Rural-Urban Disparity of Under-Five Mortality Rate in Iran from 1990 to 2015

2020 ◽  
Author(s):  
Younes MOHAMMADI ◽  
Manoochehr KARAMI ◽  
Nasrin DERAKHSHANZADEH
Keyword(s):  
Mortality Rate ◽  
Rural Areas ◽  
Urban Areas ◽  
Maternal Age ◽  
National Level ◽  
Demographic And Health Surveys ◽  
Live Births ◽  
Under Five ◽  
Rural And Urban Areas ◽  
Rural And Urban

Background: To estimate under-five mortality rate (U5MR), as one of the sustainable development goals, in rural and urban areas of Iran from 1990 to 2015. Methods: We used the data collected through two censuses and one Demographic and Health Surveys (DHS). We analyzed the Summary Birth History (SBH) data via 2 approaches including Maternal Age Cohort (MAC) and Maternal Age Period (MAP) methods, and then, Gaussian Process Regression (GPR) was used to combine the three trends and with 95% uncertainty. Finally, Ratio of U5MR in rural to urban was calculated. Results: At the national level and in urban areas, U5MR in 1990, 2000, 2010, and 2015 was 66, 34, 18, and 13 per 1000 live births, respectively. Corresponding values in rural areas in 1990, 2000, 2010, and 2015 was 129, 64, 31, and 21 per 1000 live births, respectively. Accordingly, the ratio of U5MR in rural to urban at the national level was 1.93, 1.86, 1.72 and 1.63 in the same years. At the sub-national level, U5MR in urban areas ranged from 11.2 per 1000 live births in Isfahan to 18.2 per 1000 live births in Hormuzagn. U5MR in rural areas ranged from 14.1 per 1000 live births in Isfahan to 29.5 per 1000 live births in Sistan and Baluchistan Conclusion: There is still a gap between rural and urban areas, although it has decreased during the 25 years of the study. To alleviate this gap, health system authorities are advised to plan appropriate actions using multisectoral capacities

scholarly journals Determining the lx and estimating the force of mortality for children under five in Bangladesh

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 2045
Author(s):  
Md. Rafiqul Islam ◽  
Md. Sohel Rana ◽  
Md. Mosharaf Hossain ◽  
Aziza Sultana Rosy Sarkar ◽  
Ruhani Mat Min
Keyword(s):  
Mortality Rate ◽  
Rural Areas ◽  
Urban Areas ◽  
Secondary Data ◽  
Fourth Degree ◽  
Under Five ◽  
Rural And Urban Areas ◽  
Force Of Mortality ◽  
Rural And Urban ◽  
Health Situation

Background: Under-five mortality is a health indicator in population health and the health sciences. Force of death is a more accurate measure of mortality than others, which indicates the situation of mortality when time tends to zero. The purpose of this research is to construct a simulation for lx (the number of people living at exact age x) for under-five mortality in Bangladesh as a whole, and separately for rural and urban areas, and then estimating the mortality rate in regard to these matched models. Methods: Secondary data were collected from Bangladesh Demographic and Health Survey 2007. A polynomial model was selected to match the lx values. To prove the accuracy of the model, the rule of cross-validity was applied. Results: It has been shown that fourth degree polynomial models can be adjusted to lx values ​​with explanation of more than 94% variation. It was noted that the mortality rate shows a rapidly decreasing pattern for people aged 0-20 months, a monotonically increasing pattern for those aged 20-53.5 months and then it begins to decrease. It is found that the mortality rate in rural areas is higher than in urban areas of all ages. Conclusions: It has been shown that the mortality rate in rural areas is higher than for urban areas of all ages, except for those aged 53.5 months. The health situation should therefore be improved to reduce mortality in rural Bangladesh.

scholarly journals Rural and Urban Correlates of Stunting Among Under-Five Children in Sierra Leone: A 2019 Nationwide Cross-Sectional Survey

2021 ◽  
Vol 14 ◽  
pp. 117863882110470
Author(s):  
Quraish Sserwanja ◽  
Kassim Kamara ◽  
Linet M Mutisya ◽  
Milton W Musaba ◽  
Shirin Ziaei
Keyword(s):  
Sierra Leone ◽  
Rural Areas ◽  
Urban Areas ◽  
Tertiary Education ◽  
Under Five ◽  
Factors Associated ◽  
Under Five Children ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Childhood Stunting

Background: Undernutrition accounts for at least 50% of the annual global under-five mortality burden. Although disparities in the childhood stunting between urban and rural areas in Sierra Leone have been documented, information on factors associated with these differences is lacking. We aimed to determine rural-urban correlates of stunting among children under the age of 5 in Sierra Leone. Methods: We analyzed data from 2019 Sierra Leone demographic and health survey (SLDHS) focusing on under-five children. We conducted multivariable logistic regression to examine rural-urban factors associated with childhood stunting. Results: Prevalence of stunting was 31.6% (95% CI 29.8-33.2) in rural areas and 24.0% (95% CI 21.6-26.1) in urban areas. Within the rural areas, children of stunted mothers (aOR = 2.37; 95% CI 1.07-5.24, P < .05), younger mothers aged 15 to 19 years (aOR = 2.08; 95% CI 1.17-3.69, P < .05), uneducated mothers (aOR = 1.87; 95% CI 1.28-2.71, P < .01), as well as older children (24-59 months) (aOR = 1.83; 95% CI 1.48-2.27, P < .001), and boys (aOR = 1.37; 95% CI 1.12-1.66, P < .01) were more likely to be stunted compared to those of non-stunted, older, post-primary education mothers and those who were less than 24 months and girls respectively. While urban children whose fathers had lower education (aOR = 1.94; 95% CI 1.10-3.42, P < .05), whose mothers were more parous (para 2-4) (aOR = 1.74; 95% CI 1.03-2.95, P < .05), and boys (aOR = 1.48; 95% CI 1.06-2.08, P < .05) were more likely to be stunted compared to their counterparts with fathers that had tertiary education, mothers of low parity and girls, respectively. Conclusions: Stunting is more prevalent in the rural areas compared to the urban areas. Sex of the child was the only significant factor in both rural and urban areas. Our study findings suggest that programs designed to reduce stunting should aim for integrated yet context specific interventions in rural and urban areas.

Digital Divide in India

2012 ◽  
pp. 106-130 ◽  
Author(s):  
Sumanjeet Singh
Keyword(s):  
Digital Divide ◽  
Rural Areas ◽  
Urban Areas ◽  
National Level ◽  
Content Creation ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Urban India ◽  
Building Community ◽  
The Government

Existing studies of the digital divide reveals the gap that exists between those who have access to ICTs and those who do not create exclusion, endanger social integration and hamper economic growth. The digital divide has many dimensions and can be categorized as global, regional and national. At national level, there is no single divide, but multiple divides: for instance, within countries, between men and women, young and elderly, rich and poor and most importantly rural and urban. The present paper is mainly focused on India and tries to explore the problem of digital divide mainly in rural-urban India. In the context of the present paper digital divide essentially means tele-density, mobile and Internet divide between the rural and urban areas. In this paper, the author reveals that obstacles such as illiteracy, lack of skills, infrastructures, and investment in rural areas must be tackled if India is to diminish the gap of the digital divide. The government should work toward connectivity provision, content creation, capacity augmentation, core technologies creation and exploitation, cost reduction, competence building, community participation and commitment to the deprived and disadvantaged to bridge the digital divide.

Digital Divide in India

2010 ◽  
Vol 1 (2) ◽  
pp. 1-24 ◽  
Author(s):  
Sumanjeet Singh
Keyword(s):  
Digital Divide ◽  
Rural Areas ◽  
Cost Reduction ◽  
Urban Areas ◽  
National Level ◽  
Content Creation ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Building Community ◽  
The Government

Existing studies of the digital divide reveals the gap that exists between those who have access to ICTs and those who do not create exclusion, endanger social integration and hamper economic growth. The digital divide has many dimensions and can be categorized as global, regional and national. At national level, there is no single divide, but multiple divides: for instance, within countries, between men and women, young and elderly, rich and poor and most importantly rural and urban. The present paper is mainly focused on India and tries to explore the problem of digital divide mainly in rural-urban India. In the context of the present paper digital divide essentially means tele-density, mobile and Internet divide between the rural and urban areas. In this paper, the author reveals that obstacles such as illiteracy, lack of skills, infrastructures, and investment in rural areas must be tackled if India is to diminish the gap of the digital divide. The government should work toward connectivity provision, content creation, capacity augmentation, core technologies creation and exploitation, cost reduction, competence building, community participation and commitment to the deprived and disadvantaged to bridge the digital divide.

scholarly journals Rural EMR adoption rates overtake those in urban areas

2015 ◽  
Vol 22 (2) ◽  
pp. 399-408 ◽  
Author(s):  
Brian E. Whitacre
Keyword(s):  
United States ◽  
Rural Areas ◽  
Urban Areas ◽  
National Level ◽  
State Level ◽  
The United States ◽  
Physician Practices ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Emr Adoption

Abstract Objective To assess rural-urban differences in electronic medical record (EMR) adoption among office-based physician practices in the United States. Methods Survey data on over 270 000 office-based physician sites (representing over 1 280 000 physicians) in the United States from 2012 was used to assess differences in EMR adoption rates among practices in rural and urban areas. Logistic regression tests for differences in the determinants of EMR adoption by geography, and a nonlinear decomposition is used to quantify how much of the rural-urban gap is due to differences in measureable characteristics (such as type of practice or affiliation with a health system). Results Overall EMR adoption rates were significantly higher for practices in rural areas (56%) vs those in urban areas (49%) in 2012 (P &lt; 0.001). Twenty-nine states had statistically significantly different adoption rates between rural and urban areas, with only two states demonstrating higher rates in urban areas. EMR adoption continues to be higher for primary care practices when compared to specialists (51% vs 49%, P &lt; 0.001), and state-level rural-urban differences in adoption are more pronounced for specialists. The decomposition technique finds that only 14% of the rural-urban gap can be explained by differences in measurable characteristics between practices. Conclusions At the national level, rates of EMR adoption are higher for rural practices than for their urban counterparts, reversing earlier trends. This suggests that outreach efforts, namely the Regional Extension Centers created by the Office of the National Coordinator, have been particularly effective in increasing EMR adoption in rural areas.

TURNING FARMERS INTO SOCIAL FARMER ENTREPRENEURS FOR DISADVANTAGED PEOPLE

2020 ◽  
Author(s):  
Remus Runcan
Keyword(s):  
Rural Communities ◽  
Low Income ◽  
Rural Areas ◽  
Urban Areas ◽  
Health And Safety ◽  
Physical Work ◽  
Healthy Environment ◽  
Rural And Urban Areas ◽  
Rural Development Programme ◽  
Rural And Urban

According to Romania’s National Rural Development Programme, the socio-economic situation of the rural environment has a large number of weaknesses – among which low access to financial resources for small entrepreneurs and new business initiatives in rural areas and poorly developed entrepreneurial culture, characterized by a lack of basic managerial knowledge – but also a large number of opportunities – among which access of the rural population to lifelong learning and entrepreneurial skills development programmes and entrepreneurs’ access to financial instruments. The population in rural areas depends mainly on agricultural activities which give them subsistence living conditions. The gap between rural and urban areas is due to low income levels and employment rates, hence the need to obtain additional income for the population employed in subsistence and semi-subsistence farming, especially in the context of the depopulation trend. At the same time, the need to stimulate entrepreneurship in rural areas is high and is at a resonance with the need to increase the potential of rural communities from the perspective of landscape, culture, traditional activities and local resources. A solution could be to turn vegetal and / or animal farms into social farms – farms on which people with disabilities (but also adolescents and young people with anxiety, depression, self-harm, suicide, and alexithymia issues) might find a “foster” family, bed and meals in a natural, healthy environment, and share the farm’s activities with the farmer and the farmer’s family: “committing to a regular day / days and times for a mutually agreed period involves complying with any required health and safety practices (including use of protective clothing and equipment), engaging socially with the farm family members and other people working on and around the farm, and taking on tasks which would include working on the land, taking care of animals, or helping out with maintenance and other physical work”

scholarly journals Urban–rural disparity in cancer incidence in China, 2008–2012: a cross-sectional analysis of data from 36 cancer registers

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e042762
Author(s):  
Shuai Yuan ◽  
Shao-Hua Xie
Keyword(s):  
Cancer Incidence ◽  
Rural Areas ◽  
Urban Areas ◽  
Incidence Rates ◽  
Cancer Type ◽  
Anatomic Site ◽  
Cross Sectional ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Urban Rural

ObjectiveThe substantial differences in socioeconomic and lifestyle exposures between urban and rural areas in China may lead to urban–rural disparity in cancer risk. This study aimed to assess the urban–rural disparity in cancer incidence in China.MethodsUsing data from 36 regional cancer registries in China in 2008–2012, we compared the age-standardised incidence rates of cancer by sex and anatomic site between rural and urban areas. We calculated the rate difference and rate ratio comparing rates in rural versus urban areas by sex and cancer type.ResultsThe incidence rate of all cancers in women was slightly lower in rural areas than in urban areas, but the total cancer rate in men was higher in rural areas than in urban areas. The incidence rates in women were higher in rural areas than in urban areas for cancers of the oesophagus, stomach, and liver and biliary passages, but lower for cancers of thyroid and breast. Men residing in rural areas had higher incidence rates for cancers of the oesophagus, stomach, and liver and biliary passages, but lower rates for prostate cancer, lip, oral cavity and pharynx cancer, and colorectal cancer.ConclusionsOur findings suggest substantial urban–rural disparity in cancer incidence in China, which varies across cancer types and the sexes. Cancer prevention strategies should be tailored for common cancers in rural and urban areas.

Relating Household Consumption Expenditures to Road Traffic Fatalities: A Rural–Urban Study

2021 ◽  
pp. 036119812110332
Author(s):  
Ruchika Agarwala ◽  
Vinod Vasudevan
Keyword(s):  
Developing Countries ◽  
Traffic Safety ◽  
Rural Areas ◽  
Urban Areas ◽  
Household Consumption ◽  
Household Expenditure ◽  
Traffic Fatality ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
The Relationship

Research shows that traffic fatality risk is generally higher in rural areas than in urban areas. In developing countries, vehicle ownership and investments in public transportation typically increase with economic growth. These two factors together increase the vehicle population, which in turn affects traffic safety. This paper presents a study focused on the relationship of various factors—including household consumption expenditure data—with traffic fatality in rural and urban areas and thereby aims to fill some of the gaps in the literature. One such gap is the impacts of personal and non-personal modes of travel on traffic safety in rural versus urban areas in developing countries which remains unexplored. An exhaustive panel data modeling approach is adopted. One important finding of this study is that evidence exists of a contrasting relationship between household expenditure and traffic fatality in rural and urban areas. The relationship between household expenditure and traffic fatality is observed to be positive in rural areas and a negative in urban areas. Increases in most expenditure variables, such as fuel, non-personal modes of travel, and two-wheeler expenditures, are found to be associated with an increase in traffic fatality in rural areas.

scholarly journals Urban–Rural Disparities in the Magnitude and Determinants of Stunting among Children under Five in Tanzania: Based on Tanzania Demographic and Health Surveys 1991–2016

2021 ◽  
Vol 18 (10) ◽  
pp. 5184
Author(s):  
Wenjun Zhu ◽  
Si Zhu ◽  
Bruno F. Sunguya ◽  
Jiayan Huang
Keyword(s):  
Urban Areas ◽  
Health Surveys ◽  
Demographic And Health Surveys ◽  
Household Level ◽  
Individual Level ◽  
Child Stunting ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Urban Rural ◽  
The Individual

Our study aims to examine the disparity of under-5 child stunting prevalence between urban and rural areas of Tanzania in the past three decades, and to explore factors affecting the rural–urban disparity. Secondary analyses of Tanzania Demographic and Health Surveys (TDHS) data drawn from 1991–1992, 1996, 1999, 2004–2005, 2009–2010, and 2015–2016 surveys were conducted. Under-5 child stunting prevalence was calculated separately for rural and urban children and its decline trends were examined by chi-square tests. Descriptive analyses were used to present the individual-level, household-level, and societal-level characteristics of children, while multivariable logistic regression analyses were performed to examine determinants of stunting in rural and urban areas, respectively. Additive interaction effects were estimated between residence and other covariates. The results showed that total stunting prevalence was declining in Tanzania, but urban–rural disparity has widened since the decline was slower in the rural area. No interaction effect existed between residence and other determinants, and the urban–rural disparity was mainly caused by the discrepancy of the individual-level and household-level factors between rural and urban households. As various types of determinants exist, multisector nutritional intervention strategies are required to address the child stunting problem. Meanwhile, the intervention should focus on targeting vulnerable children, rather than implementing different policies in rural and urban areas.

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