Evidence map›Paper›PMID 34223186›Full record

ArticleArchives of academic emergency medicine2021

Is Social Distancing Policy Effective in Controlling COVID-19? An Interrupted Time Series Analysis.

Mehdi Yaseri, Rahim Soleimani-Jelodar, Zohreh Rostami, Saeed Shahsavari, Mostafa Hosseini

Abstract read
In one paragraph

Article in Archives of academic emergency medicine, 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. An Overview of Published Articles inArchives of academic emergency medicine · 2022
    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

5 authors.

Mehdi YaseriDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. E-mail: m.yaseri@gmail.com.
Rahim Soleimani-JelodarDepartment of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. E-mail: rahimsoleimani1361@yahoo.com.
Zohreh RostamiDepartment of Accounting, Qazvin Branch, Islamic Azad University, Qazvin, Iran. E-mail: rostamizohreh@yahoo.com.
Saeed ShahsavariDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. E-mail: m.yaseri@gmail.com.
Mostafa HosseiniDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. E-mail: m.yaseri@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe social distancing plan is one of the ways that was implemented for management of COVID-19 pandemic. This study aimed to evaluate the effect of the social distancing on reducing the daily new cases and deaths from COVID-19.

methodsIn this cross-sectional study, the data of daily new cases and daily deaths were collected from 15/02/2020 to 19/04/2020. Changes in the level and trend of daily new cases and daily deaths before and after the implementation of social distancing plan were evaluated using interrupted time series (ITS) analysis in STATA software.

resultsThe post-intervention trend had a decrease of 102 new cases per day and 7 new deaths per day compared to the pre-intervention trend (p < 0.001). Moreover, in the post-intervention period, the daily new cases had a decrease of 58 new cases per day and 2 new deaths per day (p < 0.001).

conclusionIt Could be concluded that social distancing plan directly affects the new daily cases and new daily deaths.

Indexed as

COVID-19incidenceinterrupted time series analysisIranPhysical distancing

Identifiers

PMID34223186
PMCPMC8221547

What OpenQuestion holds

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LicenceCC BY
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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.