Analysis of Data
With the information generated by the field data, laboratory and molecular analyzes, we will describe how the interaction between the environment, infectious agents and the host, can model patterns and processes of ecological that favor the emergence and development of infectious agents in capuchin monkeys.
With the support of multivariate analysis the variables that determine the presence of these infecitous agents and factors favoring or not the establishment of infections are identified.
The prevalence of each agent individually identified and co-infections, as well as environmental variables will be compared between the community and seasons in different buffers. With support from the software Quantum GIS, spatial analysis will be performed and the values for environmental variables and land use will be obtained. Then generalized linear models (GLM) will be implemented to determine how environmental and ecological variables selected, significantly affect the results obtained. According to the criteria of Akaike (AIC), the best model will be selected. Statistical analyzes will be carried out using the R (R Core Team 2018) software.