caused by, COVID-19. Lockdowns are thought to be most effective at containing or preventing COVID-19 community transmission, healthcare costs and deaths when implemented earlier, with greater stringency, and when not lifted too early.

A study investigating the spread based on studies of the most common symptoms such as loss of taste and smell in France, Italy and the UK showed a marked decrease in new symptoms just a few days after the start of confinement on the countries (Italy and France) with the strongest lockdowns. Modelling on the United States pandemic suggested "the pandemic would have been almost completely suppressed from significantly taking off if the lockdown measures were implemented two weeks earlier" and that the second wave would have been less severe had the lockdown lasted another two weeks.

The stringent lockdown in Hubei in early 2020 proved effective at controlling the COVID-19 outbreak in China. The relatively high number of cases and deaths in Sweden, which kept much of its society open during the pandemic, when compared to its neighbours with comparable demographics Norway, Denmark and Finland that did enforce lockdowns, is thought to be at least partly attributable to this difference in policy. Similarly, modelling on Australian data concluded that achieving zero community transmission through a strict lockdown lowers healthcare and economic costs compared to less stringent measures that allow transmission to continue, and warned that early relaxation of restrictions have greater costs. This "zero community transmission" approach was adopted in Australia, and a strict four-month lockdown in the state of Victoria during an outbreak in Melbourne, combined with other measures, averted a wider outbreak in the country in 2020. New Zealand and Vietnam also adopted a "Zero-COVID" strategy throughout 2020 that included targeted lockdowns. A natural experiment study finds that the partial lockdown in Kyrgyzstan (with curfews) was just as effective as the full lockdown in Kazakhstan (with many business closures) at reducing the spread of the virus.

The emergence of the highly transmissible SARS-CoV-2 Delta variant in 2021 led some commentators to suggest that although lockdowns continue to reduce the spread of COVID-19, they have become less effective at containing it. Lockdowns in Australia and Vietnam in response to Delta outbreaks proved less effective at containment than previous lockdowns were against the spread of other variants.

Voluntary versus mandatory restrictions

One study led by an economist at the University of Chicago found that involuntary lockdowns had little impact, with voluntary distancing making up nearly 90% of the fall in consumer traffic as people feared the virus itself. Similarly, a National Bureau of Economic Research study found stay-at-home orders increased staying at home by just 5–10%. Another study from Yale University found that most social distancing was voluntary, driven primarily by "media coverage of morbidity and mortality".

On the other hand, some studies have argued that coercive measures probably decreased interactions, while accepting that most of the reduction may have been voluntary. One of those two studies, by Flaxman et al., has been criticized, among other things for having a country-specific adjustment factor, without which the model would predict a massive number of deaths for Sweden. One widely cited economic simulation asserting that shelter-in-place orders reduced total cases three-fold, however, held voluntary distancing constant. Another study found a 30% difference among border-counties where stay-at-home orders were imposed.

Another study that compared the impact of 'less restrictive interventions' on the spread of COVID-19 in Sweden and South Korea, with mandatory stay-at home orders in 8 other countries, such as France and Spain, did not find evidence for greater disease control in the countries with more restrictions. However, the findings of the study have been questioned due to its numerous limitations, including the small sample size of countries.

Some research has also found that an "advisory" approach is not adequate to control COVID-19 outbreaks. An analysis of an outbreak in northern Italy found that an effective reduction in community transmission occurred during a strict national lockdown, and that earlier less stringent measures were ineffective at reducing mobility to a level low enough to reduce the spread of COVID-19.

Since the beginning of the pandemic, Google has consistently collected data on movements, showing rapid declines in public activity long before legal restrictions were imposed. An April 2020 poll found that 93% of Americans voluntarily chose to only leave home when necessary, regardless of legal restrictions.

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