Evidence map›Paper›PMID 34312459›Full record

ArticleScientific reports2021

Benchmarking the Covid-19 pandemic across countries and states in the USA under heterogeneous testing.

Kenzo Asahi, Eduardo A Undurraga, Rodrigo Wagner

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Heterogeneity in testing for infectious diseases.Royal Society open science · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Transmission dynamics and control of COVID-19 in Chile, March-October, 2020.medRxiv : the preprint server for health sciences · 2020
    Article
  10. 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

3 authors.

Kenzo AsahiEscuela de Gobierno, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna 4860, Macul CP, 7820436, Santiago, Región Metropolitana, Chile.
Eduardo A UndurragaEscuela de Gobierno, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna 4860, Macul CP, 7820436, Santiago, Región Metropolitana, Chile. eundurra@uc.cl.ORCID 0000-0002-4425-1253
Rodrigo WagnerBusiness School, Universidad Adolfo Ibáñez, Santiago, Chile.

Funding

ANID/FONDAP 15110017ANID/FONDAP Grant 15110020ANID Millennium Science Initiative Millennium Initiative for Collaborative Research on Bacterial Resistance, MICROB-R, [NCN17_081]Fondo Nacional de Desarrollo Científico y Tecnológico Grant 11191206
6 · The paper itself

Abstract

Scientists and policymakers need to compare the incidence of Covid-19 across territories or periods with various levels of testing. Benchmarking based on the increase in total cases or case fatality rates is one way of comparing the evolution of the pandemic across countries or territories and could inform policy decisions about strategies to control coronavirus transmission. However, comparing cases and fatality rates across regions is challenging due to heterogeneity in testing and health systems. We show two complementary ways of benchmarking across territories and in time. First, we used multivariate regressions to estimate the test-elasticity of Covid-19 case incidence. Cases grow less than proportionally with testing when assessing weekly changes or looking across states in the USA. They tend to be proportional or even more than proportional when comparing the month-to-month evolution of an average country in the pandemic. Our results were robust to various model specifications. Second, we decomposed the growth in cases into test growth and positive test ratio growth to intuitively visualize the components of case growth. We hope these results can help support evidence-based decisions by public officials and help the public discussion when comparing across territories and in time.

Indexed as

BenchmarkingCOVID-19COVID-19 TestingHealth PolicyHumansIncidencePandemicsPublic HealthPublic Health SurveillanceSARS-CoV-2United States

Identifiers

PMID34312459
PMCPMC8313551

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.