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Lessons from modelling COVID-19 scenarios in Kenya and implications for policy and planning

The papers shared lessons from modelling the spread of COVID-19 waves in selected countries across the world since April 2020, but with a particular emphasis on the case of Kenya. Statistical modelling has been justified for policy and planning purposes within 10% error margins, given the data abundance arising from country reports.

Nashon Adero | October 21, 2021

Yes

Land use/land cover classification for the iron ore mining site of Kishushe, Kenya: a feasibility study of traditional and machine learning algorithms

The research applied GIS and Remote Sensing techniques to evaluate the most effective classification methods for characterising land use and land cover changes in an active mining region in Kenya. The specific site was a large-scale mining site for iron ore in Taita Taveta County. Machine learning algorithms were found to be the most effective.

Nashon Adero | October 21, 2021

Yes