Serial Interval Distribution of COVID-19 among Iranian Reported Confirmed Cases

Type of manuscript: short report Introduction:  Serial interval refers to the average time between of the onset of the symptoms of two successive cases. Serial interval distribution can be used for the calculation of the basic reproduction number (R0), transmission rate, and study of an epidemic trend. This study aims to investigate the mean, standard deviation, and distribution of serial interval among the confirmed cases of COVID-19 using a Gamma distribution.      Methods: To determine the serial interval, 60 confirmed infected cases of COVID-19 (based on PCR test results) in February 20th-May 20th, 2020 were selected as the cases. For these cases, 37 transmissions occurred. The data of the dates of the occurrence of primary and secondary symptoms were collected by referring to the COVID-19 surveillance system and interviewing the patients Results: The findings showed that the median and mean of the serial interval were 3.0 and 4.5± 3.5 days. The findings showed that the median of the serial interval was 3.0 days (with the inter-quartile range of 2.0-6.0). The mean serial interval was 4.5± 3.5 days (95% confidence interval: 3.1-5.5). Conclusions: Our report showed a shorter period for a serial interval less than the previous reported interval in China. It seems that regarding the shorter serial interval reported in this study, the basic reproduction numbers reported by the first papers published in Iran have been overestimated regarding the serial interval of 7.5 days. Key words: COVID-19, Serial interval, Gamma distributio

Serial Interval Distribution of COVID-19 among Iranian Reported Confirmed Cases

Type of manuscript: short report Introduction:  Serial interval refers to the average time between of the onset of the symptoms of two successive cases. Serial interval distribution can be used for the calculation of the basic reproduction number (R0), transmission rate, and study of an epidemic trend. This study aims to investigate the mean, standard deviation, and distribution of serial interval among the confirmed cases of COVID-19 using a Gamma distribution.      Methods: To determine the serial interval, 60 confirmed infected cases of COVID-19 (based on PCR test results) in February 20th-May 20th, 2020 were selected as the cases. For these cases, 37 transmissions occurred. The data of the dates of the occurrence of primary and secondary symptoms were collected by referring to the COVID-19 surveillance system and interviewing the patients Results: The findings showed that the median and mean of the serial interval were 3.0 and 4.5± 3.5 days. The findings showed that the median of the serial interval was 3.0 days (with the inter-quartile range of 2.0-6.0). The mean serial interval was 4.5± 3.5 days (95% confidence interval: 3.1-5.5). Conclusions: Our report showed a shorter period for a serial interval less than the previous reported interval in China. It seems that regarding the shorter serial interval reported in this study, the basic reproduction numbers reported by the first papers published in Iran have been overestimated regarding the serial interval of 7.5 days. Key words: COVID-19, Serial interval, Gamma distributio

Integration of Research, Public Health, and Hospital Interventions as a Successful Model for Controlling COVID-19 Pandemic: A Perspective

The COVID-19 pandemic has been a serious health problem in most countries in the last few months, with every country adopting different preventive and therapeutic measures based on their specific circumstances. The epidemic began in Iran on February 19, 2020, and gradually spread across the country. The epidemic extent varies, and different preventive and therapeutic measures are taken in Iran. Shahroud and Miami Counties, covered by the Shahroud University of Medical Sciences, have experienced the highest incidence of COVID-19 in Iran. However, the epidemic is well controlled by integrating the activities of the health, treatment, and research sectors and using information technology and a proprietary software application. This model can be thus studied as a successful experience. Keywords: COVID-19, Control, Successful model, Ira

Integration of Research, Public Health, and Hospital Interventions as a Successful Model for Controlling COVID-19 Pandemic: A Perspective

The COVID-19 pandemic has been a serious health problem in most countries in the last few months, with every country adopting different preventive and therapeutic measures based on their specific circumstances. The epidemic began in Iran on February 19, 2020, and gradually spread across the country. The epidemic extent varies, and different preventive and therapeutic measures are taken in Iran. Shahroud and Miami Counties, covered by the Shahroud University of Medical Sciences, have experienced the highest incidence of COVID-19 in Iran. However, the epidemic is well controlled by integrating the activities of the health, treatment, and research sectors and using information technology and a proprietary software application. This model can be thus studied as a successful experience. Keywords: COVID-19, Control, Successful model, Ira