Evidence map›Paper›PMID 35942051›Full record

ArticleThe Canadian journal of chemical engineering2022

Two Chemical Engineers Look at the COVID-19 Pandemic.

Alex De Visscher, Paôlla Chrystine Pinheiro Patrício

Abstract read
In one paragraph

Article in The Canadian journal of chemical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Two Chemical Engineers Look at the COVID-19 Pandemic.The Canadian journal of chemical engineering · 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

2 authors.

Alex De VisscherDepartment of Chemical and Materials Engineering Gina Cody School of Engineering and Computer Science, Concordia University, Montreal Quebec Canada.ORCID https://orcid.org/0000-0002-2464-7605
Paôlla Chrystine Pinheiro PatrícioDepartment of Chemical and Materials Engineering Gina Cody School of Engineering and Computer Science, Concordia University, Montreal Quebec Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical engineering involves a skill set that is transferrable to a broad range of other areas. A case in point is the work that is being done by chemical engineers to better understand and fight the COVID-19 epidemic. In this study, we consider a problem that has eluded the COVID-19 research community, which is nevertheless very tractable with a chemical engineering mindset: the true or intrinsic mortality rate of COVID-19, i.e., the fraction or percentage of COVID-19 infected people that die of the disease. We solve this problem in two locations (Spain and the state of New York) for the epidemic's first wave with a combination of daily death data, a fit of a computer simulation of an epidemiological model with adjustable parameters, and independent results of immunological blood testing on a random sample of the population. Parallels are drawn with the problem of determining the turnover frequency of a catalyst based on a similar combination of data and approaches. It is concluded from the study that the intrinsic mortality rate of COVID-19 was 1.45 ± 0.45 % during the first wave, a number that reflects OECD countries. By incorporating data on the age dependence of the mortality rate, a relationship

Indexed as

Chemical EngineeringEpidemiological ModelMortality RateSARS‐CoV‐2

Identifiers

PMID35942051
PMCPMC9350226

What OpenQuestion holds

Textmetadata
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.