Evidence map›Paper›PMID 33657925›Full record

ArticleWaste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA2021

Severe acute respiratory syndrome coronavirus-2 medical solid waste treatment: A need for efficient and effective strategies in low-resourced settings.

Saverio Bellizzi, Paola Murgia, Antonella Angioi, Gualtiero Canu, Catello M Panu Napodano, Antonio Manca

Abstract read
In one paragraph

Article in Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA, 2021. 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.

Saverio BellizziMedical Epidemiologist, Independent Consultant, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-4119-0803
Paola MurgiaUniversity of Sassari, Sassari, Sardegna, Italy.
Antonella AngioiPolo Ospedaliero San Francesco, ASSLL, Nuoro, Italy.
Gualtiero CanuPolo Ospedaliero San Francesco, ASSLL, Nuoro, Italy.
Catello M Panu NapodanoUniversity of Sassari, Sassari, Sardegna, Italy.
Antonio MancaCandiolo Cancer Institute FPO, IRCCS, Candiolo, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding infections related to handling healthcare waste products is of critical importance and the application of simple and low-cost strategies remain a priority in low-income and middle-income countries to protect healthcare workers. We examined the potential effect of relative humidity (RH), air temperature and ultraviolet irradiation (UI) to establish an efficient and effective way to facilitate disposal of medical waste. Literature is emerging on the effect of high RH and high temperature, which would increase airborne mass deposition and decrease the viability of viruses in both airborne particles and on surfaces. On the other hand, severe acute respiratory syndrome coronavirus-2 has been proven to be susceptible to UI when suspended in air like other coronaviruses. An innovative approach utilizing environmental conditions might represent an effective and efficient way to ensure better and sustainable protection of the healthcare workers in low-resourced settings.

Indexed as

COVID-19Medical WasteHumansHumiditySARS-CoV-2Solid WasteMedical WasteSolid Wasteair temperaturemedical disposalrelative humiditySevere acute respiratory syndrome coronavirus-2ultraviolet irradiationwaste management

Identifiers

PMID33657925
PMCPMC7941137

What OpenQuestion holds

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LicenceCC BY
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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.