  With COVID-19 having emerged as the most widespread human pandemic disease in
a century, the need to control its spread to avoid massive loss of life became
more than necessary, and extremely fast. Several vaccines were developed and
the task of policy makers was suddenly to convince the reluctant population to
be vaccinated by various means. While some countries have chosen a policy of
mandatory vaccination or punitive incentives, many states in the United States
have adopted various incentives to try to increase vaccination coverage. A
study we conducted in recent months quantified the effect of these measures on
the proportion of the population vaccinated, using the synthetic control
method, by simulating what would have happened without these measures. The aim
now is to generalize this study to smaller scales, to improve the results of
our previous study, to quantify their robustness and to provide a tool that can
be used by policy makers to adapt their behavior in light of the results
obtained.
