scholarly journals Effectiveness of Government Policies in Controlling COVID-19 in India

2020 ◽  
Author(s):  
ASHUTOSH PANDEY ◽  
Nitin Saxena
Keyword(s):  
Population Density ◽  
Rural Areas ◽  
Rural Population ◽  
Urban Areas ◽  
Urban Population ◽  
Demographic Factors ◽  
Government Policies ◽  
Cumulative Number ◽  
Indian States ◽  
The People

<p>The purpose of this study is to find the demographic factors which are responsible for the spread of COVID-19 and to suggest a measure to identify the effectiveness of government policies in controlling COVID-19. The study hypothesises that the cumulative number of confirmed COVID-19 patients depends on the urban population, rural population, number of persons aged more than fifty, the population density and poverty rate in the state. A log-linear model is used to test the stated hypothesis, with the cumulative number of confirmed COVID-19 patients up to period as a dependent variable and demographic factors as an independent variable. The regression result shows that out of the selected variables, only the urban population significantly impacts the total number of patients tested positive for COVID-19. Our study finds that the urban population significantly impacts the spread of COVID-19. On the other had the demographic factors like rural population, density, and age structure do not impact the spread of COVID-19 significantly. Thus the people residing in the urban areas face a more significant threat of COVID-19 as compared to the people in rural areas. The study identifies the Indian states which need greater effectiveness in the implementation of pandemic control policies. Our study finds that the urban population significantly impacts the spread of COVID-19. On the other had the demographic factors like rural population, density, and age structure do not impact the spread of COVID-19 significantly. Thus the people residing in the urban areas face a more significant threat of COVID-19 as compared to the people in rural areas. The study identifies the Indian states which need greater effectiveness in the implementation of pandemic control policies.</p>

scholarly journals Effectiveness of Government Policies in Controlling COVID-19 in India

2020 ◽  
Author(s):  
ASHUTOSH PANDEY ◽  
Nitin Saxena
Keyword(s):  
Population Density ◽  
Rural Areas ◽  
Rural Population ◽  
Urban Areas ◽  
Urban Population ◽  
Demographic Factors ◽  
Government Policies ◽  
Cumulative Number ◽  
Indian States ◽  
The People

<p>The purpose of this study is to find the demographic factors which are responsible for the spread of COVID-19 and to suggest a measure to identify the effectiveness of government policies in controlling COVID-19. The study hypothesises that the cumulative number of confirmed COVID-19 patients depends on the urban population, rural population, number of persons aged more than fifty, the population density and poverty rate in the state. A log-linear model is used to test the stated hypothesis, with the cumulative number of confirmed COVID-19 patients up to period as a dependent variable and demographic factors as an independent variable. The regression result shows that out of the selected variables, only the urban population significantly impacts the total number of patients tested positive for COVID-19. Our study finds that the urban population significantly impacts the spread of COVID-19. On the other had the demographic factors like rural population, density, and age structure do not impact the spread of COVID-19 significantly. Thus the people residing in the urban areas face a more significant threat of COVID-19 as compared to the people in rural areas. The study identifies the Indian states which need greater effectiveness in the implementation of pandemic control policies. Our study finds that the urban population significantly impacts the spread of COVID-19. On the other had the demographic factors like rural population, density, and age structure do not impact the spread of COVID-19 significantly. Thus the people residing in the urban areas face a more significant threat of COVID-19 as compared to the people in rural areas. The study identifies the Indian states which need greater effectiveness in the implementation of pandemic control policies.</p>

scholarly journals Effectiveness of Government Policies in Controlling COVID-19 in India

2020 ◽  
pp. 002073142098374
Author(s):  
Ashutosh Pandey ◽  
Nitin Kishore Saxena
Keyword(s):  
Population Density ◽  
Rural Areas ◽  
Rural Population ◽  
Urban Areas ◽  
Urban Population ◽  
Demographic Factors ◽  
Poverty Rate ◽  
Government Policies ◽  
Cumulative Number ◽  
Population Number

The purpose of this study is to find the demographic factors associated with the spread of COVID-19 and to suggest a measure for identifying the effectiveness of government policies in controlling COVID-19. The study hypothesizes that the cumulative number of confirmed COVID-19 patients depends on the urban population, rural population, number of persons older than 50, population density, and poverty rate. A log-linear model is used to test the stated hypothesis, with the cumulative number of confirmed COVID-19 patients up to period [Formula: see text] as a dependent variable and demographic factors as an independent variable. The policy effectiveness indicator is calculated by taking the difference of the COVID rank of the [Formula: see text]th state based on the predicted model and the actual COVID rank of the [Formula: see text]th state[Formula: see text]Our study finds that the urban population significantly impacts the spread of COVID-19. On the other hand, demographic factors such as rural population, density, and age structure do not impact the spread of COVID-19 significantly. Thus, people residing in urban areas face a significant threat of COVID-19 as compared to people in rural areas.

scholarly journals Prevalence and socio-demographic factors associated with hypertension among rural and urban population of Kisii County, Kenya

2021 ◽  
Author(s):  
Alex O. Ondieki ◽  
Harun M. Kimani ◽  
Titus M. Kahiga
Keyword(s):  
Rural Areas ◽  
Rural Population ◽  
Urban Areas ◽  
Demographic Factors ◽  
Sampling Technique ◽  
Cross Sectional Study ◽  
Epidemiologic Transition ◽  
Cross Sectional ◽  
Rural And Urban ◽  
Socio Demographic Factors

Background: Hypertension (HTN) is a major cause of morbidity and mortality worldwide. 9.4 out of the 20 million cardiovascular deaths are due to HTN. HTN has often been described to be more prevalent in urban areas. However, there has been an epidemiologic transition from urban to rural areas which often go unreported or underreported. This gap therefore called for a study to compare the prevalence of HTN burden and assess how socio-demographic factors contribute to HTN development among the rural and urban population.Methods: This study methodology focused on HTN among residents aged 30-69 years, from urban and rural population of Nyaribari Chache sub county, Kisii County, Kenya using a descriptive cross sectional study in which 490 respondents were interviewed. Sampling involved a random sampling technique which entailed household selection. Data was analysed using statistical package for social scientists (SPSS) version 21.Results: The prevalence of HTN for the sampled population was 44.668%. The prevalence of HTN was 44.134% in rural and 43.598% in urban areas. Rural population were more at risk of developing HTN than urban (OR=1.135 and RR=1.072). On general health, those who had ever been told that they had hypertension (p<0.000), ever been told that they had hypertension for the past 12 months (p=0.000) and those who were currently taking hypertension medication (p=0.026) were statistically significant variables.Conclusions: The study concludes that residents in rural population have higher prevalence of hypertension. Further, female respondents, those who are currently married, completed primary school education and were self-employed reported to have a higher prevalence of hypertension.

METHODICAL APPROACHES TO DISTINGUISHING AND IDENTIFYING RURAL AREAS (IN THE CONTEXT OF THE IMPLEMENTATION OF EUROPEAN EXPERIENCE)

2020 ◽  
Vol 2020 (11) ◽  
pp. 41-59
Author(s):  
Iryna STORONYANSKA ◽  
◽  
Ivan ZALUTSKYY ◽  
Keyword(s):  
Population Density ◽  
Rural Areas ◽  
Rural Population ◽  
Urban Population ◽  
Legal Norms ◽  
European Experience ◽  
Administrative Unit ◽  
Territorial Structure ◽  
Administrative Units ◽  
Definition Of

Emphasis is placed on the absence in the legislation of Ukraine of legal norms on methodological and legal criteria for identification of rural areas at certain hierarchical levels of administrative-territorial structure of Ukraine, specificity, consistency, predictability and effectiveness of state policy of rural development. From the standpoint of implementation in Ukraine of modern European tools for distinguishing rural areas, a variant of the legal definition of the term “rural area” is proposed, which specifies the criteria for identifying rural areas, in particular: • at the level of the local administrative unit (LAU): the population density is usually less than 300 people per 1 km2; the share of the urban population of the local administrative unit does not exceed 50% (rural population is more than 50%), except for the local administrative unit, which is a zone of connection (influence) of the city with a population of at least 50 thousand people, employing at least 15% inhabitants of a local administrative unit; • at the subregional (district) level (NUTS-3): population density is usually less than 300 inhabitants per 1 km2; the share of the urban population of the district is less than 50% (at least 50% rural population), if the district does not include a city with more than 200 thousand inhabitants, or at least 25% of the total population of the district. Taking into account the existing significant obstacles to the methodological implementation of European tools for rural identification, the classification of territories of administrative districts of Ukraine is substantiated and tested as small regions of NUTS-3 level and analogues of local administrative units according to available statistics, with the distinction of mostly urban, intermediate and mostly rural areas, in particular, the latter according to pro-European criteria.

scholarly journals Družbene vezi, solidarnost, različnost in družbena vključenost: primerjava ruralnih in urbanih skupnosti v Sloveniji

2020 ◽  
Author(s):  
Aleš Bučar Ručman ◽  
Keyword(s):  
Interpersonal Relationships ◽  
Rural Areas ◽  
Urban Areas ◽  
Urban Population ◽  
Secondary Analysis ◽  
Security Threat ◽  
Communal Life ◽  
Suburban Communities ◽  
The People ◽  
Urban Population Growth

The urban population represents the smallest share of the people in Slovenia, as most of them live in rural areas. Despite the migration of people from rural to urban areas, which increased in the period after the Second World War, Slovenia did not develop large urban centres as Western countries. Slovenia followed the idea of polycentric development with moderate urban population growth in smaller urban centres. The primary purpose of this text is to present the essential characteristics of rural, urban and suburban communities in Slovenia and understanding of solidarity and communal life of diverse social groups? The author uses a literature review and a secondary analysis of already collected data in two surveys (Safety in Local Communities, 2017; Slovenian Public Opinion 2016/1) to present the characteristics. With the help of these research data, the author explains the structure of the population in urban, suburban and rural areas (education, employment, religion, ethnicity), and further analyses interpersonal relationships, connections, mutual assistance, acceptance of diversity and perceptions of security/threat.

Integrated Assessment of Socio-Economic Development of Rural Areas, Taking into Account Differences in Population Density

2020 ◽  
pp. 76-83
Author(s):  
N.N. Balashova ◽  
◽  
D.A. Korobeynikov ◽  
S.A. Popova ◽  
◽  
...  
Keyword(s):  
Sustainable Development ◽  
Economic Development ◽  
Population Density ◽  
Rural Areas ◽  
Rural Population ◽  
Integrated Assessment ◽  
Russian Regions ◽  
Socio Economic Development

Typologization of rural areas, taking into account differences in population density and level of socio-economic development, is necessary to identify “growth points” and strategic sustainability benchmarks. The method of integrated assessment of the level of socio-economic development of rural territories is proposed, according to which the grouping of Russian regions is carried out. Applying data on rural population density to the results of calculations allowed us to identify 12 typological groups, in the context of which unified recommendations on sustainable development of territories should be formed.

MO759COMPERATIVE STUDY OF THE CARDIOVASCULAR SYSTEM IN PATIENTS WITH CKD ON HEMODIALYSIS IN URBAN AND RURAL POPULATIONS OF UZBEKISTAN

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Olimkhon Sharapov ◽  
Botir Daminov
Keyword(s):  
Heart Failure ◽  
Rural Areas ◽  
Rural Population ◽  
Urban Population ◽  
Medical Center ◽  
Women Patients ◽  
Urban Group ◽  
Rural And Urban ◽  
Ckd Stage ◽  
Rural Group

Abstract Background and Aims According to recently published WHO data, kidney disease has been the 10th leading cause of death in the world over the past 20 years. The lethality of dialysis patients with cardiovascular pathology is 3 times higher than that of patients without CVD. This is especially pronounced in developing countries. Uzbekistan is a country with a population of 34 million and has an equal urban and rural population. In this regard, it is of interest to comparatively study the structure of CVD in patients with CKD stage 5D of the rural and urban population of Uzbekistan. Method We examined 165 (90 men and 75 women) patients with CKD stage 5 receiving dialysis in urban and rural areas of Uzbekistan. The patients were divided into 2 groups depending on their permanent place of residence and the medical center where they receive hemodialysis. 104 (51 men and 53 women) patients were included in the Urban group and 61 (39 men and 22 women) patients were included in the Rural group. The average age of the urban population was 49.7 ± 1.38 years, the rural population was 45.5 ± 1.83 years. All patients underwent programmed hemodialysis according to the standard scheme for 4 hours 3 times a day (12 hours/week). The average duration of hemodialysis in the Urban group was 37.0 ± 4.77 months (M ± m) and 16.6 ± 2.4 months in the Rural group. The main causes of CKD 5D in both groups were glomerulonephritis (Urban-36.5%, Rural-62%) and type 2 diabetes (Urban-31.7%, Rural-18%). Results CVD comorbidity occurred in 55,8% (n=92) of all 165 examined patients, of which 52 were men and 40 were women. The most common CVDs in all groups were hypertension (51%, n=84), coronary heart disease, presented as angina (28%, n=47), heart failure (14%, n=23) and various types of arrhythmias (5%, n=8). 77% (n=127) of patients had anemia due ESRD. In the group Urban(n=104), 62.5% (n=65) had CVD. The main CVD was Hypertension. It was found in 92% (n=60) of patients with CVD in this group. Less (65%, n=42) were patients with angina. Heart failure was detected in 31% (n=20) of patients. Arrhythmia was diagnosed in only 5% (n=5). A large number of combined CVD have been identified. 69% (n=45) of all patients with CVD had a combined CVDs in different combinations. The most common combination was hypertension + angina (n = 26). It accounted for almost 58% of all combined cases. Only 28% (n=17) of all cases with hypertension had "isolated" hypertension. The main combination with hypertension was hypertension + angina (43%, n=26), 11% (n=11) of patients had hypertension + angina + heart failure, a combination in the form of hypertension + angina + arrhythmia had 3% (n=3) patients. Relatively fewer (n = 27, 44%) CVD were found in the Rural group. The most frequent CVD was also a hypertension. Patients with hypertension made up 89% (n = 24) of all patients with CVD in this group. The second place is occupied by angina, it was found in 18.5% (n=5) cases among patients with CVD. Combined CVS pathologies were less common in the rural group. A total of 8 patients (29.6% of all CVD cases) had several CVDs. Conclusion Сardiovascular diseases in the urban population (62.5%) occur almost one and a half times more often than in the rural population (44%). Combined CVD pathology occupies a leading place in the structure of CVD in patients with CKD 5D, both urban and rural.

scholarly journals The Effects of China’s “Belt and Road Initiative” and “31 Measures to Benefit Taiwan” on the Development of Taiwanese Enterprises

2018 ◽  
Vol 11 (12) ◽  
pp. 53
Author(s):  
Hsiung-Shen Jung ◽  
Jui-Lung Chen
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Labor Cost ◽  
Chinese Government ◽  
Rapid Economic Growth ◽  
The People ◽  
Belt And Road ◽  
Reform And Opening Up ◽  
The Belt And Road ◽  
Opening Up

China has achieved rapid economic growth and become involved in the economic globalization through its policy of reform and opening-up and modernization. It has attracted much investment from lots of Taiwanese enterprises, including some small and medium-sized enterprises featuring a high labor cost and facing difficult operation in the traditional industries. Thanks to the policy, many Taiwanese enterprises have got a chance to rebirth by transforming their crises into opportunities. With the implementation of the policy of urbanization, the people from rural areas in China have been moving to urban areas, and the enterprises of the second and third industries have been concentrating in cities. This has not only fueled the livelihood-oriented consumption in China but also expanded the domestic demand market of the Taiwanese medium and large-sized livelihood enterprises in China. The Belt and Road trade foundation construction program, which aims to link Europe, Asia and Africa and was proposed in 2013, is an extension of the Great Development of Western Part of China and offers Taiwanese enterprises a chance to get fully involved in the development of the international market. The 31 Measures to Benefit Taiwan announced by the Chinese government in February 2018 has significant influence on the future development of the Taiwanese enterprises in China. Therefore, this paper will elaborate on the effects of the Belt and Road and the 31 Measures to Benefit Taiwan on the Taiwanese enterprises.

scholarly journals PREVALENCE AND COMPARATIVE STUDY OF MALNOURISHED CHILD BELOW 5 YEARS OF RURAL AND URBAN AREAS OF BIHAR

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Rajiv Kumar Jha ◽  
Sanjay Kumar
Keyword(s):  
Nutritional Status ◽  
Breast Feeding ◽  
Rural Areas ◽  
Rural Population ◽  
Urban Areas ◽  
Feeding Practices ◽  
Bottle Feeding ◽  
Age Group ◽  
Rural And Urban Areas ◽  
Rural And Urban

Status of nutrition reflects the status of health of a country. Infant and young child feeding practices are multidimensional and age specific. Inappropriate feeding practices and their consequences are major obstacles to sustainable socioeconomic development and poverty reduction. This study was a step to sort out various prevailing feeding practices and awareness status of the family of child in rural and urban areas of Bihar state among the age group of below 5 Years and their outcome. This study was a hospital based descriptive study carried out in PMCH (OPD and Indoor) Patna Bihar. Total number of participants in our study is 180 in the age group 0-5 years which was further divided into 3 groups according to their age each group (0-6, 6-24, and24-60months), had 60 participants. These groups were further equally divided on the basis of location rural and urban; these Subgroups were further divided into 2 equal subgroups according to sex. In this study variety of food given is 63% and 50% in urban and rural population respectively. It is revealed that population getting variety of food has significantly better outcome in nutritional status rather than population not getting it. This study has revealed that population getting nearly proper consistency and calories are only 53% and 41% in urban and rural areas respectively. Population getting nearly proper consistency and calories has significantly better outcome in nutritional status rather than population not getting it. Prevalent mode of feeding in children below 6 months in non exclusive BREAST feeding is bottle feeding in rural and urban areas. 42% and 50% of urban and rural population BOTTLE feed their children above 6 months respectively bottle feeding significantly affect the outcome i.e. the poor nutritional status as compared to the KATORI spoon feeding. Keywords: Healthy food, varieties of nutritional food intake, Breast feeding practices.

scholarly journals Like Mother, like Son: Physical Activity, Commuting, and Associated Demographic Factors

2020 ◽  
Vol 12 (14) ◽  
pp. 5631 ◽  
Author(s):  
Caroline Brand ◽  
Cézane Priscila Reuter ◽  
Arieli Fernandes Dias ◽  
Jorge Mota ◽  
Michael Duncan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Rural Areas ◽  
Urban Areas ◽  
Skin Color ◽  
Demographic Factors ◽  
Active Commuting ◽  
Cross Sectional ◽  
The Relationship ◽  
Living Area

A mother’s healthy conduct may lead to the healthy conduct of their children. Thus, this study aimed to verify the role of demographic factors in the relationship between mothers’ physical activity (PA) and commuting to work with children and adolescent’s PA and commuting to school. This cross-sectional study comprised 1421 children and adolescents aged 6 to 17 years and 1421 mothers, from Brazil. PA, commuting, socioeconomic status (SES), skin color/ethnicity, and living area were evaluated by questionnaire. Logistic binary regression models were used. Results indicated that mothers’ PA and commuting were associated with children and adolescent’s PA and commuting to school in crude and adjusted models. Considering the role of the demographic factors, an association was only observed for girls in the relationship between mother’s PA with children’s PA. In adolescents, an association was observed in both high/low SES, boys/girls, and rural/urban areas. Regarding children and adolescent active commuting to school, there was an association with mothers commuting. All demographic factors were strongly associated, except for rural areas. Therefore, mothers’ PA as well as commuting to work are associated with children and adolescent’s PA and commuting to school. Sex, living area, and SES are the related demographic factors.

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