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  • 1
    Online Resource
    Online Resource
    Using Mobile Data to Understand Urban Mobility Patterns in Freetown, Sierra Leone / (2021)
    Washington, D.C. :The World Bank,
    Details
    UID:
    almafu_9959780148602883
    Format: 1 online resource (24 pages)
    Series Statement: Policy research working papers.
    Content: In recent years, researchers have demonstrated that digital footprints from mobile phones can be exploited to generate data that are useful for transport planning, disaster response, and other development activities'thanks mainly to the high penetration rate of mobile phones even in low-income regions. Most recently, in the effort to mitigate the spread of COVID-19, these data can be used and explored to track mobility patterns and monitor the results of lockdown measures. However, as rightly noted by other scholars, most of the work has been limited to proofs of concept or academic work: it is hard to point to any real-world use cases. In contrast, this paper uses mobile data to obtain insight on urban mobility patterns, such as number of trips, average trip length, and relation between poverty, mobility, and areas of Freetown, the capital of Sierra Leone. These data were used in preparation of an urban mobility lending operation. Additionally, the paper describes good practices in the following areas: accessing mobile data from telecom operators, frameworks for generating origin and destination matrices, and validation of results.
    Language: English
    DOI: 10.1596/1813-9450-9519
    URL: Deutschlandweit zugänglich
    URL: Volltext  (kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Fulltext
    FU Berlin
    UB Potsdam
    EUV Frankfurt
    HTW Berlin
    Charité
    MPI Bildungsforschung
  • 2
    Online Resource
    Online Resource
    Malnourished but not Destitute : The Spatial Interplay between Nutrition and Poverty in Madagascar (2023)
    Washington, D.C : The World Bank
    Details
    UID:
    gbv_1878011022
    Format: 1 Online-Ressource (24 pages)
    Content: Hidden hunger, or micronutrient deficiencies, is a serious public health issue affecting approximately 2 billion people worldwide. Identifying areas with high prevalence of hidden hunger is crucial for targeted interventions and effective resource allocation. However, conventional methods such as nutritional assessments and dietary surveys are expensive and time-consuming, rendering them unsustainable for developing countries. This study proposes an alternative approach to estimating the prevalence of hidden hunger at the commune level in Madagascar by combining data from the household budget survey and the Demographic and Health Survey. The study employs small area estimation techniques to borrow strength from the recent census and produce precise and accurate estimates at the lowest administrative level. The findings reveal that 17.9 percent of stunted children reside in non-poor households, highlighting the ineffectiveness of using poverty levels as a targeting tool for identifying stunted children. The findings also show that 21.3 percent of non-stunted children live in impoverished households, reinforcing Sen's argument that malnutrition is not solely a product of destitution. These findings emphasize the need for tailored food security interventions designed for specific geographical areas with clustered needs rather than employing uniform nutrition policies. The study concludes by outlining policies that are appropriate for addressing various categories of hidden hunger
    Additional Edition: Erscheint auch als Druck-Ausgabe Matekenya, Dunstan Malnourished but not Destitute: The Spatial Interplay between Nutrition and Poverty in Madagascar Washington, D.C. : The World Bank, 2023
    Language: English
    DOI: 10.1596/1813-9450-10627
    URL: Deutschlandweit zugänglich
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Open Access Request
    UB Potsdam
    MPI Bildungsforschung
  • 3
    Online Resource
    Online Resource
    Using Mobile Data to Understand Urban Mobility Patterns in Freetown, Sierra Leone / (2021)
    Washington, D.C. :The World Bank,
    Details
    UID:
    edocfu_9959780148602883
    Format: 1 online resource (24 pages)
    Series Statement: Policy research working papers.
    Content: In recent years, researchers have demonstrated that digital footprints from mobile phones can be exploited to generate data that are useful for transport planning, disaster response, and other development activities'thanks mainly to the high penetration rate of mobile phones even in low-income regions. Most recently, in the effort to mitigate the spread of COVID-19, these data can be used and explored to track mobility patterns and monitor the results of lockdown measures. However, as rightly noted by other scholars, most of the work has been limited to proofs of concept or academic work: it is hard to point to any real-world use cases. In contrast, this paper uses mobile data to obtain insight on urban mobility patterns, such as number of trips, average trip length, and relation between poverty, mobility, and areas of Freetown, the capital of Sierra Leone. These data were used in preparation of an urban mobility lending operation. Additionally, the paper describes good practices in the following areas: accessing mobile data from telecom operators, frameworks for generating origin and destination matrices, and validation of results.
    Language: English
    DOI: 10.1596/1813-9450-9519
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Open Access Request
    FU Berlin
  • 4
    Online Resource
    Online Resource
    Using Mobile Data to Understand Urban Mobility Patterns in Freetown, Sierra Leone / (2021)
    Washington, D.C. :The World Bank,
    Details
    UID:
    edoccha_9959780148602883
    Format: 1 online resource (24 pages)
    Series Statement: Policy research working papers.
    Content: In recent years, researchers have demonstrated that digital footprints from mobile phones can be exploited to generate data that are useful for transport planning, disaster response, and other development activities'thanks mainly to the high penetration rate of mobile phones even in low-income regions. Most recently, in the effort to mitigate the spread of COVID-19, these data can be used and explored to track mobility patterns and monitor the results of lockdown measures. However, as rightly noted by other scholars, most of the work has been limited to proofs of concept or academic work: it is hard to point to any real-world use cases. In contrast, this paper uses mobile data to obtain insight on urban mobility patterns, such as number of trips, average trip length, and relation between poverty, mobility, and areas of Freetown, the capital of Sierra Leone. These data were used in preparation of an urban mobility lending operation. Additionally, the paper describes good practices in the following areas: accessing mobile data from telecom operators, frameworks for generating origin and destination matrices, and validation of results.
    Language: English
    DOI: 10.1596/1813-9450-9519
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Open Access Request
    Charité
  • 5
    Online Resource
    Online Resource
    Using Mobile Data to Understand Urban Mobility Patterns in Freetown, Sierra Leone (2021)
    World Bank, Washington, DC
    Details
    UID:
    gbv_1759618276
    Format: 1 Online-Ressource
    Series Statement: Policy Research Working Paper No. 9519
    Content: In recent years, researchers have demonstrated that digital footprints from mobile phones can be exploited to generate data that are useful for transport planning, disaster response, and other development activities—thanks mainly to the high penetration rate of mobile phones even in low-income regions. Most recently, in the effort to mitigate the spread of COVID-19, these data can be used and explored to track mobility patterns and monitor the results of lockdown measures. However, as rightly noted by other scholars, most of the work has been limited to proofs of concept or academic work: it is hard to point to any real-world use cases. In contrast, this paper uses mobile data to obtain insight on urban mobility patterns, such as number of trips, average trip length, and relation between poverty, mobility, and areas of Freetown, the capital of Sierra Leone. These data were used in preparation of an urban mobility lending operation. Additionally, the paper describes good practices in the following areas: accessing mobile data from telecom operators, frameworks for generating origin and destination matrices, and validation of results
    Note: Africa , Africa Western and Central (AFW) , Sierra Leone , English
    Language: English
    URL: kostenfrei
    URL: kostenfrei
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Stabi Berlin
  • 6
    Online Resource
    Online Resource
    Malnourished but Not Destitute (2023)
    World Bank, Washington, DC
    Details
    UID:
    gbv_1892378256
    Format: 1 Online-Ressource
    Series Statement: Policy Research Working Papers 10627
    Content: Hidden hunger, or micronutrient deficiencies, is a serious public health issue affecting approximately 2 billion people worldwide. Identifying areas with high prevalence of hidden hunger is crucial for targeted interventions and effective resource allocation. However, conventional methods such as nutritional assessments and dietary surveys are expensive and time-consuming, rendering them unsustainable for developing countries. This study proposes an alternative approach to estimating the prevalence of hidden hunger at the commune level in Madagascar by combining data from the household budget survey and the Demographic and Health Survey. The study employs small area estimation techniques to borrow strength from the recent census and produce precise and accurate estimates at the lowest administrative level. The findings reveal that 17.9 percent of stunted children reside in non-poor households, highlighting the ineffectiveness of using poverty levels as a targeting tool for identifying stunted children. The findings also show that 21.3 percent of non-stunted children live in impoverished households, reinforcing Sen's argument that malnutrition is not solely a product of destitution. These findings emphasize the need for tailored food security interventions designed for specific geographical areas with clustered needs rather than employing uniform nutrition policies. The study concludes by outlining policies that are appropriate for addressing various categories of hidden hunger
    Note: English , en
    Language: English
    URL: kostenfrei
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Stabi Berlin
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