Evidence map›Paper›PMID 34887452›Full record

ArticleScientific reports2021

The role of European health system characteristics in affecting Covid 19 lethality during the early days of the pandemic.

Monica Giancotti, Milena Lopreite, Marianna Mauro, Michelangelo Puliga

Open access · goldAbstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Monica Giancotti *Department of Clinical and Experimental Medicine, Magna Graecia University, Viale Europa, Catanzaro, Italy.
Milena Lopreite *Department of Economics, Statistics and Finance, University of Calabria, Calabria, Italy. milena.lopreite@unical.it.
Marianna Mauro *Department of Clinical and Experimental Medicine, Magna Graecia University, Catanzaro, Italy.
Michelangelo Puliga *Institute of Management, Sant'Anna School of Advanced Studies, Pisa, Italy.
Magna Graecia University · ITScuola Superiore Sant'Anna · ITUniversity of Calabria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article examines the main factors affecting COVID-19 lethality across 16 European Countries with a focus on the role of health system characteristics during the first phase of the diffusion of the virus. Specifically, we investigate the leading causes of lethality at 10, 20, 30, 40 days in the first hit of the pandemic. Using a random forest regression (ML), with lethality as outcome variable, we show that the percentage of people older than 65 years (with two or more chronic diseases) is the main predictor variable of lethality by COVID-19, followed by the number of hospital intensive care unit beds, investments in healthcare spending compared to GDP, number of nurses and doctors. Moreover, the variable of general practitioners has little but significant predicting quality. These findings contribute to provide evidence for the prediction of lethality caused by COVID-19 in Europe and open the discussion on health policy and management of health care and ICU beds during a severe epidemic.

Indexed as

Community Health PlanningHealth FacilitiesHealth Services AccessibilityHealth Systems PlansAge FactorsCOVID-19EuropeGross Domestic ProductHealth PolicyHumansIntensive Care UnitsPandemicsSARS-CoV-2

Identifiers

PMID34887452
PMCPMC8660820
OpenAlexW4200492030

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.