Serajeddin Mahmoudiani; Afshan Javadi; Maryam Janfaday
Abstract
Background: The outbreak of COVID-19 has become the current crisis in most countries. Therefore, paying attention to the consequences and determinants of COVID-19. Mortality can lead to better control of the condition. This study aimed to investigate the COVID-19 mortality rate and its demographic and ...
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Background: The outbreak of COVID-19 has become the current crisis in most countries. Therefore, paying attention to the consequences and determinants of COVID-19. Mortality can lead to better control of the condition. This study aimed to investigate the COVID-19 mortality rate and its demographic and health determinants in Fars province.Methods: This research was conducted using a quantitative method. For this purpose, available data for selected counties in Fars province were analyzed. The COVID-19 mortality rate was considered a dependent variable. In addition, the variables of literacy rate, urbanization rate, elderly population ratio, unemployment rate, the ratio of the active hospital, ratio of prehospital emergency stations, the ratio of centers for primary health care, and the ratio of active hospital beds were considered independent variables.Results: Findings showed that the variables of the elderly population ratio, urbanization rate, and unemployment rate had a direct relationship with the COVID-19 mortality rate. The findings also indicated that the COVID-19 mortality rate in the 45-49 age range begins to accelerate and peaks between 95 and 99 years old. In addition, the literacy rate was inversely related to the COVID-19 mortality rate. The results also showed an inverse relationship between all the selected health variables and the dependent variable.Conclusion: Improving the economic situation, specifically reducing the unemployment rate, emphasizing public education of the people, as well as improving the medical and health facilities, can facilitate the response to pandemics.
Serajeddin Mahmoudiani
Abstract
Background: Dramatic changes in the demographic behaviors of Iranian women have led to declining fertility after the mid-1980s. Childlessness is an important and growing issue and has increasingly become the focus of the problem by Iranian population policymakers.
Methods: The present study was conducted ...
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Background: Dramatic changes in the demographic behaviors of Iranian women have led to declining fertility after the mid-1980s. Childlessness is an important and growing issue and has increasingly become the focus of the problem by Iranian population policymakers.
Methods: The present study was conducted using the quantitative secondary data analysis method. Using the census microdata of population and housing in 2016, the researchers attempted to investigate the level and predictors of childlessness among married women aged 40–49. The data of 85799 married women aged 40–49 was analyzed.
Results: About 4% of the sample were childless. Logistic regression analysis indicated that the probability of childlessness for married women with university degrees, immigrant women, and employed women is higher than their counterparts. Furthermore, the findings suggested that women who live in apartments and those who live in private houses are less likely childless than their counterparts. Bigger houses lower the probability of being childless.
Conclusion: Government planning and policymaking to reducethe proportion of childlessness should improve household circumstances, especially their housing.
Serajeddin Mahmoudiani
Abstract
Background: Identifying the effect of the social environment in which couples live and the demographic decisions are made, along with individual characteristics, are important in explaining human fertility. In the present study, an attempt was made to explain women’s fertility in the six provinces ...
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Background: Identifying the effect of the social environment in which couples live and the demographic decisions are made, along with individual characteristics, are important in explaining human fertility. In the present study, an attempt was made to explain women’s fertility in the six provinces using the multi-level analysis. Methods: The present study is a quantitative research with emphasis on the secondary analysis of the existing data.The statistical population consists of married women aged 15-49 living in the selected provinces. The sample included 95421 individuals. The selected provinces were Gilan, Mazandaran, Tehran, Sistan & Baluchistan, South Khorasan and Hormozgan. The census micro-data of population and housing in 2016 as well as some socio-economic indexes of selected provinces were analyzed using HLM software. Place of residence, educational level and employment status were individual variables, while income per capita as well as unemployment and literacy rates were the contextual variables. Also, the number of children ever born was considered as the fertility index or dependent variable. Results: The impact of individual variables on women’s fertility is stronger than community effects. There were statistically significant inter-provincial differences in women’s fertility. All the women’s individual characteristics had a statistically significant impact on their fertility. Unemployment and literacy rates, as contextual effects, had a statistically significant impact on inter-provincial fertility. Conclusion: The inter-provincial differences in the fertility originate from their socio-economic circumstances. If the provinces’ socio-economic circumstances become similar, the convergence in fertility behavior across provinces may increase.
