scholarly journals Difference in PM2.5 Variations between Urban and Rural Areas over Eastern China from 2001 to 2015

Atmosphere ◽  
2018 ◽  
Vol 9 (8) ◽  
pp. 312 ◽  
Author(s):  
Changqing Lin ◽  
Alexis Lau ◽  
Ying Li ◽  
Jimmy Fung ◽  
Chengcai Li ◽  
...  
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Eastern China ◽  
Population Exposure ◽  
Spatial Difference ◽  
The Past ◽  
The Difference ◽  
Urban And Rural Areas ◽  
Pm2.5 Concentration

To more effectively reduce population exposure to PM2.5, control efforts should target densely populated urban areas. In this study, we took advantage of satellite-derived PM2.5 data to assess the difference in PM2.5 variations between urban and rural areas over eastern China during the past three Five-Year Plan (FYP) periods (2001–2015). The results show that urban areas experienced less of a decline in PM2.5 concentration than rural areas did in more than half of the provinces during the 11th FYP period (2006–2010). In contrast, most provinces experienced a greater reduction of PM2.5 concentration in urban areas than in rural areas during the 10th and 12th FYP periods (2001–2005 and 2011–2015, respectively). During the recent 12th FYP period, the rates of decline in PM2.5 concentration in urban areas were more substantial than in rural areas by as much as 1.5 μg·m−3·year−1 in Beijing and 2.0 μg·m−3·year−1 in Tianjin. These results suggest that the spatial difference in PM2.5 change was conducive to a reduction in the population exposure to PM2.5 in most provinces during recent years.

scholarly journals Decomposing Urban-rural Differences in Multimorbidity Among Older Adults in India: A Study Based on Lasi Data

2021 ◽  
Author(s):  
Shekhar Chauhan ◽  
Shobhit Srivast ◽  
Pradeep Kumar ◽  
Ratna Patel
Keyword(s):  
Older Adults ◽  
Rural Areas ◽  
Urban Areas ◽  
Decomposition Analysis ◽  
The Public ◽  
Analysis Techniques ◽  
Ageing Study ◽  
Urban Rural ◽  
The Difference ◽  
Urban And Rural Areas

Abstract Background: Multimorbidity is defined as the co-occurrence of two or more than two diseases in the same person. With rising longevity, multimorbidity has become a prominent concern among the older population. Evidence from both developed and developing countries shows that older people are at much higher risk of multimorbidity, however, urban-rural differential remained scarce. Therefore, this study examines urban-rural differential in multimorbidity among older adults by decomposing the risk factors of multimorbidity and identifying the covariates that contributed to the change in multimorbidity.Methods: The study utilized information from 31,464 older adults (rural-20,725 and urban-10,739) aged 60 years and above from the recent release of the Longitudinal Ageing Study in India (LASI) wave 1 data. Descriptive, bivariate, and multivariate decomposition analysis techniques were used.Results: Overall, significant urban-rural differences were found in the prevalence of multimorbidity among older adults (difference: 16.3; p<0.001). Moreover, obese/overweight and high-risk waist circumference were found to narrow the difference in the prevalence of multimorbidity among older adults between urban and rural areas by 8% and 9.1%, respectively.Conclusion: There is a need to substantially increase the public sector investment in healthcare to address the multimorbidity among older adults, more so in urban areas, without compromising the needs of older adults in rural areas.

Anisometropia in the 5th and 6th school years

2020 ◽  
Vol 30 (Supplement_2) ◽  
Author(s):  
A F Nunes ◽  
A S Nunes ◽  
P Monteiro ◽  
C R Martins ◽  
H Forte
Keyword(s):  
Binocular Vision ◽  
Rural Areas ◽  
Urban Areas ◽  
Basic Education ◽  
Age Groups ◽  
Separate Analysis ◽  
Chi Square ◽  
Screening Programs ◽  
The Difference ◽  
Urban And Rural Areas

Abstract Introduction Anisometropia is characterized by a refractive inter ocular difference greater than 1.00 dioptre (D). It is the main cause of amblyopia and loss of binocular vision. Its prevalence depends on several factors, being different values in different geographical areas of the world and in different age groups. Objectives To estimate the frequency of anisometropia in children of the 2nd cycle of Basic Education. Methodology A total of 519 children attending the 5th and 6th school years, from Covilhã schools, from urban and rural areas, aged between 9 and 14 years (10.8 ± 0.8 years) were enrolled in the study. The refractive error was measured with a paediatric auto refractometer (Plusoptix), without cycloplegic and in binocular conditions. Anisometropia was defined as the inter ocular difference in spherical equivalent or cylindrical, greater than 1.00 D and a separate analysis for values greater than 2.00 D. Results The sample was symmetrically divided into genders (50.9% Male), between school grade (53% 5th year) and higher in urban areas (70.1%). The prevalence of anisometropia with cut-off points of 1.00 D and 2.00 D was 12.3% and 5.0%, respectively. There was a higher prevalence among males, in rural areas and in 6th grade. The Chi-square test (□2) shows that the difference is statistically significant only between years of schooling, with a higher prevalence in the 6th grade (p = 0.001). Conclusion There was a slightly higher prevalence of spherical and cylindrical anisometropia (5% and 12.3%) than is reported in the literature (rates between 4.4% and 9.4%). The 6th school year presented rates significantly higher than the 5th year, which points out that anisometropia increases with age, as was also advocated by other authors. Visual screening programs in adolescence for the detection of anisometropia are fundamental, since their timely correction allows to safeguard the binocular vision.

scholarly journals Differences in maternal mortality between urban and rural areas: Analysis of  Maternal Mortality based in Jinan, China in 1995- 2018

2019 ◽  
Author(s):  
Lihua Zhang ◽  
Tingting Zhen ◽  
Qinyou Meng ◽  
Shimin Yang ◽  
Jiaxue Pan ◽  
...  
Keyword(s):  
Maternal Mortality ◽  
Maternal Death ◽  
Rural Areas ◽  
Urban Areas ◽  
Maternal Deaths ◽  
Policy Makers ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
The Difference ◽  
Urban And Rural Areas

Abstract Background: Although a large number of studies have shown that maternal mortality in rural areas is higher than that in urban areas, few reports discussed about the detailed situation and the behind causes. Here, we summarized the maternal mortality from 1995 to 2018 in Jinan and the reason behind it was deeply discussed. It is expected to reveal the difference and its behind reasons, thus providing a basis for policy makers to develop interventions. Methods: Data about maternal mortality in the selected city from 1995 to 2018 were collected through the local maternal and child health care network. Maternal death age, maternal death delivery location, maternal death location, number of pregnancies, number of deliveries and maternal death causes were analyzed. The composition ratio of above factors were compared in order to indicate the differences between rural areas and urban areas. Results: The study showed that 75.34% of maternal deaths in urban areas occurred in tertiary hospitals, which were 2.13 times higher than that in rural areas(P<0.05). 16.67% of maternal deaths in rural areas delivered in primary hospitals, which were 12.17 times higher than that in urban areas (P<0.05) . The main cause of death in rural areas were attributed to direct obstetrics reasons, which were indirect obstetric reasons for urban areas (P<0.05). There was no difference of maternal deaths in the death age, number of births, and number of pregnancies between rural areas and urban areas.(P>0.05) Conclusion: Policy makers should focus on the construction of medical institutions in rural areas, the improvement of rescue capabilities in rural areas and the convenience of transport in rural areas in order to narrow the gap between rural and urban areas. Key words: Maternal Mortality; Differences between urban and rural areas; China

scholarly journals National report 2009-2019 - Rural NEET in Poland

2020 ◽  
Keyword(s):  
Labour Market ◽  
Rural Areas ◽  
Urban Areas ◽  
Labour Force ◽  
Population Data ◽  
Economic Transformation ◽  
Labour Market Situation ◽  
The Past ◽  
Market Situation ◽  
The Difference

The report outlines the evolution of the labour market situation of young people in Poland between 2009 and 2019. Particular attention was paid to describe how the situation has changed across different age subgroups and degree of urbanization. The analysis includes descriptive statistics of the selected labour market indicators (employment and unem-ployment rate, NEET rate) along with educational and population data extracted from the Eurostat public datasets. The report shows that youth population in Poland has been declining over the past decade, especially in cities and rural areas. Labour market situation of young Poles worsened in the aftermath of financial and economic crisis. Since 2013 is has improved considerably. In 2019,the unemployment rate was below the pre-recession level and the lowest since the political and economic transformation. The pattern of labour market situation evolution was similar across all age subgroups and degrees of urbanisation, although those from the younger sub-groups were more vulnerable to economic fluctuations. In 2019, the difference between rural and urban areas in the unemployment level was minor. The employment rate and the NEET rate, however, was clearly higher in cities which suggests that many of those living in towns and rural areas remain outside the labour force. The level of school dropouts among youth is one of the lowest in the EU and has been relatively stable over the past decade. It is slightly higher in towns and rural areas than in cities, but the difference is not significant.

scholarly journals Visit to the Emergency Room: A Time Analysis of 119 Ambulances, Private Cars, and Taxis

2021 ◽  
Vol 35 (5) ◽  
pp. 81-88
Author(s):  
Kyunghee Kang
Keyword(s):  
Emergency Room ◽  
Rural Areas ◽  
Urban Areas ◽  
Panel Study ◽  
Social Characteristics ◽  
Annual Data ◽  
Transportation Time ◽  
The Difference ◽  
Urban And Rural Areas

This study analyzed the transportation time of 119 ambulances, private cars, and taxis to arrive at the emergency room, and estimated the factors influencing the time using individual and household characteristics and emergency statistics from the 2018 annual data of the Korea Health Panel Study (Version 1.7). Out of 2,032 cases that were analyzed, 427 cases (21.0%) were brought by 119 ambulances; 1,276 (62.8%) by private cars; and 329 cases (16.2%) by taxis. On average, the 119 ambulances took 23.14 minutes, private cars took 25.06 minutes, and taxis took 19.01 minutes to reach the emergency room. The overall average was 23.68 minutes. Moreover, the difference between urban and rural areas was a statistically significant factor influencing the time for all three methods of transport. It took approximately 7-10 minutes longer in rural areas than in urban areas. In addition, the lower the income, the longer it took in the case of private cars. If the transportation time for ambulance services is efficiently managed in terms of economic and social characteristics or regional factors, the quality of the ambulance service is expected to improve significantly.

scholarly journals Different Patterns in Ranking of Risk Factors for the Onset Age of Acute Myocardial Infarction between Urban and Rural Areas in Eastern Taiwan

2021 ◽  
Vol 18 (11) ◽  
pp. 5558
Author(s):  
Hsiu-Ju Huang ◽  
Chih-Wei Lee ◽  
Tse-Hsi Li ◽  
Tsung-Cheng Hsieh
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Rural Areas ◽  
Urban Areas ◽  
Cross Sectional Study ◽  
Onset Age ◽  
Cross Sectional ◽  
The Difference ◽  
Urban And Rural Areas

This cross-sectional study aimed to investigate the difference in ranking of risk factors of onset age of acute myocardial infarction (AMI) between urban and rural areas in Eastern Taiwan. Data from 2013 initial onset of AMI patients living in the urban areas (n = 1060) and rural areas (n = 953) from January 2000 to December 2015, including onset age, and conventional risk factors including sex, smoking, diabetes, hypertension, dyslipidemia, and body mass index (BMI). The results of multiple linear regressions analysis showed smoking, obesity, and dyslipidemia were early-onset reversible risk factors of AMI in both areas. The ranking of impacts of them on the age from high to low was obesity (β = −6.7), smoking (β = −6.1), and dyslipidemia (β = −4.8) in the urban areas, while it was smoking (β = −8.5), obesity (β= −7.8), and dyslipidemia (β = −5.1) in the rural areas. Furthermore, the average onset ages for the patients who smoke, are obese, and have dyslipidemia simultaneously was significantly earlier than for patients with none of these comorbidities in both urban (13.6 years) and rural (14.9 years) areas. The findings of this study suggest that the different prevention strategies for AMI should be implemented in urban and rural areas.

scholarly journals SANITASI DAN AIR MINUM DI DAERAH PERKOTAAN DAN PEDESAAN DI PROVINSI BENGKULU (ANALISIS DATA POTENSI DESA 2018)

2020 ◽  
Vol 18 (3) ◽  
pp. 159-170
Author(s):  
Tri Noviyanti Nurzanah ◽  
Zakianis Zakianis ◽  
Bambang Wispriyono ◽  
Athena Anwar
Keyword(s):  
Drinking Water ◽  
Rural Areas ◽  
Urban Areas ◽  
Water Source ◽  
Natural Soil ◽  
Clean Water ◽  
Sanitation Services ◽  
The Difference ◽  
Urban And Rural Areas ◽  
Dug Well

ABSTRACT   Bengkulu Province is the fourth-lowest province in Indonesia for sanitation facilities and drinking water availability. The difference in socioeconomic conditions and very low access to sanitation in Bengkulu Province poses a major challenge to ensuring water and sanitation services for all, so as to attempt to control a large number of infectious diseases. The purpose of this study was to determine the description of sanitation and drinking water between urban and rural areas in Bengkulu Province. Data analyzed were Village Potential data (PODES) in 2018 and the sample were 148 villages. Research results show that sanitation facilities and the availability of clean water in urban areas are better than in rural areas. In rural areas the majority of sewage is unsanitary or without latrines/open defecation, garbage disposal is carried out by dumping it into the pit of natural soil or being burnt, the sewage is still open, the water source is still a dug well as a source of clean water. In conclusion, there are still gaps in terms of access to sanitation in rural areas and urban safe drinking water. An evaluation is needed to increase community access to sanitation in rural areas and drinking water in cities.   Keywords: Saniation, drinking water, urban areas, rural areas     ABSTRAK   Provinsi Bengkulu merupakan salah satu provinsi dengan sarana sanitasi dan ketersediaan air minum ke empat terendah di Indonesia. Perbedaan kondisi sosial ekonomi dan akses sanitasi yang sangat rendah di Provinsi Bengkulu menimbulkan tantangan besar untuk memastikan layanan air dan sanitasi bagi semua, sehingga membantu mengendalikan sejumlah besar penyakit menular. Tujuan penelitian ini adalah untuk mengetahui gambaran sanitasi dan air minum antara wilayah perkotaan dan perdesaan di Provinsi Bengkulu. Data yang dianalisis adalah data Potensi Desa (PODES) tahun 2018 dengan unit analisis desa. Jumlah sampel sebesar 148 desa di daerah perkotaan dan perdesaan di Provinsi Bengkulu. Hasil analisis menunjukkan bahwa sarana sanitasi dan ketersediaan air bersih di wilayah perkotaan lebih baik daripada di wilayah perdesaan.  Di wilayah perdesaan mayoritas pembuangan tinja tidak saniter atau tanpa jamban/buang air besar sembarangan, pembuangan sampah dilakukan sdengan membuang ke dalam lubang tanah atau dibakar, saluran pembuangan air limbah masih terbuka, dan sumber air adalah  sumur gali sebagai sumber air bersih. Dapat disimpulkan bahwa masih terdapat kesenjangan dalam hal akses sanitasi dan air minum antara di perdesaan dan  perkotaan. Perlu adanya evaluasi peningkatan akses masyarakat terhadap sanitasi di pedesaan dan air minum di perkotaan.   Kata kunci: Sanitasi, air minum, perkotaan, pedesaan

Crash Hazard Comparison between Rural and Urban Road Segments Based on GIS and Logistic Regression Technology

2012 ◽  
Vol 178-181 ◽  
pp. 1635-1640
Author(s):  
Bin Wang ◽  
Xue Dong Yan ◽  
Mei Wu An ◽  
Cui Ping Zhang ◽  
Lu Ma
Keyword(s):  
Logistic Regression ◽  
Traffic Safety ◽  
Rural Areas ◽  
Urban Areas ◽  
Hazard Index ◽  
Visual Display ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
The Difference ◽  
Urban And Rural Areas

Traffic safety in rural and urban areas is a serious public issue worldwide. In this paper, the weighted hazard index (WHI) was adopted to describe risk distributions in rural and urban areas. At the beginning, the WHI analysis results were shown in the GIS-based maps and the visual display of the hazardous segments was illustrated by ArcGIS software, which would help policymakers to assume more targeted improvement measures. Then logistic regression is introduced to assess the difference of incidence of total crashes and incidence of the fatal/injure crashes between urban and rural areas. Based on the estimation results of logistic regression analysis, the ADT (average daily traffic) and length of segments have more evident impact on the two risk factors, namely the incidence of total crashes and incidence of fatal/injure crashes. Furthermore, the differences between rural and urban areas are obvious in total crashes and fatal/injure crashes and more specifically they are all lower in rural areas with other attributes being fixed.

scholarly journals The rationality of PM2.5 monitoring sites’ locations based on exposure level across eastern China

2021 ◽  
Author(s):  
Chang Yan ◽  
Guangming Shi ◽  
Fumo Yang
Keyword(s):  
Urban Areas ◽  
Population Distribution ◽  
Eastern China ◽  
Population Exposure ◽  
Exposure Level ◽  
Site Location ◽  
Spatial Coverage ◽  
Exposure Levels ◽  
Pm2.5 Concentration ◽  
Monitoring Stations

Abstract Due to the heterogeneity of PM2.5 and population distribution, the representativeness of existing monitoring sites is questionable when the monitored data were used to assess the population exposure. By comparing the PM2.5 concentration from a satellite-based dataset named the China High Air Pollutants (CHAP), population and exposure level in urban areas with monitoring stations (UWS) and without monitoring stations (UNS), we discussed the rationality of the current spatial coverage of monitoring stations in eastern China. Through an analysis of air pollution in all urban areas of 256 prefectural-level municipalities in eastern China, we found that the average PM2.5 concentration in UNS in 2015 and 2018 were 52.26 μg/m3 and 41.32 μg/m3, respectively, which were slightly lower than that in UWS (52.98 μg/m3 and 41.48 μg/m3). About 12.1% of the prefectural-level municipalities had higher exposure levels in certain UNS than those in UWS. With the faster growth of UNS population, the gap between exposure levels of UNS and UWS were narrowing. Hence, currently prevalent administration-based principle of site location selection might have higher risk of missing the non-capital urban areas with relatively higher PM2.5 exposure level in the future.

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