Background:The epidemic of a novel coronavirus illness becomes as a global threat. The aim of this study is first to find the best prediction models for daily confirmed cases in countries with high number of confirmed cases in the world and second to predict confirmed cases with these models in order to have more readiness in healthcare systems. Methods:This study was conducted based on daily confirmed cases of COVID-19 that were collected from the official website of Johns Hopkins University from January 22 th , 2020 to March 1 th , 2020. Auto Regressive Integrated Moving Average (ARIMA) model was used to predict the trend of confirmed cases. Stata version 12 were used.Results: Parameters used for ARIMA were (2,1,0) for Mainland China, ARIMA (2,2,2) for Italy , ARIMA(1,0,0) for South Korea, ARIMA (2,3,0) for Iran, and ARIMA(3,1,0) for Thailand.Mainland China and Thailand had almost a stable trend. The trend of South Korea was decreasing and will become stable in near future. Iran and Italy had unstable trends. Conclusions:Mainland China and Thailand were successful in haltering COVID-19 epidemic.Investigating their protocol in this control like quarantine should be in the first line of other countries' program

Background The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has profoundly affected the lives of millions of people. To date, there is no approved vaccine or specific drug to prevent or treat COVID-19, while the infection is globally spreading at an alarming rate. Because the development of effective vaccines or novel drugs could take several months (if not years), repurposing existing drugs is considered a more efficient strategy that could save lives now. Statins constitute a class of lipid-lowering drugs with proven safety profiles and various known beneficial pleiotropic effects. Our previous investigations showed that statins have antiviral effects and are involved in the process of wound healing in the lung. This triggered us to evaluate if statin use reduces mortality in COVID-19 patients. Results After initial recruitment of 459 patients with COVID-19 (Shiraz province, Iran) and careful consideration of the exclusion criteria, a total of 150 patients, of which 75 received statins, were included in our retrospective study. Cox proportional-hazards regression models were used to estimate the association between statin use and rate of death. After propensity score matching, we found that statin use appeared to be associated with a lower risk of morbidity [HR = 0.85, 95% CI = (0.02, 3.93), P = 0.762] and lower risk of death [(HR = 0.76; 95% CI = (0.16, 3.72), P = 0.735)]; however, these associations did not reach statistical significance. Furthermore, statin use reduced the chance of being subjected to mechanical ventilation [OR = 0.96, 95% CI = (0.61–2.99), P = 0.942] and patients on statins showed a more normal computed tomography (CT) scan result [OR = 0.41, 95% CI = (0.07–2.33), P = 0.312]. Conclusions Although we could not demonstrate a significant association between statin use and a reduction in mortality in patients with COVID19, we do feel that our results are promising and of clinical relevance and warrant the need for prospective randomized controlled trials and extensive retrospective studies to further evaluate and validate the potential beneficial effects of statin treatment on clinical symptoms and mortality rates associated with COVID-19.

Background: The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has profoundly affected the lives of millions of people. To date, there is no approved vaccine or specific drug to prevent or treat COVID-19, while the infection is spreading at an alarming rate globally. Because the development of effective vaccines or novel drugs could take several months (if not years), repurposing existing drugs is considered a more efficient strategy that could save lives now. Statins constitute a class of lipid-lowering drugs with proven safety profiles and many known beneficial pleiotropic effects. Our previous investigations showed that statins have antiviral effects and are involved in the process of wound healing in the lung. This triggered us to evaluate if statin use reduces mortality in COVID-19 patients. Results: After initial recruitment of 459 patients with COVID-19 (Shiraz province, Iran) and careful consideration of the exclusion criteria, a total of 150 patients, of which 75 received statins, were included in our retrospective study. Cox proportional-hazards regression models were used to estimate the association between statin use and rate of death. After propensity score matching, we found that statin use appeared to be associated with a lower risk of morbidity [HR=0.85, 95% CI=(0.02, 3.93), P=0.762] and lower risk of death [(HR= 0.76; 95% CI=(0.16, 3.72), P=0.735)]; however, these associations did not reach statistical significance. Furthermore, statin use reduced the chance of being subjected to mechanical ventilation [OR=0.96, 95% CI=(0.61–2.99), P=0.942] and patients on statins had a more normal computed tomography (CT) scan result [OR=0.41, 95% CI= (0.07–2.33), P=0.312]. Conclusions: Although we could not demonstrate a significant association between statin use and a reduction in mortality in patients with COVID19 , we do feel that our results are promising and of clinical relevance and warrant the need for prospective randomized controlled trials and extensive retrospective studies to validate the potential beneficial effects of statin treatment on clinical symptoms and mortality rates associated with COVID-19.

Purpose: Depression and anxiety are common disorders in patients suffering from type 2 diabetes. These disorders can lead to premature morbidity, exacerbate disease complications, make patients suffer more, and increase health-care costs. As diabetes has increased worldwide recently, it is necessary to reduce the prevalence of factors that are associated with depression and anxiety in diabetes patients. This study aimed to assess the prevalence of anxiety and depression and to identify their associated factors, including metabolic components among people with type 2 diabetes. Patients and Methods: We performed a cross-sectional study in 1500 patients with type 2 diabetes in Kerman, in the southern part of Iran. The prevalence of depression and anxiety was estimated using the Beck Depression Inventory and the Hamilton Anxiety questionnaires, respectively. After calculating the proportions of depression and anxiety, univariate logistic regression was performed. Factors whose P-values were smaller than 0.2 in univariate logistic regression were included in multiple logistic regression for confounder adjustments. The analysis was performed using SPSS version 20. Results: The rates of depression and anxiety were 59% (95% CI: 54.48-63.12) and 62% (95% CI: 59.51-66.27), respectively. Factors found to be independently associated with anxiety were high FBS, high LDL-C, high TG, hypertension, complications, low physical activity. Factors found to be independently associated with depression were female gender, older age, high BMI, high FBS, high LDL-C, low HDL-C, high TG, high HbA1c, hypertension, and low physical activity. Complications were independently associated with anxiety but not with depression. Female gender, older age, high BMI, low HDL-C, and high HbA1c were independently associated with depression but not with anxiety. Conclusion: Current findings demonstrated that a large proportion of patients with type 2 diabetes suffer from depression and anxiety. This study also identified factors associated with these disorders. Controlling some metabolic variables will decrease the prevalence of these disorders and improves clinical remedy and quality of life in patients with type 2 diabetes.

Neisseria meningitidis is an important causative agent of bacterial meningitis. The nasopharynx is the only known reservoir of this organism. Although the relationship between carriage and invasive disease is not completely understood, asymptomatic meningococcal carriers are considered as the most important sources for causing strains of disease. Living in closed and overcrowded places such as university dormitories can increase the carriage rate and meningococcal disease. This cross-sectional study was conducted to determine the prevalence of N. meningitidis carriers among male students living in three dormitories affiliated with Kerman University of Medical Sciences (Kerman, Iran). Nasopharyngeal swab was taken from all participants recruited in the study. Conventional microbiological tests were performed for isolation and detection of the organism. The amplification of crgA gene was used to confirm the identity of isolates. Molecular serogrouping was used to detect the six most frequent serotypes. The overall carriage rate was 6.8% (23/335). The capsular type of these isolates was in determinate (56.5%) or of serogroup C (43.5%). Multivariate logistic regression analysis revealed that cigarette smoking was significantly associated with meningococcal carriage (OR = 5.02; p = 0.01). Additionally, using univariate regression analysis, a significant association was found between water pipe smoking and carriage (p = 0.018). The rate of meningococcal carriage among male students in the studied population was lower as compared to other high-risk group (freshmen conscripts) in Iran. University students should be aware of the consequences of cigarette and water pipe smoking as risk factors in meningococcal carriage.