Nursing labor supply in Iran: a survey in Shiraz public hospitals in 2022.

BACKGROUND: The labor supply of nurses, as one of the main healthcare workers, is an important issue in health human resources planning in all health systems. Finding the factors affecting it, could help policymakers to solve the shortage of nursing work supply. The present study aimed to investigating the quantity and factors affecting the nurses' labor supply in Iran. METHOD: In this cross-sectional study, a sample of 598 nurses working in public hospitals of Shiraz (Iran) were selected via proportionate stratified random sampling method. The required data was collected using a structured questionnaire which asked working hours and other related factors. To analyze the data, descriptive statistics, univariate analysis and multivariate linear regression were performed using STATA 15. The multivariate labor supply model was estimated separately for married and single nurses.  RESULTS: The average weekly working hours of nurses was 54.65 h in all medical centers and 50.28 h in the main hospital. The regression results showed that the labor supply of nurses with work experience (ß = - 0.368, P = 0.014), satisfaction with work shift arrangement (ß = - 2.473, P = 0.001), income between 60-89 million rial (ß = - 14.046, P = 0.002), income between  90-119 million rial(ß = - 12.073, P = 0.012), and working in the emergency department (ß = - 5.043, P = 0.017) had negative and significant relationship; But there was a positive and significant relationship with satisfaction of the work environment (ß = 1.86, P = 0.011), workload at work (ß = 1.951, P = 0.023) and employment status (contractual employees) (ß = 4.704, P = 0.004). CONCLUSION: The labor supply function of nurses is affected by demographic, economic and non-economic factors. The most contributing factors were related to non-economic variables. It seems that the non-financial cost and benefits related to the job as well as internal factors have more important role on the nurses' labor supply.

Appraisal of metallic pollution and ecological risks in agricultural soils of Alborz province, Iran, employing contamination indices and multivariate statistical analyses.

The current study was done to evaluate the pH, electrical conductivity, bulk density, sand, silt, clay, available K and P, organic carbon, Zn, Cu, Mn, and Fe in agricultural soils of Alborz province, Iran. A total of 46 samples were collected as composite samples from 0-20 and 20-40 cm soil depths. The average values of Fe, Cu, Mn, and Zn were found lower than the European limits, Indian limits, and Earth's crust. Pearson's correlation analysis found that pH effects Zn retention and, Cu and Mn retention in soil samples. Cluster analysis and Principal component analysis established that HMs are originated from different sources. Contamination factor (CF) and ecological risk index (RI) results showed less contamination and ecological risk in soil samples. Enrichment factor (EF) and modified ecological risk index (MRI) results indicated high enrichment and ecological risk of Cu, Mn, and Zn in surface and sub-surface soil samples.

Ecological risk assessment and source apportionment of heavy metals contamination: an appraisal based on the Tellus soil survey.

It is imperative to comprehend the level and spatial distribution of soil pollution with heavy metals to find sustainable management approaches for affected soils. Selected heavy metals (Mn, Zn, Pb, Cu, Cr, Ni, As, Co, and Cd) and physiochemical parameters were appraised for 620 samples from industrial, agricultural and urban sites in Northern Ireland using the Tellus database. The findings of this study showed that among the analyzed heavy metals, Mn content was the highest and Cd content the lowest. Pearson's correlation analysis revealed that heavy metals were highly correlated with each other, signifying similar sources for the heavy metals. Mixed factors (anthropogenic and lithogenic) were responsible for the contribution of heavy metals as revealed by multivariate statistical analysis. The results of contamination factor and enrichment factor analyses suggest that As, Cd, and Pb showed very high risk for pollution in the study area. The geoaccumulation index revealed that with the exception of Cd, all analyzed heavy metals showed severe accumulation in the soils. The potential and modified ecological risk indices inferred that Cd, As, and Pb represented ecological threats in the soils of Northern Ireland. The findings of this study will aid in forming approaches to decrease the risks associated with heavy metals in industrial, urban and agricultural soils, and help create guidelines to protect the environment from long-term accumulation of heavy metals.

Pollution assessment and spatial distribution of roadside agricultural soils: a case study from India.

The present work studied the pH, organic carbon, phosphorus (P), calcium (Ca), magnesium (Mg), and heavy metals Cu, Cr, Co and Pb in roadside agricultural soils of Jalandhar environs of Punjab, India. A total of 120 samples in triplicates were collected from different sites for assessment of heavy metal pollution. The mean values of Cu, Cr, Co and Pb were found below the permissible limits of Indian and Swedish soil limits. Principal component analysis (PCA) showed that heavy metals have different sources of origin. The results of contamination factor (CF), geoaccumulation index (Igeo), degree of contamination (Cd) and potential ecological risk index (RI) showed low contamination and ecological risks of heavy metals in roadside agricultural soils, respectively. The maps of spatial analysis indicated that northern region of the study area is more polluted.

Ecological risk assessment and source apportionment of heavy metal contamination in agricultural soils of Northeastern Iran.

The present work was designed to study the pH, sand, silt, clay, lime, organic carbon (OC), cation exchange capacity and heavy metals (Fe, Mn, Cu and Zn) in agricultural soils of Mashhad plain, Northeastern Iran. Pearson's correlation analysis showed that OC influenced the retention of Cu and Mn in both surface and subsurface agricultural soil samples. The results of contamination factor, pollution index and potential ecological risk (RI) indicated low pollution of Mn, Zn and Cu in the agricultural soil samples. The enrichment factor showed very high enrichment of heavy metals in surface (88.1%) and subsurface (79.1%) agricultural soil samples. The geoaccumulation index also indicated very high contamination of heavy metals in surface (87.5%) and subsurface (82.6%) soil samples. The modified potential ecological risk (MRI) showed 37.5% ecological risk in surface, and 32.5% ecological risk in subsurface soil samples of Mashhad plain, Northeastern Iran. Abbreviation: Fe: Iron; Mn: Manganese; Cu: Copper; Zn: Zinc; PCA: Principal component analysis; CA: Cluster analysis; CF: Contamination factor; EF: Enrichment factor; Igeo: Geoaccumulation index; PI: Pollution index; MPI: Modified pollution index; RI: Potential ecological risk index; MRI: Modified potential ecological risk index.

Bayesian estimation of a dynamic stochastic general equilibrium model with health disaster risk.

Pandemics are not new, but they continue to prevail in the last three decades. A variety of reasons such as globalization, trade growth, urbanization, human behavior change, and the rise of the prevalence of viral diseases among animals can account for this issue. Outbreaks of COVID-19 indicated that viral diseases have spread easily among nations, influencing their economic stability. In this vein, the motivation behind the present study was to get an understanding of the effect of the rise of the health disaster risk on the dynamics of Iran's macroeconomic variables by using Bayesian Dynamic Stochastic General Equilibrium. As opposed to Computable General Equilibrium models, DSGE models can be evaluated in a stochastic environment. Since the duration of the virus outbreak and its effect on the economy is not known, it is more appropriate to use these models. The results demonstrated that increased health disaster risk has a remarkable negative effect on macroeconomic variables. According to the findings of the research and the significance of public vaccination as an essential solution for improving health status and quality of life, it was suggested that the government pave the path for the thriving of businesses and socio-economic activities as early as possible by employing specific policies such as tax exemption or budget allocation for vaccine manufacturing companies or importers.