Evidence map›Paper›PMID 34078329›Full record

ArticleBMC public health2021

When can physical distancing be relaxed? A health production function approach for COVID-19 control policy.

Dradjad H Wibowo

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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.

Dradjad H WibowoABFI Institute Perbanas, Jakarta Selatan, DKI, Jakarta, Indonesia. dhwibowo@indef.or.id.ORCID 0000-0002-4665-2691
Perbanas Institute · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo assess if physical distancing measures to control the COVID-19 pandemic can be relaxed, one of the key indicators used is the reproduction number R. Many developing countries, however, have limited capacities to estimate R accurately. This study aims to demonstrate how health production function can be used to assess the state of COVID-19 transmission and to determine a risk-based relaxation policy.

methodsThe author employs a simple "bridge" between epidemiological models and production economics to establish the cumulative number of COVID-19 cases as a short-run total product function and to derive the corresponding marginal product, average product, and production elasticity. Three crucial dates defining the states of transmission, labelled red, yellow, and green zones, are determined. Relaxation policy is illogical in the "red zone" and is not recommended in the "yellow zone". In the "green zone", relaxation can be considered. The Bayesian probability of near term's daily cases meeting a policy target is computed. The method is applied to France, Germany, Italy, the UK, and the US, and to Indonesia as an example of application in developing countries.

resultsThis study uses data from the WHO COVID-19 Dashboard, beginning from the first recording date for each country until February 28, 2021. As of June 30, 2020, France, Germany, Italy, and the UK had arrived at the "green zone" but with a high risk of transmission re-escalations. In the following weeks, their production elasticities were rising, giving a signal of accelerated transmissions. The signal was corroborated by these countries' rising cases, making them leaving the "green zone" in the later months. By February 28, 2021, the UK had returned to the "green zone", France, Germany, and Italy were still in the "yellow zone", while the US reached the "green zone" at a very high number of cases. Despite being in the "red zone", Indonesia relaxed its distancing measures, causing a sharp rise of cases.

conclusionsHealth production function can show the state of COVID-19 transmission. A rising production elasticity gives an early warning of transmission escalations. The elasticity is a useful parameter for risk-based relaxation policy.

Indexed as

COVID-19PandemicsBayes TheoremFranceGermanyHealth PolicyHumansIndonesiaItalyPhysical DistancingPolicySARS-CoV-2COVID-19Developing countriesHealth production functionPandemic control policyPhysical distancingProduction elasticityState of transmission

Identifiers

PMID34078329
PMCPMC8170438
OpenAlexW3110968702

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.