This article aims at answering the following questions: (1) What is the influence of age structure on the spread of coronavirus disease 2019 (COVID-19)? (2) What can be the impact of stringency policy (policy responses to the coronavirus pandemic) on the spread of COVID-19? (3) What might be the quantitative effect of development levelincome and number of hospital beds on the number of deaths due to the COVID-19 epidemic? By employing the methodologies of generalized linear model, generalized moments method, and quantile regression models, this article reveals that the shares of median age, age 65, and age 70 and older population have significant positive impacts on the spread of COVID-19 and that the share of age 70 and older people in the population has a relatively greater influence on the spread of the pandemic. The second output of this research is the significant impact of stringency policy on diminishing COVID-19 total cases. The third finding of this paper reveals that the number of hospital beds appears to be vital in reducing the total number of COVID-19 deaths, while GDP per capita does not affect much the level of deaths of the COVID-19 pandemic. Finally, this article suggests some governmental health policies to control and decrease the spread of COVID-19.

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Aim: The aim of this study is to evaluate the attitudes of healthcare workers against seasonal influenza vaccine and the reasons for vaccine avoidance. Materials and Methods: This national survey was conducted from April 1st to June 30th in 2017. The study was carried out among health care workers working in primary, secondary and tertiary care settings. A total of 12 questions were sent to 5046 health care professionals from 55 different cities who agreed to participate in the survey. Results: 7% of the participants stated that they get vaccinated regularly every year. 65.8% of the participants stated that they don't get vaccinated at all. The most important reason for those who did not receive influenza vaccination was their disbelief in the necessity of the vaccination (51.9%). The most common reason for the seasonal influenza vaccination was the prevention of influenza infection (56.7%). Conclusion: The results of the study showed that HCWs influenza vaccination rates are very low. Doctors have been found to have slightly better rates than other HCWs. The high level of education and the increase in professional experience had a positive effect on the vaccination rate. It is important to know the HCWs attitudes and behaviors towards the vaccination to increase the rates.

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