| Literature DB >> 33795979 |
Mandana Saki1, Mahboubeh Khaton Ghanbari2, Meysam Behzadifar3, Mohammad Hasan Imani-Nasab1, Masoud Behzadifar1, Samad Azari4, Ahad Bakhtiari5, Jianhong Wu6, Nicola Luigi Bragazzi6,7.
Abstract
Background: In December 2019, a viral outbreak occurred in China, and rapidly spread out worldwide. Due to the lack of immediately available vaccines and effective drugs, many policy- and decision-makers have focused on non-pharmacological methods, including social distancing. This study was aimed at assessing the effects of the implementation of this policy in Iran, one of the countries most affected by COVID-19. We conducted a quasi-experimental study, utilizing the interrupted time series analysis (ITSA) approach.Entities:
Keywords: COVID-19; Iran; interrupted time series analysis; pandemics; social distancing policy
Mesh:
Year: 2021 PMID: 33795979 PMCID: PMC7995950
Source DB: PubMed Journal: Yale J Biol Med ISSN: 0044-0086
Figure 1The rate of confirmed COVID-19 incidence cases between February 20th, 2020 and January 29th, 2021, prior to and following the implementation of the social distancing policy in Iran (launched on March 27th 2020). Dashed line is projected trend without the implementation of the policy; solid line is the trend observed after the implementation of the policy.
Figure 2The rate of deaths related to COVID-19 between February 20th, 2020 and January 29th, 2021, prior to and following the implementation of the social distancing policy in Iran (launched on March 27th 2020). Dashed line is projected trend without the implementation of the policy; solid line is the trend observed after the implementation of the policy.
Figure 3Residuals from the OLS regression (A: COVID-19 confirmed incidence cases, B: deaths between February 20th, 2020 and January 29th, 2021, in Iran). The plot shows presence of correlation.
Figure 4Autocorrelation and partial autocorrelation function (A: confirmed incidence cases, B: deaths between February 20th, 2020 and January 29th, 2021, in Iran). The plots show presence of correlation.