Worldwide incidence and mortality of ovarian cancer and Human Development Index (HDI): GLOBOCAN sources and methods 2018

Ovarian cancer is the seventh most common cancer among women, accounting for about 4% of all cancers associated with women. This is a descriptive cross-sectional study based on extraction of cancer incidence data and cancer mortality rates from the Global Cancer Data in 2018. The incidence and mortality rates and ovarian cancer distribution maps were drawn for World countries. To analyze data, correlation test and regression tests were used to evaluate the correlation between its incidence and mortality with HDI. The results showed that there was a positive and significant correlation between ovarian cancer incidence (R = 0.409, P <0.0001) and mortality (R = 0.193, P <0.05) with HDI. The results showed that there was a positive and significant correlation between incidence with GNI ,MYS ,LEB and EYS ( P <0.0001). The results also demonstrated that there was a positive and significant correlation between mortality and GNI, MYS, LEB and EYS ( P <0.05).The linear regression model showed that a higher MYS [B = 0.2, CI95%: (- 0.03,0.5)] significantly increased the incidence of ovarian cancer and increased MYS [B = 0.2, CI95% (0.03, 0.4)] increased mortality. Given the positive and significant correlation between ovarian cancer incidence and mortality with HDI, attention to risk factors in these countries can be effective in curbing its incidence and mortality

Methicillin-Resistant Staphylococcus aureus Using Broth Micro Dilution Method in Iran: A Meta-Analysis (2007-2016)

Background:      Methicillin-resistant Staphylococcus aureus (MRSA) is one of the most signifuicant pathogens in Iran; it is one of the WHO-declared microbial resistance emergencies; and also one of the most important challenges facing the prevalence of resistance. The aim of this study was to detect MRSA using Broth Micro Dilution method and meta-analysis in Iran from 2007 to 2016. Methods:       Persian databases (including Magiran, Irandoc, and SID) and International databases (including pubmed, science direct, and scopus) were searched during this period (2007-2016), such that the high heterogeneity (50% < I2) in this study was analyzed using the DerSimonian Laird method. Data were categorized into subgroups based on year of study and province. Due to the high validity of the diagnosis of organisms and quantitative results, antimicrobial susceptibility test (AST) was used to detect MRSA. Data analysis was performed using statsdirect software. Results:      Based on the available data in medical databases, 678 articles were selected. In total, 29 remaining studies entered the meta-analysis phase. In this study, the overall prevalence of MRSA using MIC is 53% (95% CI: 0.42.31, 63.90); in 2016 it was 77.56% (95% CI: 76.07, 78.99) and in 2007 was 57.49% (95% CI: 53.17, 61.72). The heterogeneity was estimated to be 98.5% (95% CI: 98.4, 98.6). Conclusion:    Based on the results, there is an increasing prevalence of MRSA in Iran. These may be due to the failure or lack of infection control activities and antimicrobial selection pressure

Geographical distribution of falciparum malaria in the world and its relationship with the human development index (HDI): countries based on the WHO report in 2017

Aim: Malaria is one of the most serious public health issues worldwide and is still responsible for the deaths of nearly half a million individuals every year worldwide. The aim of this study is to investigate the epidemiology of the incidence of and mortality from malaria and its association with the human development index (HDI). Subjects and methods: The present research is an ecological study conducted in 2017 that explored the association between the HDI and incidence of and mortality from malaria in WHO regions based on data extracted from the World Bank. In this study, the two-variable correlation method was adopted to analyze the data extracted to investigate the correlation between malaria incidence and HDI. A significance level of P < 0.05 was considered. The analyses were performed using Stata14 software. Results: The highest incidence of malaria in the world was reported in 2001 (80.73 per 1000 people) and the lowest in 2017 (59.12 per 1000). The results revealed a significant reverse correlation between malaria incidence (r = −0.640, P < 0.0001) and the HDI index in 2017. The analysis of HDI decomposites with malaria incidence in 2017 demonstrated a reverse and significant correlation between malaria incidence and gross national income per 1000 capita (r = −0.365, P < 0.0001), mean years of schooling (r = −0.477, P < 0.0001), life expectancy at birth (r = −0.694, P < 0.0001) and expected years of schooling (r = −0.458, P < 0.0001). Conclusion: Given the reverse correlation between malaria incidence and HDI, a greater emphasis on factors associated with the disease in these countries, effective prevention and awareness raising about the means of transmission can be effective in curbing the incidence of this disease