Vol. 1 No. 1 (2023): March
Open Access
Peer Reviewed

Buys Ballot Approach in Time Series Analysis of Typhoid Fever

Authors

Paul I. Dalatu , Asabe Ibrahim

DOI:

10.56566/sigmamu.v1i1.60

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Received: 2023-02-09
Accepted: 2023-03-08
Published: 2023-03-31

Abstract

Typhoid fever (is also called enteric fever) is a bacterial disease spread through contaminated food, water or close contact. However, where it is prevalence government usually recommend vaccines to curtail its deadly spreading in the affected area. The fever is caused by Salmonella typhi bacteria. Therefore, we had adopted the Buys Ballot approach by using time series analysis for the estimation of trend of typhoid fever disease from the year 2011 to 2020 and predicts the future occurrence of the disease in Mubi South Local Government Area (LGA) of Adamawa State, Nigeria. However, based on the data used the result shows that there is significant increase in the recorded cases of typhoid fever disease, it has forecasted and predicted that more number of people may be affected in future compared to the study results obtained. Hence, this study has given some recommendations in order to reduce the prevalence of typhoid fever disease in future

Keywords:

Analysis Anorexia Salmonella Typhi Prevalence Trend

References

Ajaraogu, I. C., Iwueze, I. S., & Nwogu, E.C. (2017). Properties of the Buys Ballot Estimates when Trend Cycle Component of Time Series is Linear. International Journal of Theoretical and Mathematical Physics. 10(1): 22-27. Retrieved from http://www.ceser.in/ceserp/index.php/ijmc/article/view/2468

Budelka (2015). Concise Medical Dictionary (9th Edition) – Oxford Reference, Publisher: Oxford University Press.

Chatfield, C. (2016). The Analysis of Time Series: An introduction, Chapman and hall. CRC Press. University of Chicago, USA.

Christophorus Henrich Didericus, (2022). Buys Ballot (1817 - 1890), Royal Netherlands Academy of Arts and Sciences. Retrieved 9th March, 2022.

Fomby, T.B. (2008). Buys Ballot Plots: Graphical Methods for Detecting Seasonality in Time Series, Pages 1- 9.

World Health Organization (2018). Estimation of Typhoid Fever Cases in Low and Middle Income Countries: WHO position paper – March 2008 Weekly Epidemol Rec.2018; 103 (4):13.

Author Biographies

Paul I. Dalatu, Adamawa State University, Mubi-Nigeria

Author Origin : Nigeria

Asabe Ibrahim, Adamawa State University, Mubi-Nigeria

Author Origin : Nigeria

How to Cite

Dalatu, P. I., & Ibrahim, A. (2023). Buys Ballot Approach in Time Series Analysis of Typhoid Fever. Sigma&Mu: Journal of Mathematics Education, Mathematics, Statistics and Data Science, 1(1), 9–15. https://doi.org/10.56566/sigmamu.v1i1.60