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Selection: with tag kenya [7 articles] 

 

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 18

  
(February 2014)
Keywords: inrmm-list-of-tags   intsia-palembanica   invariance   invasion   invasive-pathogens   invasive-plant   invasive-species   inventories   invertebrates   invisible-hand-myth   ipcc   ipcc-scenarios   ipcc-tier-1   ips-acuminatus   ips-cembrae   ips-confusus   ips-duplicatus   ips-paraconfusus   ips-pini   ips-sexdentatus   ips-spp   ips-subelongatus   ips-typographus   iran   iraq   ireland   iron   irreversibility   irvingia-gabonensis   islands   iso   isochrone   isoenzyme   isolation   isolation-by-distance   isolation-frequency   isoprene   isozyme-analysis   isozyme-variation   isozymes   israel   italian-alps   italy   iucn   iucn-critically-endangered-cr   iucn-data-deficient-dd   iucn-endangered-en   iucn-extinct-in-the-wild-ew   iucn-least-concern-lc   iucn-lower-risk-least-concern-lrlc   iucn-lower-risk-near-threatened-lrnt   iucn-near-threatened-nt   iucn-vulnerable-vu   iverson-bracket   janus-abbreviatus   japan   jatropha-curcas   joint-research-centre   journal-ranking   jubaea-chilensis   juglans-jamaicensis   juglans-mandshurica   juglans-nigra   juglans-regia   juglans-spp   juniper-wood   juniperus-californica   juniperus-cedrus   juniperus-communis   juniperus-deppeana   juniperus-drupacea   juniperus-excelsa   juniperus-foetidissima   juniperus-monosperma   juniperus-occidentalis   juniperus-osteosperma   juniperus-oxycedrus   juniperus-phoenicea   juniperus-rigida   juniperus-silicicola   juniperus-spp   juniperus-thurifera   kalmia-latifolia   kalopanax-septemlobus   kappa   kazdaglari   kenya   kk10   knn-distance   knowledge-engineering   knowledge-freedom   knowledge-integration   knowledge-management   kolkwitzia-amabilis   koompassia-excelsa   kosovo   la-nina   laburnum-alpinum   laburnum-anagyroides  

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 ). ...

 

Soil erosion prediction using RUSLE for central Kenyan highland conditions

  
Agriculture, Ecosystems & Environment, Vol. 97, No. 1-3. (July 2003), pp. 295-308, https://doi.org/10.1016/s0167-8809(03)00011-2
Keywords: africa   kenya   rusle   soil-erosion   soil-resources  

Abstract

Soil erosion by water is serious global problem. In Africa, about 5 Mg ha−1 of productive topsoil is lost to lakes and oceans each year. This study was conducted at the Kianjuki catchment in central Kenya to predict annual soil loss using the Revised Universal Soil Loss Equation (RUSLE Version 1.06) to determine the erosion hazard in the area and target locations for appropriate initiation of conservation measures. All factors used in RUSLE were calculated for the catchment using local data. The rainfall ...

 

Estimation of potential soil erosion for river Perkerra catchment in Kenya

  
Water Resources Management In Water Resources Management, Vol. 19, No. 2. (April 2005), pp. 133-143, https://doi.org/10.1007/s11269-005-2706-5

Abstract

River Perkerra catchment with an area of 1207 km2 is drained by River Perkerra, which is one of the rivers flowing into Lake Baringo whose drainage area is 6820 km2. The lake is in a semi-arid area of Kenya. Its depth has reduced from 8 m in 1972 to 2.5 m in 2003 due to siltation resulting from high erosion rates in the catchment. The entire catchment is characterised by very steep slopes on the hillsides and gentle slopes in the ...

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

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:
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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.