Determinants of Dehydration Status and Associated Risk Factors of Cholera Outbreak in Oromia, Ethiopia

Endale Alemayehu; Tsigereda Tilahun; Eshetu Mebrate

doi:doi:10.11648/j.bsi.20200503.11

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Determinants of Dehydration Status and Associated Risk Factors of Cholera Outbreak in Oromia, Ethiopia

Endale Alemayehu, Tsigereda Tilahun, Eshetu Mebrate

Published in Biomedical Statistics and Informatics (Volume 5, Issue 3)

Received: 18 June 2020 Accepted: 24 July 2020 Published: 10 August 2020

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Abstract

Introductions: Cholera is a diarrheal disease caused by infection of the intestine with the gram-negative bacteria Vibrio cholera. According to updated global burden of cholera estimate 2019 in Ethiopia 68,805,272 populations are at risk of cholera with incidence rate of 4 per 1000 population and case fatality of 3.8% estimated annual number of cases 275,221. Methods: The main objective of this study is to identify the significant risk factors of dehydration status of cholera outbreak in Oromia regional state of Ethiopia. Ordinal logistic regression was used to model the data by incorporating the assumption behind this novel model. Results: The results of the study indicated that of the total 965 cholera patients, most of them 560 (58%) were severely dehydrated by cholera. The overall goodness of model (p-valu=0.07) shows that the model fits the data well. Besides, the proportional odds assumption also revealed that the slop coefficients in the model are the same across dehydration status (p-value=0.094). For those have history of travel, the odds of severely dehydrated versus the combined some dehydrated and no dehydrated was exp (1.133804)=3.11 times higher than those have no history of travel (p-value<0.01). All the other factors like history of contact with other patients, other sick patients in the family, Intravenous and Antibiotics drugs are statistically significant with 5% level of significance to determine the status of dehydration. Conclusions: The ordinal logistic regression was fitted the data well and most of the included factors were significant for the dehydration status of cholera outbreak.

Published in	Biomedical Statistics and Informatics (Volume 5, Issue 3)
DOI	10.11648/j.bsi.20200503.11
Page(s)	60-64
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), 2020. Published by Science Publishing Group

Keywords

Cholera, Dehydration Status, Ordinal Logistic Regression

References

[1]	Dureab, F. et al. Risk factors associated with the recent cholera outbreak in Yemen: a case-control study. 1–6 (2018).
[2]	Health, E. Guideline on CHOLERA OUTBREAK MANAGEMENT Ethiopia.
[3]	Ohene, S., Klenyuie, W. & Sarpeh, M. Assessment of the response to cholera outbreaks in two districts in Ghana. Infect. Dis. Poverty 1–11 (2016) doi: 10.1186/s40249-016-0192-z.
[4]	Tull, K. Humanitarian interventions in Ethiopia responding to acute watery. 1–12 (2018).
[5]	Nsagha, D. S. et al. Assessing the risk factors of cholera epidemic in the Buea Health District of Cameroon. BMC Public Health (2015) doi: 10.1186/s12889-015-2485-8.
[6]	Phiri, P., Nzala, S. H. & Baboo, K. S. Factors Associated With the Recurring Cholera Outbreaks in Sinazongwe District of Southern Zambia. 42, 184–192 (2015).
[7]	Okugn, A. & Woldeyohannes, D. Food hygiene practices and its associated factors among model and non model households in Abobo district, southwestern Ethiopia: Comparative cross-sectional study. 1–9 (2018).
[8]	Open, C. & Journal, A. Treatment Outcome of Tuberculosis and Associated Factors at Gimbi Town Health Facilities Western Oromia,. 2, (2017).
[9]	César, H. et al. of Infectious Diseases East-Western Dynamic and Driving Factors of Cholera Epidemics in the Democratic Republic of the Congo. 3, 2009–2010 (2018).
[10]	Patience Ebekeyi et al Analysis of Factors Contributing to the Spread of Cholera in Developing Countries; 51 (2): 121-7 2019.

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Endale Alemayehu, Tsigereda Tilahun, Eshetu Mebrate. (2020). Determinants of Dehydration Status and Associated Risk Factors of Cholera Outbreak in Oromia, Ethiopia. Biomedical Statistics and Informatics, 5(3), 60-64. https://doi.org/10.11648/j.bsi.20200503.11

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ACS Style

Endale Alemayehu; Tsigereda Tilahun; Eshetu Mebrate. Determinants of Dehydration Status and Associated Risk Factors of Cholera Outbreak in Oromia, Ethiopia. Biomed. Stat. Inform. 2020, 5(3), 60-64. doi: 10.11648/j.bsi.20200503.11

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AMA Style

Endale Alemayehu, Tsigereda Tilahun, Eshetu Mebrate. Determinants of Dehydration Status and Associated Risk Factors of Cholera Outbreak in Oromia, Ethiopia. Biomed Stat Inform. 2020;5(3):60-64. doi: 10.11648/j.bsi.20200503.11

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@article{10.11648/j.bsi.20200503.11,
  author = {Endale Alemayehu and Tsigereda Tilahun and Eshetu Mebrate},
  title = {Determinants of Dehydration Status and Associated Risk Factors of Cholera Outbreak in Oromia, Ethiopia},
  journal = {Biomedical Statistics and Informatics},
  volume = {5},
  number = {3},
  pages = {60-64},
  doi = {10.11648/j.bsi.20200503.11},
  url = {https://doi.org/10.11648/j.bsi.20200503.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bsi.20200503.11},
  abstract = {Introductions: Cholera is a diarrheal disease caused by infection of the intestine with the gram-negative bacteria Vibrio cholera. According to updated global burden of cholera estimate 2019 in Ethiopia 68,805,272 populations are at risk of cholera with incidence rate of 4 per 1000 population and case fatality of 3.8% estimated annual number of cases 275,221. Methods: The main objective of this study is to identify the significant risk factors of dehydration status of cholera outbreak in Oromia regional state of Ethiopia. Ordinal logistic regression was used to model the data by incorporating the assumption behind this novel model. Results: The results of the study indicated that of the total 965 cholera patients, most of them 560 (58%) were severely dehydrated by cholera. The overall goodness of model (p-valu=0.07) shows that the model fits the data well. Besides, the proportional odds assumption also revealed that the slop coefficients in the model are the same across dehydration status (p-value=0.094). For those have history of travel, the odds of severely dehydrated versus the combined some dehydrated and no dehydrated was exp (1.133804)=3.11 times higher than those have no history of travel (p-valueConclusions: The ordinal logistic regression was fitted the data well and most of the included factors were significant for the dehydration status of cholera outbreak.},
 year = {2020}
}

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TY  - JOUR
T1  - Determinants of Dehydration Status and Associated Risk Factors of Cholera Outbreak in Oromia, Ethiopia
AU  - Endale Alemayehu
AU  - Tsigereda Tilahun
AU  - Eshetu Mebrate
Y1  - 2020/08/10
PY  - 2020
N1  - https://doi.org/10.11648/j.bsi.20200503.11
DO  - 10.11648/j.bsi.20200503.11
T2  - Biomedical Statistics and Informatics
JF  - Biomedical Statistics and Informatics
JO  - Biomedical Statistics and Informatics
SP  - 60
EP  - 64
PB  - Science Publishing Group
SN  - 2578-8728
UR  - https://doi.org/10.11648/j.bsi.20200503.11
AB  - Introductions: Cholera is a diarrheal disease caused by infection of the intestine with the gram-negative bacteria Vibrio cholera. According to updated global burden of cholera estimate 2019 in Ethiopia 68,805,272 populations are at risk of cholera with incidence rate of 4 per 1000 population and case fatality of 3.8% estimated annual number of cases 275,221. Methods: The main objective of this study is to identify the significant risk factors of dehydration status of cholera outbreak in Oromia regional state of Ethiopia. Ordinal logistic regression was used to model the data by incorporating the assumption behind this novel model. Results: The results of the study indicated that of the total 965 cholera patients, most of them 560 (58%) were severely dehydrated by cholera. The overall goodness of model (p-valu=0.07) shows that the model fits the data well. Besides, the proportional odds assumption also revealed that the slop coefficients in the model are the same across dehydration status (p-value=0.094). For those have history of travel, the odds of severely dehydrated versus the combined some dehydrated and no dehydrated was exp (1.133804)=3.11 times higher than those have no history of travel (p-valueConclusions: The ordinal logistic regression was fitted the data well and most of the included factors were significant for the dehydration status of cholera outbreak.
VL  - 5
IS  - 3
ER  -

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Author Information

Endale Alemayehu

Department of Statistics, College of Natural and computational Science, Ambo University, Ambo, Ethiopia
Tsigereda Tilahun

Department of Statistics, College of Natural and computational Science, Ambo University, Ambo, Ethiopia
Eshetu Mebrate

Department of Statistics, College of Natural Sciences, Assosa University, Assosa, Ethiopia

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APA Style

Endale Alemayehu, Tsigereda Tilahun, Eshetu Mebrate. (2020). Determinants of Dehydration Status and Associated Risk Factors of Cholera Outbreak in Oromia, Ethiopia. Biomedical Statistics and Informatics, 5(3), 60-64. https://doi.org/10.11648/j.bsi.20200503.11

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ACS Style

Endale Alemayehu; Tsigereda Tilahun; Eshetu Mebrate. Determinants of Dehydration Status and Associated Risk Factors of Cholera Outbreak in Oromia, Ethiopia. Biomed. Stat. Inform. 2020, 5(3), 60-64. doi: 10.11648/j.bsi.20200503.11

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AMA Style

Endale Alemayehu, Tsigereda Tilahun, Eshetu Mebrate. Determinants of Dehydration Status and Associated Risk Factors of Cholera Outbreak in Oromia, Ethiopia. Biomed Stat Inform. 2020;5(3):60-64. doi: 10.11648/j.bsi.20200503.11

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@article{10.11648/j.bsi.20200503.11,
  author = {Endale Alemayehu and Tsigereda Tilahun and Eshetu Mebrate},
  title = {Determinants of Dehydration Status and Associated Risk Factors of Cholera Outbreak in Oromia, Ethiopia},
  journal = {Biomedical Statistics and Informatics},
  volume = {5},
  number = {3},
  pages = {60-64},
  doi = {10.11648/j.bsi.20200503.11},
  url = {https://doi.org/10.11648/j.bsi.20200503.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bsi.20200503.11},
  abstract = {Introductions: Cholera is a diarrheal disease caused by infection of the intestine with the gram-negative bacteria Vibrio cholera. According to updated global burden of cholera estimate 2019 in Ethiopia 68,805,272 populations are at risk of cholera with incidence rate of 4 per 1000 population and case fatality of 3.8% estimated annual number of cases 275,221. Methods: The main objective of this study is to identify the significant risk factors of dehydration status of cholera outbreak in Oromia regional state of Ethiopia. Ordinal logistic regression was used to model the data by incorporating the assumption behind this novel model. Results: The results of the study indicated that of the total 965 cholera patients, most of them 560 (58%) were severely dehydrated by cholera. The overall goodness of model (p-valu=0.07) shows that the model fits the data well. Besides, the proportional odds assumption also revealed that the slop coefficients in the model are the same across dehydration status (p-value=0.094). For those have history of travel, the odds of severely dehydrated versus the combined some dehydrated and no dehydrated was exp (1.133804)=3.11 times higher than those have no history of travel (p-valueConclusions: The ordinal logistic regression was fitted the data well and most of the included factors were significant for the dehydration status of cholera outbreak.},
 year = {2020}
}

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TY  - JOUR
T1  - Determinants of Dehydration Status and Associated Risk Factors of Cholera Outbreak in Oromia, Ethiopia
AU  - Endale Alemayehu
AU  - Tsigereda Tilahun
AU  - Eshetu Mebrate
Y1  - 2020/08/10
PY  - 2020
N1  - https://doi.org/10.11648/j.bsi.20200503.11
DO  - 10.11648/j.bsi.20200503.11
T2  - Biomedical Statistics and Informatics
JF  - Biomedical Statistics and Informatics
JO  - Biomedical Statistics and Informatics
SP  - 60
EP  - 64
PB  - Science Publishing Group
SN  - 2578-8728
UR  - https://doi.org/10.11648/j.bsi.20200503.11
AB  - Introductions: Cholera is a diarrheal disease caused by infection of the intestine with the gram-negative bacteria Vibrio cholera. According to updated global burden of cholera estimate 2019 in Ethiopia 68,805,272 populations are at risk of cholera with incidence rate of 4 per 1000 population and case fatality of 3.8% estimated annual number of cases 275,221. Methods: The main objective of this study is to identify the significant risk factors of dehydration status of cholera outbreak in Oromia regional state of Ethiopia. Ordinal logistic regression was used to model the data by incorporating the assumption behind this novel model. Results: The results of the study indicated that of the total 965 cholera patients, most of them 560 (58%) were severely dehydrated by cholera. The overall goodness of model (p-valu=0.07) shows that the model fits the data well. Besides, the proportional odds assumption also revealed that the slop coefficients in the model are the same across dehydration status (p-value=0.094). For those have history of travel, the odds of severely dehydrated versus the combined some dehydrated and no dehydrated was exp (1.133804)=3.11 times higher than those have no history of travel (p-valueConclusions: The ordinal logistic regression was fitted the data well and most of the included factors were significant for the dehydration status of cholera outbreak.
VL  - 5
IS  - 3
ER  -

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