Evidence map›Paper›PMID 34663839›Full record

ArticleScientific reports2021

Modelling infectious diseases with herd immunity in a randomly mixed population.

Kian Boon Law, Kalaiarasu M Peariasamy, Hishamshah Mohd Ibrahim, Noor Hisham Abdullah

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

4 authors.

Kian Boon LawInstitute for Clinical Research, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Malaysia. kblaw@crc.gov.my.
Kalaiarasu M PeariasamyInstitute for Clinical Research, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Malaysia.
Hishamshah Mohd IbrahimThe Office of Director General, Ministry of Health Malaysia, Putrajaya, Malaysia.
Noor Hisham AbdullahThe Office of Director General, Ministry of Health Malaysia, Putrajaya, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The conventional susceptible-infectious-recovered (SIR) model tends to magnify the transmission dynamics of infectious diseases, and thus the estimated total infections and immunized population may be higher than the threshold required for infection control and eradication. The study developed a new SIR framework that allows the transmission rate of infectious diseases to decline along with the reduced risk of contact infection to overcome the limitations of the conventional SIR model. Two new SIR models were formulated to mimic the declining transmission rate of infectious diseases at different stages of transmission. Model A utilized the declining transmission rate along with the reduced risk of contact infection following infection, while Model B incorporated the declining transmission rate following recovery. Both new models and the conventional SIR model were then used to simulate an infectious disease with a basic reproduction number (r

Indexed as

Basic Reproduction NumberCommunicable DiseasesDisease OutbreaksEpidemiological ModelsHumansImmunity, HerdModels, TheoreticalVaccination

Identifiers

PMID34663839
PMCPMC8523531

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.