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69 results for “household survey”
Household Survey - Impacts of large-scale land acquisitions on smallholder agriculture and livelihoods in Tanzania
<p><strong>** Article & Dataset Currently Under Review **</strong></p> <p><strong>Dataset Overview</strong></p> <p>Our household dataset is associated with a pre-print article "Impacts of large-scale land acquisitions on smallholder agriculture and livelihoods in Tanzania". The household survey is designed for the purposes of policy evaluation with selection of households based on proximity to large-scale land acquisitions (treatment) and a set of households in similar socio-ecological contexts with no association to large-scale land acquisitions (control). Households were selected as a random sample in 35 villages surrounding LSLAs who provided responses to a questionnaire covering household income, assets, farming practices, health, food-security, and energy-use. </p> <p>Two datasets are provided. First, the "hh_dataset_rep.csv" providing household responses for variables used in this study. Second, the "hh_crops_rep.csv" provides detail on crops cultivated by each household, self-reported yields and farm-gate prices. Each variable is described in the "variable_descriptoin.xlsx". In addition to the datasets, we provide replication code for this study "lsla_mechanisms_rep.Rmd" as an R-Markdown file.</p> <p><strong>Article Abstract</strong></p> <p>Improving agricultural productivity is a major sustainability challenge of the 21<sup>st</sup> century. Large-scale land acquisitions (LSLAs) have important effects on both well-being and the environment in the Global South, but their impacts on agricultural productivity and subsequent effects on farm incomes or food-security are under-investigated. Prior studies lack data or methods to investigate the mechanistic nature of household change in agricultural practices that may vary due to LSLA conditions. To overcome this challenge, we use a novel household dataset and a quasi-experimental design to estimate household level changes in agricultural value driven by LSLAs in Tanzania. In addition, we use a causal mediation analysis to assess how contract farming arrangements, land loss, and adoption of new farming technologies around LSLAs influence agricultural productivity. We find that households near LSLAs produced 19.2% (95% CI: 3.5 – 37.2%) higher agricultural value, primarily due to increased crop prices and farmer selection of high-value crops. Importantly, effect sizes are positively and negatively mediated by different mechanisms. The presence of contract farming explains 18.1% (95% CI: 0.56%, 47%) of the effect size in agricultural value, whereas land loss reduces agricultural value by 26.8% (95% CI: -71.3%, -4.0%). We also estimate whether improvements in food-security and household incomes occur in proximity to LSLAs, as anticipated with higher agricultural value. However, we do not find increases in agricultural income and food security, which may be due to higher crop prices in proximity to LSLAs. Our results stand in contrast to assumptions that technological spillovers occur through LSLAs and are principal drivers of agrarian change, holding important implications for agricultural transformations. Instead access to output markets through contract farming enables greater agricultural value whereas land loss negatively affects the agricultural value of households. Governance strategies should focus on limiting negative impacts related to the loss of smallholder land rights enabling greater access to contract farming.</p> <p> </p>
Antenatal and Postnatal Care Research Collective - Household Survey (ARCH)
ClinicalTrials.gov study NCT05154331. IPD Sharing: YES. Countries: 1. Publications: 0.
Lwala household survey 2018-2019: Demographic, depression, and economic variables
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LBA-ECO LC-01 Northern Ecuadorian Amazon Household Surveys, Summary Results: 1999
This data set reports summary statistics from socioeconomic and demographic surveys administered to the male and female heads of household on 767 farm plots. The surveys were performed in the provinces of Sucumbios and Napo/Orellana, in the northern Ecuadorian Amazon colonist settlements (Oriente) in 1999 (Pan and Bilsborrow, 2005). In addition, perception of, and opinions about local climate, soil quality, and environmental contamination were assessed for both the male and female heads of household. There are two comma-delimited (csv) ASCII data files. One file provides summary data from male respondents; the other data file provides summary responses from the female household survey (generally the spousal respondent). The original questionnaire forms are included as companion files (PDF format).
Non-communicable diseases household survey
<p><strong> </strong></p><p><strong>*Corresponding Author:</strong></p><p>Ghamdan Gamal Alkholidy (ghamdangamal@gmail.com)</p><p> </p><p><strong>Abstract</strong></p><p>Non-communicable diseases (NCDs) claim 41 million lives annually, accounting for 71% of global mortality. The Middle East sees a rapid increase in NCD cases, yet Yemen remains underexplored in this context. This study aims to investigate NCD epidemiology in Sana'a City, Yemen, for 2017. Raw data from a 2017 house-to-house survey conducted by the Ministry of Public Health and Population was analyzed. Household heads reported any of the following five NCDs in the household: hypertension (HTN), diabetes mellitus (DM), bronchial asthma (BA), mental disorders (MD), and epilepsy. Data were entered and analyzed using Epi info 7.2, using 2017 projections from the 2004 census. The study encompassed 241,310 households, housing 1,592,646 individuals. Among these, 59,061 households (24.48%) included 70,178 individuals with at least one NCD. The overall NCD prevalence was 4.4%, with specific prevalence: HTN 2.3%, DM 2.2%, BA 0.4%, MD 0.27, and epilepsy 0.19%. NCD prevalence was significantly higher among females than males (5.1% vs. 3.8%; odds ratio [OR] 1.35, 95% confidence intervals [CI] 1.33–1.35), a trend mirrored in HTN (3.1% vs 1.6%; OR 1.94, 95% CI 1.90–1.98), DM (2.3% vs 2.1%; OR 1.11, 95% CI 1.09–1.13), and BA (0.5% vs 0.3%; OR 1.56, 95% CI 1.49–1.65). Conversely, MD was more prevalent among males than females (0.35% vs. 0.16%; OR 2.2, 95% CI 2.06–2.31). NCD prevalence increased with age, with nearly 18% of patients having more than one NCD, including 35.2% of HTN patients also having DM. One-quarter of surveyed households had at least one member with one or more of the five NCDs, emphasizing an overall NCD prevalence of 4.4%. These findings rely only on self-reported diagnosed cases, lacking standardized measures. In light of these findings, it is crucial to increase focus on NCDs, enhance healthcare provision, improve data collection, implement an NCDs stepwise survey, and establish an NCD surveillance system.</p><p> </p><p><i><strong>Keywords:</strong></i></p><p> Non-communicable diseases; Hypertension; Diabetes; Bronchial asthma</p>
Data from: Injuries, death, and disability associated with 11 years of conflict in Baghdad, Iraq: a randomized household cluster survey
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Household survey and Urban Structure Type (UST) data for the city of Berlin, Germany
<p>An overview of the household survey data conducted in 39 selected planungsräume or planning areas (PLRs) in Berlin and its link with spatial datasets i.e., urban structure types (USTs) are provided in this document. </p>
Household survey data linked to Urban Structure Type (UST) for the city of Stuttgart, Germany
<p><span>An overview of the household survey data conducted at Stadtteile scale in the city of Stuttgart and its link with spatial datasets i.e., urban structure types (USTs) are provided in this document. </span></p>
Nepal Household Survey on Burn Injuries- 2018
<p>This is a dataset that contains 7,275 records from 1,279 households from 3 rural municipalities in Nepal where a burn injury survey was conducted in 2018.</p>
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OpenNeuro
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