vaccinationimpact (version 0.1.0)

compute_events_avertable_by_increasing_coverage: Compute events averted by increasing the final vaccine coverage

Description

Compute events averted by increasing the final vaccine coverage

Usage

compute_events_avertable_by_increasing_coverage(
  number_of_events,
  cumulative_coverage,
  vaccine_coverage_increase,
  vaccine_effectiveness
)

Value

a list with the new vaccine coverage ("new_vaccine_coverage") and the estimated number of events averted ("nabe")

Arguments

number_of_events

number of events

cumulative_coverage

cumulative vaccination coverage

vaccine_coverage_increase

percentage increase in final vaccine coverage (between 0 and 1)

vaccine_effectiveness

vaccine effectiveness

Examples

data(coverage_and_incidence_mock_data)
data(ve_mock_data)
coverage <- coverage_and_incidence_mock_data$coverage_data
incidence <- coverage_and_incidence_mock_data$incidence_data
vaccine_effectiveness <- ve_mock_data$ve
nabe <- compute_events_avertable_by_increasing_coverage(
  number_of_events = incidence$events,
  cumulative_coverage = coverage$cumulative_coverage,
  vaccine_coverage_increase = 0.1, # 10% increase in final coverage
  vaccine_effectiveness = vaccine_effectiveness
)
plot(nabe$new_vaccine_coverage, type = "l",
xlab = "Time", ylab = "Vaccine coverage with 10% increase")
plot(nabe$nabe, type = "l", xlab = "Time", ylab = "Events averted")