Evaluation of Neighborhood Socio-Economic Status, as Measured by the Delphi Method, on Dengue Fever Distribution in Jeddah City, Saudi Arabia

Dengue fever, a mosquito-transmitted viral disease, is present in many neighborhoods in Jeddah City, Saudi Arabia. One factor likely to affect its distribution is the socio-economic status of local neighborhoods; however, the absence of socio-economic census data in Saudi Arabia has precluded detailed investigation. This study aims to develop a proxy measure of socio-economic status in Jeddah City in order to assess its relationship with the occurrence of dengue fever. The Delphi method was used to assess the socio-economic status (high, medium or low) of local neighborhoods in Jeddah City. A Geographic Information System (GIS) was applied to understand the distribution of dengue fever according to the socio-economic status of Jeddah City neighborhoods. Low-socio-economic status neighborhoods in south Jeddah City, with poor environmental conditions and high levels of poverty and population density, reported most cases of dengue fever. Nevertheless, dengue continues to increase in high socio-economic status neighborhoods in the northern part of the city, possibly due to ideal breeding conditions caused by the presence of standing water associated with high levels of construction. Moreover, the low-socioeconomic-status neighborhoods had the highest average number of cases, being 3.95 times that of high-status neighborhoods for the period 2006–2009. The Delphi approach can produce a useful and robust measure of socio-economic status for use in the analysis of patterns of dengue fever. Results suggest that there are nuances in the relationship between socio-economic status and dengue that indicate that higher status areas are also at risk. A useful additional tool for researchers in Saudi Arabia would be the development of census data or other systematic measures that allow socio-economic status to be included in spatial analyses of dengue fever and other diseases.

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Availability of activity-related resources in senior apartments: does it differ by neighbourhood socio-economic status?

Ageing and Society ◽

10.1017/s0144686x08007939 ◽

2009 ◽

Vol 29 (3) ◽

pp. 397-411 ◽

Cited By ~ 6

Author(s):

VERENA H. MENEC ◽

DAWN M. VESELYUK ◽

AUDREY A. BLANDFORD ◽

SCOTT NOWICKI

Keyword(s):

Census Data ◽

Economic Status ◽

Social Activity ◽

Grocery Store ◽

Socio Economic Status ◽

Apartment Buildings ◽

Level Of Activity ◽

Canadian City ◽

Neighbourhood Characteristics ◽

Exercise Classes

ABSTRACTResearch has shown that the level of activity of the residents of a city's neighbourhood is related to the availability of activity-related resources. This study aimed to characterise the housing environment in which many older adults live by exploring what activity-related resources were available in senior apartment buildings in one Canadian city, Winnipeg. Of 195 senior apartment buildings in the city, 190 were surveyed to examine whether variation in the buildings' activity resources was related to neighbourhood characteristics, particularly socio-economic status. Resources were classified as those for physical activities (e.g. exercise classes), social activities (e.g. card games), and services (e.g. a grocery-store shuttle). The neighbourhood characteristics were taken from census data and included socio-economic and socio-demographic measures. The apartment buildings varied considerably in the resources available, and a positive relationship was found between neighbourhood income and physical and social activity programmes and services. Lower residential stability and a higher percentage of residents living alone were also related to the buildings' resource-richness, and senior apartment buildings with limited activity-related resources clustered in disadvantaged neighbourhoods. How senior apartments are resourced should be examined in relation to the neighbourhood in which they are located.

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The Employment Disadvantage of Mothers: Evidence for Systemic Discrimination

Journal of Industrial Relations ◽

10.1177/0022185608099668 ◽

2009 ◽

Vol 51 (1) ◽

pp. 113-130 ◽

Cited By ~ 7

Author(s):

Tanya Carney

Keyword(s):

Household Income ◽

Career Paths ◽

Economic Status ◽

High Status ◽

Socio Economic Status ◽

Part Time ◽

Using Data ◽

Systemic Discrimination ◽

Ideal Worker ◽

Worker Behaviour

When their need to provide care and their need for paid employment are equally important, mothers try to combine both roles, often through part time employment, or to stagger these competing needs by taking employment breaks. Using data from the Household, Income and Labour Dynamics of Australia (HILDA) Survey1 this article analyses the resulting detriments to the ability of mothers to continue career paths across the occupational spectrum. Analysis of this data is used to argue that employment disadvantage is generated by mothers' inability to conform to `ideal worker' behaviour and therefore can be construed as `systemic discrimination'. Norms of `ideal' behaviour are shown to be stronger in occupations of high status and as a result mothers are at a greater risk of becoming excluded from employment within these occupations. Further, 26 percent of Australian working mothers will experience occupational exclusion, an event where further employment is secured only by moving down the occupational hierarchy to jobs of lower socio-economic status.

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The socio-economic status of communities predicts variation in brain serotonergic responsivity

Psychological Medicine ◽

10.1017/s0033291704003757 ◽

2004 ◽

Vol 35 (4) ◽

pp. 519-528 ◽

Cited By ~ 44

Author(s):

STEPHEN B. MANUCK ◽

MARIA E. BLEIL ◽

KAREN L. PETERSEN ◽

JANINE D. FLORY ◽

J. JOHN MANN ◽

...

Keyword(s):

Census Data ◽

Allelic Variation ◽

Peak Plasma ◽

Economic Status ◽

Community Sample ◽

Economic Disadvantage ◽

Acute Administration ◽

Plasma Prolactin ◽

Census Tracts ◽

Socio Economic Status

Background. We reported previously that the socio-economic status (SES) of individuals predicts variation in brain serotonergic responsivity, as assessed by neuropharmacological challenge in an adult community sample, and that this association is qualified by allelic variation in the serotonin transporter gene-linked polymorphic region (5-HTTLPR). Here we examine whether serotonergic responsivity covaries similarly with the SES of communities, as indexed by US Census data in the same study sample.Method. Community SES was defined by levels of income, economic disadvantage, housing costs, and educational attainment of census tracts in which 249 locally recruited study participants (54% male) resided. Serotonergic responsivity was assessed as the baseline-adjusted, peak plasma prolactin (Prl) concentration following acute administration of the serotonin-releasing agent, fenfluramine; tissue for DNA extraction and 5-HTTLPR genotyping was available on 131 participants.Results. Subjects residing in census tracts of lower SES showed a blunted Prl response to fenfluramine (diminished serotonergic responsivity) relative to individuals living in more affluent neighborhoods. When adjusted for personal income and education, SES at the community level continued to predict fenfluramine-stimulated Prl responses and did so independently of 5-HTTLPR genotype.Conclusions. Area-level indices of relative social and economic disadvantage covary with individual differences in brain serotonergic responsivity, and this association is, in part, independent of individually defined SES. These findings may be relevant to reported effects of low community SES on the prevalence of psychiatric disorders or behaviors associated with dysregulation of central serotonergic function, such as depression, impulsive aggression, and suicide.

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Minorities and Diversity in Scotland: Evidence from the 2011 Census

Scottish Affairs ◽

10.3366/scot.2017.0162 ◽

2017 ◽

Vol 26 (1) ◽

pp. 23-47 ◽

Cited By ~ 1

Author(s):

Ross Bond

Keyword(s):

Large Scale ◽

Minority Groups ◽

Census Data ◽

Social Research ◽

Economic Status ◽

National Minority ◽

Socio Economic Status ◽

Large Scale Data ◽

Majority Population ◽

Scale Data

The relatively low proportion of people in ethnic and national minority groups in Scotland has been an obstacle for social research concerning these minorities, especially in characterising and comparing these populations using large scale data. The 2011 census offers an invaluable resource in this regard, especially at a time when minorities are growing to represent a more prominent and significant element in Scotland's population. This paper uses standard aggregate census data and data derived from a 5% sample of census returns to provide an overview and comparison of the six largest minority groups in Scotland, focusing on the origins, identities and socio-economic status of people within these groups. It not only highlights how different minorities contrast with each other and the majority population, but also illuminates the diversity that exists within these groups.

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A Re-Examination Of The Property Tax Burden

Journal of Business & Economics Research (JBER) ◽

10.19030/jber.v14i2.9627 ◽

2016 ◽

Vol 14 (2) ◽

pp. 51-60

Author(s):

Mary Beal-Hodges ◽

Mary O. Borg ◽

Harriet A. Stranahan

Keyword(s):

Census Data ◽

Economic Status ◽

Property Tax ◽

Demographic Variables ◽

Single Family ◽

County Governments ◽

Tax Rate ◽

Current Income ◽

Fine Grained ◽

Socio Economic Status

The property tax is the major source of own revenues for most city and county governments, yet economists have had very little definitive information to share with policymakers about the burden that it imposes on local citizens. This is because most previous studies of property taxes have used a Suits index analysis which does not allow for any independent variables other than income. We estimate a regression model using current income and various socio-demographic variables in order to take a more fine grained approach. We use data obtained from the Florida Department of Revenue from 326,976 single family homeowners in four northeast Florida counties geo-coded with the 2010 block group census data. We find that the property tax is regressive with respect to current income. With respect to demographic variables, we find that homeowners over the age of 65 pay a higher average tax rate based on their current incomes. African Americans pay a lower tax rate than other races based on their current income. When we combine income and demographic variables to predict the tax rate paid by a hypothetical low socio-economic status household versus a high socio-economic status household, we find that the high SES household pays a higher average tax rate. Thus, the demographic variables temper the regressivity of the property tax based on current income alone.

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Low socio-economic status associated with increased risk of dengue haemorrhagic fever in Taiwanese patients with dengue fever: a population-based cohort study

Transactions of the Royal Society of Tropical Medicine and Hygiene ◽

10.1093/trstmh/trz103 ◽

2019 ◽

Author(s):

Yun-Ju Lai ◽

Hsin-Hao Lai ◽

Yu-Yen Chen ◽

Ming-Chung Ko ◽

Chu-Chieh Chen ◽

...

Keyword(s):

Cohort Study ◽

Dengue Fever ◽

Economic Status ◽

Dengue Haemorrhagic Fever ◽

Nucleic Acid Amplification ◽

Low Ses ◽

Haemorrhagic Fever ◽

Socio Economic Status ◽

Increased Risk ◽

The Impact

Abstract Background Evidence indicates that socio-economic status (SES) may affect health outcomes in patients with chronic diseases. However, little is known about the impact of SES on the prognosis of acute dengue. This nationwide cohort study determined the risk of dengue haemorrhagic fever (DHF) in Taiwanese dengue fever patients from 2000 to 2014. Methods From 1 January 2000, we identified adult dengue cases reported in the Taiwan Centers for Disease Control Notifiable Diseases Surveillance System Database. Dengue cases were defined as positive virus isolation, nucleic acid amplification tests or serological tests. Associations between SES and incident DHF were estimated using a Cox proportional hazards model. Results Of 27 750 dengue patients, 985 (3.5%) had incident DHF during the follow-up period, including 442 (4.8%) and 543 (2.9%) with low and high SES, respectively. After adjusting for age, sex, history of dengue fever and comorbidities, low SES was significantly associated with an increased risk of incident DHF (adjusted hazard ratio [AHR] 1.61 [95% confidence interval {CI} 1.42 to 1.83]). Rural-dwelling dengue patients had a higher likelihood of DHF complication than their urban counterparts (AHR 2.18 [95% CI 1.90 to 2.51]). Conclusions This study suggests low SES is an independent risk factor for DHF. Future dengue control programs should particularly target dengue patients with low SES for improved outcomes.

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Categorizing Ability by Kindergartners of High and Low Socio-Economic Status

Psychological Reports ◽

10.2466/pr0.1974.35.1.311 ◽

1974 ◽

Vol 35 (1) ◽

pp. 311-316 ◽

Cited By ~ 2

Author(s):

Roger Johnson

Keyword(s):

Small Groups ◽

Economic Status ◽

High Status ◽

Socio Economic Status ◽

Performance Profiles ◽

One To One

Two studies were conducted to explore the performance of categorizing ability in kindergartners and to compare children from high and low socio-economic backgrounds. Ss were tested in small groups with a representative sub-group interviewed to extend responses. Ss showed a rigid one-to-one perceptual focusing strategy and an attribute preference for shape over size and pattern. Ss of high status consistently scored higher on categorizing than Ss of low status, but the performance profiles of the two groups were very similar.

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Self-Concepts of Korean High School Students as Related to Socio-Economic Status

Psychological Reports ◽

10.2466/pr0.1982.50.1.15 ◽

1982 ◽

Vol 50 (1) ◽

pp. 15-18 ◽

Cited By ~ 2

Author(s):

Sung-Mook Hong

Keyword(s):

High School ◽

High School Students ◽

Economic Status ◽

Self Concept ◽

School Type ◽

High Status ◽

School Students ◽

Korean Society ◽

Socio Economic Status ◽

Apparent Reason

To investigate the relationships of self-concept to socio-economic status, the Self-concept Questionnaire of 30 adjective items was administered to 349 Korean high school students. They were divided into two groups: 177 high and 172 low socio-economic groups, using school type as the primary index of social class and father's occupation as the secondary index. Socioeconomic status was not significantly related to self-concept in spite of the highly stratified nature of the Korean society. High-status students, however, generally showed more positive self-concepts. Apparent reason for the lack of relationship was discussed in terms of a social learning view.

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Socio-Economical Status of India using Machine Learning Algorithms

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.e6610.018520 ◽

2020 ◽

Vol 8 (5) ◽

pp. 3804-3813

Keyword(s):

Machine Learning ◽

Census Data ◽

Economic Status ◽

Confusion Matrix ◽

Machine Learning Algorithms ◽

Machine Learning Techniques ◽

Clustering Methods ◽

Socio Economic Status ◽

The People ◽

Indian Census

Data is everywhere and lots of data is openly available to people. We can analyze this data to find the hidden and unnoticed information to use it purposefully. One important source of information is census data and it provides data related to the people living in a country. Analyzing such data is useful for knowing the socio economic status of the country. Data mining and machine learning techniques can be used to analyze such large volumes of data. In this work Indian census 2011 is analyzed and identified the socio economic status of different states of India. To identify the social status of each state we studied literacy rate, categories of workers in different fields, gender wise working population. To identify economical status like people living below poverty and above poverty we used clustering techniques of machine learning. At first we pre-processed the data and later correlation based feature selection was applied, and on that result k-means and k-mediods clustering methods were implemented independently. Finally the clusters are evaluated to see the performance using confusion matrix. The final results show that k-mediod has better performance than K-means.

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