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Characterizing environmental factors influencing zoonotic disease reservoirs using meta-parasite...
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Characterizing environmental factors influencing zoonotic disease reservoirs using meta-parasite prevalence
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http://www.ohsu.edu/xd/education/library/services/theses-dissertations/rights-statement.cfm
Title
Characterizing
environmental
factors
influencing
zoonotic
disease
reservoirs
using
meta-parasite
prevalence
Creator.PersonalName
Mills
,
Cynthia
L
.
Thesis.Degree
M.S.
Thesis.Major
Public Health and Preventive Medicine
Thesis.DateDegreeAwarded
June
2007
Institution
Oregon Health & Science University
School
School of Medicine
Department
Dept. of Public Health and Preventive Medicine
Thesis.Advisor/Mentor
Carlson, Nicole E.
Subject.Keyword
Zoonotic
Disease
;
Biodiversity
;
Hantavirus
;
Hantavirus
Pulmonary
Syndrome
;
Peromyscus
Maniculatus
Subject.MeSH
Zoonoses
Disease Reservoirs
Sin Nombre virus
Hantavirus Pulmonary Syndrome
Biodiversity
Call Number
Q171 M657c 2007
Description.Abstract
In
five
parks
around
Portland
,
Oregon
,
where
there
is
a
dense
human
population
,
investigators
have
found
a
5.3%
prevalence
of the
host
of the
Hantavirus
Pulmonary
Syndrome
,
Sin
Nombre
Virus
in
deer
mice
,
Peromyscus
maniculatus
.
Previous
studies
show
the
prevalence
of
SNV
varies
inversely
with the
level
of
biodiversity
measured
for
each
reserve
. The
current
study
uses
a
preserved
subset
of
257
specimens
from the
same
populations
to
examine
a
second
disease
system
:
gastrointestinal
meta-parasites
, to
compare
the
impact
of the
same
environmental
factors
on a
parasite
with a
different
transmission
strategy
. The
results
were
similar
:
biodiversity
has an
inverse
effect
on
prevalence
of
meta-parasites
, but
population
densities
of
P
.
maniculatus
and of
all
small
mammals
have
no
significant
effect
.
Analysis
was
performed
using
GEE
modeling
for
correlated
data
.
Models
with
more
than
one
variable
tested
did
not
retain
significance
suggesting
that
some
of the
effect
of
biodiversity
can
be
explained
by
changes
in
population
dynamics
.
Mass
was also a
significant
predictor
,
although
not in a
model
stratified
by
weight
or
age
.
Biodiversity
proves
to be a
persistent
if not
robust
factor
influencing
wildlife
disease
dynamics
.
Language
eng
Type
Text
Format.Use
Needs Adobe Acrobat Reader to view.
Format.FileType
pdf
Format.FileSize
285 KB
OCLC number
182562454
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