I have a data set of animal disease from 2011 to 2018. The data consisted of the number of cases per month. I want to ask the techniques that can be used for checking seasonal pattern. I tried to use decompose() command in R, but from what I read, this technique can't confirm the seasonality presence. I am new to this topic. Please kindly guide me or post some useful materials. Thank you very much for your help.
Please refer to this paper
Article Time series analysis of bovine venereal diseases in La Pampa...
RG put this question on my list while I am not associated with animal disease study therefore I wonder if it may be helpful to consider seasonality tests as used in other fields:
https://www.census.gov/ts/papers/ices2007dpl.pdf
http://www.ecoinc.info/wp-content/uploads/2016/10/4_ECO-10-430-011301-F.pdf
https://stats.stackexchange.com/questions/144745/is-this-an-appropriate-method-to-test-for-seasonal-effects-in-suicide-count-data
And maybe something readily available for use in R:
https://cran.r-project.org/web/packages/seastests/vignettes/seastests-vignette.html
or other software:
https://sylwiagrudkowska.github.io/JDemetra-documentation/
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