Evidence map›Paper›PMID 33518773›Full record

ArticleChemical engineering science2021

A comprehensive spatial-temporal infection model.

Harisankar Ramaswamy, Assad A Oberai, Yannis C Yortsos

Abstract read
In one paragraph

Article in Chemical engineering science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. SIRI+Q model with a limited capacity of isolation.Theory in biosciences = Theorie in den Biowissenschaften · 2025
    Article
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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

3 authors.

Harisankar RamaswamyAerospace and Mechanical Engineering, Viterbi School of Engineering, University of Southern California, United States.
Assad A OberaiAerospace and Mechanical Engineering, Viterbi School of Engineering, University of Southern California, United States.
Yannis C YortsosMork Family Department of Chemical Engineering and Materials Science, Viterbi School of Engineering, University of Southern California, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivated by analogies between the spread of infections and of chemical processes, we develop a model that accounts for infection and transport where infected populations correspond to chemical species. Areal densities emerge as the key variables, thus capturing the effect of spatial density. We derive expressions for the kinetics of the infection rates, and for the important parameter

Indexed as

Chemical processesCOVID-19Infection modelsWave propagation

Identifiers

PMID33518773
PMCPMC7833503

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.