Infection of Oesophagostomum columbianum in Small ruminants of the Nigerian Sahel Region and its Economic Importance

Nigerian Veterinary Journal, Vol. 32(3): 2011; 162 - 16

Maternal and child health interventions in Nigeria: a systematic review of published studies from 1990 to 2014

BACKGROUND: Poor maternal and child health indicators have been reported in Nigeria since the 1990s. Many interventions have been instituted to reverse the trend and ensure that Nigeria is on track to achieve the Millennium Development Goals. This systematic review aims at describing and indirectly measuring the effect of the Maternal, Newborn, and Child Health (MNCH) interventions implemented in Nigeria from 1990 to 2014. METHODS: PubMed and ISI Web of Knowledge were searched from 1990 to April 2014 whereas POPLINE® was searched until 16 February 2015 to identify reports of interventions targeting Maternal, Newborn, and Child Health in Nigeria. Narrative and graphical synthesis was done by integrating the results of extracted studies with trends of maternal mortality ratio (MMR) and under five mortality (U5MR) derived from a joint point regression analysis using Nigeria Demographic and Health Survey data (1990-2013). This was supplemented by document analysis of policies, guidelines and strategies of the Federal Ministry of Health developed for Nigeria during the same period. RESULTS: We identified 66 eligible studies from 2,662 studies. Three interventions were deployed nationwide and the remainder at the regional level. Multiple study designs were employed in the enrolled studies: pre- and post-intervention or quasi-experimental (n = 40; 61%); clinical trials (n = 6;9%); cohort study or longitudinal evaluation (n = 3;5%); process/output/outcome evaluation (n = 17;26%). The national MMR shows a consistent reduction (Annual Percentage Change (APC) = -3.10%, 95% CI: -5.20 to -1.00 %) with marked decrease in the slope observed in the period with a cluster of published studies (2004-2014). Fifteen intervention studies specifically targeting under-five children were published during the 24 years of observation. A statistically insignificant downward trend in the U5MR was observed (APC = -1.25%, 95% CI: -4.70 to 2.40%) coinciding with publication of most of the studies and development of MNCH policies. CONCLUSIONS: The development of MNCH policies, implementation and publication of interventions corresponds with the downward trend of maternal and child mortality in Nigeria. This systematic review has also shown that more MNCH intervention research and publications of findings is required to generate local and relevant evidence

alan-turing-institute/MLJ.jl: v0.19.4

MLJ v0.19.4 <p><a href="https://github.com/alan-turing-institute/MLJ.jl/compare/v0.19.3...v0.19.4">Diff since v0.19.3</a></p> <p><strong>Merged pull requests:</strong></p> <ul> <li>Updating MLJBase.jl dep to last version (#1037) (@pebeto)</li> </ul&gt

alan-turing-institute/MLJ.jl: v0.20.1

MLJ v0.20.1 Diff since v0.20.0 (new feature) Add the BalancedModel wrapper from MLJBalancing.jl (#1064) (docs) Add the over/undersampling models from Imbalance.jl to the Model Browser (#1064) Merged pull requests: Add MLJBalancing to MLJ and add class imbalance docs (#1064) (@ablaom) For a 0.20.1 release (#1065) (@ablaom) Closed issues: Oversampling and undersampling (#661) [Tracking] Migration of measures MLJBase.jl -> StatisticalMeasures.jl (#1053) Include MLJBalancing.jl in MLJ and re-export it's names. (#1062) Update docs for new class imbalance support (#1063

alan-turing-institute/MLJ.jl: v0.19.5

MLJ v0.19.5 <p><a href="https://github.com/alan-turing-institute/MLJ.jl/compare/v0.19.4...v0.19.5">Diff since v0.19.4</a></p> <ul> <li>Correct problem with previous version in which some methods were not exported, namely: <code>source</code>, <code>node</code>, <code>fit!</code>, <code>freeze!</code>, <code>thaw!</code>, <code>Node</code>, <code>sources</code>, <code>origins</code> (#1043) @pebeto</li> </ul> <p><strong>Closed issues:</strong></p> <ul> <li>Is the Averager documentation deprecated? (#1039)</li> </ul> <p><strong>Merged pull requests:</strong></p> <ul> <li>Adding necessary exports (#1043) (@pebeto)</li> <li>For a 0.19.5 release (#1044) (@ablaom)</li> </ul&gt

alan-turing-institute/MLJ.jl: v0.19.3

MLJ v0.19.3 <p><a href="https://github.com/alan-turing-institute/MLJ.jl/compare/v0.19.2...v0.19.3">Diff since v0.19.2</a></p> <p><strong>Closed issues:</strong></p> <ul> <li>SymbolicRegression.jl — registry update (#1032)</li> </ul> <p><strong>Merged pull requests:</strong></p> <ul> <li>feat: Update ROADMAP.md be more understandable (#1031) (@MelihDarcanxyz)</li> <li>add sirus.jl and symbolicregression.jl models to model browser (#1033) (@OkonSamuel)</li> <li>Add MLJFlow for integration with MLflow logging platform (#1034) (@ablaom)</li> </ul&gt

alan-turing-institute/MLJ.jl: v0.20.0

MLJ v0.20.0 Diff since v0.19.5 (breaking) Adapt to the migration of measures from MLJBase.jl to StatisticalMeasures.jl (#1054). See the MLJBase 1.0 migration guide for details. Merged pull requests: CI: fix the YAML syntax for the docs job, and thus properly surface any docbuild failures (#1046) (@DilumAluthge) Update docs (#1048) (@ablaom) Try again to generate the documentation (#1049) (@ablaom) docs/make.jl: set devbranch to master, which means that the docs will be deployed for pushes to `master (#1051) (@DilumAluthge) Try to deploy docs again x 3 (#1052) (@ablaom) Adapt to migration of measures MLJBase.jl -> StatisticalMeasures.jl (#1054) (@ablaom) For a 0.20 release (#1060) (@ablaom) Closed issues: Julia crashes when fitting a SVC (#1030) Update deprecated document example in "Transformers ..." section of manual (#1040) fit! not exported in 0.19.3/0.19.4? (#1041) Doc generation is failing silently (#1045

alan-turing-institute/MLJ.jl: v0.10.1

MLJ v0.10.1 <p><a href="https://github.com/alan-turing-institute/MLJ.jl/compare/v0.10.0...v0.10.1">Diff since v0.10.0</a></p> <p>(<strong>enhancement</strong>) Add serialization for machines. Serialization is model-specific, with a fallback implementation using JLSO. The user serializes with <code>MLJBase.save(path, mach)</code> and de-serializes with <code>machine(path)</code> (#138, #292)</p> <p><strong>Closed issues:</strong></p> <ul> <li>Adhere by Invenia's bluestyle (#434)</li> <li>Update list of scikitlearn models in readme table. (#469)</li> </ul> <p><strong>Merged pull requests:</strong></p> <ul> <li>updated list of ScikitLearn models in Readme (#472) (@OkonSamuel)</li> <li>For a 0.10.1 release (#473) (@ablaom)</li> </ul&gt