[No abstract available]

Background and Aim: The use of geophysical analysis of the epidemiology to identify geographical factors affecting the prevalence of the disease can be effective on community health policies to control the prevalence of the virus. Therefore, the present study is a geographical analysis of the COVID-19 epidemiology in Iran. Therefore, the purpose of this study is the geographical analysis of coronavirus transmission in the country. Methods: This is a descriptive-analytical study and ArcGIS and GeoDa software has been used to analyze the data.

Background and Aim: COVID-19 has widely spread around the world and has a high mortality rate. The aim of this study was to determine the challenges and strategies to deal with SARS-CoV-2 from the perspective of physicians and nurses in Iranshahr, southern of Sistan and Baluchestan, Iran. Methods: In this descriptive-analytical study, 100 physicians and nurses have participated who working in the wards related to COVID-19 (respiratory isolation ward, intensive care unit and emergency department) of Iran and Khatam-ul-Anbia hospitals in Iranshahr.

Background: In December of last year, Coronavirus disease 2019 (COVID-19) was first identified in Wuhan,China. The disease is likely to have serious consequences, especially for the physical and mental health of individuals. Aim: To investigate the fear of coronavirus spreading and the feeling created after seeing a foreign tourist in Yazd is located in the center of Iran. Methods: This cross-sectional study was conducted in February 2020 in the city of Yazd (before and afterstart the epidemic of COVID-19 in IR.Subjects were entered this research by convenience sampling method.

The etiologic agent SARS-CoV-2 has caused the outbreak of COVID-19 which is spread widely around the world. It is vital to uncover and investigate the full genome sequence of SARS-CoV-2 throughout the world to track changes in this virus. To this purpose, SARS-CoV-2 full genome sequence profiling of 20 patients in Iran and different countries that already had a travel history to Iran or contacts with Iranian cases were provided from the GISAID database.

Background: A clear picture of people’s adoption of protective behaviours, and a thorough understanding of psychosocial correlates in the context of contagious diseases such as COVID-19, is essential for the development of communication strategies, and can contribute to the fight against epidemics. Methods: In this paper, we report a survey on the adoption of the recommended protective behaviours before and during the epidemic.

Background Scant data are available about global patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spread and global epidemiology of early confirmed cases of COVID-19 outside mainland China. We describe the global spread of SARS-CoV-2 and characteristics of COVID-19 cases and clusters before the characterisation of COVID-19 as a pandemic.

The aim of this study was to estimate the basic reproduction number (R0) of COVID-19 in the early stage of the epidemic and predict the expected number of new cases in Shahroud in Northeastern Iran. The R0 of COVID-19 was estimated using the serial interval distribution and the number of incidence cases. The 30-day probable incidence and cumulative incidence were predicted using the assumption that daily incidence follows a Poisson distribution determined by daily infectiousness. Data analysis was done using “earlyR” and “projections” packages in R software.

The SARS-CoV-2 epidemic has rapidly spread outside China with major outbreaks occurring in Italy, South Korea, and Iran. Phylogenetic analyses of whole-genome sequencing data identified a distinct SARS-CoV-2 clade linked to travellers returning from Iran to Australia and New Zealand. This study highlights potential viral diversity driving the epidemic in Iran, and underscores the power of rapid genome sequencing and public data sharing to improve the detection and management of emerging infectious diseases. VC The Author(s) 2020. © 2020 BioMed Central Ltd.. All rights reserved.