Introduction: Yazd province is the center of Iran and the highway for travelers to other cities. This province is susceptible to disease transmission in Iran. This study aimed to spatial analysis of corona virus prevalence, predicting the spread and determination of hot spot areas in Yazd province, central part of Iran. Methods: This analytical Cross-sectional study was conducted in Yazd province from February 2020 to January 2021. Patients with COVID-19 admitted to hospitals in Yazd province were selected by census. Required information includes the number of patients as well as their place of residence were collected through the hospital information system (HIS) of Shahid Sadoughi Hospital in Yazd, Iran. The inclusion criteria were positive polymerase chain reaction (PCR) test for COVID-19 and registration of patient information in the hospital emergency department. After collecting the data, it was entered into the ArcGIS software is 9.3.1. software. Moran's I measure and chi square test were used to data analysis. Significant level were considered 5 %. Results: Overall disease prevalence in Yazd province was equal to 0.0053. The prevalence of disease was higher in men women (55.7%, 3412 cases). The highest prevalence of the disease occurred in Yazd city (0.0096) and the highest death occurred in Meybod city (20.8%). Bahabad city also had the highest number of transfer (2.7%). Areas one (15.2% and 932 patients) and two (15.9% and 975 patients) of Yazd city were the most infected areas. There was no significant spatial pattern between the prevalence of the disease in the cities (Moran's Index: 0.18, P-value = 0.58). Conclusion: There was no spatial pattern in the prevalence of the disease and only in the city of Yazd, regions one and two need the special attention of policymakers.

Background: Beneficial effects of vitamins and dietary supplements in the prevention and treatment of metabolic syndrome (MS) are controversial. This study aims to evaluate the association between dietary supplements intake and MS. Methods: This analytical cross-sectional analysis was conducted on 9539 people aged 35-70 years who participated in the recruitment phase of Shahedieh Cohort Study in Yazd-Iran (May 2015 to September 2017). The consumption of supplements, such as multivitamin-mineral, multivitamin, calcium-D, calcium, vitamin D, folic acid, omega 3, iron, and zinc were asked in the study. the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) criteria used for defining MS. Results: 4785 (50.2%) men and 4754 (49.8%) women with mean age of 47.64 ± 9.60 years participated in this study. The prevalence of MS was 2901 (30.41%). The participants with MS were significantly different in consuming supplements, such as Calcium-D (P < 0.001), Calcium (P < 0.001), Calcium-D or Calcium products (P = 0.001), vitamin D; injection (P = 0.017) and vitamin D orally or injection (P = 0.005), Omega 3, fish oil (P = 0.001), and at least one supplement intake (P = 0.001). However, the relationship between MS and supplement consumption was not significant after adjusting for covariates in the multivariate regression model. Conclusion: Multiple factors may be responsible for the high prevalence of MS. It seems that a known supplement may not be the pathologic factor in the MS.

Introduction: Following the epidemic crisis and the outbreak of Coronavirus 2019 (Covid-19) in Iran and other provinces, the statistics of the patients showed that Yazd is among the top few provinces in the country in terms of the prevalence and incidence of this deadly disease. Therefore, this study aims to investigate the risk factors related to the life status of patients with coronavirus. Methods: In this cross-sectional analytical study, demographic, clinical, and biochemical information of 932 patients who were infected with COVID-19 from May 2018 to March  2019 and were hospitalized in Shahid Sadoughi Hospital in Yazd were examined. Information was recorded through patients’ records or telephone calls. Data analysis was performed by independent t-test, Mann-Whitney, Chi-square, and logistic regression using SPSS-22 software. Results: Based on the results 57.9% (N=540) of patients were male and the mean age of all patients was 53.33 (19 ± 0.15) years, and also 9.6% (N=82) of patients died. The risk of death for patients hospitalized in the intensive care unit (ICU) was 75 times higher than that of patients who were hospitalized in general wards. Also, the risk of death for patients with a history of cancer was 12 times higher than other patients. The risk factors associated with mortality were identified by multivariate logistic regression model, which included increasing age, having shortness of breath, history of cancer, hospitalization in the ICU, increased white blood cell count, and sodium deficiency. Conclusion: In order to reduce the mortality of patients with COVID-19, it is necessary for physicians to prioritize the treatment of elderly patients with underlying diseases, such as cancer and shortness of breath in order to improve their clinical condition.