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Models for abundance and habitat preference
of Aedes albopictus
Estimate the population size of Aedes Albopictus
A good estimate of the population size of vectors for infectious diseases is helpful to determine
prevention and control measures.
1 Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
2 Dipartimento di Sanità Pubblica e Malattie Infettive, Università di Roma “La Sapienza”, Roma, Italy
3 Georges Lemaître Centre for Earth and Climate Research, Earth and Life Institute, Université catholique de Louvain, Louvain-
la-Neuve, Belgium
Daniela Cianci1 | Jan van den Broek1 | Beniamino Caputo2 | Alessandra della Torre2 |
Francesca Marini2 | Hans Heesterbeek1 | Nienke Hartemink3
FACULTY OF VETERINARY MEDICINE / UTRECHT UNIVERSITY
Daniela Cianci: d.cianci@uu.nl
TRADITIONAL METHOD:
PETERSEN & LINCOLN
Habitat preference of Aedes Albopictus
Understanding sources of spatial heterogeneity contributes to disease prevention and control.
Mm
nN
LOGISTIC REGRESSION MODEL
)log()(
1
log 10
10 MetE dis
ii
+Distance between release site and sticky trap (dis)
+Loss rate, λ=exp(β0
+β1
dis)
+Experiment (E), i=1,2,… is the number of the experiment
Statistical analysis to
determine the most
important factors
1
M
Sticky trap
nm
N
Release
Site
RS
32 lost
Mosquitoes
Released Population
Size
marked
recaptured
mosquitoes
tot
captured
mosquitoes
Mark Release Recapture experiment
Mm
=
N
HR spatial analysis
N
=
)(
10 10
log
ii E
ii eNEN
Estimating the population size of a vector for infectious diseases by using a logistic regression model,
allows to take into account several important information and provides less uncertain estimates.
In collaboration with:
Neil Alexander
(Dept of Zoology,
Oxford University)
Caroline Zeimes and
Sophie Vanwambeke
(Université catholique
de Louvain,
Louvain-la-Neuve)
This project was funded by EU grant
FP7-261504 EDENext