Evidence map›Paper›PMID 34734648›Full record

ArticleAmerican journal of industrial medicine2022

Cost of lost work hours associated with the COVID-19 pandemic-United States, March 2020 through February 2021.

Abay Asfaw

Open access · bronzeAbstract read
In one paragraph

Article in American journal of industrial medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Abay AsfawCenters for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH), Economic Research and Support Office (ERSO), Washington, District of Columbia, USA.ORCID 0000-0002-4729-7302
National Institute for Occupational Safety and Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOf the 22.8 million coronavirus disease 2019 (COVID-19) cases recorded in the United States as of March 21, 2021 with age information, three-fourths were in the workingage group, indicating the potentially high economic impact of the pandemic. This study estimates the cost of lost work hours associated with the COVID-19 pandemic between March 2020 through February 2021.

methodI used a before-and-after analysis of data from the 2017-2021 Current Population Survey to estimate the costs of lost work hours due to economic, workers' own health, and other reasons, from the COVID-19 pandemic.

resultsAcross March 2020 through February 2021 (a year since the start of the pandemic in the United States), the estimated cost of lost work hours associated with the COVID-19 pandemic among US full-time workers was $138 billion (95% confidence interval [CI]: $73.4 billion-$202.46 billion). Shares of the costs attributed to economic, workers' own health, and other reasons were 33.7%, 13.7%, and 52.6%, respectively.

conclusionThe $138 billion cost of lost work hours associated with the COVID-19 pandemic during March 2020 through February 2021 highlights the economic consequences of the pandemic, as well as indicating the potential benefit of public health and safety interventions used to mitigate COVID-19 spread.

Indexed as

COVID-19Data CollectionHumansPandemicsPublic HealthSARS-CoV-2United StatesCOVID-19CPSlost work hours

Identifiers

PMID34734648
PMCPMC8653223
OpenAlexW3208718219

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.