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<Articles JournalTitle="Acta Medica Iranica">
  <Article>
    <Journal>
      <PublisherName>Tehran University of Medical Sciences</PublisherName>
      <JournalTitle>Acta Medica Iranica</JournalTitle>
      <Issn>0044-6025</Issn>
      <Volume>59</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="epublish">
        <Year>2021</Year>
        <Month>02</Month>
        <Day>08</Day>
      </PubDate>
    </Journal>
    <title locale="en_US">Evaluating the Effect of Macro-Level Health Policies on Novel Coronavirus (COVID-19) Epidemic Control in Iran</title>
    <FirstPage>44</FirstPage>
    <LastPage>49</LastPage>
    <AuthorList>
      <Author>
        <FirstName>Mohammad</FirstName>
        <LastName>Meskarpour-Amiri</LastName>
        <affiliation locale="en_US">Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Parisa</FirstName>
        <LastName>Mehdizadeh</LastName>
        <affiliation locale="en_US">Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Maryam</FirstName>
        <LastName>Yaghoubi</LastName>
        <affiliation locale="en_US">Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Sayyed Morteza</FirstName>
        <LastName>Hosseini Shokouh</LastName>
        <affiliation locale="en_US">Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.</affiliation>
      </Author>
      <Author>
        <FirstName>Taha</FirstName>
        <LastName>Nasiri</LastName>
        <affiliation locale="en_US">Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.</affiliation>
      </Author>
      <Author>
        <FirstName>Babak</FirstName>
        <LastName>Hassanlouei</LastName>
        <affiliation locale="en_US">Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Hossein</FirstName>
        <LastName>Amini</LastName>
        <affiliation locale="en_US">Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
    </AuthorList>
    <History>
      <PubDate PubStatus="received">
        <Year>2020</Year>
        <Month>08</Month>
        <Day>26</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2020</Year>
        <Month>10</Month>
        <Day>13</Day>
      </PubDate>
    </History>
    <abstract locale="en_US">This study aimed to evaluate the effect of macro-level health policies on COVID-19 outbreak control in Iran. This was a descriptive-analytical study of the applied time series performed on April 19, 2020. The effect of four macro-health interventions, including reducing overcrowding, social distancing, limitation of high-risk economic activities, and active case detection, was examined. The Vector auto-regression (VAR) was used to investigate the effect of the interventions. The augmented Dickey-Fuller test (ADF) was used to ensure the time stability of the time series and the existence of a unit-root. To analyzing data and estimation VAR models, STATA software was used. P of less than 0.1 was considered significant. The increase in the number of cases with two days&#x2019; lag had a positive and significant effect on increasing the number of new cases of the COVID-19 (C=0.176, P=0.097). Adopting an overcrowding reduction policy with both 2-day lags (c=0.095, P=0.066) and 4-day lags (c=0.314, P=0.000) had a negative and significant effect on increasing the number of new cases of the COVID-19. Our study showed that overcrowding reduction and new COVID-19 case detection could play an effective role in controlling the epidemic of COVID-19 in Iran. It seems that the best advice is to stay home and use strategies to identify more patients.</abstract>
    <web_url>https://acta.tums.ac.ir/index.php/acta/article/view/8755</web_url>
  </Article>
</Articles>
