Impact of Non-pharmaceutical Interventions on the Control of COVID-19 in Iran: A Mathematical Modeling Study

Background  During the first months of the coronavirus disease 2019 (COVID-19) pandemic, Iran reported high numbers of infections and deaths. In the following months, the burden of this infection decreased significantly, possibly due to the impact of a package of interventions. We modeled the dynami...

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Main Authors: Mehran Nakhaeizadeh, Sana Eybpoosh, Yunes Jahani, Milad Ahmadi Gohari, Ali Akbar Haghdoost, Lisa White, Hamid Sharifi
Format: Article
Language:English
Published: Kerman University of Medical Sciences 2022-08-01
Series:International Journal of Health Policy and Management
Subjects:
Online Access:https://www.ijhpm.com/article_4058_8a4d72ccd38b2424b9006cfd3306afc2.pdf
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author Mehran Nakhaeizadeh
Sana Eybpoosh
Yunes Jahani
Milad Ahmadi Gohari
Ali Akbar Haghdoost
Lisa White
Hamid Sharifi
author_facet Mehran Nakhaeizadeh
Sana Eybpoosh
Yunes Jahani
Milad Ahmadi Gohari
Ali Akbar Haghdoost
Lisa White
Hamid Sharifi
author_sort Mehran Nakhaeizadeh
collection DOAJ
description Background  During the first months of the coronavirus disease 2019 (COVID-19) pandemic, Iran reported high numbers of infections and deaths. In the following months, the burden of this infection decreased significantly, possibly due to the impact of a package of interventions. We modeled the dynamics of COVID-19 infection in Iran to quantify the impacts of these interventions. Methods  We used a modified susceptible–exposed–infected–recovered (SEIR) model to model the COVID-19 epidemic in Iran, from January 21, 2020 to September 21, 2020. We estimated the 95% uncertainty intervals (UIs) using Markov chain Monte Carlo simulation. Under different scenarios, we assessed the effectiveness of non-pharmaceutical interventions (NPIs) including physical distancing measures and self-isolation. We also estimated the time-varying reproduction number (Rt), using our mathematical model and epidemiologic data. Results  If no NPIs were applied, there could have been a cumulative number of 51 800 000 (95% UI: 1 910 000–77 600 000) COVID-19 infections and 266 000 (95% UI: 119 000–476 000) deaths by September 21, 2020. If physical distancing interventions, such as school/border closures and self-isolation interventions had been introduced a week earlier than they were actually launched, 30.8% and 35.2% reduction in the number of deaths and infections respectively could have been achieved by September 21, 2020. The observed daily number of deaths showed that the Rt was one or more than one almost every day during the analysis period. Conclusion  Our models suggest that the NPIs implemented in Iran between January 21, 2020 and September 21, 2020 had significant effects on the spread of the COVID-19 epidemic. Our study also showed that the timely implementation of NPIs showed a profound effect on further reductions in the numbers of infections and deaths. This highlights the importance of forecasting and early detection of future waves of infection and of the need for effective preparedness and response capabilities.
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spelling doaj.art-411499dc5ae844c4872123a0705254ee2023-03-07T09:11:26ZengKerman University of Medical SciencesInternational Journal of Health Policy and Management2322-59392022-08-011181472148110.34172/ijhpm.2021.484058Impact of Non-pharmaceutical Interventions on the Control of COVID-19 in Iran: A Mathematical Modeling StudyMehran Nakhaeizadeh0Sana Eybpoosh1Yunes Jahani2Milad Ahmadi Gohari3Ali Akbar Haghdoost4Lisa White5Hamid Sharifi6Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, IranDepartment of Epidemiology and Biostatistics, Research Centre for Emerging and Reemerging Infectious Diseases, Pasteur Institute of Iran, Tehran, IranModeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, IranModeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, IranModeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, IranBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UKHIV/STI Surveillance Research Center, and WHO Collaborating Center for HIV Surveillance, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, IranBackground  During the first months of the coronavirus disease 2019 (COVID-19) pandemic, Iran reported high numbers of infections and deaths. In the following months, the burden of this infection decreased significantly, possibly due to the impact of a package of interventions. We modeled the dynamics of COVID-19 infection in Iran to quantify the impacts of these interventions. Methods  We used a modified susceptible–exposed–infected–recovered (SEIR) model to model the COVID-19 epidemic in Iran, from January 21, 2020 to September 21, 2020. We estimated the 95% uncertainty intervals (UIs) using Markov chain Monte Carlo simulation. Under different scenarios, we assessed the effectiveness of non-pharmaceutical interventions (NPIs) including physical distancing measures and self-isolation. We also estimated the time-varying reproduction number (Rt), using our mathematical model and epidemiologic data. Results  If no NPIs were applied, there could have been a cumulative number of 51 800 000 (95% UI: 1 910 000–77 600 000) COVID-19 infections and 266 000 (95% UI: 119 000–476 000) deaths by September 21, 2020. If physical distancing interventions, such as school/border closures and self-isolation interventions had been introduced a week earlier than they were actually launched, 30.8% and 35.2% reduction in the number of deaths and infections respectively could have been achieved by September 21, 2020. The observed daily number of deaths showed that the Rt was one or more than one almost every day during the analysis period. Conclusion  Our models suggest that the NPIs implemented in Iran between January 21, 2020 and September 21, 2020 had significant effects on the spread of the COVID-19 epidemic. Our study also showed that the timely implementation of NPIs showed a profound effect on further reductions in the numbers of infections and deaths. This highlights the importance of forecasting and early detection of future waves of infection and of the need for effective preparedness and response capabilities.https://www.ijhpm.com/article_4058_8a4d72ccd38b2424b9006cfd3306afc2.pdfcovid-19non-pharmaceutical interventionsmodelingiran
spellingShingle Mehran Nakhaeizadeh
Sana Eybpoosh
Yunes Jahani
Milad Ahmadi Gohari
Ali Akbar Haghdoost
Lisa White
Hamid Sharifi
Impact of Non-pharmaceutical Interventions on the Control of COVID-19 in Iran: A Mathematical Modeling Study
International Journal of Health Policy and Management
covid-19
non-pharmaceutical interventions
modeling
iran
title Impact of Non-pharmaceutical Interventions on the Control of COVID-19 in Iran: A Mathematical Modeling Study
title_full Impact of Non-pharmaceutical Interventions on the Control of COVID-19 in Iran: A Mathematical Modeling Study
title_fullStr Impact of Non-pharmaceutical Interventions on the Control of COVID-19 in Iran: A Mathematical Modeling Study
title_full_unstemmed Impact of Non-pharmaceutical Interventions on the Control of COVID-19 in Iran: A Mathematical Modeling Study
title_short Impact of Non-pharmaceutical Interventions on the Control of COVID-19 in Iran: A Mathematical Modeling Study
title_sort impact of non pharmaceutical interventions on the control of covid 19 in iran a mathematical modeling study
topic covid-19
non-pharmaceutical interventions
modeling
iran
url https://www.ijhpm.com/article_4058_8a4d72ccd38b2424b9006cfd3306afc2.pdf
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