Showing 3 results for Mortality
Amineh Naderi, Shahram Fattahi, Somayeh Azami,
Volume 17, Issue 1 (6-2019)
Abstract
Background and Aim: The trade-off between monetary wealth and fatal safety risks is explained by the value of statistical life, an efficient tool widely used to evaluate projects and allocate appropriate resources for road safety. The objective of this study was to estimate the statistical significance of life in order to improve road safety in the city of Ardabil, Iran.
Materials and Methods: Data were collected, in 2017, using a questionnaire for interviewing 300 drivers traveling daily in the city and analyzed using the stated choice method and the mixed logit model. First the purpose of the interview was explained to the drivers and, after they agreed to collaborate, the interviews were conducted. The authors pledged to keep the information confidential.
Results: The statistical value of life and of the injury for road safety improvement were estimated to be 1,077,551,000 and 1,178,570 Iranian Rials, respectively. The richer people, older people and those with university education were more willing to pay for road safety improvements.
Conclusion: One of the strategies for economic investment in improving road safety can be conducting collaborative research projects with other institutions, as well as using the experiences of countries successful in this field. In addition, road safety improvement projects can, in order to absorb capital, target richer people.
Nazar Dahmardeh Ghale No, Atefeh Delgarm,
Volume 20, Issue 3 (12-2022)
Abstract
Background and Aim: Economic complexity indicates the availability of knowledge within a country. Increasing economic complexity indicates an increased capacity of producing a diverse set of complex products. The complexity of the economic structure of a country is the main factor affecting social choices and human abilities, including but not limited to, employment and learning opportunities, and the employment status of an individual is an important determinant of his/her health status. Therefore, the production of advanced products depends to a large extent on the quality of human capital and knowledge. On the other hand, knowledge and education are widely recognized as promoting factors of the health of the population.
Materials and Methods: This research investigated the effect of the economic complexity index (ECI) on the health outcomes in seventeen selected countries in the region using panel data in the period 2001-2019 by using the quantile regression and the OLS ordinary least squares methods.
Results: Based on the findings of this study, ECI, globalization, economic growth and trade openness variables will improve health. However, despite this, the institutional quality variables, politics and urban population have not improved health in the countries studied.
Conclusion: The results of this research are particularly relevant to developing economies that usually suffer from poor health and low levels of economic complexity.
Abdolmajid Fadaei, Hajar Ahmadi, Esmaeil Fatahpoor, Yasser Jalilpour, Morteza Ariyanfar, Davood Jalili Naghan,
Volume 21, Issue 4 (3-2024)
Abstract
Background and Aim: Air pollution has been widely established as an important risk factor for heart and respiratory diseases and mortality. The aim of this study was to compare the relationships between short-term exposure to air pollutants and hospital admissions, cardiovascular and respiratory deaths and total deaths in Ahvaz and Shahrekord, Iran.
Materials and Methods: In this ecological and time-series study data were collected on hospital admissions, cardiovascular and respiratory deaths and total deaths between 2012 and 2018. For data analysis Quasi-Poisson regression combined with linear distributed lag models were used and adjusted for trend, seasonality, temperature, relative humidity, weekdays and holidays.
Results: Data analysis showed that in Ahvaz there were statistically significant direct correlations between PM10 exposure and respiratory admissions, PM2.5 exposure and total deaths and cardiovascular admissions, O3 exposure and total deaths, and CO exposure and cardiovascular admissions. As regards Shahrekord, there were statistically significant direct correlations between PM10 exposure and respiratory deaths, PM10 exposure and cardiovascular deaths, PM2.5 exposure and cardiovascular and respiratory admissions and respiratory deaths, O3 exposure and total deaths, and CO exposure and respiratory deaths.
Conclusion: It seems there are statistically significant relationships between air pollution and hospital admissions and deaths in Ahvaz and, to a lesser extent, in Shahrekord.
