A LITERATURE REVIEW AND META-ANALYSIS
OF THE EFFECTS OF LOCKDOWNS ON
COVID-19 MORTALITY

Link: https://sites.krieger.jhu.edu/iae/files/2022/01/A-Literature-Review-and-Meta-Analysis-of-the-Effects-of-Lockdowns-on-COVID-19-Mortality.pdf

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Abstract:

This systematic review and meta-analysis are designed to determine whether there is empirical
evidence to support the belief that “lockdowns” reduce COVID-19 mortality. Lockdowns are
defined as the imposition of at least one compulsory, non-pharmaceutical intervention (NPI).
NPIs are any government mandate that directly restrict peoples’ possibilities, such as policies that
limit internal movement, close schools and businesses, and ban international travel. This study
employed a systematic search and screening procedure in which 18,590 studies are identified
that could potentially address the belief posed. After three levels of screening, 34 studies
ultimately qualified. Of those 34 eligible studies, 24 qualified for inclusion in the meta-analysis.
They were separated into three groups: lockdown stringency index studies, shelter-in-placeorder (SIPO) studies, and specific NPI studies. An analysis of each of these three groups support
the conclusion that lockdowns have had little to no effect on COVID-19 mortality. More
specifically, stringency index studies find that lockdowns in Europe and the United States only
reduced COVID-19 mortality by 0.2% on average. SIPOs were also ineffective, only reducing
COVID-19 mortality by 2.9% on average. Specific NPI studies also find no broad-based evidence
of noticeable effects on COVID-19 mortality.
While this meta-analysis concludes that lockdowns have had little to no public health effects,
they have imposed enormous economic and social costs where they have been adopted. In
consequence, lockdown policies are ill-founded and should be rejected as a pandemic policy
instrument.

Author(s): Jonas Herby, Lars Jonung, and Steve H. Hanke

Publication Date: January 2022

Publication Site: Johns Hopkins Institute for Applied Economics

Covid: Peru more than doubles death toll after review

Link: https://www.bbc.com/news/world-latin-america-57307861

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Excerpt:

Peru has more than doubled its Covid death toll following a review, making it the country with the world’s highest death rate per capita, according to Johns Hopkins University data.

The official death toll is now more than 180,000, up from 69,342, in a country of about 33 million people.

Prime Minister Violeta Bermudez said the number was increased on the advice of Peruvian and international experts.

This was in line with so-called excess deaths figures.

Publication Date: 1 June 2021

Publication Site: BBC News

New U.S. Cases Ease, but Deaths Tick Higher

Link: https://www.wsj.com/livecoverage/covid-2021-03-03/card/18LFgjsjQkJOdGZpqjYK

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Excerpt:

There were 55,071 new cases reported in the U.S. for Tuesday, according to the latest data compiled by Johns Hopkins University. That was down from 58,810 a day earlier, and 71,436 a week earlier.

Reported U.S. deaths related to Covid-19 increased Tuesday to 1,924, from 1,566 a day earlier, according to the latest Johns Hopkins data.

While both new cases and deaths are down from January’s highs, deaths have begun to trend upward in the past week. The seven-day moving average of daily reported deaths, which smooths out irregularities in the data, was 2,046 as of Monday, according to a Wall Street Journal analysis of Johns Hopkins data. The 14-day average was 1,984. When the seven-day average is higher than the 14-day average, as it has been since last Wednesday, it indicates deaths are on the rise.

Author(s): Adam Martin

Publication Date: 3 March 2021

Publication Site: Wall Street Journal