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  • 1
    UID:
    gbv_102216483X
    Format: 1 Online-Ressource (circa 30 Seiten) , Illustrationen
    Series Statement: Policy research working paper 8357
    Content: The paper presents the development and implementation of a geo-spatial model for mapping populations' access to specified types of water and sanitation services in Nigeria. The analysis uses geo-located, population-representative data from the National Water and Sanitation Survey 2015, along with relevant geo-spatial covariates. The model generates predictions for levels of access to seven indicators of water and sanitation services across Nigeria at a resolution of 1x1 square kilometers. The predictions promise to hone the targeting of policies meant to improve access to basic services in various regions of the country
    Additional Edition: Erscheint auch als Druck-Ausgabe Andres, Luis A Geo-Spatial Modeling of Access to Water and Sanitation in Nigeria Washington, D.C : The World Bank, 2018
    Language: English
    Keywords: Graue Literatur
    URL: Volltext  (Deutschlandweit zugänglich)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    gbv_1665308338
    Format: 1 Online-Ressource (circa 18 Seiten) , Illustrationen
    Series Statement: Policy research working paper 8688
    Content: Tanzania is home to the third highest population of stunted children in Sub-Saharan Africa, with about 2.7 million children under the age of five failing to reach their full potential of growth attainment compared with the reference population as per the World Health Organization standards. Several studies have shown that stunted growth during childhood entraps the future of children in a vicious circle of recurrent diseases, reduced human development, and lower earnings, thus increasing their likelihood of being poor when they grow up. To reduce stunting, the Government of Tanzania and development partners are introducing a convergence of multisectoral interventions adapted to local needs. However, the existing stunting data are representative only at higher administrative levels, thus making it difficult to implement these efforts. The paper uses the 2016 geo-referenced Demographic and Health Survey in conjunction with relevant spatially gridded covariate data, such as nighttime lights, water and sanitation access, vegetation index, travel time, and so on. Geospatial techniques, such as model-based statistics and Bayesian inference implemented using the INLA algorithm, along with appropriate model validation exercises are employed to develop high-resolution maps of stunting in Tanzania at 1x1-kilometer spatial resolution. The maps show that areas of consistently high stunting rates tend to be more common in rural parts of the country, especially throughout the western and southwestern border areas. There is high prevalence of low stunting in the urban areas around Dar es Salaam, Arusha, and Dodoma, as well as in the south of Lake Victoria
    Additional Edition: Erscheint auch als Druck-Ausgabe Josepha, George Understanding the Geographical Distribution of Stunting in Tanzania: A Geospatial Analysis of the 2015-16 Demographic and Health Survey Washington, D.C : The World Bank, 2019
    Language: English
    Keywords: Graue Literatur
    URL: Volltext  (lizenzpflichtig)
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  • 3
    UID:
    gbv_185321020X
    Format: 1 Online-Ressource (34 pages)
    Content: Urbanization combined with climate change are exacerbating water scarcity for an increasing number of the world's emerging cities. Water and sanitation infrastructure, which in the first place was largely built to cater only to a small subsector of developing city populations during colonial times, are increasingly coming under excessive strain. In the rapidly growing cities of the developing world, expansion does not always keep pace with population demand, leading to waterborne diseases, such as cholera (Vibrio cholerae) and typhoid (Salmonella serotype Typhi). Funding gaps therefore make targeting for efficient spending on infrastructure upgrades essential for reducing the burden of disease. This paper applies geospatial analysis in Lusaka, Zambia, in the context of the cholera outbreak of October 2017 to May 2018, to identify different water and sanitation infrastructure investment scenarios and their relative impact on reducing the risk of cholera in the city. The analysis presented uses cholera case location data and geospatial covariates, including the location of and access to networked and non-networked Water and sanitation infrastructure, groundwater vulnerability, and drainage, to generate a high-resolution map of cholera risk across the city. The analysis presents scenarios of standalone or combined investments across sewerage coverage and maintenance, on-site sanitation improvements, piped water network coverage and quality, and ensuring the safety of point source water. It identifies the investment most strongly correlated with the largest reduction in cholera risk as the provision of flush to sewer infrastructure citywide. However, it also considers the trade-offs in terms of financial cost versus health benefits and takes note of where the next highest health benefits could be achieved for a much lower cost. Finally, the analysis was done in the context of a considered restructuring of an existing World Bank investment, the Lusaka Sanitation Program. It identifies what appears to be the most efficient combined initiative as partial sanitation investment scale-up and investment in piped water in 10 priority wards where the cholera risk was highest
    Additional Edition: Erscheint auch als Druck-Ausgabe Gething, Peter W Cholera Risk in Lusaka: A Geospatial Analysis to Inform Improved Water and Sanitation Provision Washington, D.C. : The World Bank, 2023
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    b3kat_BV048274159
    Format: 1 Online-Ressource (18 Seiten)
    Series Statement: World Bank E-Library Archive
    Content: Tanzania is home to the third highest population of stunted children in Sub-Saharan Africa, with about 2.7 million children under the age of five failing to reach their full potential of growth attainment compared with the reference population as per the World Health Organization standards. Several studies have shown that stunted growth during childhood entraps the future of children in a vicious circle of recurrent diseases, reduced human development, and lower earnings, thus increasing their likelihood of being poor when they grow up. To reduce stunting, the Government of Tanzania and development partners are introducing a convergence of multisectoral interventions adapted to local needs. However, the existing stunting data are representative only at higher administrative levels, thus making it difficult to implement these efforts. The paper uses the 2016 geo-referenced Demographic and Health Survey in conjunction with relevant spatially gridded covariate data, such as nighttime lights, water and sanitation access, vegetation index, travel time, and so on. Geospatial techniques, such as model-based statistics and Bayesian inference implemented using the INLA algorithm, along with appropriate model validation exercises are employed to develop high-resolution maps of stunting in Tanzania at 1x1-kilometer spatial resolution. The maps show that areas of consistently high stunting rates tend to be more common in rural parts of the country, especially throughout the western and southwestern border areas. There is high prevalence of low stunting in the urban areas around Dar es Salaam, Arusha, and Dodoma, as well as in the south of Lake Victoria
    Additional Edition: Erscheint auch als Druck-Ausgabe Josepha, George Understanding the Geographical Distribution of Stunting in Tanzania: A Geospatial Analysis of the 2015-16 Demographic and Health Survey Washington, D.C : The World Bank, 2019
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    b3kat_BV048273866
    Format: 1 Online-Ressource (30 Seiten)
    Series Statement: World Bank E-Library Archive
    Content: The paper presents the development and implementation of a geo-spatial model for mapping populations' access to specified types of water and sanitation services in Nigeria. The analysis uses geo-located, population-representative data from the National Water and Sanitation Survey 2015, along with relevant geo-spatial covariates. The model generates predictions for levels of access to seven indicators of water and sanitation services across Nigeria at a resolution of 1x1 square kilometers. The predictions promise to hone the targeting of policies meant to improve access to basic services in various regions of the country
    Additional Edition: Erscheint auch als Druck-Ausgabe Andres, Luis A Geo-Spatial Modeling of Access to Water and Sanitation in Nigeria Washington, D.C : The World Bank, 2018
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    UID:
    gbv_1759630608
    Format: 1 Online-Ressource
    Series Statement: Policy Research Working Paper No. 8688
    Content: Tanzania is home to the third highest population of stunted children in Sub-Saharan Africa, with about 2.7 million children under the age of five failing to reach their full potential of growth attainment compared with the reference population as per the World Health Organization standards. Several studies have shown that stunted growth during childhood entraps the future of children in a vicious circle of recurrent diseases, reduced human development, and lower earnings, thus increasing their likelihood of being poor when they grow up. To reduce stunting, the Government of Tanzania and development partners are introducing a convergence of multisectoral interventions adapted to local needs. However, the existing stunting data are representative only at higher administrative levels, thus making it difficult to implement these efforts. The paper uses the 2016 geo-referenced Demographic and Health Survey in conjunction with relevant spatially gridded covariate data, such as nighttime lights, water and sanitation access, vegetation index, travel time, and so on. Geospatial techniques, such as model-based statistics and Bayesian inference implemented using the INLA algorithm, along with appropriate model validation exercises are employed to develop high-resolution maps of stunting in Tanzania at 1×1-kilometer spatial resolution. The maps show that areas of consistently high stunting rates tend to be more common in rural parts of the country, especially throughout the western and southwestern border areas. There is high prevalence of low stunting in the urban areas around Dar es Salaam, Arusha, and Dodoma, as well as in the south of Lake Victoria
    Note: Africa , Tanzania , English
    Language: Undetermined
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    UID:
    gbv_1759635758
    Format: 1 Online-Ressource
    Series Statement: Policy Research Working Paper No. 8357
    Content: The paper presents the development and implementation of a geo-spatial model for mapping populations' access to specified types of water and sanitation services in Nigeria. The analysis uses geo-located, population-representative data from the National Water and Sanitation Survey 2015, along with relevant geo-spatial covariates. The model generates predictions for levels of access to seven indicators of water and sanitation services across Nigeria at a resolution of 1×1 square kilometers. The predictions promise to hone the targeting of policies meant to improve access to basic services in various regions of the country
    Note: Africa , Nigeria , English
    Language: Undetermined
    Library Location Call Number Volume/Issue/Year Availability
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