Evidence map›Paper›PMID 35692347›Full record

ArticleFrontiers in public health2022

Modeling for the Stringency of Lock-Down Policies: Effects of Macroeconomic and Healthcare Variables in Response to the COVID-19 Pandemic.

Giunio Santini, Mario Fordellone, Silvia Boffo, Simona Signoriello, Danila De Vito, Paolo Chiodini

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Giunio SantiniParliamentary Assembly of the Mediterranean Naples, Naples, Italy.
Mario FordelloneMental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli," Naples, Italy.
Silvia BoffoDepartment of Biology, College of Science and Technology, Temple University, Philadelphia, PA, United States.
Simona SignorielloMental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli," Naples, Italy.
Danila De VitoDepartment of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro," Bari, Italy.
Paolo ChiodiniMental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli," Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The spread of COVID-19 has been characterized by unprecedented global lock-downs. Although, the extent of containment policies cannot be explained only through epidemic data. Previous studies already focused on the relationship between the economy and healthcare, focusing on the impact of diseases in countries with a precarious economic situation. However, the pandemic caused by SARS-CoV-2 drew most countries of the world into a precarious economic situation mostly caused by the global and local lock-downs policies. Methods: A discriminant analysis performed Results: The stringency lock-down policies could not only be influenced by the epidemical data, but also by previous features of the selected countries, such as economic and healthcare conditions. Conclusions: Indeed, economic and healthcare variables also contributed to shaping the implemented lock-down policies.

Indexed as

COVID-19Communicable Disease ControlDelivery of Health CareHumansPandemicsPolicySARS-CoV-2containment policiesCOVID-19healthcare serviceslock-down modelingSARS-CoV-2 pandemicsocio economic impact

Identifiers

PMID35692347
PMCPMC9174749

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Registered trials

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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.