Cholera is a deadly disease caused by consumption of either food or water that is contaminated with bacterium known as Vibro cholerae. In the 19th century, Cholera had spread across the globe from its original source in Ganges Delta, India. This research aimed to investigated the factors contributing to the spread of Cholera in Kenya from 2000 to 2022. The key objective was to fit a multiple linear regression model which aid in determining the goodness of fit as well as examining the relationship between different types of drinking water and spread of Cholera. Secondary data was obtained from United Nations International Children’s Emergency Fund (UNICEF) and World Health Organization (WHO). The results showed a strong positive linear relationship between Surface water and proportion of population affected by Cholera. 88% total variation in the proportion of population being affected by Cholera can be explained by the Unimproved Basic water (UBW), Surface water (SW) and Least Basic drinking water (LBW). Significantly this research encouraged the use of the least basic drinking water which clearly showed an inverse proportion to the proportion of population affected by Cholera. In addition to that, the researchers recommend improved access to clean water and create awareness on the dangers of using untreated water.
| Published in | International Journal of Data Science and Analysis (Volume 10, Issue 2) |
| DOI | 10.11648/j.ijdsa.20241002.12 |
| Page(s) | 33-40 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Cholera, Multiple Linear Regression, Coefficient of Determination, Correlation Coefficient
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APA Style
Okinyi, S., Karomo, J. N., Mbinya, N. D., Thoya, M. K. (2024). Multiple Linear Regression Analysis of Factors Contributing to the Spread of Cholera in Kenya from 2000 to 2022. International Journal of Data Science and Analysis, 10(2), 33-40. https://doi.org/10.11648/j.ijdsa.20241002.12
ACS Style
Okinyi, S.; Karomo, J. N.; Mbinya, N. D.; Thoya, M. K. Multiple Linear Regression Analysis of Factors Contributing to the Spread of Cholera in Kenya from 2000 to 2022. Int. J. Data Sci. Anal. 2024, 10(2), 33-40. doi: 10.11648/j.ijdsa.20241002.12
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Download@article{10.11648/j.ijdsa.20241002.12,
author = {Samuel Okinyi and Joseph Njuguna Karomo and Nzioka Dorcas Mbinya and Mohammed Kassim Thoya},
title = {Multiple Linear Regression Analysis of Factors Contributing to the Spread of Cholera in Kenya from 2000 to 2022},
journal = {International Journal of Data Science and Analysis},
volume = {10},
number = {2},
pages = {33-40},
doi = {10.11648/j.ijdsa.20241002.12},
url = {https://doi.org/10.11648/j.ijdsa.20241002.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20241002.12},
abstract = {Cholera is a deadly disease caused by consumption of either food or water that is contaminated with bacterium known as Vibro cholerae. In the 19th century, Cholera had spread across the globe from its original source in Ganges Delta, India. This research aimed to investigated the factors contributing to the spread of Cholera in Kenya from 2000 to 2022. The key objective was to fit a multiple linear regression model which aid in determining the goodness of fit as well as examining the relationship between different types of drinking water and spread of Cholera. Secondary data was obtained from United Nations International Children’s Emergency Fund (UNICEF) and World Health Organization (WHO). The results showed a strong positive linear relationship between Surface water and proportion of population affected by Cholera. 88% total variation in the proportion of population being affected by Cholera can be explained by the Unimproved Basic water (UBW), Surface water (SW) and Least Basic drinking water (LBW). Significantly this research encouraged the use of the least basic drinking water which clearly showed an inverse proportion to the proportion of population affected by Cholera. In addition to that, the researchers recommend improved access to clean water and create awareness on the dangers of using untreated water.},
year = {2024}
}
TY - JOUR T1 - Multiple Linear Regression Analysis of Factors Contributing to the Spread of Cholera in Kenya from 2000 to 2022 AU - Samuel Okinyi AU - Joseph Njuguna Karomo AU - Nzioka Dorcas Mbinya AU - Mohammed Kassim Thoya Y1 - 2024/06/19 PY - 2024 N1 - https://doi.org/10.11648/j.ijdsa.20241002.12 DO - 10.11648/j.ijdsa.20241002.12 T2 - International Journal of Data Science and Analysis JF - International Journal of Data Science and Analysis JO - International Journal of Data Science and Analysis SP - 33 EP - 40 PB - Science Publishing Group SN - 2575-1891 UR - https://doi.org/10.11648/j.ijdsa.20241002.12 AB - Cholera is a deadly disease caused by consumption of either food or water that is contaminated with bacterium known as Vibro cholerae. In the 19th century, Cholera had spread across the globe from its original source in Ganges Delta, India. This research aimed to investigated the factors contributing to the spread of Cholera in Kenya from 2000 to 2022. The key objective was to fit a multiple linear regression model which aid in determining the goodness of fit as well as examining the relationship between different types of drinking water and spread of Cholera. Secondary data was obtained from United Nations International Children’s Emergency Fund (UNICEF) and World Health Organization (WHO). The results showed a strong positive linear relationship between Surface water and proportion of population affected by Cholera. 88% total variation in the proportion of population being affected by Cholera can be explained by the Unimproved Basic water (UBW), Surface water (SW) and Least Basic drinking water (LBW). Significantly this research encouraged the use of the least basic drinking water which clearly showed an inverse proportion to the proportion of population affected by Cholera. In addition to that, the researchers recommend improved access to clean water and create awareness on the dangers of using untreated water. VL - 10 IS - 2 ER -
Department of Pure and Applied Sciences, Kirinyaga University, Nairobi, Kenya
Department of Pure and Applied Sciences, Kirinyaga University, Nairobi, Kenya
Department of Pure and Applied Sciences, Kirinyaga University, Nairobi, Kenya
Department of Pure and Applied Sciences, Kirinyaga University, Nairobi, Kenya
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