Evidence map›Paper›PMID 34760004›Full record

ArticleJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences2021

The real-time reproduction number, impact of interventions and prediction of the epidemic size of COVID-19 in the center of Iran.

Rahmatollah Moradzadeh, Mohammad Jamalian, Javad Nazari, Zahra Hosseinkhani, Maryam Zamanian

Abstract read
In one paragraph

Article in Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Rahmatollah MoradzadehDepartment of Epidemiology, School of Health, Arak University of Medical Sciences, Arak, Iran.
Mohammad JamalianDepartment of Forensic Medicine and Poisoning, Arak University of Medical Sciences, Arak, Iran.
Javad NazariDepartment of Pediatrics, School of Medicine, Arak University of Medical Sciences, Arak, Iran.
Zahra HosseinkhaniMetabolic Diseases Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Maryam ZamanianDepartment of Epidemiology, School of Health, Arak University of Medical Sciences, Arak, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe monitoring of reproduction number over time provides feedback on the effectiveness of interventions and on the need to intensify control efforts. Hence, we aimed to compute basic (R MATERIALS AND

methodsWe used the 887 confirmed cases of COVID-19 from February 20, 2020, to April 17, 2020 in the center of Iran. We considered three scenarios for serial intervals (SIs) with gamma distribution. R

resultsThe model shows that the R

conclusionBased on the real-time data extracted from the center of Iran, R

Indexed as

coronavirusCoronavirus disease 2019Iranpredictreproduction number

Identifiers

PMID34760004
PMCPMC8548904

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.