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Objective: To understand the influence of junior middle school students' health literacy on knowledge, belief and behavior of COVID-19 in rural areas of Jiangxi Province, and to enhance junior middle school students' ability to deal with public health emergencies. Methods: Stratified cluster random sampling was used to investigate the health literacy, knowledge level and behavior of COVID-19 protection of 4 311 grade 7 to grade 8 students in rural areas of Jiangxi Province;Chi-square test and Logistic regression analysis were used to analyze the correlation between junior high school students' health literacy and COVID-19 protection knowledge, belief and behavior. Results: The rate of health literacy of junior middle school students in rural areas was 18.21%(n=785), the reported rate of intermediate level was high (n=2 454, 56.92%), and the reported rate of junior high school students at a low level of health literacy was 24.87%(n=1 072). The rate of junior middle school students in rural areas with good COVID-19 protection knowledge was 63.49%, the rate of positive protection attitude was 74.25%, and the rate of good protection behavior was 85.36%;Rate of COVID-19 protection knowledge (OR=4.85, 95%CI=3.80-6.18) and positive rate of protection attitude of high-level health literacy (OR=44.07, 95%CI=24.57-79.05), protective behavior possession rate (OR=25.99, 95%CI=19.67-34.35) were higher than those with low level of health literacy(P < 0.01). Conclusion: Health literacy is associated with COVID-19 protection knowledge, belief and behavior in rural junior high school students of Jiangxi Province, the findings provide direction for junior middle school students to improve their ability to deal with public health emergencies.
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On the verge of the expiry of land contracts, it is theoretically and practically important to explore the willingness and motivations of farmers to stabilize the land contract relationship, with regards to protecting their land contract rights, addressing potential contradictions during the land contract extension, and maintaining the stability of contracted land. Using China Land Economic Survey Data in 2020, this paper explores the impact of differences in areas per capita of household contracted land on farmers' willingness to stabilize land contract relationship. The findings show that most farmers support the stability of land contract relationship;the smaller areas per capita of contracted land are occupied by households than the average in the village, the weaker of the farmers' willingness to stabilize the land contract relationship. The difference between the areas per capita of contracted land ownership of a household and the average in the village has a greater impact on the willingness to stabilize land contract relationship for middle-and low-income farmers, while the development of land transfer market does not increased the willingness. Affected by the COVID-19 pandemic, the land plays a more important role of employment security, which reduces farmers' willingness to stabilize the land contract relationship. Furthermore, the promotion of socialized agricultural service has also mitigated the willingness of farmers o stabilize the land contract relationship.
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The COVID-19 pandemic has challenged many of the healthcare systems around the world. Many patients who have been hospitalized due to this disease develop lung damage. In low and middle-income countries, people living in rural and remote areas have very limited access to adequate health care. Ultrasound is a safe, portable and accessible alternative;however, it has limitations such as being operator-dependent and requiring a trained professional. The use of lung ultrasound volume sweep imaging is a potential solution for this lack of physicians. In order to support this protocol, image processing together with machine learning is a potential methodology for an automatic lung damage screening system. In this paper we present an automatic detection of lung ultrasound artifacts using a Deep Neural Network, identifying clinical relevant artifacts such as pleural and A-lines contained in the ultrasound examination taken as part of the clinical screening in patients with suspected lung damage. The model achieved encouraging preliminary results such as sensitivity of 94%, specificity of 81%, and accuracy of 89% to identify the presence of A-lines. Finally, the present study could result in an alternative solution for an operator-independent lung damage screening in rural areas, leading to the integration of AI-based technology as a complementary tool for healthcare professionals. © 2023 SPIE.
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PurposeFood festivals are prevalent for those passionate about food experience globally. More importantly, feedback from food reviewers on mass media platforms has been becoming a critical factor in facilitating the decision-making process of tourists in particular cities. Moreover, stimulating local tourism activities, thanks to food festivals, prove advantageous to the well-being of local habitants. The purpose of this paper is to provide readers with a general overview of food festival research trends in tourist cities, as tourism has the potential to contribute to targets in Goals 8, 12 and 14 on sustainable consumption and production and the sustainable use of resources, respectively, (UNWTO: World Tourism Organization).Design/methodology/approachThis study searched and filtered documents from the Scopus and Web of Science databases, as well as used bibliometric analysis and other mathematical and statistical methods, to better understand the food festival research context between 1970 and 2021. The carriers with mathematical and statistical methods. VOSviewer algorithm was used to identify critical input for visualizing bibliometric networks and to create a framework for this academic food festival research.FindingsThe findings are primarily related to pre and post-COVID-19 research on food festivals worldwide. Furthermore, using an inductive approach, this paper reveals the impact of food festivals in cities and tourist behaviors. According to the findings, the food festival research trends are about "food festivals,” "slow food festivals” and "local food festivals.” Factor analysis is one of the most common analyses in this type of research. Other studies could use the findings and limitations to select appropriate themes and analysis approaches for their research topics.Research limitations/implicationsResearch data sets are mainly from articles that may not account for all actual trends during this pandemic.Originality/valueThis review expects to provide insights into food festivals and help future researchers to recognize several research gaps such as the lack of research on food festival manufacturers and producers or the consistency in visitors' aspect research of quality service, visitors' loyal intentions, satisfaction and culinary experience. The tourism industry can find research trends of food festivals and issues following COVID-19 to find their management styles to fit the context of the post-COVID-19 pandemic, facilitating organizing a safe and effective food festival.
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Introduction : Understanding the epidemiological and clinical profile of COVID-19 cases and pattern of disease is very much required for future preparedness. Objective : To assess the epidemiological and clinical profile of cases of COVID 19 Method : Cross sectional descriptive study was carried out at a Rural Health Training Centre (RHTC). All cases reported in the month of January 2022were included in the study. The information about the epidemiological and clinical profile was collected from RHTC records by conducting telephonic interview. Results : Total 83 cases were reported. Among them, 43 (54.4%) cases were in age group 20-39 years. Male: Female ratiowas 1.37:1. Therewas one death and patient had ovarian cancer as co-morbidity. Total 71 patients could be contacted for telephonic interview. Fever was most common symptom andwas presenting symptom on first day followed by cough/cold and sore throat. None had shortness of breath or chest pain. Hospitalization rate was 5.63% and none required oxygen supplementation or intensive care. Recovery period was 3-5 days. Out of total, 90% cases were fully vaccinated and 95.8% had knowledge of CAB. Diabetes and hypertension were most common comorbidities andwere statistically significantlymore in age > 40 years. Conclusions : The COVID-19 cases in the beginning of year 2022 had clinical presentation different than the earlier waves. Periodic situational analysis can guide in policymaking for handling this pandemic in future.
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Objective: Coronaviruses are a large family of viruses that cause different types of diseases. This study aims to evaluate the risk factors for mortality based on comorbidity and sociodemographic characteristics among COVID-19 patients. Methods: This cross-sectional study conducted in Herat, Afghanistan, from February 24 to July 5, 2020, used data provided by the public health department, including sociodemographics, symptoms, comorbidities, hospitalization, contact history, and COVID-19 test type. The Chi-square test was used to observe differences between categorical variables. In bivariate analysis, all independent variables with a significant p-value were put into the model. Odds ratios and 95% confidence intervals were calculated, and a p-value less than 0.05 was considered statistically significant. Results: The study analyzed 11,183 COVID-19 cases, with a 53.5% positivity rate. Recovery rates in the city and Herat province districts were 96.2% and 94.7%, respectively. Case-fatality rates varied with age, with 0.4% for those aged 1-29 and 33% for those aged 80-105. Mortality rates were highest for those with COPD and cancer, at 12.5% and 18.2%, respectively. In the logistic regression results, age, gender, and COPD were significant variables for COVID-19 mortality. Conclusion: By providing more health service facilities to people in risk groups, especially in rural areas, the mortality rate of COVID-19 and other diseases can be decreased.
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The current physiognomy and problems of rural and urban territories in Spain are directly related to the demographic processes linked to the rural exodus of the 1960s. In the year 2020, a new problem and/or conditioning factor arose, COVID-19, which has modified dynamics, routines, and aspects of the daily life of the population. The objectives of this research are to check whether there are differences in the effect of COVID-19 between urban and rural municipalities and, in turn, to analyse the demographic dynamics of the population between 2020 and 2022, as well as territorial distribution patterns. To this end, population data were extracted from the Population Register and Residential Variation data for the period 2010 and 2022 and demographic and statistical calculations (Student's t-test and Pearson's correlation) were carried out. Among the main results, it is observed that COVID-19 has less of an effect in Spanish rural areas. Moreover, these areas show a positive demographic trend for the period 2020-2022. Population growth has had a direct influence on the improvement of demographic data, although with differences according to autonomous communities. This fact represents a break in the trend in rural areas, but is beginning to show signs of exhaustion and a return to the pre-pandemic trend.
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Until recent decades, labour-intensive subsistence farming was a way of life and livelihood in the hill communities of Uttarakhand, India. However, the nature of agriculture falls far short of the expectations of the main labour force, the rural youth, leading to their mass migration to non-agricultural occupations. The large-scale youth migration has left many hill farming landscapes depopulated and farmlands abandoned. As youth have special stakes in food systems, they must be included in the sustainable transformation of food systems. By doing so, the migration-prone hill region may be transformed into a place where rural youth have more options for work and income. Therefore, the agriculture sector needs to change and develop into a more engaging and youthful workplace. There are opportunities to explore and barriers to be removed. Besides identifying priority research areas on local food systems, in this exploratory research, we investigate opportunities to involve rural young people in the transformation of the food system. We document information by conducting focus group discussion (FGD) meetings in about 100 villages in the Uttarakhand hills, representing all major farming landscapes. This study mainly focuses on improving the production and consumption aspects of local food, which not only benefits the health and wellbeing of local communities but also has many positive economic, social, and environmental effects. In addition, we explore opportunities for reviving mountain agriculture through agri-ecotourism, which is a symbiotic relationship between tourism and agriculture. Making home- or farm stays in agri-ecotourism a subsistence strategy for local youth will contribute to a more prosperous rural economy. Recognising Uttarakhand's rich culture and heritage while exploring the culinary travel opportunities in homestays will provide opportunities to focus more on traditional food systems, exposing various tangible and intangible aspects of the host region's food culture to tourists. The findings of this study will aid in identifying specific policy issues for consideration by planners and policymakers at the local and state levels. Additionally, this exploratory study will assist young, motivated researchers in conducting follow-up, in-depth investigations and producing empirical data in their specialised fields.
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The COVID-19 pandemic resulted in significant social and economic impacts throughout the world. In addition to the health consequences, the impacts on travel behavior have also been sudden and wide ranging. This study describes the drastic changes in human behavior using the analysis of highway volume data as a representation of personal activity and interaction. Same-day traffic volumes for 2019 and 2020 across Florida were analyzed to identify spatial and temporal changes in behavior resulting from the disease or fear of it and statewide directives to limit person-to-person interaction. Compared to similar days in 2019, overall statewide traffic volume dropped by 47.5%. Although decreases were evident across the state, there were also differences between rural and urban areas and between highways and arterials both in terms of the timing and extent. The data and analyses help to demonstrate the early impacts of the pandemic and may be useful for operational and strategic planning of recovery efforts and for dealing with future pandemics.
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Each student selected books during the last week of school and during the last days of the summer program, so that they had access to books when school was not in session. Since book ownership is an important motivator for reading, the students kept their books and were treated to one additional book on the last day of the program, when they took a field trip to a bookstore. Study Design Reallocating school resources required a research focus with data collection and analysis for continued approval of summer program funding. The mixed-methods design of the study included quantitative data (e.g., registration, attendance, STAR reading scores, Likert scale questions on student and parent questionnaires) and qualitative data (e.g., student focus groups, open-ended questions on student and parent questionnaires). Parents' written consent and students' assent were provided for STAR reading, focus group, and questionnaire data collection each summer.
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Social media has revolutionised human interaction globally especially on the informal front. This paper proposes that the social media facility could be ‘tamed' to help bridge the educational divide that is apparent especially in developing countries such as Zimbabwe and that was magnified by the Covid-19 pandemic. The pandemic split education provision along income lines with those from the higher income bracket accessing educational instruction virtually even during such an ‘emergency' while those from the low income group were literally on sabbatical, virtually excluded. The obtaining scenario threatens realisation of Sustainable Development Goal Number 4 by 2030 as planned by the United Nations. The particular goal is aimed at ensuring "inclusive and equitable quality education and promote life-long learning opportunities for all”. In some instances, some candidates get to the examination room so inadequately prepared that the situation can be described as de facto exclusion. In order to assist Covid-19 pandemic affected learners and to uplift education quality in low income communities, this paper recommends the provision of a tablet per class/grade that should be viewed as a learning/teaching tool. The class teacher can use the tablet to download material, show educational videos to the class, audio/video record learners for educational ends, receive educational materials from the Ministry and its partners and avail these in an interesting multimodal manner to the learners.
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Background: "Covishield" and "Covaxin" were the two vaccines which were approved for emergency use in India. As there is uncertainty regarding these vaccines, this study aimed to estimate the proportion of acceptance of vaccination against COVID-19 in West Bengal;to identify the possible barriers of vaccine acceptance prevalent among the study population and;to find out the association of acceptance of COVID-19 vaccination with the socio-demographic and other predictor variables. Methods: Oobservational study with cross sectional design was conductedon 294 participants in Muchisa, Budge Budge II and Ward No. 81 of Borough 10, Kolkata Municipal Corporation (KMC) selected by Stratified Random Sampling in 2021 using a predesigned, pretested and structured schedule. The statistical analysis was done using Microsoft Office Excel 2007 and Statistical Package for the Social Sciences Version 16.0. The data were explored using Pearson's chi-square test and logistic regression. A p-value of <0.05 was considered significant. Results: The potential acceptance of Covid-19 vaccination was 59.5% with higher adoption in urban population. The most potential barrier in acceptance of vaccine was "fear of side effects". Higher level of education and history of Covid-19 in the locality were associated with higher acceptance of the vaccination in both the urban and rural areas. Conclusion: A study emphasized on the need for mass campaigns and other behavior change communication activities for addressing the myths surrounding the disease and the newer vaccines and hence improving the currently low vaccine acceptance.
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This paper explores relationships between vaccination coverage and indicators at the level oflocal administrative units for the case of rural localities of Romania. Positive correlations have been identified in relation to fiscal capacity, coverage of the population with general practitioners, COVID‐19 incidence rate and absence of a marginalized community within the locality. Regional differences are again highlighted in the analysis. This means that there is at least partially an overlap of the disadvantaged rural areas with the ones registering low vaccination uptakes against COVID‐19. Further on, it means that these territorial areas accumulate a series of structural disadvantages that can prove to increase the discrepancies between them and other rural or large urban areas. The paper contributes to enlarging the perspective on vaccination coverage by adding both conceptual and practical insights. From the point ofview of practitioners, the results of the study can be used to tailor intervention in communities with similar characteristics, to underscore public health inequalities across territories. Points for practitioners are relevant for a wide range of stakeholders from public health, public management, and social protection fields, placed in both local and central level decision‐making positions. [ FROM AUTHOR] Copyright of NISPAcee Journal of Public Administration & Policy is the property of Sciendo and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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Healthcare is a critical field of research and equally important for all nations. Providing secure healthcare facilities to citizens is the primary concern of each nation. However, people living in remote areas do not get timely and sufficient healthcare facilities, even in developed countries. During the recent COVID-19 pandemic, many fatalities occurred due to the inaccessibility of healthcare facilities on time. Therefore, there is a need to propose a solution that may help citizens living in remote areas with proper and secure healthcare facilities without moving to other places. The revolution in ICT technologies, especially IoT, 5G, and cloud computing, has made access to healthcare facilities easy and approachable. There is a need to benefit from these technologies so that everyone can get secure healthcare facilities from anywhere. This research proposes a framework that will ensure 24/7 accessibility of healthcare facilities by anyone from anywhere, especially in rural areas with fewer healthcare facilities. In the proposed approach, the patients will receive doorstep treatment from the remote doctor in rural areas or the nearby local clinic. Healthcare resources (doctor, treatment, patient counseling, diagnosis, etc.) will be shared remotely with people far from these facilities. The proposed approach is tested using mathematical modeling and a case study, and the findings confirm that the proposed approach helps improve healthcare facilities for remote patients.
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Insights on the indirect effects of the COVID-19 pandemic are critical for designing and implementing policies to alleviate the food security burden it may have caused, and for bolstering rural communities against similar macroeconomic shocks in the future. Yet estimating the causal effects of the pandemic is difficult due to its ubiquitous nature and entanglement with other shocks. In this descriptive study, we combine high-resolution satellite imagery to control for plot-level rainfall with household socio-economic panel data from 2014, 2016, 2019 and 2020, to differentiate the effect of the pandemic from climatic shocks on food security in Morogoro, Tanzania. We find evidence of decreased incomes, increased prices of staple foods, and increased food insecurity in 2020 relative to previous years, and link these changes to the pandemic by asking households about their perceptions of COVID-19. Respondents overwhelmingly attribute economic hardships to the pandemic, with perceived impacts differing by asset level.
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Traditional villages are a valuable cultural asset that occupy an important position in Chinese traditional culture. This study focuses on 206 traditional villages in Hebei Province and aims to explore their spatial distribution characteristics and influencing factors using ArcGIS spatial analysis. The analysis shows that traditional villages in Hebei Province were distributed in clusters during different historical periods, and eventually formed three core clusters in Shijiazhuang, Zhangjiakou and Xingtai-Handan after different historical periods. Moreover, the overall distribution of traditional villages in Hebei Province is very uneven, with clear regional differences, and most of them are concentrated in the eastern foothills of the Taihang Mountains. To identify the factors influencing traditional villages, natural environmental factors, socio-economic factors, and historical and cultural factors are considered. The study finds that socio-economic and natural environmental factors alternate in the spatial distribution of traditional villages in Hebei Province. The influence of the interaction of these factors increases significantly, and socio-economic factors have a stronger influence on the spatial distribution. Specifically, the spatial distribution of traditional villages in Hebei Province is influenced by natural environmental factors, while socio-economic factors act as drivers of spatial distribution. Historical and cultural factors act as catalysts of spatial distribution, and policy directions are external forces of spatial distribution. Overall, this study provides valuable insights into the spatial distribution characteristics and influencing factors of traditional villages in Hebei Province, which can be used to develop effective strategies for rural revitalisation in China.
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After the Second World War, camping and camping sites in forests have developed and increased significantly from the 1980 s to 1990 s in Japan, relying on the laws and institutions established from the 1950 s to 1970 s across multiple administrative sectors, obtaining social approval as a legitimatized outdoor activity and forest use. Since the 2000s, the management of these camping sites has deteriorated mainly owing to economic recession, which caused the movement of camping site renewal by the private sector. This movement directed the diversification of forest use by camping sites in recent years. Camping facilities have been developed in many ways to meet the needs of campers, including organized group camps that promote education and experience in forests, solo camps, glamping, and workcations under the spread of the COVID-19 that demand relaxing or productive environment, and leisure camps that require enrichment of outdoor activities. As a result of this diversification, possibilities for effective utilization of forests and regional revitalization through the management of camping sites have been observed. Many camping sites have utilized forest lands, standing trees, and forest spaces to develop facilities and services, and there are cases where firewood production for campers has promoted the reorganization and development of local forestry and securing of personnel for forest management. In addition to securing local employment brought by reorganization, local revitalization in rural and mountainous areas has been promoted through the linkage of the needs of campers to positive economic effects, increase of the visitors who deeply connected to local people, and comprehensive and sustainable use of resources in local societies. © 2023 Nihon Ringakkai. All rights reserved.
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Rural hospitality and tourism (RHT) play a key role in rural revitalization, especially due to the impact of COVID-19, with more citizens choosing to travel to the countryside for a staycation. Local SMEs, especially family-owned enterprises, make up the majority of the RHT sector, not only providing services and products to satisfy tourists, but also helping with local employment. However, entrepreneurs operating in rural areas face many challenges in terms of capital, skills and education. Hence, it is important to explore the entrepreneurial intention (EI) of local people and how policies can support or change their behaviours. Current research on the RHT industry, rarely study the EI of local people, and the literature on rural entrepreneurship concentrates on developed countries. This study therefore uses agent-based modelling to explore how locals' EI in Chongming island (China) respond to the current impact of COVID-19, and whether policies will bring about changes on the supply side of RHT sector. © SW 2023.All rights reserved
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The health of domesticated animals and wild animals is frequently threatened by animal illnesses. It typically receives less attention and information than illnesses that also impact humans, including the Corona virus. To be able to respond quickly, it is crucial to understand the epidemic's progression and transmission vectors. Numerous new diseases have been reported in the news over the past 20 years, the majority of which having an animal source (zoonoses). Examples from recent times include the West Nile virus, SARS, avian influenza, and monkeypox. Some developing diseases impact both humans and animals, whereas others only affect either animals or humans. All of these emerging or reemerging illnesses, however, have societal repercussions that are frequently connected to regional and global economy. Understanding the effects of newly emerging animal diseases is crucial, as is promoting closer veterinarian and medical professional collaboration, particularly in rural regions. The index cases for newly developing diseases may be illnesses that affect agricultural laborers.
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An introduction to journal is presented in which the author discusses articles within the issue on topics including differences in the receipt and delivery of extended school year services in the U.S., ways to sustain work experiences in rural communities and improve for youth with disabilities, and professional development model for secondary mathematics co-teaching.