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Selection: with tag stunting [6 articles] 

 

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
 

Assessing comorbidity and correlates of wasting and stunting among children in Somalia using cross-sectional household surveys: 2007 to 2010

  
BMJ Open, Vol. 6, No. 3. (09 March 2016), e009854, https://doi.org/10.1136/bmjopen-2015-009854

Abstract

[Objective] Wasting and stunting may occur together at the individual child level; however, their shared geographic distribution and correlates remain unexplored. Understanding shared and separate correlates may inform interventions. We aimed to assess the spatial codistribution of wasting, stunting and underweight and investigate their shared correlates among children aged 6–59 months in Somalia. [Setting] Cross-sectional nutritional assessments surveys were conducted using structured interviews among communities in Somalia biannually from 2007 to 2010. A two-stage cluster sampling methodology was used to select children aged ...

 

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 39

  
(February 2014)
Keywords: inrmm-list-of-tags   stakeholder-and-community-participation   stand-composition   stand-density   stand-structure   standard   standardized-precipitation-evapotranspiration-index   standardized-precipitation-index   staphylea-colchica   staphylea-pinnata   staphylococcus-aureus   state-shift   stationarity   statistical-downscaling   statistics   stegophora-ulmea   stem-canker   stem-rot   stem-rust   stepping-stones   sterculia-foetida   sterculia-urens   sterilization   sternochetus-mangiferae   stigmella-spp   stochastic-dynamic-programming   stochastic-state-transition   stomatal-conductance   stone-weierstrass-theorem   stoniness   storage   storm   storm-intensity   strategy   strategy-vs-tactic   stratification   string-instrument   strix-uralensis   strobus   strom   strophosoma-melanogrammus   structure   stryphnodendron-microstachyum   stunting   subalpine   subalpine-belt   subtropical-areas   subtropical-climate   subtropical-forest   subtropical-forests   subtropical-mountain-system   succession   succession-pathways   sudden-changes   sudden-oak-death   sudden-transition   sudden-transitions   sulphates   sulphur   sumava-national-park   sun   super-derecho   super-terminal-speed   supervised-training   supply-chain   support-vector-machines   supporting-services   surface-roughness   surprise   survey   survival   sus-scrofa   susceptibility   sustainability   sustainable-development   sustainable-forest   sustainable-forest-management   sustainable-forestry   sweden   swietenia-macrophylla   swiss   switzerland   syagrus-romanzoffiana   sycamore   symbiosis   symphoricarpos-albus   symphoricarpos-spp   symphytum-tauricum   symptoms   synanthropic-species   synergy   synonyms   syntax-vs-semantics   syntaxonomy   system   system-catastrophe   system-dynamics   system-engineering   system-of-systems   system-theory  

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/stunting

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.