Evidence map›Paper›PMID 32834139›Full record

ArticleTechnological forecasting and social change2020

Global mortality benefits of COVID-19 action.

Sunbin Yoo, Shunsuke Managi

Abstract read
In one paragraph

Article in Technological forecasting and social change, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
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

33 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. When technology leads social business: Food truck innovation.Technological forecasting and social change · 2022
    Article
  8. Structural modeling of COVID-19 spread in relation to human mobility.Transportation research interdisciplinary perspectives · 2022
    Article
  9. Review
  10. Review
  11. Social-economic impacts of epidemic diseases.Technological forecasting and social change · 2022
    Article
  12. Mitigating COVID-19 Transmission in Schools With Digital Contact Tracing.IEEE transactions on computational social systems · 2021
    Article
  13. Article
  14. Article
  15. Review
  16. Covid-19 health policy intervention and volatility of Asian capital markets.Technological forecasting and social change · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors.

Sunbin YooUrban Institute & School of Engineering, Kyushu University, Japan.
Shunsuke ManagiUrban Institute & School of Engineering, Kyushu University, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid spread of COVID-19 motivated countries worldwide to mitigate mortality through actions including social distancing, home quarantine, school closures, and case isolation. We estimate the global mortality benefits of these actions. We use county-level data on COVID-19 from January 2020, project the number of mortalities until September 2020, and calculate the global mortality benefits using the age- and country-specific value of a statistical life (VSL). Implementing all four types of actions above would save approximately 40.76 trillion USD globally, with social distancing accounting for 55% of the benefits. The monetary benefit would be the largest in the US, Japan and China. Our findings indicate that global actions during COVID-19 have substantial economic benefits and must be implemented in response to COVID-19.

Indexed as

CoronavirusCOVID-19Epidemic diseasesGlobal mortality benefitValue of a statistical life

Identifiers

PMID32834139
PMCPMC7383174

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.