Evidence map›Paper›PMID 34574479›Full record

ArticleInternational journal of environmental research and public health2021

Deciphering the COVID-19 Health Economic Dilemma (HED): A Scoping Review.

Arielle Kaim, Tuvia Gering, Amiram Moshaiov, Bruria Adini

Abstract readScoping Review
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
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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

4 authors.

Arielle KaimDepartment of Emergency and Disaster Management, Faculty of Medicine, School of Public Health, Sackler Tel Aviv University, P.O. Box 39040, Tel Aviv 6139001, Israel.ORCID 0000-0003-1251-3551
Tuvia GeringDepartment of Emergency and Disaster Management, Faculty of Medicine, School of Public Health, Sackler Tel Aviv University, P.O. Box 39040, Tel Aviv 6139001, Israel.
Amiram MoshaiovSchool of Mechanical Engineering, Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University, Tel Aviv 6997801, Israel.
Bruria AdiniDepartment of Emergency and Disaster Management, Faculty of Medicine, School of Public Health, Sackler Tel Aviv University, P.O. Box 39040, Tel Aviv 6139001, Israel.ORCID 0000-0002-4358-0872

Funding

CSRD VA 1
6 · The paper itself

Abstract

Lessons learnt from the initial stages of the COVID-19 outbreak indicate the need for a more coordinated economic and public health response. While social distancing has been shown to be effective as a non-pharmaceutical intervention (NPI) measure to mitigate the spread of COVID-19, the economic costs have been substantial. Insights combining epidemiological and economic data provide new theoretical predictions that can be used to better understand the health economy tradeoffs. This literature review aims to elucidate perspectives to assist policy implementation related to the management of the ongoing and impending outbreaks regarding the Health Economic Dilemma (HED). This review unveiled the need for information-based decision-support systems which will combine pandemic spread modelling and control, with economic models. It is expected that the current review will not only support policy makers but will also provide researchers on the development of related decision-support-systems with comprehensive information on the various aspects of the HED.

Indexed as

COVID-19HumansModels, EconomicPandemicsPublic HealthSARS-CoV-2COVID-19decision-makingeconomicshealthreview

Identifiers

PMID34574479
PMCPMC8470276

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.