Abstract
The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has caused the Coronavirus Disease 2019 (COVID-19) worldwide pandemic in 2020. In response, most countries in the world implemented lockdowns, restricting their population's movements, work, education, gatherings, and general activities in attempt to “flatten the curve” of COVID-19 cases. The public health goal of lockdowns was to save the population from COVID-19 cases and deaths, and to prevent overwhelming health care systems with COVID-19 patients. In this narrative review I explain why I changed my mind about supporting lockdowns. The initial modeling predictions induced fear and crowd-effects (i.e., groupthink). Over time, important information emerged relevant to the modeling, including the lower infection fatality rate (median 0.23%), clarification of high-risk groups (specifically, those 70 years of age and older), lower herd immunity thresholds (likely 20–40% population immunity), and the difficult exit strategies. In addition, information emerged on significant collateral damage due to the response to the pandemic, adversely affecting many millions of people with poverty, food insecurity, loneliness, unemployment, school closures, and interrupted healthcare. Raw numbers of COVID-19 cases and deaths were difficult to interpret, and may be tempered by information placing the number of COVID-19 deaths in proper context and perspective relative to background rates. Considering this information, a cost-benefit analysis of the response to COVID-19 finds that lockdowns are far more harmful to public health (at least 5–10 times so in terms of wellbeing years) than COVID-19 can be. Controversies and objections about the main points made are considered and addressed. Progress in the response to COVID-19 depends on considering the trade-offs discussed here that determine the wellbeing of populations. I close with some suggestions for moving forward, including focused protection of those truly at high risk, opening of schools, and building back better with a economy.
Highlights
The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) initially caused Coronavirus Disease 2019 (COVID-19) in China in December 2019, and has caused a worldwide pandemic in 2020
The lockdowns implemented in the name of public health entailed trade-offs that were not adequately considered [275]
Lockdowns may prevent some COVID-19 deaths by flattening the curve of cases and preventing stress on hospitals
Summary
The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) initially caused Coronavirus Disease 2019 (COVID-19) in China in December 2019, and has caused a worldwide pandemic in 2020. On March 16, 2020, the Imperial College COVID-19 Response Team published modeling of the impact of non-pharmaceutical interventions (NPI) to reduce COVID19 mortality and healthcare demand in the United States (US) and United Kingdom (UK) [5] They wrote that suppression “needs to be in force for the majority [>2/3 of the time] of the 2 years of the simulation (page 11),” without which there would be 510,000 deaths in Great Britain and 2.2 million deaths. The Imperial College COVID-19 Response Team extended this to the global impact of the pandemic on March 26, 2020, and estimated that without lockdowns there would be “7.0 billion infections and 40 million deaths globally this year (page 1)” [6] In their discussion they wrote “we do not consider the wider social and economic costs of suppression, which will be high and may be disproportionately so in lower income settings (page 2)” [6]. A main predictor of a country implementing NPIs was prior adoptions of a policy among
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