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30 results for “Slum”
Survey of open data and information seeking in Kenya's Urban Slums and Rural Settlements
<p>This dataset provides survey responses from 240 people surveyed as part of the "Investigating the Impact of Kenya’s Open Data Initiative on Marginalized Communities: Case Study of Urban Slums and Rural Settlements" project.</p> <p>The data, collected in mid-2013 looks at issues of where citizens look for data, and how successful they have been in getting government information from different sources, as well as their awareness of the Kenya open data portal, and their interest in getting information through different digital channels in future.</p> <p>Descriptive statistics have been analysed in the publication "Open Government Data for Effective Public Participation: Findings of a Case Study Research Investigating The Kenya's Open Data Initiative in Urban Slums and Rural Settlements", but no further analysis has yet been carried out.</p> <p><strong>Data descriptions</strong></p> <p>The Codebook.csv file lists variable names and the questions asked to elicit each response.</p> <p>JHC-Data.csv contains the results from the questionnaires collected through structured in-person interview in the three locations. The questionnaires were administered at chiefs centres, community resource centres, constituency development fund office and religious centres). The questionnaires were filled in by every 2nd these centres.</p> <p><strong>More information</strong></p> <p>More information on the research project can be found at http://opendataresearch.org/project/2013/jhc</p>
Using Rhodamine B to Assess the Movement of Small Mammals in an Urban Slum
<p>Dataset (capture data), and code for analysis in R for the study "Using Rhodamine B to Assess the Movement of Small Mammals in an Urban Slum Using Rhodamine B to Assess the Movement of Small Mammals in an Urban Slum".</p> <p>File "rat.csv" comprises the dataset with only Rhodamine B positive rats captured, with capture distance, sex of the individual, and weight.</p> <p>FIle "ratindiv.csv" comprises the full capture dataset (all rats both positive and negative to Rhodamine B), with the same information collected in "rat.csv".</p>
Data from: Impact of involvement of non-formal health providers on TB case notification among migrant slum-dwelling populations in Odisha, India
Background: Migrant labourers living in the slums of urban and industrial patches across India make up a key sub-population so far controlling Tuberculosis (TB) in the country is concerned. This is because many TB patients from these communities remain under reached by the Revised National Tuberculosis Control Programme (RNTCP) of India. This marginalized community usually seeks early-stage healthcare from "friendly neighbourhood" non-formal health providers (NFHPs). Because, RNTCP has limited capacity to involve the NFHPs, an implementation research project was conceived, whereby an external partner would engage with the NFHPs to enable them to identify early TB symptomatics from this key sub-population who would be then tested using Xpert MTB/RIF technology. Diagnosed TB cases among them would be referred promptly to RNTCP for treatment. This paper aimed to describe the project and its impact. Methods: Adopting a quasi-experimental before-after design, four RNTCP units from two major urban-industrial areas of Odisha were selected for intervention, which spanned five quarters and covered 151,400 people, of which 30% were slum-dwelling migrants. Two similar units comprised the control population. The hypothesis was, reaching the under reached in the intervention area through NFHPs would increase TB notification from these traditionally under-notifying units. RNTCP notification data during intervention was compared with pre-intervention era, adjusted for contemporaneous changes in control population. Results: The project detected 488 Xpert+ TB cases, of whom 466 were administered RNTCP treatment. This translated into notification of additional 198 new bacteriologically positive cases to RNTCP, a 30% notification surge, after adjustment for 2% decline in control. This meant an average quarterly increase in notification of 41.20(20.08, 62.31; p<0.001) cases. The increase was immediate, evident from the rise in level in the time series analysis by 50.42(10.28, 90.55; p=0.02) cases. Conclusion: Engagement with NFHPs contributed to an increase in TB notification to RNTCP from key under reached, slum-dwelling migrant populations.
SlumMapVisionBR: A Dataset for Mapping Slums with Medium-Resolution Satellite Imagery
<p>This dataset contains Landsat images (30m/pixel) and masks with slum locations in Brazil. </p><p>This imagery can be used to train models that help keep track of Goal 11.1 of the United Nations Sustainable Development Goals. </p><p>Details on how the data was collected and labelled are available at: <a href="https://github.com/ml-labs-crt/SlumMapVisionBR">https://github.com/ml-labs-crt/SlumMapVisionBR</a>, along with the code to generate the dataset and benchmark results.</p><p>Description of files:</p><ul><li>images.zip contains the images.</li><li>masks.zip contains the masks with slum locations (1 indicates the area has been labelled as a slum).</li><li>metadata.csv contains information about the 116 locations in this dataset.</li><li>metadata_dictionary.txt includes a description of the fields in metadata.csv.</li></ul><p><strong>Refining documentation:</strong> We welcome additions and edits that make using the existing data or adding new data more straightforward for the community. Please get in touch with us by <a href="https://github.com/ml-labs-crt/SlumMapVisionBR/issues">posting an issue on GitHub</a>.</p>
Geospatial micro-estimates of slum populations in 129 Global South countries using machine learning and public data
<p><span>Reliable estimation of populations living in slums or slum-like conditions is crucial for urban planning, humanitarian resource allocation, and human well-being improvement. We generate the micro-estimate of slum population at a neighborhood level (~</span><span>3.63 arc-minutes</span><span>, preserving the privacy of vulnerable people) for 129 Global South countries in 2018. The estimates are built based on the Sustainable Development Goals 11.1 indicator framework and machine learning algorithms to heterogeneous data from household-based surveys and satellite images, as well as grided population data. Our integrated regional models show strong predictive capabilities for cluster-level slums proxy, explaining 82% to 96% of the variation in ground-truth surveys conducted in Global South countries, with root mean squared error ranging from 4.85% to 10.47%. The models perform match or surpass benchmarks established by previous studies.</span><span> </span><span>Cross-comparison with independent data sources at multi-scales suggest that our approach can yield reliable and consistent slum population estimates.</span></p>
Intragenerational Social Mobility and Preventive Behaviors regarding COVID-19: A Case Study of the Slum and Non-Slum Peoples in Dhaka City
<p>Social Mobility and Preventive Behaviors regarding COVID-19 among the Slum and Non-Slum Peoples in Dhaka City</p>
Sanitation Demand Creation in Peri-Urban Slums of Lusaka, Zambia
ClinicalTrials.gov study NCT03174015. IPD Sharing: YES. Countries: 1. Publications: 1.
Data from: Impact of involvement of non-formal health providers on TB case notification among migrant slum-dwelling populations in Odisha, India
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Data from: Social network analysis of psychological morbidity in an urban slum of Bangladesh: a cross-sectional study based on a community census
Background Social ties are believed to play important roles in mitigating depression and anxiety, as well as fostering mental health in the population. We test this association for young urban men in Bangladesh. Methods Using a locally adapted GHQ-12 instrument, we enumerate self-reported mental health outcomes for 824 post-adolescent young men between the ages of 18 and 29 in a low-income urban community in Dhaka, Bangladesh. We further measure the social network for all our subjects and estimate the association of social network of the respondents with self-reported mental health outcomes controlling for possible confounders. Results We find there are considerable variations in both the mental health outcomes and social network across respondents. The GHQ scores (mean = 9.2, SD = 4.9) suggest significant psychological morbidity among the respondents. However, our findings imply better social ties and connections can potentially mitigate negative mental health outcomes (0.05-0.65 lower standardized GHQ score). Among other factors, being married and a recent migrant are also associated with better mental health status (0.17-0.20 and 0.16-0.17 lower standardized GHQ scores respectively). Conclusion Our results underscore the importance of social connection in providing buffer against stress and anxiety through psychosocial support from one's peer in a resource constraint urban setting. Our findings also suggest incorporating social network and ties in designing mental health policies and interventions.
Data from: Urban population genetics of slum-dwelling rats (Rattus norvegicus) in Salvador, Brazil
Throughout the developing world, urban centres with sprawling slum settlements are rapidly expanding and invading previously forested ecosystems. Slum communities are characterized by untended refuse, open sewers and overgrown vegetation, which promote rodent infestation. Norway rats (Rattus norvegicus) are reservoirs for epidemic transmission of many zoonotic pathogens of public health importance. Understanding the population ecology of R. norvegicus is essential to formulate effective rodent control strategies, as this knowledge aids estimation of the temporal stability and spatial connectivity of populations. We screened for genetic variation, characterized the population genetic structure and evaluated the extent and patterns of gene flow in the urban landscape using 17 microsatellite loci in 146 rats from nine sites in the city of Salvador, Brazil. These sites were divided between three neighbourhoods within the city spaced an average of 2.7 km apart. Surprisingly, we detected very little relatedness among animals trapped at the same site and found high levels of genetic diversity, as well as structuring across small geographical distances. Most FST comparisons among sites were statistically significant, including sites <400 m apart. Bayesian analyses grouped the samples in three genetic clusters, each associated with distinct sampling sites from different neighbourhoods or valleys within neighbourhoods. These data indicate the existence of complex genetic structure in R. norvegicus in Salvador, linked to the heterogeneous urban landscape. Future rodent control measures need to take into account the spatial and temporal linkage of rat populations in Salvador, as revealed by genetic data, to develop informed eradication strategies.
Lifestyle Modification for Weight Reduction With Peer Support Among Adults in an Urban Slum of Karachi, Pakistan
ClinicalTrials.gov study NCT05928338. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Study to Test the Impact of an Improved Chulha on Respiratory Health of Women and Children in Indian Slums
ClinicalTrials.gov study NCT02821650. IPD Sharing: NO. Countries: 1. Publications: 1.
Effectiveness of Educational Intervention on Footcare Among Individuals Having Type 2 Diabetes at Slums of Karachi, Pakistan.
ClinicalTrials.gov study NCT06358846. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Nutri-CAP: Nutrition for Children, Adolescent Girls, and Pregnant Women in Slums of Dhaka City
ClinicalTrials.gov study NCT05311436. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Multiple paternity in the Norway rat, Rattus norvegicus, from urban slums in Salvador, Brazil
Open the record for dataset details and reuse information.
Data from: Social network analysis of psychological morbidity in an urban slum of Bangladesh: a cross-sectional study based on a community census
Open the record for dataset details and reuse information.
Data from: Urban population genetics of slum-dwelling rats (Rattus norvegicus) in Salvador, Brazil
Open the record for dataset details and reuse information.
Improving safe motherhood and neonatal care in urban slums of Bangladesh
<p>Data set</p>
Building the city: from slums to a modern metropolis
<p>This replication package contains the data and code necessary to reproduce the results in the paper “Building the City: from slums to a modern metropolis”, as well as, a readme file that gives instructions on how to use the code and access the data. </p> <p> </p>
Feasibility of a Youth-led NCD Risk Reduction Initiative in Selected Schools of Slums in Karachi, Pakistan: a Mixed-methods, pre-and Post-intervention Study
ClinicalTrials.gov study NCT06465771. IPD Sharing: Not stated. Countries: 0. Publications: 1.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.