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Hierarchical Clustering to Determine the Toxicity Levels of Factory Workers

Author:

G. A. Dawodu

Federal University of Agriculture, Abeokuta (FUNAAB.), Ogun State, NG
About G. A.
Department of Statistics, College of Physical Sciences (COLPHYS)
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Abstract

Miners, explorers, energy station workers, artisans, factory workers, school pupils and even mere roadside pedestrians and hawkers are exposed to one harmful chemical element or the other. These may be solid, liquid or gaseous in their natural states. A prudent individual will obviously want to determine the pollutants he/she is often exposed to in the course of executing his/her routine daily activities and check, amongst other things, his/her degree of exposure, the resultant toxicity level and consequently determine ameliorative measures that will help reduce the pollution before it causes serious ailments. This work purports to provide a very cheap and simple procedure (i.e. before or after the placement of safety gargets) that can be used to monitor toxicity levels of individual factory workers with a view to determining those (i.e. the highest toxicity level cluster) workers that the company must provide additional intensive medical care for now or even retire before things get even worst (i.e. their toxicity levels become lethal). A data on Artisans or factory workers is used to demonstrate the functionality of the technique as well as its simplicity.
How to Cite: Dawodu, G.A., 2019. Hierarchical Clustering to Determine the Toxicity Levels of Factory Workers. Sri Lankan Journal of Applied Statistics, 20(1), pp.20–27. DOI: http://doi.org/10.4038/sljastats.v20i1.8004
Published on 10 Dec 2019.
Peer Reviewed

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