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Another Look at the Sarima Modelling of the Number of Dengue Cases in Campinas, State of Sao Paulo, Brazil

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  • Ette Harrison Etuk
  • Nathaniel Ojekudo

Abstract

Martinez, et al. [1] analysed monthly numbers of dengue cases as reported in Campinas, southeast Brazil from 1998 to 2008, by SARIMA methods. Assuming X is the original series, they analysed the logarithm of X + 1. The models they proposed and compared are of orders (2,1,2)x(1,1,1)12, (2,1,1)x(1,1,1)12, (1,1,2)x(1,1,1)12, (1,1,1)x(1,1,1)12, (2,1,3)x(1,1,1)12, and (1,1,3)x(1,1,1)12. Using the R software, they chose the SARIMA(2,1,2)x(1,1,1)12 model as the best on the basis of Akaike information criterion, AIC. The result in this work is different: the SARIMA(2,1,1)x(1,1,1)12 model is herein adjudged as the best on the same minimum AIC grounds.

Suggested Citation

  • Ette Harrison Etuk & Nathaniel Ojekudo, 2014. "Another Look at the Sarima Modelling of the Number of Dengue Cases in Campinas, State of Sao Paulo, Brazil," International Journal of Natural Sciences Research, Conscientia Beam, vol. 2(9), pages 156-164.
    • Handle: RePEc:pkp:ijonsr:v:2:y:2014:i:9:p:156-164:id:2327
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    Cited by:

    1. Ette Harrison Etuk & Belief Nsirimobi Elenga & Maxwell Awoingo Adonijah & Wokoma Dagogo Samuel Allen & Felicia Ette Etuk, 2014. "A SARIMA Fit to Monthly Nigerian Import Commodity Price Indices," Journal of Empirical Economics, Research Academy of Social Sciences, vol. 3(5), pages 306-313.

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