article Open Access
Application of time series analysis on the forecasting of the outbreak of malaria epidemic in Nigeria
International Journal of Statistics and Applied Mathematics · 2018 · Vol. 3(6) · pp. 98–105
Abstract
This study examined the application of time series analysis in forecasting of the monthly outbreak of malaria epidemic in Nigeria. The secondary data was obtained from the National Bureau of Statistics (NBS). The model; ARIMA (1,0,1) was used to forecast the monthly reported cases of malaria with 16 months lead, which shows a gradual increase and decrease in the series. It was recommended among others that the Government should ensure the provision of insecticide-treated nets, insecticides and anti-malaria drugs in the rural areas in Nigeria.
Forecasting Techniques and ApplicationsMalariaAutoregressive integrated moving averageOutbreakTime seriesGeographyGovernment (linguistics)Environmental healthSeries (stratigraphy)SocioeconomicsStatistics
Citations
1
FWCI
0.22
field-weighted impact
References
2
Percentile
65%
vs. same field & year
References
Time Series Analysis, Forecasting, and Control
Technometrics · 1995 · 3,611 citations
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