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   The Dynamic Effective Reproductive Number of COVID-19 during the Epidemic in Iran  
   
نویسنده doosti-irani amin ,haji-maghsoudi saiedeh ,haghdoost aliakbar ,eybpoosh sana ,mostafavi ehsan ,karami manoochehr ,mahjub hossein
منبع iranian journal of public health - 2022 - دوره : 51 - شماره : 4 - صفحه:886 -894
چکیده    Background: we aimed to determine the generation time, the best model for estimating reproduction number (r), and to estimate the basic reproduction number (r0) and effective reproduction number (rt) for covid-19 in iran. methods: we used the daily incidence cases of covid-19, hospitalized due to a probable diagnosis of covid-19 from 19 february 2020 to 17 november 2020 in iran. four models, including maximum likelihood (ml), exponential growth (eg), time-dependent (td), sequential bayesian (sb) were evaluated. the weekly reproduction number with a 95% confidence interval (ci) was calculated. results: td model shows the best fit compared to other models for estimating reproduction number in iran. the r0 in iran in the first week of the epidemic, leading up to 21 february 2020 was 7.19, 95% ci: 5.56, 9.00. the lowest value for the rt was equal to 0.77 between 3 to 10 march 2020 and 4 to 11 december 2020. from 11 june 2020 up to13 august 2020, the rt was more than one but after then to 24 september 2021 was less than one. conclusion: td model was the best fit for estimating the r in iran. the worst situation of the epidemic in iran was related to the weeks leading up to 26 february 2020 and 28 october 2020, and better status was related to the weeks leading up to 10 march 2020 and 11 december 2020.
کلیدواژه COVID-19; Basic reproduction number; Effective reproduction number; Iran
آدرس hamadan university of medical sciences, school of public health, research center for health sciences, department of epidemiology, Iran, kerman university of medical sciences, school of public health, department of epidemiology and biostatistics, Iran, kerman university of medical sciences, school of public health, hiv/sti surveillance research center, institute for futures studies in health, department of epidemiology and biostatistics, Iran, pasteur institute of iran, research centre for emerging and reemerging infectious diseases, Iran, pasteur institute of iran, research centre for emerging and reemerging infectious diseases, Iran, shahid beheshti university of medical sciences, school of public health and safety, department of epidemiology, Iran, hamadan university of medical sciences, school of public health, research center for health sciences, department of biostatistics, Iran
پست الکترونیکی mahjub.h@gmail.com
 
     
   
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