Rural Survey Research Articles

Excess mortality during COVID-19 pandemic in Bangladesh - evidence from a rural survey.

The coronavirus disease 2019 (COVID-19) had a profound impact worldwide. In Bangladesh, the official number of deaths for COVID-19 was around 29 000. However, many countries including Bangladesh experienced substantial underreporting of COVID-19 deaths due to lack of complete national civil registration system. This study aims to estimate excess mortality in 2020, identify risk factors, and determine leading causes of death in Bangladesh. In February 2021, we conducted a cross-sectional household survey in Sitakunda, a subdistrict of Chattogram, identifying deaths from January 2018 to December 2020. Excess mortality was quantified using the p-score and incidence rate ratio (IRR) utilising Poisson segmented regression. We employed the InterVA-5 algorithm to attribute causes of death. Proportional distribution and cause-specific mortality rates (CSMR) per 100 000 individuals were compared between pre-pandemic and pandemic periods. Among 1748 deaths from 25 669 households, we found 1.4 (95% confidence interval (CI) = 1.2-1.4) times excess mortality in 2020 compared to 2018-2019. Leading causes of death in 2020 included cardiac disease (CSMR = 121.0, CI = 115.8-127.3), stroke (CSMR = 108.0, CI = 102.6-114.0), and acute respiratory infection (CSMR = 61.0, CI = 55.1-66.5), all displaying significantly higher mortality rates than in previous years. Older age (IRR = 1.6), less education (IRR = 1.8), and lower socio-economic groups (IRR = 2.1) had higher mortality rates in 2020 compared to pre-pandemic years. Our study suggests high rural excess mortality during COVID-19 including cardiac disease, stroke and acute respiratory infection as the leading causes of deaths. We require targeted strategies to identify high-risk patients with comorbidity and social vulnerabilities that contribute to mortality to guide the preparedness strategy for future pandemics.

Socioeconomic dynamics and technological integration in Punjab's farming communities: Insights from a rural survey

Socioeconomic dynamics and technological integration in Punjab's farming communities: Insights from a rural survey

Rural financial institutions, access to credit and production inputs of rural households

This paper studies the impact of rural financial institutions on farmers' production input from the perspective of rural bank branch adjustment and rural household credit access. Based on the data of rural bank outlets and China Household Income Survey (CHIP) in 293 prefecture-level cities in China from 2013 to 2018, the results show that rural financial outlets have a significant positive impact on farmers' production input, and each unit increase in the number of bank outlets will increase farmers' production input by 0.24 units, and the proportion of consumer expenditure will decrease by 0.071 units. The number of bank outlets has significant heterogeneity of household head and region on the production input of farmers, and the bank outlets have a greater impact on the production input of farmers with high education level. The increase in the number of bank outlets in the eastern region can significantly increase the production input of farmers, but the increase in the number of bank outlets in the central and western regions will reduce the production input of farmers. The mechanism analysis shows that the increase of branches of rural financial institutions improves farmers' access to credit, which is an important channel affecting farmers' production input. This study provides a reference for the reform of rural financial institutions and the revitalization of rural industries in China.

MITIGATION OF FOOD INSECURITY IN ETHIOPIA: PERSONAL, HOUSEHOLD, AND REGIONAL DETERMINANTS

Food insecurity has plagued Ethiopia for decades. The objective of this study is determining which personal attributes, household features, income-generating undertakings, and regional location change the food insecurity of Ethiopian households updating past studies. Furthermore, the study quantifies the probability changes in a household being food insecure in response to changes in personal attributes, household features, income-generating undertakings, and regional location. The data from the 2021/2022 Ethiopian Rural Socioeconomic Survey have been applied to estimate coefficients using the logit technique and calculate the effects of explanatory variables. Results show that being a male household head, education, having non-farm enterprise, and access to electricity lower the likelihood of a household being food insecure. In contrast, the likelihood of being food insecure has been associated with the region where a household was located, or dependence on raising livestock. The regional discrepancies have been substantial. Broadening access to education, stimulating non-farm enterprise, and promoting economic development while accounting for regional differences will reduce the risk of household food insecurity.

The Byzantine Insular Countryside in the Early Middle Ages (ca. 600-ca.900): The Cases of Sicily, Cyprus, and Crete in (partial) Light of Environmental Archaeology

ABSTRACT This paper provides an overview of rural surveys and environmental archaeology studies on Sicily, Cyprus and Crete during the Byzantine Empire. It re-evaluates traditional interpretations of agricultural settlement patterns, ecosystems and populations from Late Antiquity to the early Middle Ages (late sixth to late ninth century). The prevailing narrative that these islands were devastated by Arab incursions, leading to widespread depopulation, economic collapse and abandonment of rural sites in favour of fortified hilltop settlements, is questioned. Instead, the study employs a comparative and interdisciplinary approach, combining environmental and climatic data with historical and archaeological evidence. This method offers a more nuanced understanding of how insular rural societies adapted to changing environmental and human conditions during the Byzantine Empire's transition from an economically unified region to a fragmented Medieval Mediterranean. The findings highlight the resilient nature of land use and rural settlement patterns amidst the transformation of the empire's political, military and administrative structures.

Demographic and geographic distribution of diabetes and pre-diabetes risk in rural settings: results from a cross-sectional, countywide rural health survey in Sullivan County, New York

ObjectiveTo perform a detailed characterisation of diabetes burden and pre-diabetes risk in a rural county with previously documented poor health outcomes in order to understand the local within-county distribution of...

Farmland rental participation, livelihood capital, and rural income inequality: evidence from rural China

ABSTRACT Using data from the China Family Panel Studies through a national rural survey, we analysed the effects of farmland rental participation and five types of livelihood capital on rural household income. We considered different livelihood strategies and applied the sustainable livelihood framework. Additionally, we used a regression-based Shapley-value decomposition method to examine how farmland rental participation and livelihood capital contribute to the rural income gap. Additionally, we investigated whether farmland rental participation is beneficial in reducing rural income inequality. The results show that farmland rental participation can lead to income benefits for the vast majority of farmers. Furthermore, farmland rental participation is not a primary factor contributing to the rural income gap. Household physical, human, and financial capital emerge as the three factors significantly influencing the income gap. The quantile regression results indicate that providing reasonable guidance to the farmland rental market is beneficial for narrowing the rural income gap. Implementing proactive policies aimed at enhancing the human, financial, and social capital of farmers can theoretically contribute to narrowing the rural income inequality.

Early-life famine exposure may modify the association between long-term temperature variability and cardio-cerebrovascular diseases: a nationwide study

Abstract Background We aimed to evaluate whether the association between long-term temperature variability (TV) and CCVDs was affected by famine exposure in different age stages. 
Methods We used data from the fourth national Urban and Rural Elderly Population survey (2015). Participants were categorized into six groups based on their age at famine exposure (famine exposure under age 5, between ages 5 and 18, and during adulthood) and the severity (severely affected areas versus mildly affected areas) of the Great Chinese Famine (1959-1961) in their province of residence. Mixed-effects logistic regression model was used to quantify the association between long-term TV and the prevalence of CCVDs across six famine-exposed groups.
Findings A total of 222,179 participants were included. In severely affected areas, the odds ratio (OR) of CCVDs associated with per 1°C increase in 5-year average TV were 1.07 (95% confidence interval [CI]: 1.02, 1.13) for those exposed to famine during adulthood, 1.28 (95% CI: 1.17, 1.40) under the age of 5 years. Urban residence, higher education, increased household income, and more frequent physical activity could mitigate the association between TV and CCVDs, particularly among those exposed to severe famine before the age of 5.
Conclusion Individuals exposed to famine before the age of 5 are more susceptible to TV-related CCVDs compared to those exposed during adulthood. Our findings highlight the importance of early-life nutrition in lowering susceptibility to CCVDs later in life.

Is human activity driving climate change? Perspectives from Australian landholders

Australian agriculture and the rural communities that depend upon it are expected to experience significant impacts from climate change. The recognition of the human role in climate change is central in the design and implementation of effective strategies to mitigate and adapt to its impacts. Understanding the extent to which members of the public, such as private landholders, acknowledge human-caused climate change is critical, given their role as custodians of large tracts of natural resources. Rural social benchmarking studies are a useful tool for understanding landholder values and beliefs. Here, we use a rural social benchmarking survey to examine landholder agreement regarding the extent to which humans contribute to climate change across four Australian agricultural regions. We perform hierarchical clustering analysis to determine subgroups of landholders with similar patterns of survey responses. We then evaluate this effect of cluster membership and demographic characteristics using Bayesian ordinal regression on levels of agreement with the statement “that human activities are influencing climate change.” Our findings reveal three distinct clusters based on patterns of responses to survey questions eliciting participants values beliefs and norms. Cluster membership exhibits the strongest positive influence on agreement (0.52, 95% CI: 0.37 to 0.67). This was followed by higher education levels (0.32, 95% CI: 0.22 to 0.41). Gender showed a moderately uncertain but positive influence. Years residing on the property, participant age, and property size showed very little influence, while rainfall zones showed a negative influence of-0.29 (95% CI: −0.47 to-0.12). Our results underscore the need for extension programs to consider landholder typologies based on a combination of lived experience and demographics.

The Impact of Income Disparity on Food Consumption—Microdata from Rural China

This paper examines the relationship between income inequality and consumption, utilizing panel data from rural China over a span of four years to validate the application of relative income theory in the domain of food consumption. Food consumption represents a significant portion of expenditures for the low-income demographic and is of vital importance to China’s food security and agricultural development. To ascertain the impact of income inequality on food consumption, this paper employs a bi-directional fixed-effects model, a mediation effect model, and machine learning causal analysis methods. Utilizing four years of rural resident survey data from the China Health and Nutrition Survey database, the study empirically tests the effect of income inequality on various types of food consumption, the channels through which it operates, and the heterogeneity among different income groups and educational backgrounds. The findings indicate that (1) income inequality within rural communities positively influences food consumption, and this conclusion remains robust under endogeneity treatment and robustness checks, positively affecting the transformation of food consumption and healthy intake; (2) income inequality among rural residents promotes food consumption through two mediating channels: the “demonstration effect” and the “ratchet effect;” (3) the impact of income inequality on food consumption exhibits heterogeneity among rural residents of different income levels and educational backgrounds.

Observations on status and trends of agricultural extension and inequality in Uganda

The global pandemic has accentuated inequalities, with vulnerable populations in developing countries fairing worst. In rural sub-Saharan Africa, restrictions on mobility to limit the spread of COVID-19 negatively impacted access to extension services and inputs by farmers. In response, countries deployed digital technologies to meet some of these challenges in the context of existing income, gender and spatial inequalities and historic declines in funding for public extension. Focusing on Uganda, which had one of the longest and strictest lockdowns, the paper used panel datasets of farmers from 2005 to 2019/2020 and found persistent socio-economic and gender inequalities in access to extension. Data from rapid rural surveys from 2020 to 2021 and a review of recent literature suggest these inequalities increased during the pandemic. The paper then builds on the structure and reforms of the current extension system to assess the potential of the digital services and their added value given the inequalities observed. The paper finds that the ability of government-led, inclusive, digital extension services is limited unless investments in extension are increased. In light of long-term declines in funding for extension, future research should focus on the effectiveness of policies to encourage private sector-led digital extension efforts to strengthen the pro-poor nature of agricultural growth.

How do agricultural subsidies affect farmers’ non-grain cultivated land production? Evidence from the fourth rural Chinese households panel data survey

How do agricultural subsidies affect farmers’ non-grain cultivated land production? Evidence from the fourth rural Chinese households panel data survey

A study of the promotion mechanism of digital inclusive finance for the common prosperity of Chinese rural households

Common prosperity is a social policy goal pursued by the Chinese government and an ideal social status for humanity. On the basis of three theoretical hypotheses, this study involved the analysis of county-level digital inclusive finance data and rural survey data. The Hierarchical Linear Model was employed to empirically analyze the impact and mechanism of digital inclusive finance on the common prosperity of rural households. The results indicate that the county-level digital inclusive finance index, as well as its depth and coverage, can significantly and directly promote common prosperity. Furthermore, it was found that household livelihood strategies are one of the regulatory mechanisms, and digital inclusive finance significantly promotes common prosperity through factors such as opportunities for migrant work, property income, business livelihood models, and agricultural livelihood models. In addition, financing methods are also important adjustment mechanisms, and digital inclusive finance significantly promotes the common prosperity through digital tools and loan availability variables. Our research provides favorable evidence for the cross-level interaction effect of county-level digital inclusive finance on the common prosperity of rural households.

Farmland Transfer Mode and Livelihood Capital Endowment Impacts on Income Inequality: Rural Survey Data of Hubei Province, China

Studying the impact of different farmland transfer modes on farmers’ income inequality can help understand the reasons for the income gap between farmers. Based on this, we use field survey data and OLS regression, quantile idea and Shapley decomposition to analyse the impact of farmland transfer on farmers’ income inequality. The results show that the influence of farmers’ spontaneous mode on the increase in farmers’ income is better than that of the market-led mode and government-led mode. The market-led and government-led transfer modes also significantly enhance the positive impact of livelihood capital on farmers’ income. The higher the level of natural, material, labour and social capital of farmers, the more favourable the effect on income, while the financial capital is more beneficial to high-income farmers. As for the restraining effect of the transfer modes on the income gap, the farmers’ spontaneous mode is the best, the government-led mode is the second, and the market-led mode is the worst. Further research shows that the transfer mode greatly impacts the income inequality of middle-income and low-income farmers. There are significant differences in the effects of livelihood capital on farmers’ income inequality in different transfer modes. Therefore, on the premise of following farmers’ willingness, the government should play a leading role in further standardizing the farmland transfer market and improving the household income of low-income and middle-income farmers.

Improving drinking water quality through proficiency testing-the impact of testing method and accreditation status on Escherichia coli detection by Canadian environmental testing laboratories.

Water quality testing is crucial for protecting public health, especially considering the number of boil water advisories annually issued across Canada that impact daily life for residents in affected areas. To overcome these challenges, the development of drinking water safety plans and accessibility to regular testing using simple, rapid, and accurate materials are necessary. However, the significance of monitoring the accuracy of environmental microbiology testing laboratories cannot be overlooked. Participation in external quality assessment programs, such as those that include proficiency testing (PT), is a necessary risk management resource that ensures the effectiveness of these testing processes. Proficiency Testing Canada (PTC), in collaboration with the Canadian Microbiological Proficiency Testing (CMPT) program based at the University of British Columbia, have implemented a drinking-water microbiology PT program since 1996. Both PTC and CMPT are ISO/IEC 17043:2010-accredited EQA providers. The drinking water program provided PT challenges to subscribing testing laboratories twice per year. Each challenge consisted of four samples containing unknown concentrations of Escherichia coli (E. coli) and Enterobacter spp. Results from participants were assessed for accuracy based on the method of testing. This cross-sectional study evaluated 150 rural and metropolitan testing sites across Canada between 2016 and 2022. Multivariable logistic regression analysis was conducted to examine the impact of different testing methods and laboratory accreditation status on the proficiency scores. This approach enabled us to assess the association between multiple independent variables and the likelihood of achieving specific proficiency scores, providing insights into how testing methods and accreditation status affect overall performance. After adjusting for rural residence, testing time, and survey year, the membrane filtration method was positively associated with the likelihood of scoring satisfactory results compared to the enzyme-substrate method (OR: 1.75; CI: 1.37-2.24), as well as accreditation status (OR: 1.47; CI: 1.16-1.85). The potential for improvement in environmental laboratory testing performance through the implementation of regulated PT in drinking water safety plans is proposed, along with the need for reliable testing methods applicable to rapid drinking water microbiology testing.

Determinants of Rural Migration Intent in Nebraska: Evidence from Rural Survey Data

Issues related to in-migration, out-migration, and within-state migration have been of interest to urban and rural planners, local and state governments, and researchers, among others, for many years. Why do some areas thrive and grow while seemingly comparable sites experience declining populations and challenges in providing the services people expect? Using a unique dataset that focuses on rural residents in Nebraska and their intent to relocate, this study uses a Probit model to assess the determinants of migration in rural Nebraska. Among other findings, it appears that rural outmigration intent is driven as much by the lack of rural amenities as by economic conditions.

Rural development in Stavropol Krai: Assessment based on statistics and local perception

The article classifies rural territorial entities using the systems approach, which is based on identifying their key subsystems—natural, social, and economic. The study aims to develop and implement a procedure for creating a multi-aspect assessment range of rural development levels relying on the combined use of multivariate statistical analysis and the computational and expert comparison of objective and subjective structured information. The grouping of rural territorial entities carried out on this basis is intended to identify a pattern representing their targeted development, taking into account both the existing social and economic situation in the territory and its perception by the population. Methodological approaches to classify territorial rural units according to their level of rural development usually lack a systemic perspective and a subjective dimension to include the rural inhabitant perspectives. Using only expert opinions does not allow it to be reflected adequately enough. The comparison between the objective and subjective assessments of the natural, social, and economic conditions of rural territorial entities serves as the basis for identifying three groups of development patterns. Results were obtained through the combined application methods—cluster analysis and multidimensional scaling. The first one was used for an objective ranking of municipal districts in the region using official statistical data, while the second method was used for structuring the rural survey results. The main study result is the procedure for the multi-aspect grouping of rural areas, which enables the objective and subjective assessment of their key subsystems—economic, social, and natural—to be integrated into a single assessment tool. Its application helps establish a range of general patterns representing rural development. The study results can be used in the creation and updating of object- and subject-differentiated programs for the development of rural territorial entities.

Tibiofemoral Dislocation Management in a Rural High School Football Scenario: Development of a Popliteal Artery Injury Suspicion Index.

This study evaluated the knowledge and preparedness of athletic trainers (ATs) for diagnosing and managing an anterior tibiofemoral knee dislocation in a rural or limited-resource high school football setting scenario. The study hypothesis was that more experienced ATs would display greater preparedness than less experienced ATs. A secondary objective was to develop evidence-based guidelines to help the AT provide better emergency triage care. This prospective cross-sectional study distributed a rural high school football game scenario survey electronically to a random sample of 2000 certified ATs to determine their perceptions of readiness to diagnose and manage an anterior tibiofemoral knee dislocation with signs or symptoms of possible popliteal artery injury. A total of 249 surveys (12.5%) were completed. Years of athletic training experience were ≤5 years (n = 82, group 1) and ≥6 years (n = 167, group 2). Both groups perceived that they could not "rule out" an arterial injury and had similar "red flag" sign and symptom rankings. Group 2 perceived a more serious situation than group 1 (77.5 ± 15 vs 70.8 ± 14, P < 0.0001) and were more likely to activate the emergency action plan (74.5 ± 25 vs 64.4 ± 26, P = 0.005). Both groups were "neutral" about their ability to diagnose the condition or manage the case, had poor ankle-brachial index test familiarity, and agreed that evidence-based guidance was needed. More experienced ATs perceived a more serious situation than less experienced ATs and were more likely to activate the emergency action plan. Both groups were neutral about their ability to diagnose the condition or manage the case, had poor ankle-brachial index test familiarity, and agreed that they would benefit from evidence-based guidance. Proposed guidelines provide the AT with a more measured, evidence-based index of suspicion for potential popliteal artery injury in anterior tibiofemoral dislocation cases. This will complement existing hospital emergency department-based management algorithms, decreasing the likelihood of this condition progressing to limb loss or death.

Waist circumference and glycaemia are strong predictors of progression to diabetes in individuals with prediabetes in sub-Saharan Africa: 4-year prospective cohort study in Malawi.

Sub-Saharan Africa is projected to have the highest increase in the number of people with diabetes worldwide. However, the drivers of diabetes in this region have not been clearly elucidated. The aim of this study was to evaluate the incidence of diabetes and the predictors of progression in a population-based cohort with impaired fasting glucose (IFG) in Malawi. We used data from an extensive rural and urban non-communicable disease survey. One hundred seventy-five, of 389 individuals with impaired fasting glucose (IFG) at baseline, age 48 ±15 years and body mass index 27.5 ±5.9 kg/m2 were followed up for a median of 4.2 years (714 person-years). Incidence rates were calculated, and predictors of progression to diabetes were analysed using multivariable logistic regression models, with overall performance determined using receiver operator characteristics (ROC) curves. The median follow-up was 4.2 (IQR 3.4-4.7) years. Forty-five out of 175 (26%) progressed to diabetes. Incidence rates of diabetes were 62.9 per 1000 person-years 95% CI, 47.0-84.3. The predictors of progression were higher; age (odds ratio [OR] 1.48, P = 0.046), BMI (OR 1.98, P = 0.001), waist circumference (OR 2.50,P<0.001), waist-hip ratio (OR 1.40, P = 0.03), systolic blood pressure (OR 1.56, P = 0.01), fasting plasma glucose (OR 1.53, P = 0.01), cholesterol (OR 1.44, P = 0.05) and low-density lipoprotein cholesterol (OR 1.80, P = 0.002). A simple model combining fasting plasma glucose and waist circumference was predictive of progression to diabetes (ROC area under the curve = 0.79). The incidence of diabetes in people with IFG is high in Malawi and predictors of progression are like those seen in other populations. Our data also suggests that a simple chart with probabilities of progression to diabetes based on waist circumference and fasting plasma glucose could be used to identify those at risk of progression in clinical settings in sub-Saharan Africa.

The effect of the local environment on child nutritional outcomes: how does seasonality relate to wasting amongst children under 5 in south-west coastal Bangladesh?

The impact of short-term environmental changes on child nutritional status is not constant within populations. In many countries, the seasons are closely linked with many factors that are known to affect nutritional outcomes, such as food consumption, crop harvests, employment opportunities and illness. With extreme seasonal variation becoming more common, understanding how seasonality is related to child nutritional outcomes is vital. This study will explore spatial and temporal variation and determinants for acute malnutrition in a coastal river delta in south-west Bangladesh over the period of a year. Using a rural longitudinal survey, conducted in 2014–15 with 3 survey waves, wasting amongst children under 5 was studied. Spatial variation was analysed through ‘socio-ecological systems’, which capture interactions between ecosystems, livelihoods and populations. Wasting prevalence varied from 18.2% in the monsoon season to 8.7% post-major rice harvest (Aman). Seasons did not relate to wasting consistently over socio-ecological systems, with some systems showing greater variability over time, highlighting distinct seasonal dynamics in nutritional status. Wealthier socio-ecological systems had lower wasting generally, as expected, with greater livelihood diversification opportunities and strategies to smooth consumption. Nutrition interventions must consider seasonal peaks in acute malnutrition, as well as the environmental context when implementing programmes to maximise effectiveness. With increasing variability in seasonal changes, inequalities in the impact of season must be accounted for in health promotion activities. Furthermore, timing and season of survey implementation is an important factor to be accounted for in nutrition research, especially when comparing between two cross-sectional surveys.