Evidence map›Paper›PMID 34766060›Full record

ArticleSensors international2021

Efficacy of limited antiviral treatment, testing, hospitalization, and social distancing for COVID-19 pandemic.

Md Mehadi Hasan, Mostak Ahmed, Suraiya Akter Urmy

Abstract read
In one paragraph

Article in Sensors international, 2021. 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. 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

3 authors.

Md Mehadi HasanDepartment of Mathematics, Jagannath University, Dhaka, 1100, Bangladesh.
Mostak AhmedDepartment of Mathematics, Jagannath University, Dhaka, 1100, Bangladesh.
Suraiya Akter UrmyDepartment of Mathematics, Jahangirnagar University, Dhaka, 1342, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The control measures of a pandemic must be cautiously evaluated, especially when resources are "limited". A model of COVID-19 transmission dynamics is applied to assess the impact of antiviral treatment, testing, hospitalization, and social distancing. Under the assumption of "unlimited" resources, five control strategies involving social distancing, testing, hospitalization, and antiviral treatment are tested. Then these "optimal" policies are sought in the case of limited resources on behalf of a COVID-19 pandemic scenario. The amplitude of peak epidemics will often be minimized by executing strategies from the beginning of a pandemic, spreading the epidemics' greatest impact over a longer time frame. Therefore, the timing and potency of control measures can reduce the pressure on the system during the top of the epidemic through the pandemic, decreasing the pressure on the healthcare infrastructure. In case of limited access to antiviral supplies, the role of testing, hospitalization, and social distancing strategies is emphasized in this study.

Indexed as

Antiviral treatmentCOVID-19 pandemicHospitalizationOptimal controlSocial distancing

Identifiers

PMID34766060
PMCPMC8234322

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.