Evidence map›Paper›PMID 36417418›Full record

ArticlePloS one2022

The doubling effect of COVID-19 cases on key health indicators.

Oana Petrof, Maxime Fajgenblat, Thomas Neyens, Geert Molenberghs, Christel Faes

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. The Effect of Transborder Mobility on COVID-19 Incidences in Belgium.International journal of environmental research and public health · 2022
    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

5 authors at 3 institutions in 1 country.

Oana PetrofI-Biostat, DSI, Hasselt University, Diepenbeek, Belgium.ORCID 0000-0002-1802-9640
Maxime FajgenblatLaboratory of Freshwater Ecology, Evolution and Conservation, KU Leuven, Leuven, Belgium.
Thomas NeyensI-Biostat, DSI, Hasselt University, Diepenbeek, Belgium.
Geert MolenberghsI-Biostat, DSI, Hasselt University, Diepenbeek, Belgium.
Christel FaesI-Biostat, DSI, Hasselt University, Diepenbeek, Belgium.
Hasselt University · BEKU Leuven · BEStatistics Belgium · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

From the beginning of the COVID-19 pandemic, researchers advised policy makers to make informed decisions towards the adoption of mitigating interventions. Key easy-to-interpret metrics applied over time can measure the public health impact of epidemic outbreaks. We propose a novel method which quantifies the effect of hospitalizations or mortality when the number of COVID-19 cases doubles. Two analyses are used, a country-by-country analysis and a multi-country approach which considers all countries simultaneously. The new measure is applied to several European countries, where the presence of different variants, vaccination rates and intervention measures taken over time leads to a different risk. Based on our results, the vaccination campaign has a clear effect for all countries analyzed, reducing the risk over time. However, the constant emergence of new variants combined with distinct intervention measures impacts differently the risk per country.

Indexed as

COVID-19Administrative PersonnelEuropeHumansPandemicsPublic Health

Identifiers

PMID36417418
PMCPMC9683546
OpenAlexW4309835397

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.