Evidence map›Paper›PMID 33747709›Full record

ArticleInternational journal of dynamics and control2021

Mathematical model for COVID-19 management in crowded settlements and high-activity areas.

A Ssematimba, J N Nakakawa, J Ssebuliba, J Y T Mugisha

Open access · bronzeAbstract read
In one paragraph

Article in International journal of dynamics and control, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Mathematical modelling of COVID-19 transmission dynamics in a partially comorbid community.Partial differential equations in applied mathematics : a spin-off of Applied Mathematics Letters · 2022
    Article
  4. Observational
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 2 institutions in 1 country.

A SsematimbaDepartment of Mathematics, Faculty of Science, Gulu University, P.O. Box 166, Gulu, Uganda.
J N NakakawaDepartment of Mathematics, School of Physical Sciences, College of Natural Science, Makerere University, P.O. Box 7062, Kampala, Uganda.ORCID 0000-0001-5154-7290
J SsebulibaDepartment of Mathematics, School of Physical Sciences, College of Natural Science, Makerere University, P.O. Box 7062, Kampala, Uganda.
J Y T MugishaDepartment of Mathematics, School of Physical Sciences, College of Natural Science, Makerere University, P.O. Box 7062, Kampala, Uganda.
Makerere University · UGGulu University · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper develops and analyses a habitat area size dependent mathematical model to study the transmission dynamics of COVID-19 in crowded settlements such as refugee camps, schools, markets and churches. The model quantifies the potential impact of physical/social distancing and population density on the disease burden. Results reveal that with no fatalities and no infected entrants, the reproduction numbers associated with asymptomatic and symptomatic cases are inversely proportional to; the habitat area size, and the efforts employed in tracing and hospitalising these cases. The critical habitat area below which the disease dies out is directly proportion to the time taken to identify and hospitalise infected individuals. Results also show that disease persistence in the community is guaranteed even with minimal admission of infected individuals. Our results further show that as the level of compliance to standard operating procedures (SOPs) increases, then the disease prevalence peaks are greatly reduced and delayed. Therefore, proper adherence to SOPs such as use of masks, physical distancing measures and effective contact tracing should be highly enforced in crowded settings if COVID-19 is to be mitigated.

Indexed as

COVID-19Critical areaCrowdingMathematical modellingStandard operating procedures

Identifiers

PMID33747709
PMCPMC7955223
OpenAlexW3134276410

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.