Indonesia's Domestic Biogas Programme - Household panel survey data.
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ABSTRACT:
SUBMITTER: Bedi AS
PROVIDER: S-EPMC5854924 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:ObjectiveTo analyse the effectiveness of a household conditional cash transfer programme (CCT) on antenatal care (ANC) coverage reported by women and ANC quality reported by midwives.DesignThe CCT was piloted as a cluster randomised control trial in 2007. Intent-to-treat parameters were estimated using linear regression and logistic regression.SettingSecondary analysis of the longitudinal CCT impact evaluation survey, conducted in 2007 and 2009. This included 6869 pregnancies and 1407 midwives in 180 control subdistricts and 180 treated subdistricts in Indonesia.Outcome measuresANC component coverage index, a composite measure of each ANC service component as self-reported by women, and ANC provider quality index, a composite measure of ANC service provided as self-reported by midwives. Each index was created by principal component analysis (PCA). Specific ANC component items were also assessed.ResultsThe CCT was associated with improved ANC component coverage index by 0.07 SD (95% CI 0.002 to 0.141). Women were more likely to receive the following assessments: weight (OR 1.56 (95% CI 1.25 to 1.95)), height (OR 1.41 (95% CI 1.247 to 1.947)), blood pressure (OR 1.36 (95% CI 1.045 to 1.761)), fundal height measurements (OR 1.65 (95% CI 1.372 to 1.992)), fetal heart beat monitoring (OR 1.29 (95% CI 1.006 to 1.653)), external pelvic examination (OR 1.28 (95% CI 1.086 to 1.505)), iron-folic acid pills (OR 1.42 (95% CI 1.081 to 1.859)) and information on pregnancy complications (OR 2.09 (95% CI 1.724 to 2.551)). On the supply side, the CCT had no significant effect on the ANC provider quality index based on reports from midwives.ConclusionsThe CCT programme improved ANC coverage for women, but midwives did not improve ANC quality. The results suggest that enhanced ANC utilisation may not be sufficient to improve health outcomes, and steps to improve ANC quality are essential for programme impact.
| S-EPMC5665224 | biostudies-literature
Project description:The dataset concerning the Japan Household Panel Survey on Sustainable Development Goals (JHPSDGs) was collected through online surveys conducted in March 2019 and March 2020. The dataset consists of 12,098 observations, including two-period panel datasets of 3,227 individuals. The JHPSDGs include a wide range of individual survey responses, which allows researchers and policymakers to investigate a variety of social science research topics, including but not limited to Sustainable Development Goal (SDG) awareness, pro-sustainable behavior, and labor market decision-making. The variables include detailed demographic information, labor market information, SDG awareness, sustainable and financial decision-making, and personality traits. The dataset can be used to conduct quantitative analyses, especially in the areas of business, economics, and psychology. The dataset is available to the public via the Harvard Dataverse and provides access to questionnaires, codebooks, data, and descriptive statistics.
| S-EPMC9189765 | biostudies-literature
Project description:The discovery of hepadnaviruses in cats (domestic cat hepadnavirus, DCH) and of a DCH-like virus in dogs has raised several questions regarding the role of these viruses in pets, with particular emphasis on their potential impact on animal health and epidemiology, as well as possible zoonotic implications. In this study, by screening an age-stratified collection of 600 canine serum samples for DCH with an ELISA assay based on the recombinant core antigen (DCHCAg), specific antibodies were found with an overall prevalence of 10.0% (60/600), with a higher prevalence in younger and older dogs. By retesting the canine DCHCAbs-positive sera with an ELISA test based on the recombinant surface protein of DCH (DCHSAg), a total of 18 sera (30%, 18/60) also contained IgG anti-DCHSAg. All the sera were also assessed molecularly using either a consensus hepadnavirus PCR or a specific real-time PCR for DCH. Hepadnavirus DNA was detected in four seronegative dogs, with a prevalence rate of 0.7% (4/600). On sequence analysis of the polymerase region amplified with pan-hepadnavirus primers, the amplicons displayed the highest nucleotide identity (97.3-99.6%) to DCH sequences detected in cats and to the domestic dog hepadnavirus recently identified in a canine serum sample from Italy.
| S-EPMC9951874 | biostudies-literature
Project description:BackgroundThe Medical Expenditure Panel Survey (MEPS) is a widely used nationally representative survey of health care use and expenditures. Numerous studies raise concerns that use is underreported in household surveys.ObjectiveTo assess the quality of household reports in the MEPS and the impact of misreporting on descriptive and behavioral analyses.Research designParticipants in MEPS with Medicare coverage during 2001-2003 were matched to their Medicare enrollment and claims data (4,045 person-year observations). Household reports of Medicare-covered services for the matched sample were validated against Medicare claims. Standard models of the determinants of health care utilization were estimated with both MEPS and claims-based utilization measures.MeasuresIn-person interviews with household informants obtained data on hospital inpatient, emergency department (ED), and office-based visits. Comparable measures were created from the claims.ResultsIn the validation sample, households accurately reported inpatient stays (agreement rate=0.96, kappa=0.89) and number of nights (Lin's concordance statistic=0.88). Households underreported ED visits by one-third (Lin's concordance statistic=0.51) and office visits by 19 percent (Lin's concordance statistic=0.67).ConclusionsHousehold respondents in the validation sample accurately report inpatient hospitalizations but underreport ED and office visits. Behavioral analyses are largely unaffected because underreporting cuts across all sociodemographic groups.
| S-EPMC2754554 | biostudies-literature
Project description:Biogas plants (BGPs) produce methane and carbon dioxide through the anaerobic digestion of agricultural waste. Identification of strategies for more stable biogas plant operation and increased biogas yields require better knowledge about the individual degradation steps and the interactions within the microbial communities. The metaprotein profiles of ten agricultural BGPs and one laboratory reactor were investigated using a metaproteomics pipeline. Fractionation of samples using SDS-PAGE was combined with a high resolution Orbitrap mass spectrometer, metagenome sequences specific for BGPs, and the MetaProteomeAnalyzer software. This enabled us to achieve a high coverage of the metaproteome of the BGP microbial communities. The investigation revealed approx. 17,000 protein groups (metaproteins), covering the majority of the expected metabolic networks of the biogas process such as hydrolysis, transport, fermentation processes, amino acid metabolism, methanogenesis and bacterial C1-metabolism. Biological functions could be linked with the taxonomic composition. Two different types of BGPs were classified by the abundance of the acetoclastic methanogenesis and by abundance of enzymes implicating syntrophic acetate oxidation. Linking of the identified metaproteins with the process steps of the Anaerobic Digestion Model 1 proved the main model assumptions but indicated also some improvements such as considering syntrophic acetate oxidation. Beside the syntrophic interactions, the microbial communities in BGPs are also shaped by competition for substrates and host-phage interactions causing cell lysis. In particular, larger amounts of Bacteriophages for the bacterial families Bacillaceae, Enterobacteriaceae and Clostridiaceae, exceeding the cell number of the Bacteria by approximately four-fold. In contrast, less Bacteriophages were found for Archaea, but more CRISPR proteins were detected. On the one hand, the virus induced turnover of biomass might cause slow degradation of complex biomass in BGP. On the other hand, the lysis of bacterial cells allows cycling of essential nutrients.
2019-05-03 | PXD009349 | Pride
Project description:Legionnaires' disease is a potentially fatal pneumonia like infection caused by inhalation or aspiration of water particles contaminated with pathogenic Legionella spp. Household showers have been identified as a potential source of sporadic, community-acquired Legionnaires' disease. This study used qPCR to enumerate Legionella spp. and Legionella pneumophila in water samples collected from domestic showers across metropolitan Adelaide, South Australia. A survey was used to identify risk factors associated with contamination and to examine awareness of Legionella control in the home. The hot water temperature was also measured. A total of 74.6% (50/68) and 64.2% (43/68) showers were positive for Legionella spp. and L. pneumophila, respectively. Statistically significant associations were found between Legionella spp. concentration and maximum hot water temperature (p = 0.000), frequency of shower use (p = 0.000) and age of house (p = 0.037). Lower Legionella spp. concentrations were associated with higher hot water temperatures, showers used at least every week and houses less than 5 years old. However, examination of risk factors associated with L. pneumophila found that there were no statistically significant associations (p > 0.05) with L. pneumophila concentrations and temperature, type of hot water system, age of system, age of house or frequency of use. This study demonstrated that domestic showers were frequently colonized by Legionella spp. and L. pneumophila and should be considered a potential source of sporadic Legionnaires' disease. Increasing hot water temperature and running showers every week to enable water sitting in pipes to be replenished by the municipal water supply were identified as strategies to reduce the risk of Legionella in showers. The lack of public awareness in this study identified the need for public health campaigns to inform vulnerable populations of the steps they can take to reduce the risk of Legionella contamination and exposure.
| S-EPMC6470800 | biostudies-other
Project description:This data article describes a dataset of 1,668 cases representing self-reported assessments of housing inadequacy and perceived housing stress. The dataset also contains person-level and household-level demographic data to contextualize the above measures. A second supplemental file contains the text of the survey instrument. Discussion of theoretical background and measures development as well as a more detailed socioeconomic profile of the sample is available in the associated research article http://dx.doi.org/10.1016/j.jenvp.2016.01.002(Campagna, 2016) [1].
| S-EPMC4796714 | biostudies-literature
Project description:The core populations and co-occurrence patterns of prokaryotic communities in household biogas digesters
| PRJEB10542 | ENA
Project description:Study objectiveTo examine social inequalities in minor psychiatric morbidity as measured by the GHQ-12 using lagged models of psychiatric morbidity and changing job status.DesignGHQ scores were modelled using two level hierarchical regression models with measurement occasions nested within individuals. The paper compares and contrasts three different ways of describing social position: income, social advantage and lifestyle (the Cambridge scale), and social class (the new National Statistics Socio-Economic Classification), and adjusts for attrition.SettingSurvey interviews for a nationally representative sample of adults of working age living in Britain.Participants8091 original adult respondents in 1991 who remain of working age during 1991-1998 from the British Household Panel Survey (BHPS).Main resultsThere was a relation of GHQ-12 to social position when social position was combined with employment status. This relation itself varied according to a person's psychological health in the previous year.ConclusionsThe relation between social position and minor psychiatric morbidity depended on whether or not a person was employed, unemployed, or economically inactive. It was stronger in those with previously less good psychological health. Among employed men and women in good health, GHQ-12 varied little according to social class, status, or income. There was a "classic" social gradient in psychiatric morbidity, with worse health in less advantaged groups, among the economically inactive. Among the unemployed, a "reverse" gradient was found: the impact of unemployment on minor psychiatric morbidity was higher for those who were previously in a more advantaged social class position.
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Project description:The national census is an essential data source to support decision-making in many areas of public interest. However, this data may become outdated during the intercensal period, which can stretch up to several decades. In this study, we develop a Bayesian hierarchical model leveraging recent household surveys and building footprints to produce up-to-date population estimates. We estimate population totals and age and sex breakdowns with associated uncertainty measures within grid cells of approximately 100 m in five provinces of the Democratic Republic of the Congo, a country where the last census was completed in 1984. The model exhibits a very good fit, with an R2 value of 0.79 for out-of-sample predictions of population totals at the microcensus-cluster level and 1.00 for age and sex proportions at the province level. This work confirms the benefits of combining household surveys and building footprints for high-resolution population estimation in countries with outdated censuses.
| S-EPMC8921279 | biostudies-literature