Brazil was one of the countries most impacted by the COVID-19 pandemic,with a cumulative total of nearly 700,000 deaths by early 2023.The country's federative units were unevenly affected by the pandemic and adopt...Brazil was one of the countries most impacted by the COVID-19 pandemic,with a cumulative total of nearly 700,000 deaths by early 2023.The country's federative units were unevenly affected by the pandemic and adopted mitigation measures of different scopes and intensity.There was intense conflict between the federal government and state governments over the relevance and extent of such measures.We build a simple regression model with good predictive power on state COVID-19 mortality rates in Brazil.Our results reveal that the federative units'urbanization rate and per capita income are important for determining their mean mortality rate and that the number of physicians per 100,000 inhabitants is important for modeling the mortality rate precision.Based on the fitted model,we obtain approximations for the levels of administrative efficiency of local governments in dealing with the pandemic.展开更多
This paper introduces several alternative statistical approaches to modeling and prediction of electric energy generated by photovoltaic farms. The statistical models use outputs of a numerical weather prediction mode...This paper introduces several alternative statistical approaches to modeling and prediction of electric energy generated by photovoltaic farms. The statistical models use outputs of a numerical weather prediction model as their inputs. Presented statistical models allow for easy-to-compute predictions, both in temporal sense and for out-of-sample individual farms. Model performance is illustrated on a sample of real photovoltaic farms located in the Czech Republic.展开更多
Background Vancomycin resistant enterococci(VRE)are now considered a global public health issue.In this study,we explored the relationship between vancomycin resistance incidence and various demographic and climatic f...Background Vancomycin resistant enterococci(VRE)are now considered a global public health issue.In this study,we explored the relationship between vancomycin resistance incidence and various demographic and climatic factors.Methods This retrospective study was performed between January 1st,2014 and December 31st,2021.Data covering the consumption of vancomycin,the prevalence of vancomycin resistance,and relevant demographics were collected.Spearman's rank correlation,beta regression,and spatial statistical analysis were performed using R version 4.2.2 and ArcGIS version 10.7.Results Spearman's rank correlation described the positive relation between vancomycin consumption and the prevalence of vancomycin resistant Enterococcus faecium(VRE_(fm)).Multiple regression analysis showed that vancomycin consumption,rural population,proportion of population aged≥65,annual temperature,and bed number in medical institutions per thousand people were significantly correlated with VRE_(fm)prevalence(r=56.22,p<0.001;r=0.0002,p<0.001;r=0.06,p<0.001;r=−0.07,p<0.001;and r=−0.37,p<0.001,respectively).Conclusions Vancomycin utilization was the predominant factor contributing to VRE_(fm)resistance;the effects of rural populations and the proportion of the population aged≥65 were significant but relatively minimal.Annual temperature and the number of beds in medical institutions per thousand people were protective factors against VRE_(fm).展开更多
基金financial support from Conselho Nacional de Desenvolvimento Científico e Tecnologico(CNPq).
文摘Brazil was one of the countries most impacted by the COVID-19 pandemic,with a cumulative total of nearly 700,000 deaths by early 2023.The country's federative units were unevenly affected by the pandemic and adopted mitigation measures of different scopes and intensity.There was intense conflict between the federal government and state governments over the relevance and extent of such measures.We build a simple regression model with good predictive power on state COVID-19 mortality rates in Brazil.Our results reveal that the federative units'urbanization rate and per capita income are important for determining their mean mortality rate and that the number of physicians per 100,000 inhabitants is important for modeling the mortality rate precision.Based on the fitted model,we obtain approximations for the levels of administrative efficiency of local governments in dealing with the pandemic.
文摘This paper introduces several alternative statistical approaches to modeling and prediction of electric energy generated by photovoltaic farms. The statistical models use outputs of a numerical weather prediction model as their inputs. Presented statistical models allow for easy-to-compute predictions, both in temporal sense and for out-of-sample individual farms. Model performance is illustrated on a sample of real photovoltaic farms located in the Czech Republic.
基金supported by grants from the National Natural Science Foundation of China(No.72304275 and No.82273696).
文摘Background Vancomycin resistant enterococci(VRE)are now considered a global public health issue.In this study,we explored the relationship between vancomycin resistance incidence and various demographic and climatic factors.Methods This retrospective study was performed between January 1st,2014 and December 31st,2021.Data covering the consumption of vancomycin,the prevalence of vancomycin resistance,and relevant demographics were collected.Spearman's rank correlation,beta regression,and spatial statistical analysis were performed using R version 4.2.2 and ArcGIS version 10.7.Results Spearman's rank correlation described the positive relation between vancomycin consumption and the prevalence of vancomycin resistant Enterococcus faecium(VRE_(fm)).Multiple regression analysis showed that vancomycin consumption,rural population,proportion of population aged≥65,annual temperature,and bed number in medical institutions per thousand people were significantly correlated with VRE_(fm)prevalence(r=56.22,p<0.001;r=0.0002,p<0.001;r=0.06,p<0.001;r=−0.07,p<0.001;and r=−0.37,p<0.001,respectively).Conclusions Vancomycin utilization was the predominant factor contributing to VRE_(fm)resistance;the effects of rural populations and the proportion of the population aged≥65 were significant but relatively minimal.Annual temperature and the number of beds in medical institutions per thousand people were protective factors against VRE_(fm).
