exposure_dat: Calculate hourly exposure to bite indices based on human and...
In Nmoiroux/biteExp:

Description Usage Arguments Value Examples

View source: R/exposure_dat.R

Calculate hourly exposure to bite indices based on human and vector behaviors data the generated dataframe can be used with functions 'plot_exposure', ' plot_behaviors' and 'plot_behavior_H'for plotting purpose and with 'daily_exp_stat' and 'simul_IC_exp' to calculate daily statistics of exposure

1	exposure_dat(Count_HB, Count_ento, p = 0.92)

`Count_HB`	a dataframe resulting from function 'HB_to_counts' with an additional column specifying the survey number ("Enq", integer)
`p`	the personal protection provided by an LLIN (default = 0.92 for Permanet 2 according to Corbel et al. 2010)
`COunt_ento`	a dataframe resulting from function 'Entomo_PHP_to_counts'

a dataframe joining Count_HB and COunt_ento plus the following calculmated fields: 'pui“ proportion of LLIN user being indoor (rounded to deal with small neagtive value of U_outdoors) 'puo' proportion of LLIN user being outdoor 'pup' proportion of LLIN user being to bed and protected by a LLIN 'eui' user exposure indoor 'euo' user exposure outdoor 'eun' user exposure under an LLIN 'eup' user exposure indoor prevented by LLIN

Count_HB <- HB_to_counts(ODK_HB_R)
Count_HB$Enq <- 3
v_hours <- c(15:23,0:11)
Data_Entomo <- Entomo_PHP_to_counts(Entomo_PHP, v_hours)
exposure_dat(Count_HB, Data_Entomo, p = 0.92)