Background: As the outbreak of coronavirus disease 2019 (COVID19) is a worldwide pandemic it is rapidly expanding in Iran realtime analyses of epidemiological data are needed to increase situational awareness and inform interventions. In this study we built a predictive model based on the cumulative trend of new cases and deaths for the top five provinces. we will also look at modeling the trends for confirmed cases deaths and recovered for the whole country. Method: In this study we have chosen to apply the exponential smoothing model to iteratively forecast future values of a regular time seires from weighted averages of past daily values of the series. This method is exponential because the value of each level is influenced by every preceeding actual value to an exponentially decreasing degree more recent values are given a greater weight. The available data is too small to identify seasonal patterns and make predictable variation in value, such as annual fluctuation in temperature relative to the season. Trend is a tendency in the data to increase or decrease over time. Results: If no control measures are put in place it is expected that over 40000 would be infected in Tehran around the middle of June. However if control measures were implemented with a high degree of success one would expect the spread of the COV19 virus would peak at the start of April with a downward trend dropping off by the end of May (70 days). In the scenario that no further measures are implemented, one would expect the spread of COVID19 to continue on a gentle incline reaching 21000 by mid-June. The same process has been applied to review the confirmed deaths and recovered dataset. The forecast has been carried out for the next 30 days a shorter timeframe has been selected as there is a high probability that the Iranian New Years celebration Farvardin first month of Spring (30th March in Western calendar) will have an impact on the infection rate following the event. The best predictive model predicts the confirmed cases to be in the range of 35000 70000 with the number of reported COVDI-19 deaths to be between 3000 5000 and 5000 30000 of recovered cases. Conclusions: Modeling outbreak ofCovid19 shows that the number of patients and deaths is still increasing. Contagious diseases follow an exponential model and the same be Haves this one. This is because the virus can spread to others and finally each person turns into a carrier of the virus and transmit it to another person. Disease control depends on disconnection and social distancing. In addition many factors are effective in stopping the disease. These include citizens participation in the prevention process health education the effectiveness of instructive traditions environmental conditions and so on.

PurposeThe purpose of this study is to measure the gap and compare the quality of services provided by the Central Library of the University of Tehran and Allameh Tabataba'i University and identify the components of service that need improvement in these libraries.Design/methodology/approachIn this study, a descriptive survey method is used for data collection. The study sample contains 205 people selected out of 31,000 members of Tehran University and 100 people out of 15,000 members at Allameh Tabataba'i University. The LibQual tool is used to measure different levels of users' perceptions of library service quality.FindingsBased on the findings of the study, the level of service received at the University of Tehran was higher than the minimum expected level, and at Allameh Tabataba'i University, the level of service received was lower than the minimum level of expected, which indicates users' satisfaction at this index at the University of Tehran and users' dissatisfaction at Allameh Tabataba'i University. In the index of information control and library as a place in Tehran University, the level of service received was higher than the minimum level and in Allameh Tabataba'i University, the level of service received was lower than the minimum level, which indicates the satisfaction of users in this index at the University of Tehran and users' dissatisfaction at Allameh Tabataba'i University.Practical implicationsService quality, or quality of service, is the measurement and comparison of the size of service provided with users' expectations. The following principles illustrate the dimensions of service quality: Quality of service is much more difficult to measure than the quality of goods. The quality of service is based on users' expectations. Quality of service varies in status, meaning that the quality of a service is measured against the customer's initial expectations of that service (Parasuraman et al., 1985).Originality/valueBeing the first performance evaluation, community synchronization, economic justification, user satisfaction and customer orientation are the values of the present study.

Since content audiences, including libraries and information centres, are increasingly geared to digital environments and virtual networks, the production and delivery of high-quality digital content are becoming continuously important. So far, several components have been introduced by researchers for evaluating the quality of digital content generation. However, due to the uncertainty of the importance rate and value of each of these components, it has not yet been possible to use them effectively to evaluate the content produced. This study aimed to rank the components of content generation to allow accurate evaluation of them for users as well as content providers and distributors including libraries and marketers. The ranked content can motivate digital content producers and distributors to better evaluate the quality of digital content, better attract customers and make more effective decisions about the quality of digital content use based on their specific goals. Initially, 42 of the most important components were identified from the literature. Then, the next steps were taken to rank these components, and based on three rounds of Delphi interviews, the experts’ views on the importance rate of each of the components were obtained, analysed and ranked. Since in this ranking, the importance of a wide range of components should be highlighted towards each other, the fuzzy TOPSIS technique was emphasised for analysing the views of 16 experts in the field of content generation in Iran. This ranking indicated that components such as ‘findable and access’, ‘non-disturbing and helpful’, ‘clear’ and ‘remarkable’ are the main pillars of content generation and are of the utmost importance. The results can be used as an effective tool to improve the quality of content. Moreover, it increases audience engagement in digital environments and social networks, and encourages them to make more use of the digital content of libraries.

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