LC: Did major experiments, animal model and acquisition of data, analysis and interpretation of data and drafted the manuscript.
LF conducted the research, including model design, acquisition of data, analysis and interpretation of data, and manuscript drafting.
For a history of the development of multi‐way models in the context of data analysis, see[7].
We therefore used a heterogeneous target model in the second step of data analysis.
Thus, it can be a useful first-line tool of data analysis, model diagnostics and aid the design of next-step experiments.
The predictive model may help the interpretation of data analysis for the public health surveillance and may facilitate the identification of unusual outbreaks.
The identification of the spatial relationships among neighbors is also of great importance for the last step of data analysis; modeling and hypothesis testing.
It may also motivate different and more informed methods of data analysis and modelling.
Likewise, dichotomous data in the study necessitated use of Logit model for data analysis.
Bayesian statistics were applied to incorporate background information into the specification of a tested model for data analysis [ 14].
