Evidence map›Paper›PMID 33845887›Full record

ArticleBMC research notes2021

Impact of early detection and vaccination strategy in COVID-19 eradication program in Jakarta, Indonesia.

Dipo Aldila, Brenda M Samiadji, Gracia M Simorangkir, Sarbaz H A Khosnaw, Muhammad Shahzad

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
6.3field-weighted citation impact, top 3% 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 72 citations in OpenAlex.

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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

5 authors at 3 institutions in 3 countries.

Dipo AldilaDepartment of Mathematics, Universitas Indonesia, Depok, Indonesia. aldiladipo@sci.ui.ac.id.ORCID http://orcid.org/0000-0001-9022-1701
Brenda M SamiadjiDepartment of Mathematics, Universitas Indonesia, Depok, Indonesia.
Gracia M SimorangkirDepartment of Mathematics, Universitas Indonesia, Depok, Indonesia.
Sarbaz H A KhosnawDepartment of Mathematics, University of Raparin, Ranya, Kurdistan Region, Iraq.
Muhammad ShahzadDepartment of Pure and Applied Mathematics, University of Haripur, KP, Pakistan.
University of Indonesia · IDUniversity of Haripur · PKUniversity of Raparin · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSeveral essential factors have played a crucial role in the spreading mechanism of COVID-19 (Coronavirus disease 2019) in the human population. These factors include undetected cases, asymptomatic cases, and several non-pharmaceutical interventions. Because of the rapid spread of COVID-19 worldwide, understanding the significance of these factors is crucial in determining whether COVID-19 will be eradicated or persist in the population. Hence, in this study, we establish a new mathematical model to predict the spread of COVID-19 considering mentioned factors.

resultsInfection detection and vaccination have the potential to eradicate COVID-19 from Jakarta. From the sensitivity analysis, we find that rapid testing is crucial in reducing the basic reproduction number when COVID-19 is endemic in the population rather than contact trace. Furthermore, our results indicate that a vaccination strategy has the potential to relax social distancing rules, while maintaining the basic reproduction number at the minimum possible, and also eradicate COVID-19 from the population with a higher vaccination rate. In conclusion, our model proposed a mathematical model that can be used by Jakarta's government to relax social distancing policy by relying on future COVID-19 vaccine potential.

Indexed as

Basic Reproduction NumberCOVID-19COVID-19 VaccinesHumansImmunization ProgramsIndonesiaModels, TheoreticalVaccinationCOVID-19 VaccinesBasic reproduction numberContact tracingCOVID-19Rapid testingVaccination

Identifiers

PMID33845887
PMCPMC8040368
OpenAlexW3156535563

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.