Evidence map›Paper›PMID 36630757›Full record

ReviewEconomics and human biology2023

The challenge of estimating the direct and indirect effects of COVID-19 interventions - Toward an integrated economic and epidemiological approach.

Florian Dorn, Berit Lange, Martin Braml, David Gstrein, John L Z Nyirenda, Patrizio Vanella, Joachim Winter, Clemens Fuest, Gérard Krause

Abstract readReview
In one paragraph

Review in Economics and human biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  7. The common interests of health protection and the economy: evidence from scenario calculations of COVID-19 containment policies.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
    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

9 authors.

Florian Dornifo Institute - Leibniz Institute for Economic Research, Munich, Germany; Department of Economics, University of Munich (LMU), Germany; CESifo Munich, Germany. Electronic address: Dorn@ifo.de.
Berit LangeEpidemiology Department, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany; Hannover Medical School (MHH), Germany; German Center for Infection Research (DZIF), Braunschweig, Germany.
Martin Bramlifo Institute - Leibniz Institute for Economic Research, Munich, Germany; World Trade Organization, Economic Research and Statistics Division, Geneva, Switzerland.
David Gstreinifo Institute - Leibniz Institute for Economic Research, Munich, Germany; Department of Economics, University of Munich (LMU), Germany.
John L Z NyirendaEpidemiology Department, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany; University Hospital Freiburg, University of Freiburg, Germany.
Patrizio VanellaEpidemiology Department, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany; Hannover Medical School (MHH), Germany; Department of Health Reporting & Biometrics, aQua-Institut, Göttingen, Germany.
Joachim WinterDepartment of Economics, University of Munich (LMU), Germany; CESifo Munich, Germany.
Clemens Fuestifo Institute - Leibniz Institute for Economic Research, Munich, Germany; Department of Economics, University of Munich (LMU), Germany; CESifo Munich, Germany.
Gérard KrauseEpidemiology Department, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany; Hannover Medical School (MHH), Germany; German Center for Infection Research (DZIF), Braunschweig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decisions on public health measures to contain a pandemic are often based on parameters such as expected disease burden and additional mortality due to the pandemic. Both pandemics and non-pharmaceutical interventions to fight pandemics, however, produce economic, social, and medical costs. The costs are, for example, caused by changes in access to healthcare, social distancing, and restrictions on economic activity. These factors indirectly influence health outcomes in the short- and long-term perspective. In a narrative review based on targeted literature searches, we develop a comprehensive perspective on the concepts available as well as the challenges of estimating the overall disease burden and the direct and indirect effects of COVID-19 interventions from both epidemiological and economic perspectives, particularly during the early part of a pandemic. We review the literature and discuss relevant components that need to be included when estimating the direct and indirect effects of the COVID-19 pandemic. The review presents data sources and different forms of death counts, and discusses empirical findings on direct and indirect effects of the pandemic and interventions on disease burden as well as the distribution of health risks.

Indexed as

COVID-19Cost of IllnessHumansPandemicsPublic HealthSARS-CoV-2COVID-19Disease burdenEconomic declineHealthcare accessHealth outcomesIntegrated approachNon-pharmaceutical interventionsPandemicsSocial distancing

Identifiers

PMID36630757
PMCPMC9642024

What OpenQuestion holds

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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.