Odds ratio & 95% CI from generalized estimating equations with robust standard error

I am working on logistic regression and was thinking of incorporating robust sandwich standard errors. I was able to get the coefficient but have trouble getting its associated odds ratio and 95% CI.

Here is my R code. All the feedback is very much appreciated.

model <- glm (disease ~ prescore, data = mydata, family=binomial) ## regular logistic regression
coeftest(model, vcov = sandwich) ## coefficient with sandwich standard errors

There is an example of the 95% CI using sandwich here:


There is a general example of odds ratios for logistic regression here:


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