calculate_impact_ip.Rdcalculate_impact_ip This function calculates the
proportion by which vectorial capacity is reduced when an intervention is
deployed to a cohort of humans at a given time point
calculate_impact_ip(intervention_obj, model_obj, n_vec, Ni)object with the following attributes
PBi: probability that a mosquito bites host i
PCi: probability that a mosquito finds a resting place after
biting a host of type i
PDi: probability that a mosquito survives the resting phase
after biting a host of type i
PEi: probability that a mosquito lays eggs and
returns to host-seeking after biting a host of type i
Kvi: proportion of susceptible mosquitoes that become infected
after biting any host of type i
muvA: mosquito death rate
alphai: availability to mosquitoes for host of type i
list of vector- and host-specific entomological parameters
(see description of output from function calc_model_params)
data frame with the number of protected and unprotected hosts for various intervention coverages
number of daily emerging mosquitoes
object with the following attributes (columns = different coverages): #'
Pf_all: probability that mosquitoes survive the feeding cycle
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or_all: delayed oocyst rate
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sr_all: sporozoite rate
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sigmai_all: host biting rate
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eiri_all: entomological innoculation rate
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vc_all: vectorial capacity
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f_all: duration of the feeding cycle
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PAmu_all: probability that mosquitoes die during host seeking
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maxeig_all: maximum eigen value of the upsilon matrix