scholarly journals Access to and exclusion from housing over time: Refugees' experiences in rural areas

2020 ◽  
Author(s):  
Tobias Weidinger ◽  
Stefan Kordel
Keyword(s):  
2018 ◽  
Vol 51 ◽  
pp. 7-26 ◽  
Author(s):  
Marcin Mazur ◽  
Konrad Czapiewski ◽  
Krzysztof Janc ◽  
Michał Konopski

Sprawne funkcjonowanie społeczności lokalnych w ramach danego obszaru jest w dużej mierze uzależnione od potencjału oraz możliwości wykorzystania miejscowych zasobów. Jednym z ważniejszych zasobów i czynników kształtujących rozwój lokalny jest kapitał ludzki tkwiący w danej społeczności, a w szczególności w lokalnych władzach samorządowych. Celem artykułu jest identyfikacja charakterystycznych cech struktury władz samorządowych na obszarach wiejskich Polski. Pod uwagę wzięto zarówno przestrzenną, czasową, jak i funkcjonalną zmienność tej struktury. Opis przestrzeni zaprezentowano w aspekcie międzyregionalnym, zróżnicowania między regionami historycznymi oraz wewnątrzregionalnym w zależności od odległości od większych ośrodków miejskich. Podstawę analizy zróżnicowania w aspekcie funkcjonalnym stanowiła typologia funkcjonalna gmin z 2010 r., pozwalająca wyróżnić 8 podstawowych typów struktury gospodarki lokalnej. Zakres czasowy stanowią kadencje wójtów i burmistrzów w okresie 2002–2018. Zakres przedmiotowy opracowania obejmuje wiek, płeć i wykształcenie oraz miejsce zamieszkania i stabilność władzy. Uzyskane wyniki pozwoliły wskazać szereg prawidłowości dotyczących zróżnicowania każdej z pięciu wymienionych cech władz lokalnych. Prawidłowości te są jednak mniej wyraźne niż w przypadku zróżnicowania zachowań wyborczych mieszkańców.


2011 ◽  
Vol 50 (9) ◽  
pp. 1872-1883 ◽  
Author(s):  
Winston T. L. Chow ◽  
Bohumil M. Svoma

AbstractUrbanization affects near-surface climates by increasing city temperatures relative to rural temperatures [i.e., the urban heat island (UHI) effect]. This effect is usually measured as the relative temperature difference between urban areas and a rural location. Use of this measure is potentially problematic, however, mainly because of unclear “rural” definitions across different cities. An alternative metric is proposed—surface temperature cooling/warming rates—that directly measures how variations in land-use and land cover (LULC) affect temperatures for a specific urban area. In this study, the impact of local-scale (<1 km2), historical LULC change was examined on near-surface nocturnal meteorological station temperatures sited within metropolitan Phoenix, Arizona, for 1) urban versus rural areas, 2) areas that underwent rural-to-urban transition over a 20-yr period, and 3) different seasons. Temperature data were analyzed during ideal synoptic conditions of clear and calm weather that do not inhibit surface cooling and that also qualified with respect to measured near-surface wind impacts. Results indicated that 1) urban areas generally observed lower cooling-rate magnitudes than did rural areas, 2) urbanization significantly reduced cooling rates over time, and 3) mean cooling-rate magnitudes were typically larger in summer than in winter. Significant variations in mean nocturnal urban wind speeds were also observed over time, suggesting a possible UHI-induced circulation system that may have influenced local-scale station cooling rates.


2021 ◽  
Author(s):  
Jithin Sam Varghese ◽  
John Maluccio ◽  
Solveig Cunningham ◽  
Manuel Ramirez-Zea ◽  
Aryeh Stein

Abstract Background Asset-based indices are widely-used proxy measures of wealth in low and middle-income countries (LMIC). The stability of these indices within households over time is not known. Methods We develop a harmonized household asset index for the participants (n = 2392) of INCAP Longitudinal Study, Guatemala using data from six waves of follow-up over the period of 1965–2018. We estimate its cross-sectional association with parental schooling (in 1967-75) and attained schooling (in 2015-18) of cohort members. We study how patterns of cross-sectional loadings change over time and between urban-rural settings. We assess its robustness to omission of assets or study waves and alternate specifications of factor extraction procedure. Results The harmonized index created using 8 assets and 11 housing characteristics explained 32.4% of the variance. Most households increased in absolute wealth over time with median wealth (25th percentile, 75th percentile; households) increasing from − 3.74 (-4.42, -3.07; 547) in 1967 to 2.08 (1.41, 2.67; 1145) in 2017-18. Ownership of television, electricity, quality of flooring and sanitary installation explained the largest proportion of variance. The index is positively associated with measures of schooling (maternal: r = 0.16; paternal: r = 0.10; attained: r = 0.35, all p < 0.001). In 2015-18, house ownership versus housing characteristics and ownership of electronic goods differentiate households in urban and rural areas respectively. The index is robust for omission of assets or study waves, indicator categorization and factor extraction method. Conclusion A temporally harmonized asset index administered consistently over time may allow study of associations of life-course social mobility with human capital outcomes in LMIC contexts. Our approach permits exploration of trends in household wealth of the sample over a follow-up period against repeated cross-sectional surveys which permit the estimation of only the mean trajectory.


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Lauren Blacker ◽  
Shari Krishnaratne

Abstract Objectives Childhood vaccines and biannual vitamin A delivery by health systems are key to child health; suboptimal administration may be a result of inadequate coverage or access to health systems. There have been national programs set in Ethiopia, such as the health sector development program, to improve child health. Therefore, we sought to describe trends in infant vaccines and vitamin A in urban and rural settings in Ethiopia. We hypothesized there would be an increase over time in infants (1) receiving all basic vaccines and (2) vitamin A in the past 6 months. We also hypothesized (3) coverage would be higher in urban settings. Methods We used four nationally representative Demographic and Health Surveys (DHS) from Ethiopia between 2000 and 2016. The analysis comprised 11,621 infants 6–23 months old. Logistic regression models using a forward-stepwise approach were created to test these 3 hypotheses, controlling for wealth, age, sex of infant, and mother's highest education level. Interaction terms were fitted between survey year and education level, setting and education level, and setting and wealth index quintile, and tested using the Wald test. Results (1) The percentage of infants having received all basic vaccines increased from 11.1% in 2000 to 31.0% in 2016; the odds of having received these vaccines increased over time also. (2) This is not true for vitamin A, where there was no pattern in the odds of having received vitamin A between survey years. (3) Rural infants were 40% less likely to have received all basic vaccines, compared to urban infants (adjusted odds ratio (AOR): 0.60; 95% CI: 0.43, 0.83), and there was no evidence of an association between setting and receiving vitamin A (AOR: 0.81; 95% CI: 0.61, 1.09). There was strong evidence for interaction between setting and mother's highest education level, setting and wealth index quintile, and survey year and education level (all P < 0.01). Conclusions These results suggest that (1) while there has been improvement in infants receiving basic vaccines, (2) progress may be slowing slightly in vitamin A coverage and (3)there is a need to improve coverage of basic vaccines for infants in rural areas. Strengthening of and improved access to health services should remain a priority to ensure proper distribution of vaccines and vitamin A in Ethiopia. Funding Sources N/A. Supporting Tables, Images and/or Graphs


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S828-S828
Author(s):  
Na Sun ◽  
Cassandra Hua ◽  
Xiao Qiu ◽  
J Scott Brown

Abstract Loneliness is associated with depression among older adults. Limited research has examined the role of rurality in relationship to loneliness and depression; the extant research has mixed findings. The socioemotional selectivity theory states that as people age the quality of relationships become more important than the quantity (English & Carstensen, 2016). Individuals in rural areas may have a low quantity of relationships but deeper social ties within the community; thus, they may be less likely to become depressed over time. The association between loneliness and depression may be amplified for people in non-rural areas because they are surrounded by other people but lack close relationships that are most important during the aging process. This study examines the effect of living in rural areas on loneliness on predicting baseline depression and loneliness, as well as changes in these outcomes over time. Data are from the 2006-2014 waves of Health Retirement Study. Regression models examine the relationship between depression loneliness and rural residence controlling for health conditions and demographic characteristics. Latent curve models examine the disparity in trajectories of loneliness and depressive symptoms by urban and rural residence. Older adults who feel lonely (p&lt;.001) and in urban areas (p&lt;.0.05) are more likely to be depressed. Furthermore, the effect of loneliness on depression is weakened by rural residence (p&lt;.05). It is salient to understand the protective effect of rural residency on depression among older adults in the U.S. We discuss implications for policy.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 872-872 ◽  
Author(s):  
Jae H. Park ◽  
Katherine S Panageas ◽  
Maria J Schymura ◽  
Baozhen Qiao ◽  
Joseph G Jurcic ◽  
...  

Abstract Abstract 872 Background: All-trans retinoic acid (ATRA) with contemporary therapeutic strategies for the treatment of patients with newly diagnosed acute promyelocytic leukemia (APL) have dramatically improved outcome. Currently, the major cause for treatment failure is death during induction mostly due to hemorrhage, infection and differentiation syndrome. Since there is virtually no primary resistance to induction and the relapse rate once in complete remission (CR) is very low, reducing the early death rate would be critical to further improve the cure rate. The true rate of early death in the United States (US) is not yet clear. Cooperative group multicenter studies report early death rates of 5–10% within 1 month of starting therapy which is likely an underestimation, in part, due to failure to account for those who die prior to registration on study or possibly other selection biases for enrollment. Methods: We performed an epidemiologic study of the true rate of early death and overall survival (OS) using US population-based datasets of all newly diagnosed patients with APL. The datasets from SEER Program 13 (includes 5 states: Connecticut, Hawaii, Iowa, New Mexico and Utah; 8 metropolitan areas including Detroit, Atlanta, San Francisco-Oakland, Seattle-Puget Sound, Los Angeles, San Jose-Monterey, Alaska Native Registry and rural Georgia) and the New York (NY) State Cancer Registry were used to identify patients with APL registered in the US and NY state from January 1, 1992 to December 31, 2007. Patterns of APL incidence, early death rate, long-term OS over time, and differences in OS by region (urban vs. rural) were analyzed in pre-set time periods of 1992–1996, 1997–2001, and 2002–2007. Results: A total of 1,400 and 721 patients with APL were identified in the SEER program and the NY registry, respectively. The number of registered APL patients was similar between men and women in both datasets, and has steadily increased from 1992–1996 (295 cases in SEER and 143 in NY) to 2002–2007 (681 cases in SEER and 371 in NY). Early death rate, defined as death reported within the first month of diagnosis, was 22.7% in the years 1992–1996, 15.6% in 1997–2001, and 18.1% in 2002–2007 in the SEER program, and 10.9%, 11.9% and 11.2% in the NY registry. No significant differences in the early death rate were observed between urban and rural areas in either datasets. OS at 1 year improved from 59.8% in 1992–1996 to 69.6% in 1997–2001; at 2 years from 53.7% to 65.3%; and at 3 years from 50.2% to 63.7% in the datasets from the SEER program. There were no significant changes in OS from 1997–2001 to 2002–2007, and similar trends in OS were observed in the NY datasets (Figure). Interestingly, when the survival data were analyzed by the urban/rural regions in the SEER program, the greatest improvement was observed in patients treated in the urban counties with absolute increases in 2- and 3-year OS of 15.3% (from 53.1 in 1992–1996 to 68.4% in 2002–2007) and 17.6% (from 49.8 to 67.4%), respectively. In contrast, in patients treated in rural counties, increases in 0.4% (from 62.5 in 1992–1996 to 62.9% in 2002–2007) and 7.3% (from 55.6 to 62.9%) were observed in 2- and 3-year OS, respectively. However, the latter statement should be interpreted with caution since the rural OS estimates are imprecise due to small numbers. Conclusions: The large number of newly diagnosed APL patients and the long follow-up reported here confirm improvement in OS over time in a US population-based study. Disappointingly, the early death rate has changed only modestly since 1992 (22.7% in 1992–1996, and 18.1% in 2002–2007), and appears significantly higher than what is reported in contemporary clinical trials. Furthermore, the long-term OS, though improved over time, appears lower than that reported in clinical trials. In fact, more than 25% of patients are not cured of their disease. OS in patients treated in rural areas appears worse, possibly related, in part, to less access to specialized centers, although the analysis is limited due to small numbers. Strategies to reduce the early death rate in APL and improve OS should include very early introduction of ATRA, arsenic trioxide or both and aggressive blood product support at the very first suspicion of the diagnosis well before genetic confirmation. Disclosures: No relevant conflicts of interest to declare.


2016 ◽  
Vol 28 (3) ◽  
pp. 265-276 ◽  
Author(s):  
Hrishikesh Chakraborty ◽  
Sharon Weissman ◽  
Wayne A Duffus ◽  
Akhtar Hossain ◽  
Ashok Varma Samantapudi ◽  
...  

Community viral load is an aggregate measure of HIV viral load in a particular geographic location, community, or subgroup. Community viral load provides a measure of disease burden in a community and community transmission risk. This study aims to examine community viral load trend in South Carolina and identify differences in community viral load trends between selected population subgroups using a state-wide surveillance dataset that maintains electronic records of all HIV viral load measurements reported to the state health department. Community viral load trends were examined using random mixed effects models, adjusting for age, race, gender, residence, CD4 counts, HIV risk group, and initial antiretroviral regimen during the study period, and time. The community viral load gradually decreased from 2004 to 2013 ( p < 0.0001). The number of new infections also decreased ( p = 0.0001) over time. A faster rate of decrease was seen among men compared to women ( p < 0.0001), men who have sex with men ( p = 0.0001) compared to heterosexuals, patients diagnosed in urban areas compared to that in rural areas ( p = 0.0004), and patients prescribed single-tablet regimen compared to multiple-tablet regimen ( p < 0.0001). While the state-wide community viral load decreased over time, the decline was not uniform among residence at diagnosis, HIV risk group, and single-tablet regimen versus multiple-tablet regimen subgroups. Slower declines in community viral load among females, those in rural areas, and heterosexuals suggest possible disparities in care that require further exploration. The association between using single-tablet regimen and faster community viral load decline is noteworthy.


2020 ◽  
Author(s):  
Devarupa Gupta ◽  
Dibyendu Biswas ◽  
Pintu Kabiraj

Abstract India was the second highest COVID-19 affected country in the world with 2.1 million cases by 11th August. This study focused on the spatial transmission of the pandemic among the 640 districts in India over time, and aimed to understand the urban-centric nature of the infection. The connectivity context was emphasized that possibly had inflicted the outbreak. Using the modes of transmission data for the available cases, the diffusion of this disease was explained. Metropolitans contributed three-fourths of total cases from the beginning. The transport networks attributed significantly in transmitting the virus from the urban containment zones. Later, there was a gradual shift of infections from urban to rural areas; however, the numbers kept increasing in the former. The massive reverse migration after lockdown spiked the infected cases further. Districts with airports reported more with influx of international passengers. A profound east-west division in April with higher infections in the southern and western districts existed. By mid-May eastern India saw a steep rise in active cases. Moran’s I analysis showed a low autocorrelation initially which increased over time. Hotspot clustering was observed in western Maharashtra, eastern Tamil Nadu, Gujarat and around Kolkata by the second week of August. The diffusion was due to travel, exposure to infected individuals and among the frontline workers. Spatial regression models confirmed that urbanization was positively correlated with higher incidences of infections. Transit mediums, especially rail and aviation were positively associated. These models validated the crucial role of spatial proximity in diffusion of the pandemic.


2021 ◽  
Vol 41 (2) ◽  
pp. 1-17
Author(s):  
Sugata Sumida ◽  
Keisuke Kawata

The learning gap between urban and rural areas is a persistent problem in many sub-Saharan African countries. Previous studies have found that the urban-rural learning gap is attributed to the fact that student characteristics and school resources are different in urban and rural areas. Our study updates this finding by using the latest dataset and further examines the changes in the attributed sources over time. Using 15 educational systems in sub-Saharan Africa, we examined 4 potential sources of the gap: student, family, teacher, and school characteristics. Our results reveal that the urban-rural learning gap in recent years is attributed mostly to differences in school and family characteristics. We also found that the attribution remains the same over time from 2004 to 2011 and that the attribution to family characteristics’ differences became slightly greater than the one to school characteristics’ differences.


Author(s):  
Michael Anderson ◽  
Corinne Roughley

The parish database shows major variations in trends and timings of population changes in less urbanized areas of Scotland. Even within parishes, people increasingly concentrated into larger villages and towns at the expense of more remote areas. The critical minimum size for settlements increased over time, but depended on distance from other larger places and on whether a locality became more than just a centre for agricultural activity. Mining and factory industry were key sources of growth even in many rural areas but caused major legacy problems as they collapsed. Fishing and its related activities increasingly concentrated on a small number of large centres. Transport hubs, administrative and school infrastructure, and large-scale retail facilities were dependent on, but also supported, population size. Agrarian systems varied widely across Scotland and each produced its own pattern of population sex ratios, migration, and change.


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