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Selection: with tag nigeria [10 articles] 

 

Geostatistical tools to map the interaction between development aid and indices of need

  
No. 49. (2018)

Abstract

In order to meet and assess progress towards global sustainable development goals (SDGs), an improved understanding of geographic variation in population wellbeing indicators such as health status, wealth and access to resources is crucial, as the equitable and efficient allocation of international aid relies on knowing where funds are needed most. Unfortunately, in many low-income countries, detailed, reliable and timely information on the spatial distribution and characteristics of intended aid recipients are rarely available. Furthermore, lack of information on the past ...

 

Mapping the interaction between development aid and stunting in Nigeria

  
In 28th IUSSP International Population Conference (2017)

Abstract

For meeting sustainable development goals (SDGs) an improved understanding of geographic differences in health status, wealth and access to resources is crucial. The equitable and effcient allocation of international aid relies on knowing where funds are needed most. For instance, aid for poverty alleviation or financial access improvement requires knowledge of where the poor are. Unfortunately, detailed, reliable and timely information on the spatial distribution and characteristics of intended aid recipients in many low income countries are rarely available. This lack ...

References

  1. AidData, 2016. Nigeria AIMS geocoded research release, version 1.3.1. In: AidData Datasets. AidData, Williamsburg, VA and Washington, DC. http://aiddata.org/data/nigeria-aims-geocoded-research-release-level-1-v1-3-1 , http://aiddata.org/research-datasets , INRMM-MiD:14546755
  2. Alegana, V. A., Atkinson, P. M., Pezzulo, C., Sorichetta, A., Weiss, D., Bird, T., Erbach-Schoenberg, E., Tatem, A. J., 2015. Fine resolution mapping of population age-structures for health and development applications. Journal of The Royal Society Interface 12 (105), 20150073+. https://doi.org/10.1098/rsif.2015.0073 , INRMM-MiD:14546782
 

Nigeria demographic and health survey 2013

  
(2014)

Abstract

[Excerpt:: Foreword] Nigeria Demographic and Health Survey (NDHS) 2013 is the fourth survey of its kind to be implemented by the National Population Commission (NPC). As the agency charged with the responsibility of collecting, collating, and analysing demographic data, the Commission has been unrelenting in its efforts to provide reliable, accurate, and up-to-date data for the country. We hope that information contained in this report will assist policymakers and programme managers in monitoring and designing programmes and strategies for improving health and family planning services in Nigeria. ...

 

Nigeria demographic and health survey 2008

  
(2009)

Abstract

[Excerpt: Summary of findings] The 2008 Nigeria Demographic Health Survey (NDHS) is a nationally representative survey of 33,385 women age 15-49 and 15,486 men age 15-59. The 2008 NDHS is the fourth comprehensive survey conducted in Nigeria as part of the Demographic and Health Surveys (DHS) programme. The data are intended to furnish programme managers and policymakers with detailed information on levels and trends in fertility; nuptiality; sexual activity; fertility preferences; awareness and use of family planning methods; infants and young children feeding practices; nutritional status of mothers and young children; early childhood mortality and ...

 

Nigeria AIMS geocoded research release, version 1.3.1

  
In AidData Datasets (2016)
Keywords: data   development   funding   geospatial   nigeria   open-data  

Abstract

[Excerpt: Full description] This geocoded dataset release represents all projects in Nigeria's Development Assistance Database (DAD). It tracks 595 projects across 1843 locations between 1988 and 2014. Data for $2,116,331,293.00 in geocoded commitments and $6,093,125,384.00 in geocoded disbursements are contained within the dataset. The included "project.tsv," "locations.tsv," and "transactions.tsv" are structured so as to be combinable with other v1.0 geocoded dataset releases. All tables in the data folder can be joined by DAD project ids. This ...

 

Malaria prevalence metrics in low- and middle-income countries: an assessment of precision in nationally-representative surveys

  
Malaria Journal, Vol. 16 (21 November 2017), 475, https://doi.org/10.1186/s12936-017-2127-y

Abstract

[Background] One pillar to monitoring progress towards the Sustainable Development Goals is the investment in high quality data to strengthen the scientific basis for decision-making. At present, nationally-representative surveys are the main source of data for establishing a scientific evidence base, monitoring, and evaluation of health metrics. However, little is known about the optimal precisions of various population-level health and development indicators that remains unquantified in nationally-representative household surveys. Here, a retrospective analysis of the precision of prevalence from these surveys was ...

 

Mapping indicators of female welfare at high spatial resolution

  
(2017)

Abstract

Improved understanding of geographic variation and inequity in health status, wealth, and access to resources within countries is increasingly being recognized as central to meeting development goals. Development and health indicators assessed at national scales conceal important inequities, with the rural poor often least well represented. High-resolution data on key social and health indicators are fundamental for targeting limited resources, especially where development funding has recently come under increased pressure. Globally, around 80% of countries regularly produce sex-disaggregated statistics at a ...

References

  1. Alegana, V.A., Atkinson, P.M., Pezzulo, C., Sorichetta, A., Weiss, D., Bird, T., ErbachSchoenberg, E., Tatem, A.J., 2015. Fine resolution mapping of population age-structures for health and development applications. Journal of The Royal Society Interface 12 (105), 20150073+. https://doi.org/10.1098/rsif.2015.0073 .
  2. Banerjee, S., Gelfand, A.E., Polasek, W., 2000. Geostatistical modelling for spatial interaction data with application to postal service performance. Journal of statistical planning and inference 90(1), 87-105. https://doi.org/10.1016/S0378-3758(00)00111-7 .
 

Exploring the high-resolution mapping of gender-disaggregated development indicators

  
Journal of The Royal Society Interface, Vol. 14, No. 129. (05 April 2017), 20160825, https://doi.org/10.1098/rsif.2016.0825

Abstract

Improved understanding of geographical variation and inequity in health status, wealth and access to resources within countries is increasingly being recognized as central to meeting development goals. Development and health indicators assessed at national or subnational scale can often conceal important inequities, with the rural poor often least well represented. The ability to target limited resources is fundamental, especially in an international context where funding for health and development comes under pressure. This has recently prompted the exploration of the potential ...

 

Supplementary Information from Exploring the high-resolution mapping of gender disaggregated development indicators

  

Abstract

[Excerpt: Datasets] The Demographic and Health Surveys (DHS) is a program of national household surveys implemented across a large number of LMICs. The DHS Program collects and analyses data on population demographic and health characteristics through more than 300 surveys in over 90 countries. The gender-disaggregated data we investigated in this report come from DHS datasets. [\n] [...] [Models specification] [::Bayesian model specification] The Gaussian Function (GF) in INLA is represented as a Gaussian Markov Random Function (GMRF). Computations in INLA are carried out using the GMRF by approximating a ...

References

  1. Alegana, V.A., Atkinson, P.M., Pezzulo, C., Sorichetta, A., Weiss, D., Bird, T., ErbachSchoenberg, E., Tatem, A.J., 2015. Fine resolution mapping of population age-structures for health and development applications. Journal of The Royal Society Interface 12 (105), 20150073+. https://doi.org/10.1098/rsif.2015.0073 .
  2. Bosco, C., de Rigo, D., Dijkstra, T.A., Sander, G., Wasowski, J., 2013. Multi-scale robust modelling of landslide susceptibility: regional rapid assessment and catchment robust fuzzy ensemble. IFIP Advances in Information and Communication Technology
 

(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 26

  
(February 2014)
Keywords: inrmm-list-of-tags   nectaroscordum-siculum   nectria-coccinea   negative-emission   negative-emissions   negative-learning   negative-studies   neglecting-non-monetary-criteria   negotiation   neighbourhood-analysis   nematus-melanaspis   nematus-oligospilus   nemoral-climate   neocallitropsis-pancheri   neodiprion-sertifer   neofusicoccum-parvum   neogene   neonicotinoid   nepal   nephelium-lappaceum   nerium-oleander   nested-loops-and-conditional-structures   netherlands   network-representation-capability   networks   neural-networks   neuro-dynamic-programming   neuroterus-spp   new-forested-areas   new-species   new-zealand   niche-limits   niche-model   niche-modelling   niche-sourcing   nickel   nigeria   nitrogen   nitrogen-deposition   nitrogen-fixation   nitrogen-leaching   nitrogen-partitioning   no-analog-pattern   no-analogue   no-free-lunch-theorem   nolina-recurvata   non-array-oriented   non-equilibrium   non-linearity   non-semantic-software-errors   non-stationarity   non-wood-products   nonadditive-measures   nonideal-neurons   nonlinear-correlation   nonlinear-response-to-bioclimatic-predictors   nonmarket-impacts   nonsteady-flame-convection   north-africa   north-america   northern-europe   northern-hemisphere   norway   not-automatic-workflow   notation   notation-as-a-tool-of-thought   nothofagus-cunninghamii   nothofagus-glauca   nothofagus-nervosa   nothofagus-procera   nothofagus-pumilio   nothofagus-spp   notholithocarpus-densiflorus   nothotsuga-spp   nreap-2020   nuclear-disasters   numerical-analysis   numpy   nurse-species   nut-producing-plants   nutrient-gradient   nutrient-recommendations   nutrient-rich-soil   nutrients   nutritional-composition   nyssa-spp   nyssa-sylvatica   oak-decline   oak-hornbeam-forest   oak-shake   object-classification   object-detection   object-oriented-programming   occam-razor   occupancy-vs-detection   ocean-acidification   ocean-circulation   oceans   ochroma-pyramidale   oenothera-spp  

Abstract

List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( http://mfkp.org/INRMM/tag/inrmm-list-of-tags ). ...

This page of the database may be cited as:
Integrated Natural Resources Modelling and Management - Meta-information Database. http://mfkp.org/INRMM/tag/nigeria

Publication metadata

Bibtex, RIS, RSS/XML feed, Json, Dublin Core

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
Search only within the INRMM-MiD publication records:
Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.