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Relationship Between Altitude and Intensity of Malaria Transmission in the Usambara Mountains, Tanzania

Authors:

Abstract

There is a consensus that malaria is a growing problem in African highlands. This is surprising because many parts of the highlands were considered too cold to support transmission. In this report, we examined how transmission of Plasmodium falciparum in six villages changed along an altitude transect in the Usambara Mountains, Tanzania, from 300 m to 1700 m. Routine entomological collections were made using spray catches and light traps for 15 mo. Direct estimates of entomological inoculation rates and indirect estimates of vectorial capacity suggested a >1000-fold reduction in transmission intensity between the holoendemic lowland and the hypoendemic highland plateau. Lowland transmission was perennial with a significant peak in the cool season after the long rains in May, when vectors densities were high. In the highlands, low temperatures prevented parasite development in mosquitoes during the cool season rains, and highland transmission was therefore limited to the warm dry season when vector densities were low. The primary effect of increasing altitude was a log-linear reduction in vector abundance and, to a lesser extent, a reduction in the proportion of infective mosquitoes. Highland malaria transmission was maintained at extraordinarily low vector densities. We discuss herein the implications of these findings for modeling malaria and suggest that process-based models of malaria transmission risk should be improved by considering the direct effect of temperature on vector densities. Our findings suggest that variation in the short rains in November and changes in agricultural practices are likely to be important generators of epidemics in the Usambaras.
Vector
/Pathogen
/Host
Interaction,
Transmission
Relationship
Between
Altitude
and
Intensity
of
Malaria
Transmission
in
the
Usambara
Mountains,
Tanzania
R.
B0DKER,12
J.
AKIDA,3
D.
SHAYO,1
W.
KISINZA,3
H.
A.
MSANGENI,3
E.
M.
PEDERSEN,1
and
S.
W.
LINDSAY1-"
J.
Med.
Entomol.
40(5):
706-717
(2003)
ABSTRACT
There
is
a
consensus
that
malaria
is
a
growing
problem
in
African
highlands.
This
is
surprising
because
many
parts
of
the
highlands
were
considered
too
cold
to
support
transmission.
In
this
report,
we
examined
how
transmission
of
Plasmodiumfalciparum
in
six
villages
changed
along
an
altitude
transect
in
the
Usambara
Mountains,
Tanzania,
from
300
m
to
1700
m.
Routine
entomological
collections
were
made
using
spray
catches
and
light
traps
for
15
mo.
Direct
estimates
of
entomological
inoculation
rates
and
indirect
estimates
of
vectorial
capacity
suggested
a
>
1000-fold
reduction
in
transmission
intensity
between
the
holoendemic
lowland
and
the
hypoendemic
highland
plateau.
Lowland
transmission
was
perennial
with
a
significant
peak
in
the
cool
season
after
the
long
rains
in
May,
when
vectors
densities
were
high.
In
the
highlands,
low
temperatures
prevented
parasite
development
in
mosquitoes
during
the
cool
season
rains,
and
highland
transmission
was
therefore
limited
to
the
warm
dry
season
when
vector
densities
were
low.
The
primary
effect
of
increasing
altitude
was
a
log-linear
reduction
in
vector
abundance
and,
to
a
lesser
extent,
a
reduction
in
the
proportion
of
infective
mosquitoes.
Highland
malaria
transmission
was
maintained
at
extraordinarily
low
vector
densities.
We
discuss
herein the
implications
of
these
findings
for
modeling
malaria
and
suggest
that
process-based
models
of
malaria
transmission
risk
should
be
improved
by
considering
the
direct
effect
of
temperature
on
vector
densities.
Our
findings
suggest
that
variation
in
the
short
rains
in
November
and
changes
in
agricultural
practices
are
likely
to
be
important
generators
of
epidemics
in
the
Usambaras.
KEY
WORDS
Anopheles
spp.,
highland
malaria,
malaria
transmission,
Tanzania,
vectorial
capacity
Malaria
in
the
African
highlands
appears
to
be
a
vectors,
their
feeding
frequency,
and
the
development
growing
problem,
with
areas
previously
considered
of
the
parasite
in
the
mosquito
are
summarized.
It
is
free
of
malaria
now
becoming
endemic
or
affected
by
well
known
that
vectors
are
relatively
scarce
in
the
severe
epidemics
(Lindsay
and
Martens
1998,
African
highlands,
but
mosquito
densities
have
been
Mouchet
et
al.
1998,
B0dker
et
al.
2000).
But
little
is
difficult
to
model
in
relation
to
environmental
param-
known
about
the
dynamics
of
malaria
transmission
in
eters
and
have
played
a
minor
role
in
the
construction
the
these
highlands
(Garnham
1948,
Heisch
and
of
transmission
models.
Most
process-based
models
of
Harper
1949,
Clyde
et
al.
1956,
Matola
et
al.
1987,
malaria
distribution,
therefore,
assume
that
the
pri-
Fontenille
et
al.
1990,
Khaemba
et
al.
1994,
Abose
et
al.
mary
impact
of
low
temperatures
on
malaria
trans-
1998,
Ellman
et
al.
1998,
Lindblade
et
al.
1999,
Lindsay
mission
is
exerted
by
prolonging
the
duration
of
par-
et
al.
2000).
asite
development,
thus
reducing
the
proportion
of
To
determine
where
highland
malaria
transmission
mosquitoes
surviving
long
enough
to
develop
infective
occurs
and
where
it
is
spreading,
we
need
to
have
an
parasites.
When
the
temperature
falls
below
the
min-
accurate
understanding
of
the
interactions
between
imum
for
parasite
development,
transmission
ceases
the
highland
environment
and
transmission.
Attempts
despite
the
presence
of
malaria
vectors,
to
model
malaria
transmission
have
been
based
largely
Scientists
have
attempted
to
map
the
risk
of
malaria
on
process-based
models.
In
this
report,
the
effect
of
transmission
across
large
geographical
areas
by
such
temperature,
and
less
often,
rainfall,
on
the
survival
of
process-based
models
(Sutherst
1993,
Martin
and
Lefebvre
1995,
Jetten
et
al.
1996,
Lindsay
and
Birley
'Danish
Bitharziasis
Laboratory,
Jaegersborg
AllelD,
DK-2920
1996;
Unds^
m*
Martens
1998,
Martens
1998,
Craig
Charlottenlund,
Denmark.
e*
*"•
1999)
and
predict
effects
of
climatic
change
2
Corresponding
author:
Danish
Veterinary
Laboratory,
BQlowsvej
(Martens
et
al.
1994,
Lindsay
and
Birley
1996).
At-
27
DK-1790
Copenhagen
v
Denmark.
tempts
have
been
made
to
model
highland
transmis-
T^r
°
^
"^
siontopredictthedistributionandintensityofmalaria
*
School
of
Biological
and
Biomedical
Sciences,
University
of
transmission,
to
forecast
epidemics,
and
to
predict
the
Durham,
South
Road,
Durham
DH1
3LE,
United
Kingdom.
impact
of
climatic
change
(Lindsay
and
Martens
1998,
0022-2585/03/0706-0717$04.00/0
©
2003
Entomological
Society
of
America
September
2003
B0DKER
ET
AL.:
MALARIA
TRANSMISSION
ALONG
AN
ALTITUDE
TRANSECT
707
2250m
2000m
1750m
1500m
1250m
1000m
750m
u
500m
J
10km
m
Fig.
1.
Map
of
the
south-eastern
part
of
the
West
Usambara
Mountains,
showing
the
position
of
the
six
transect
vil-
Sharp
and
Cox
1998,
Rogers
and
Randolph
2000).
Temperature
decreases
with
altitude
and
models
fo
cusing
on
the
impact
of
temperature
on
parasite
de
velopment
time
in
the
vectors,
assume
a
highland
zone
with
malaria
vectors,
but
without
malaria
transmis
sion.
Such
a
zone
would
be
prone
to
epidemics
if
temperatures
temporarily
increase
and
permit
sporo-
gony
in
the
existing
vector
population.
This
study
aimed
to
provide
a
detailed
description
of
the
effects
of
altitude
and
the
seasonality
of
tem
perature
and
rainfall
on
the
transmission
intensity
of
malaria
along
an
altitudinal
transect
in
the
West
Usambaras,
Tanzania,
from
the
holoendemic
foothills
at
300
m
to
the
hypoendemic
highland
plateau
at
1700
m.
The
specific
objectives
of
the
study
were
to:
(1)
quantify
the
impact
of
altitude
on
sporozoite
rates
and
vector
densities,
and
to
compare
the
relative
con
tribution
of
these
two
factors
on
transmission
intensity
by
direct
measurements
of
the
entomological
inocu
lation
rates
(EIR)
and
by
indirect
estimates
of
vecto-
rial
capacity
(Garrett-Jones
1964);
(2)
determine
whether
a
zone
of
anophelism
without
malaria
existed;
(3)
identify
potential
mechanisms
of
highland
malaria
outbreaks;
and
(4)
suggest
potential
impacts
of
envi
ronmental
and
climatic
change
in
the
Usambara
high
lands.
Materials
and
Methods
Study
Area.
Six
villages
were
selected
along
an
al
titude
transect
in
the
West
Usambara
Mountains
in
northeast
Tanzania,
«=100
km
inland
from
the
port
of
Tanga.
These
villages
were
situated
at
300
m
(Kwameta,
06.6'
S,
38°
29.1'
E),
600
m
(Magundi
05.3'
S,
38°
28.3'
E),
800
m
(Kwamhanya,
03.5'
S,
38°
27.6'
E),
1,000
m
(Bagamoyo,
04.0'
S,
38°
26.5'
E),
1,400
m
(Balangai,
55.6'
S,
38°
27,7'
E),
and
1,700
m
(Milungui,
45.3'
S,
38°
21.3'
E;
Fig.
1).
All
villages
grew
maize.
Rice
was
only
fanned
at
300
m,
beans
were
grown
up
to
1,400
m,
and
tea
was
cultivated
between
1,000
and
1,400
m.
The
highest
village
culti
vated
vegetables
supplemented
with
fruit
trees.
The
study
area
and
the
villages
have
been
described
pre
viously
in
greater
detail
(B0dker
et
al.
2000,
Bendixen
etal.
2001).
708
Journal
of
Medical
Entomology
Vol.
40,
no.
5
Meteorological
Recordings.
In
each
village
rainfall
was
measured
using
a
simple
rain
gauge
(model
CE/004,
Casella,
United
Kingdom)
and
outdoor
tem
peratures
recorded
at
1.25
m
in
a
Stevenson
screen
and
indoors
at
1.4
m
using
temperature
data
loggers
(Tinytalk-Temp,
Chichester,
West
Sussex,
United
Kingdom)
recording
20
times
per
24
h.
Mosquito
Collections.
A
geographically
defined
cluster
of
houses
containing
up
to
1,000
people
was
selected
in
each
village.
All
houses
in
each
cluster
were
numbered,
and
eight
houses
were
randomly
se
lected
for
mosquito
collections.
For
light
trap
catches
of
mosquitoes,
a
bedroom
was
selected
in
each
house
and
untreated
bednets
given
to
the
occupants.
For
four of
the
light-trap
houses
in
each
village,
a
bedroom
in
a
neighboring
house
was
selected
for
spray
catches.
The
number
of
people
sleeping
in
each
of the
12
collection
rooms
was
calculated
as
the
average
num
ber
of
people
recorded
sleeping
in
the
rooms
at
the
beginning
and
at
the
end
of the
study
period.
Female
mosquitoes
were
collected
weekly
in
each
village
from
October
1995
to
December
1996.
For
light-trap
catches, a
Centers
for
Disease
Control
(CDC)
light
trap
with
a
piece
of
glucose
soaked
cotton
wool was
suspended
with
the
trap
entrance
^LSm
from
the
floor
next
to
a
bed.
The
trap
was
operated
from
sunset
(==19.00
h)
until
sunrise
the
following
morning
(^06.00
h).
The
same
morning
the
floors
in
the
four
spray
rooms
were
covered
with
white
sheets
and
the
rooms
were
sprayed
with
a
pyrethroid
(2.5%
volume
Pycon
diluted
in
water).
Mosquitoes
were
collected
in
paper
cups
and
brought
to
the
laboratory
in
Muheza.
Mosquito
Processing.
Anopheline
mosquitoes
were
identified
according
to
Gillies
and
Coetzee
(1987).
A
sample
of
suspected
malaria
vectors
caught
in
light
traps
were
dried
and
the
head and
thorax
of
each
mosquito
later
tested
for
Plasmodium
falciparum
sporozoite
antigen
in
an
enzyme-linked
immunosor-
bent
assay
(ELJSA)
adapted
from
Wirtz
(1994).
Blood
meals
from
mosquitoes
caught
by
spray
catch
were
squashed
onto
filter
paper
(Whatman
no.
1).
Smears
were
eluted
in
0.5
ml
coating
buffer
and
tested
in
a
human
IgG
ELISA
adapted
from
B0gh
et
al.
(1998).
Data
Analysis.
Mean
daily
temperature
was
calcu
lated
as
the
mean
of
20
daily
recordings.
The
minimum
and
maximum
monthly
and
yearly
temperatures
were
calculated
as
means
of
the
minimum
and
maximum
value
of
daily
recordings.
Monthly
arithmetic
means
of
the
number
of
mos
quitoes
caught
were
calculated
in
each
of
the
light-
trap
houses.
Missing
catches
were
substituted
with
the
arithmetic
mean
of
the
number
of
mosquitoes
from
the
two
previous
and
the
two
following
weeks
for
that
particular
house,
and
the
substituted
data
used
in
the
calculation
of
monthly
means.
Evaluating
this
method
on
uninterrupted
data
series
by
removing
data
points
showed
this
method
to
give
a
more
realistic
estimate
of the
true
monthly
mean
than simple
omission of
data.
Monthly
vector
densities
in
each
village
were
calcu
lated
as
geometric
means
(GM)
logiO(n+l)
of
the
monthly
averages
of
the
eight
light
traps
in
each
vil
lage.
Monthly
GM
was
used
for
calculations
of
monthly
man
biting
rates
and
inoculation
rates,
and
annual
GM
was
used
for
annual
man
biting
rates.
Numbers
of
mosquitoes
in
each
room
were
divided
by
the
mean
of
the
number
of
people
sleeping
in
the
room,
to
give
the
number
of
host-seeking
mosquitoes
per
person,
the
man
biting
rate
(MBR),
assuming
that
the
light-trap
efficiency
relative
to
human
bait
catch
was
1:1.
Previous
studies
in
Tanzania
had
found
the
light-trap
efficiency
to
be
0.71
and
1.23
(Lines
et
al.
1991a,
Davis
et
al.
1995).
Differences
in
sporozoite
rates
and
parity
rates
between
seasons
and
between
villages
were
analyzed
by
•£
analysis
and
X1
for
trend,
respectively,
using
Epi
Info
6.02.
Remaining
calculations
were
done
using
SPSS
(1999)
version
9.0.0.
The
EIR
rate
was
calculated
as
the
product
of
the
MBR
and
the
sporozoite
rate.
In
villages
in
which
sporozoite
rates
differed
significantly
between
sea
sons,
EIR
was
calculated
by
season,
and
in
villages in
which
no
seasonal
differences
were
detected,
the
EIR
was
calculated
using
the
annual
mean
sporozoite
rate.
Duration
of
the
gonotrophic
cycle
was
calculated
as:
=
36.5°C/(T-9.9°C)
[1]
as
suggested
for
Anopheles
macidipennis
Meigen
(Diptera:
Culicidae)
by
Detinova
(1962),
where
Tis
the
mean
temperature
(°C)
assuming
a
relative
hu
midity
of
60-90%.
Indoor
temperature
was
calculated
as
the
mean
outdoor
temperature
+2.6°C, the
mean
difference
between
indoor
and
outdoor
temperatures.
The
man
biting
habit
a,
the
frequency
by
which
a
vector
will
feed
on man,
was
calculated
as
the
recip
rocal
of
the
duration
of
the
gonotrophic
cycle,
assum
ing
the
frequency
of
human
blood meals
(HBI)
to
be
100%
for
both
Anopheles
gambiae
Giles
sensu
lato
(Diptera:
Culicidae)
and
Anopheles
fimestus
Giles
(Diptera:
Culicidae)
in
all
villages.
Parasite
development
time
n was
calculated
as:
n(days)=lll/(T-fmin)
[2]
as
suggested
by
Detinova
(1962),
where
T,
the
mean
temperature,
is
the
mean
outdoor
temperature
(°C)
+
2.6°C,
and
tmin,
the
minimum
temperature
for
parasite
development,
is
16°C
(Detinova
1962)
orl9°C
(Molineaux
1988).
The
vectorial
capacity
C,
the
potential
number
of
inoculations
with
P.
falciparum
arising
from
one
in
fective
human
per
day,
assuming
that
all
vectors
feed
ing
on
humans
become
infective
(Garrett-Jones
1964),
was
calculated
monthly
for
An.
gambiae
s.
1.
and
An.
funestus
combined
as:
C
=
ma
*
a
*p"*l/
-In p
[3]
where
m
is
the
vector
abundance
relative
to
man
and
a
and
n
are
as
described
above.
The
values
of
the
daily
survival
rates
p
were
purposely
selected
at
fixed rates
of
0.8
or
0.9.
The
basic
reproductive
rate
Rq,
the
total
number
of
new
infections
originating
from
an
infective
human
within
the
entire
duration
of
infectivity,
was
calcu
lated
as:
September
2003
B0DKER
ET
AL.:
MALARIA
TRANSMISSION
ALONG
AN
ALTITUDE
TRANSECT
709
R0
=
C*
365
days
[4|
assuming
the
average
duration
of
human
infectivity
to
be
1
yr,
as
suggested
by
Martens
et
al.
(1994)
for
children
under
5
yr
of
age.
Although
the
number
of
mosquitoes
becoming
infected
by
feeding
on
an
in
fective
human
host
has
been
suggested
to
be
between
60%
and
83%
in
Kenya
(Githeko
et
al.
1992),
it
is
here
assumed
to
be
100%.
Ethics.
Ethical
approval
for
this
study
was
given
by
the
Medical
Coordinating
Committee
of
the
National
Institute
for
Medical
Research
in
Tanzania
and
reg
istered
at
the
Tanzania
Commission
for
Science
and
Technology
as
No
95-217-CC,
96-264-ER-95-121,
and
98-005-ER-95-21.
Results
Climate.
The
rainfall
pattern
showed
two
clearly
defined
peaks
in
1996:
a
large
peak
in
April-May,
the
long
rains,
and
a
much
smaller
peak
in
October-
November,
the
short
rains
(Fig.
2).
All
villages
re
ceived
between
1,000
and
1,300
mm
of
rainfall
in
1996,
except
for
the
village
at
1,000
m,
which
had
1,920
mm
of
rainfall
(Table
1).
There
was
a
seasonal
variation
in
weather
in
all
villages,
with
a
warm
season
peaking
in
January
with
mean
temperatures
5.3-7.1°C
higher
than
the
coldest
month,
July
(Fig. 2).
There
was
a
linear
decrease
in
mean
atmospheric
temperature
with
increasing
alti
tude
of
0.7°C
per
100
m
in
the
warm
season
(30.1-
0.0068
*
altitude;
r*
=
0.97,
P
<
0.001)
and
0.6°C
per
100
m
in
the
cold
season
(23.5-0.0063
*
altitude;
^
=
0.99,
P<
0.001).
The
annual
mean
indoor
temperatures
were
on
av
erage
2.6°C
higher
than
outdoor
temperatures
in
the
six
villages.
The
difference
was
largely
because
of
an
increase
in
annual
mean
minimum
temperatures,
which
were
on
average
3.9°C
higher
indoors
than
outdoors
(Table
1).
Man
Biting
Rate.
A
total
of
2,642
light-trap
catches
collected
18,227
An.
gambiae
s.l.
(93%
of
the
catch)
and
1,445
(7%)
resembling
An.
Junestus.
Anopheles
funestus
from
light
traps
were
difficult
to
distinguish
from
similar
species
because
many
were
damaged
by
the
fan
in
the
light
traps.
Of
the
1,302
An.
funestus,
94
were
identified
as
Anopheles
demeilloni
Evans
(Diptera:
Culicidae),
36
were
identified as
Anopheles
letabensis
Lambert
&
Coetzee
(Diptera:
Culicidae),
12
were
identified
as
Anopheles
rivulorum
Leeson
(Diptera:
Culicidae),
and
1
was
identified
as
Anopheles
parensis
Gillies
(Diptera:
Culicidae).
Anopheles
demeilloni
was
rare
in
the
three
lowest
vil
lages,
but
was
relatively
common
in
the
village
at
1,000
m,
constituting
23%
of
the
An.
funestus
complex
mos
quitoes.
At
1,400
m,
67%
of
the
An.
funestus
complex
mosquitoes
appeared
to
be
An.
deineilloni.
At
1,700
m,
five
An.
detneilloni
and
a
single
An.
parensis
appeared
to
constitute
the
six
An.
funestus
complex
mosquitoes
collected. In
the
analysis,
these
mosquitoes
were
con
sidered
as
An.
funestus
complex
when
collected
in
light
traps.
Geometric
mean
densities
for
An.
gambiae
and
An.
Junestus
complex
peaked
at
the
end
of
the
long
rains,
although
at
1,400
m
there
was
an
additional
peak
in
the
warm
season
(Fig.
2).
Moreover,
An.
Junestus
complex
in
the
village
at
1,000
m
remained
elevated
for
most
of
the
study
(Fig. 2).
There
was
a
strong
decrease
in
annual
MBR
with
increasing
altitude
(Table
2).
Linear
regression
of
log10
annual
MBR
for
1996
suggests
that
the
MBR
dropped
by
50%
for
every
126-m
increase
in
altitude
(Fig.
3;
Iogi0(annual
MBR)
=
4.339
-
0.0024*aItitude,
r*=
1.00;
P<
0.001).
Man
Biting
Habit.
Blood
meals
from
594
An.
gam
biae
s.l.
and
71
An.
funestus
showed
that
nearly
all
mosquitoes
fed
on
people
(Table
2).
Some
of the
negative
blood
meals
may
have
been
of
human
origin,
but
in
a
state
too
digested
to
give
a
positive
identifi
cation,
so
that
the
true
HBI
from
An.
gambiae
s.l.
may
be
very
close
to
100%.
Low
numbers
of An.
Junestus
were
analyzed,
but
similar
high
preferences
for
hu
mans
were
indicated
in
the
three
lowest
villages.
Because
most
blood
meals
were
of
human
origin,
the
man
biting
habit
a
is
simply
the
reciprocal
of
the
duration
of
the
gonotrophic
cycle.
Too
few mosqui
toes
were
caught
in
spray
catches
to
determine
the
duration
of
the
gonotrophic
cycle
directly
by
the
ratio
of
abdominal
stages.
Duration
of
gonotrophic
cycle,
therefore,
had
to
be
estimated
from
known
relation
ships
between
temperature
and
duration
of
egg
de
velopment
in
An.
maculipennis
(Detinova
1962).
Be
cause
the
egg
laying
and
blood
feeding
behavior
is
adjusted
to
a
nightly
activity
pattern,
the
duration
in
the
lowland
village
is
effectively
at
least
2
d
in
the
warmest
month
and
3
d
in
the
coldest
(Table
2).
Sporozoite
Rate.
A
total
of
5,379
An.
gambiae
and
An.
Junestus
complex
mosquitoes
were
examined
for
P.
falciparum
sporozoites
(Table
2).
Significant
sea
sonal
variation
in
sporozoite
rates
was
found
in
An.
gambiae
s.l.
at
300
m
(y2
=
28.5,
df
=
7,
P
<
0.001)
and
at
800
m
(/
=
11.05,
df
=
4,
P
=
0.03),
peaking
August-September,
but
not
at
600
m
(x2
=
5.36,
df
=
4,
P
=
0.25)
(Fig.
4).
No
significant
seasonal
variation
in
sporozoite
rates
was
found
with
the
An.
funestm
complex
in
any
village.
To
minimize
an
impact
of
seasonal
variation,
dif
ferences
in
the
sporozoite
rate
of
An.
gambiae
s.l.
between
villages
were
analyzed with
data
from
a3-mo
period,
around
the
peak
mosquito
density
(April to
June).
Although
sporozoite
positive
An.
gambiae
s.l.
were
found
only
in
the
three
lowest
villages,
there
was
a
significant
decline
in
sporozoite
rates
with
increasing
altitude
(x2
of
slope
=
8.59,
df
=
1,
P
=
0.003).
Com
pared
with the
lowland
village
the
odds
ratios
at
600
m
and
800
m
were
0.71
(95%
CI
=
0.37,
1.35)
and
0.22
(95%
CI
=
0.07,
0.73),
respectively.
Sporozoite
posi
tive
An.
Jkinestus
complex
were
only
found
in
the
villages
at
300
m
and
1,000
m,
and
no
significant
dif
ference
in
sporozoite
rate
was
detected
between
the
two
villages
(/
=
0.26,
df
=
1,
P
=
0.61).
Duration
of
Sporogony.
There
was
a
great
variation
in
the
estimated
sporozoite
development
time
along
the
transect
from
less
than
8
d
to
no
development
at
710
Journal
of
Medical
Entomology
Vol.
40,
no.
5
3
I
*
i
t
3
0.014
-i
0.012
t
70
[■^.f
v^i
rainfall
(cm)
-An.
gambiae
-
-
a-
-
An.
funestus
-temp
max
-
temp
min
Fig.
2.
Monthly
minimum
and
maximum
temperatures
(°C)
and
rainfall
(cm)
(right
axis),
and
monthly
CM
man
biting
rates
(left
axis,
note
that
the
scale
varies
between
villages)
in
the
six
villages.
all.
Because
of
a
disproportionately
large
impact
of
temperatures
near
the
tmin
(16-19°C)
the
duration
of
sporogony
is
greatly
extended
above
800
m
in
the
cold
season
(Fig.
5).
Entomological
Inoculation
Rate.
Because
sporozo-
ite-positive
An.
gambiae
s.l.
were
only
found
in
the
three
lowest
villages,
the
EIR
for
An.
gambiae
s.l.
in
the
three
highest
villages
was
estimated
using
the
average
sporozoite
rate
from
the
nearest
village
(800
m),
thus
ignoring
the
decreasing
trend
in
sporozoite
rate
with
increasing
altitude.
Likewise,
because
positive
An,
funestm
complex
were
only
found
at
300
m
and
1,000
m,
the
EIR
in
the
villages
at
600
m
and
at
800
m
were
estimated
using
the
mean
sporozoite
rates
in
the
villages
at
300
m
and
1,000
m,
and
the
EIR
for
the
An.
funestus
complex
at
1400
m
and
1,700
m
were
estimated
using
the
average
sporozoite
rate
from
the
nearest
village
(1,000
m)
(Table
2).
The
seemingly
high
contribution
of
An.
fitnestus
complex
to
the
EIR
in
the
village
at
1,700
m
may
be
h
to
Table
2.
Entomological
data
for
the
study
villages
(1996)
Average
biting
rate
per
man
per
night
are
given
as
geometric
means
(GM)
with
95%
confidence
intervals
of
annual
catches
in
eight
light
traps
per
village
(Kwamcta,
Magundi,
Kwamhanya,
Bagomoyo,
Balangai,
and
Milungui,
respectively).
The
human
blood
index
(HBI)
was
based
on
n
bloodmeals
from
spray catch
collected
mosquitoes.
Annual
PlasmodiumfaltHjutrum
sporozoitc
rates
are
here
adjusted
for
seasonal
variation
in
vector
densities,
by
weighting
monthly
sporozoite
rates
by
the
monthly
man
biting
rates.
The
estimated
numbers
of
infective
bites
received
per
man
per
year
(ELK)
were
based
on
monthly
GM
man
biting
rates.
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MALARIA
TRANSMISSION
ALONG
AN
ALTITUDE
TRANSECT
713
—An.
gambiae
300
m—■—An.
gamblaa
600
m
-An.
funestus
300
m
- -
X-
-
-An.
funestus
1000
m
-An.
gam
bias
800
m
Fig.
4.
Seasonal
variation
in
sporozoite
rate
(%)
in
the
four
villages
up
to
1,000
m.
Sporozoite
rates
in
the
three
lowest
villages
increased
after
the
main
rainy
season
in
April-May
and
peaked
in
the
following
cool
season.
sities
probably
reflected
the
decreasing
temperature
along
the
transect.
It
is
possible
that
temperature
sim
ply
governs
vector
densities
through
a
direct
physio
logical
effect
on
larval
development
time.
Alterna
tively,
it
may
be
that
temperature
has
an
indirect
effect
on
anopheline
ecology.
We
frequently
observed
pud
dles
packed
with
culicine
larvae
in
the
highlands,
and
it
is
possible
that
An.
gambiae
cannot
compete
with
the
culicine
larvae
in
the
cool
water
in
the
highlands,
rather
than
it
is
temperature per
se
that
limits
the
breeding.
That
complex
ecological
interactions
may
be
involved
in
the
Usambaras
is
supported
by
the
finding
of
high
densities
of An.
arabiensis
Patton
(Diptera:
Culicidae)
in
Ethiopian
highlands
at
similar
temperatures
(Abose
et
al.
1998).
The
indoor
vector
densities
in
the
highland
transect
villages
were
con
siderably
lower
than
those
reported
from
other
East
African
highlands
at
similar
altitudes,
Uganda
(Garnham
et
al.
1948,
Lindblade
et
al.
2000),
Kenya
(Garnham
1948,
Heisch
and
Harper
1949,
Roberts
700
1200
1700
Altitude
(m)
--O---Jan.
Tmln=16
—O—JulyTmln=16
-
-
x-
-
-
Jan.
Tmin=19
—x—
July
Tmln=19
Fig.
5.
The
duration
of
sporogony
was
estimated
for
the
peak
warm
and
the
peak
cold
season
(January
and
July,
respectively)
for
the
six
villages.
Two
estimates
of
duration
were
calculated
for
each
season
assuming
the
minimum
tem
perature
for
parasite
development
to
be
either
16°C
or
19°C,
respectively.
1964,
White
1972),
and
Ethiopia
(Fontaine
et
al.
1961,
Abose
et
al.
1998).
The
main
cause
of
the
reduced
vector
densities
is
almost
certainly
the
much
cooler
climate
in
the
Usambara
highlands
compared
with
other
East
African
highlands.
Even
when
the
lower
temperature
are
taken
into
account,
the vector
den
sities
appeared
to
be
lower
in
the
Usambaras
than
elsewhere.
Almost
all
bloodfed
An.
gambiae
s.l.
and
An.
funestus
caught
had
fed
on
people,
confirming
the
very
anthropophilic
feeding
behavior of
these
vectors
in
East Africa
(White
1971,
White
et
al.
1972).
Both
An.
funestus
and
An.
gambiae
s.l.
are
likely
to
be
as
endophilic
in
the
highlands
as
they
are
in
the
lowlands
(Draper
and
Garnham
1959,
Lines
et
al.
1986).
Therefore,
the
duration
of the
gonotrophic
cycle
and
the
sporogonic
cycle,
will
predominantly
be
determined
by
indoor
temperatures.
Indoor
temper
atures
were
only
recorded
in
a
single
house
in
each
village,
but
are
likely
to
differ
between
houses
de
pending on
the
construction.
Indoor
temperatures
were
on
average
2.6°C
warmer
than
outdoors,
mainly
because
of
an
increase
in
minimum
temperature.
Sim
ilar
increases
have
been
reported
in
the
Kenyan
high
lands
(Haddow
1942,
Garnham
1948).
No
systematic
100
10
0.1
0.01
200
600
1000
1400
Altitude
(m)
1800
Fig.
6.
The
estimated
total
annual
EIR
from
An.
gambiae
s.l.
and
An.
funestus
complex
in
six
villages.
The
EIR
is
pre
sented
on
a
log10
scale.
The
villages
are
connected
with
a
linear
regression
line.
714
Journal
of
Medical
Entomology
Vol.
40,
no.
5
100
T
0.001
0.001
300 600 800
1000
1400 1700
altitude
(m)
—O—(pO.8;16C)
--O--{p0.9;16C)
—X—
(p0.8;
18C)
-
-
-X-
-
(p0.9;
1BC)
Fig.
7.
Reductions
in
annual
mean
daily
vectorial
capac
ity.
The
vectorial
capacity
is
presented
by
its
two
main
com
ponents
(left
axis),
the
relative
density
m
and
the
tempera
ture
and
survival
rate
sensitive
component
(a2
*
p"l—
In
p)
the
latter
calculated
in
four
ways.
Combination
of
two
ex
treme
daily
survival
rates
p
(0.8
and
0.9)
and
two
extreme
values
for
sporozoite
development
(16°C
or
19°C)
were
cal
culated
from
monthly
mean
temperatures
giving
the
four
graphs.
The
values
for
the
two main
components
of
vectorial
capacity
are
shown
in
percent
of
the
value
at
300
m.
The
calculation
of
Rq
was
based
on
the
mean
value
of
the
four
estimates
of
vectorial
capacity
assuming
a
human
infectivity
of
1
yr
(right
axis).
relationship
between
increased
temperature
and
alti
tude
was
detected
in
the
selected
houses,
although
the
greatest
increase
was
recorded
at
the
highest
elevation
where
the
impact
of
cold
nights
were
dramatically
reduced
by
6.5°C
higher
indoor
temperatures.
At
this
elevation,
houses
were
generally
more
draft-proof
and
often
with
ceilings
as
an
adaptation
to
the
cool
climate
(29%
had
ceilings
at
1,700
m
compared
with
0-3%
in
the
other
villages).
We
only detected
sporozoites
in
An.
gambiae
s.l.
and
An.
funestus
complex
indicating
that
the
major
high
land
vectors
were
the
same
as
those
in
the
plains.
Sporozoite
rates
in
An.
gambiae
s.l.
declined
from
300
m
to
800
m
(April-June)
suggesting
that
decreas
ing
temperatures
increased
parasite
development
time,
the
first
time
a
systematic
decrease
has
been
documented
along
a
temperature
transect
in
Africa.
However,
we
did
not
detect
a
decrease
in
sporozoite
rates
in
An.
funestus
complex
between
300
m
and
1,000
m.
The
lowland
sporozoite
rates
of
An.
gambiae
s.l.
followed
a
cyclic
trend,
with
a
minimum
during
the
rainy
season,
where
there
was
a
great
influx
of
young
mosquitoes
to
the
population.
The
sporozoite
rate
then
rapidly
built
up
and
peaked
during
the
cool
season
(July
to
September),
contrary
to
what
is
pre
dicted
from
experimentally
derived
relationships
be
tween
decreasing
temperature
and
increasing
sporo
zoite
development
time
(Detinova
1962).
This
is
possibly
because
vector
survival
rates
increased
after
the
rains.
A
similar
pattern
was
observed
with
An.
funestus
complex
mosquitoes
in
the
lowland.
But
at
1,000
m,
sporozoite-positive
An.
funestus
complex
were
found
just
before
and
in
the
beginning
of
the
long
rains.
From
1,000
m
to 1,700
m
the
low
temper
atures
during
the
cool
season
(17-13°C)
would
sub
stantially
prolong
the
duration of
sporogony
(>30
d).
None
of
the
31
vectors
collected
in
the
two
highest
villages
were
infective
during
the
survey
period.
But
with
estimated
sporozoite
development
times
longer
than
1
mo
at
indoor
temperatures
during
July,
suc
cessful
development
of
sporozoites
appears
unlikely
during
the
cold
season
at
1,000
m
and
above.
The
apparent
shift
of
high
sporozoite
rates
from
the
cool
to
warm
season
at
1,000
m
may
indicate
the
beginning
of
such
a
shift
in
the
cyclic
pattern
in
the
middle
of
the
transect,
with
sporogony
being
restricted
to
the
warm
dry
season
at
higher
altitudes,
albeit
the
data
are
too
few
to
be
conclusive.
But
during
the
warm
season
temperatures
were
high
enough
to
allow
sporozoite
development
up
to
1,700
m.
This
is
because
infective
mosquitoes
were
collected
during
the
cold
season
at
800
m
(19.0°C),
at
a
temperature
similar
to
the
warm
est
monthly
temperature
at
1,700
m
(18.8°C),
we
therefore
conclude
that
the
warm
season
up
to
1,700
m
was
warm
enough
to
sustain
sporozoite
development.
The
notion
that
transmission
at
high
altitudes
is
limited
to
the
warm
season,
from
December
to
March,
is
supported
by
evidence
that
highland
epidemics
occur
at
this
time
of
the
year
(unpublished
data).
High
sporozoite
rates
of
5
and
6%
have
been
re
ported
in
An.
funestus
and
An.
gambiae
s.l.
in
the
Nandi
highlands
in
Kenya,
higher
than
the
rates
in
the
much
warmer
Nandi
lowlands
(White
1972).
The
seasonal
variations
in
sporozoite
rates
in
the
Usambaras
also
demonstrated
that
the
relationship
between
temper
ature
and
sporozoite
rates
in
the
field
may
be
more
complicated
than
previously
thought.
Furthermore,
because
the
human
infectivity
is
likely
to
decrease
with
the
decreasing
endemicity
levels
along
an
alti
tude
transect,
we
conclude
that
there
may
not
be
a
simple
relationship
between
altitude/temperature
and
sporozoite
rate.
Reductions
in
EIR
with
altitude
in
the
four
lowest
villages,
where
sporozoite
rates
were
measured
di
rectly,
was
primarily
caused
by
the
rapid
reduction
in
vector
density,
and
only
secondarily,
and
with
a
much
smaller
impact,
by
a
reduction
in
sporozoite
rates.
Sporozoite
rates
in
An.
gambiae
s.l.
decreased
only
4-fold
from
300
m
to
800
m,
whereas
the
density
of
An.
gambiae
s.l.
dropped
>10-fold.
Anopheles
funestus
complex
showed
no
reduction
in
mean
annual
sporo
zoite
rate
from
300
m
to
1,000
m,
whereas
the
density
of
these
mosquitoes
decreased
more
than
five
times.
Sporozoite
rates
were
impossible
to
measure
in
the
two
highest
villages
because
of
the
low
vector
densi
ties.
An
alternative
measure
of
exposure
risk
is
vec
torial
capacity,
which,
unlike
EIR,
has
the
advantage
that
it
can
be
estimated
without
measuring
sporozoite
rates.
Because
precise
values
for
daily
survival
rates
716
Journal
of
Medical
Entomology
Vol.
40,
no.
5
Acknowledgments
We
thank
A.
Telaki,,B.
Chambika,
F.
Msuya,
and
J.
Nyon-
gole
at
Ubwari
Field
Station
for
their
hard
work
in
the
field;
.
and
M.
Malimi
and
J.
Kivugo
at
Bombo
Hospital
Field
Station
and
F.
Shenton
for
helping
with
the
ELISAs.
We
are
grateful
.
for
the
patient
collaboration
from
all
the
owners
of
the
houses
where
we
collected
mosquitoes
and
for
the
excellent
work
done
by
the
six
village
assistants.
Reagents
used
in
the
ELISA
procedure
to
test
for
P.
faicipanim
sporozoites
were
kindly
provided
by
Robert
A.
Wirtz,
Centers
for
Disease
Control
and
Prevention,
and
were
produced
by
SmithKline
Beecham
(Pf-positive
controls)
and
New
York
University
(Pf
Mab
cell
line).
These
reagents
were
developed
with
support
from
the
UNDP/World
Bank/WHO
Special
Program
for
Research
and
Training
in
Tropical
Diseases.
The
project
was
funded
by
the
Danish
Council
for
Development
Research
and
the
Danish
Bilharziasis
Laboratory.
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around
Kisumu,
Kenya.
Trans.
R.
Soc.
Trop.
Med.
Hyg.
66:
572-581.
Wirtz,
R.
A.
1994.
Sporozoite
ELISA
directions.
Walte:
Reed
Army
Institute,
Washington,
DC.
Received
for
publication
2
October
2002;
accepted
9
May
2003.
... Teklehaimanot et al. (2004) observed that in colder districts, the lag effect of precipitation persists longer compared to warmer regions. This is because the temperature needs to be sufficiently warm for the development of mosquito populations, and the population growth is delayed in colder areas (Alto et al. 2001;Bødker et al. 2003). Consequently, the delayed effect lasts longer in colder districts, while in warmer districts, the impact diminishes due to increased evaporation and drying of potential breeding sites over time (Teklehaimanot et al. 2004). ...
... At these temperatures, it takes over a month for the sporogony cycle to be completed. Consequently, in higher, colder areas, the development of parasites in mosquitoes is limited and therefore the proportion of contagious malaria vector is reduced, leading to a decrease in malaria transmission (Bødker et al. 2003). These two factors therefore indicate that a slight increase in minimum temperature has a greater effect in colder districts. ...
Thesis
Full-text available
In 2019, malaria affected over 229 million people across 87 countries, with 29 countries accounting for more than 95% of cases, predominantly in Africa. Nigeria, the Democratic Republic of the Congo (DRC), Uganda, Mozambique, and Niger collectively contributed over 51% of global cases. Malaria remains one of the most widespread parasitic diseases, causing over 409,000 deaths annually, primarily in Africa, with children under five and pregnant women being most affected (World Health Organization 2020). Climatic factors like precipitation and temperature significantly influence malaria transmission (Teklehaimanot et al. 2004). Temperature is positively correlated with malaria cases in Africa and Asia, while the relationship with precipitation is complex. Heavy rainfall can disrupt mosquito breeding habitats, but warm temperatures facilitate mosquito and parasite development. Studies reveal temporal lags between climate events and malaria outbreaks, though recognizing delays in dynamic systems is challenging and varies by system type (Craciunescu et al. 2019). However, the understanding climatic factors and their impacts on malaria is crucial for effective monitoring and accurate predictions. A combined approach using various statistical methods and remote sensing data is essential to identify driving mechanisms, necessitating small-scale studies due to system complexity and variability. Therefore, this study investigates the delayed coupling effects of climatic factors on malaria incidence in North Kivu, DRC, using climate parameters such as Land Surface Temperature (LST), precipitation, Normalized Difference Vegetation Index (NDVI), and Soil Moisture (SM). A further goal is to define threshold values for predictors in an early warning system indicating increased malaria risk in North Kivu. The focus is on the regional and seasonal differences in temporal dependencies and threshold values, which are considered in this study. Data from satellite sensors, are analyzed using Cross-correlation Analysis (CCA), Transfer Entropy (TE), Distributed Lag Non-linear Model (DLNM), and Superposed Epoch Analysis (SEA). The study spans 2013 to 2022, with weekly resolution and various spatial scales, considering seasonal variations. In this study, it was found that there is a significant temporal lag between satellite-derived environmental indicators and malaria cases, with notable regional and seasonal variations. LST shows a lag of 8-10 weeks in cooler zones (Bambo, Manguredjipa) and 3-5 weeks in warmer zones (Kibua, Rutshuru). Precipitation impacts malaria cases immediately in the hottest zone (Kibua), but with a 7-week delay in cooler zones. NDVI displays delayed effects similar to LST, with 5-6 weeks in hotter zones and 8 weeks in cooler zones, mirroring findings in Ethiopia. SM's delayed effects are less consistent, showing a 6-week peak in cooler zones and an 8-week delay in Kibua. Seasonal variations reveal that LST effects are more immediate in the dry season (2-4 weeks) compared to the rainy season (6-8 weeks), while precipitation impacts are shorter during the rainy season (2-6 weeks) and delayed in the dry season (4 weeks). DLNM analyses indicate threshold values for LST, precipitation, NDVI, and SM, with LST risk increasing between 22-25°C, and rainfall effects being non-significant up to 7-11 mm/d. NDVI effects are negative up to 0.2, with increased risk above this threshold, and SM effects are non-significant up to 40-60%.
... Historically, malaria was predominantly found in low altitude regions, however, there has been a notable shift, with the disease now spreading to high altitude areas that were previously unaffected attributed to environmental and vector alterations [17][18][19][20]. In high altitude, factors such as changes in rainfall patterns, rising temperature and agricultural practices are believed to play a role in the heightened transmission of malaria in these regions [21]. Warmer temperatures also influence the behaviour and physiology of mosquitoes and responses to warmer and drier conditions among mosquito populations suggest genetic adaptations that could enable their survival and evolutionary response to climate change [22]. ...
Article
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Background Malaria, which affects over half of the world’s population, is controlled through clinical interventions and vector control strategies. However, these efforts are threatened by resistance to anti-malarial drugs and insecticides, as well as affected by environmental, ecological, and climatic changes. This study examined changes in malaria prevalence and related factors based on data from 18 cross-sectional surveys conducted in two villages in northeastern Tanzania. Methods From 2003 to 2021, annual cross-sectional malariometric surveys were conducted in two study villages, Mkokola (lowland) and Kwamasimba (highland), samples collected to determine Plasmodium falciparum infection and human exposure to malaria vector Anopheles. Pearson's chi-squared test was used for comparing proportions, logistic and linear regressions test were used analyse associations. Generalized Estimating Equations (GEE) was used to analyse the relationship between malaria prevalence and climatic variables. Results Malaria prevalence in Kwamasimba and Mkokola dropped from ~ 25% and ~ 80% to 0% and 1%, respectively, between 2003 and 2011, reaching 0% in both villages by 2014. This decline was associated with increased bed net use and reduced exposure to Anopheles bites. However, between 2018 and 2021, prevalence resurged, with Kwamasimba reaching 2003–2004 levels despite high bed net use. Between 2003 and 2021 there was an increasing trend in average monthly maximum temperatures (R2 = 0.1253 and 0.2005), and precipitation (R2 = 0.125 and 0.110) as well as minimum relative humidity (R2 = 0.141 and 0.1162) in Kwamasimba and Mkokola villages, respectively, while maximum relative humidity slightly decreased. Furthermore, during 2003–2011, malaria prevalence was positively associated with temperature, maximum temperature, and relative humidity, while precipitation showed a negative association (Estimate:− 0.0005, p < 0.001). Between 2012–2021, all climatic factors, including temperature (Estimate: 0.0256, p < 0.001), maximum temperature (Estimate: 0.0121, p < 0.001), relative humidity (Estimate: 0.00829, p < 0.001), and precipitation (Estimate: 0.000105, p < 0.001), showed positive associations. Conclusion From 2003 to 2014, malaria prevalence declined in two Tanzanian villages but resurged after 2018, particularly in highland Kwamasimba. Most likely, vector dynamics affected by changing climatic conditions drove this resurgence, emphasizing the need for adaptive, climate-informed malaria control strategies.
... The disease remains endemic in most parts of the country, with transmission occurring throughout the year although it peaks during the rainy season. The transmission also tends to increase with a decrease in altitude as lower altitudes are characterized by temperatures above 17 °C, which favour the breeding of and development of vectors and parasites 3,4 . Pfinfection transmission is heterogeneous and may be influenced by a variety of factors including socioeconomic position, climate, ecology, vector behaviour, and use of malaria preventive interventions 5 . ...
Article
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This study investigated the mediators of the association between socioeconomic position (SEP) and Plasmodium falciparum (Pf) infection in Southern region of Malawi. We utilized data from the 2014 International Center of Excellence for Malaria Research (ICEMR) surveys from Malawi in which blood samples of all individuals from selected households in Blantyre, Thyolo and Chikhwawa were tested for Pf parasitemia. We assessed household SEP and potential mediators – housing quality, food security, education status of household heads, and use of long-lasting Insecticide-treated nets (LLINs) and nutritional status. We conducted causal mediation analyses to assess the proportion of SEP effect that is attributed to each mediator and combination of mediators. The mediation analysis shows that during the rainy season, improved housing and educational attainment explained 39.4% and 17.0% of the SEP effect on Pf infection, respectively, and collectively 66.4%. In the dry season, housing, educational attainment, and LLIN usage collectively mediated 33.4% of SEP’s effect with individual contributions of 15.6%, 11.2%, and 3.8%, respectively. Nutrition also played a role, particularly for children, mediating 9.2% of SEP’s effect in the rainy season and 3.7% in the dry season. The study concluded that multifaceted interventions targeting housing, education, LLIN usage, and nutrition are vital to reducing socioeconomic disparities in Pf infection risk in the Southern region of Malawi.
... Anopheles arabiensis is the primary vector of malaria, with Plasmodium falciparum and Plasmodium vivax being the two most common parasites [8] . Temperature, precipitation, and altitude all affect the seasonality of transmission [9,10] . An estimated 68% of the population is at risk of contracting malaria, with over half (60%) of the country's population living in malaria-prone areas [11] . ...
... Meanwhile, altitude-related variables and marginalization also seem important to explain the distribution of both mosquito types. Altitude changes are known to directly affect climatic conditions, such as temperature and humidity (Bødker et al., 2003;Patz et al., 2003), which in turn are ecological drivers for mosquitoes (Hug et al., 2023;Fletcher et al., 2023). Marginalized areas provide a range of novel habitats that facilitate breeding sites and less interspecific competition (owing to the loss of mosquito diversity in highly urbanized areas) (Barrientos-Roldán et al., 2022;Fletcher et al., 2023). ...
Article
Mosquitoes of vectorial importance represent a ubiquitous and constant threat of potentially devastating arbo­ viral outbreaks. Our ability to predict such outcomes is still restricted. To answer this, we have used an extensive data collection of 23 vector and 233 non-vector mosquito species distributed throughout the Mexican territory and linked them to social and environmental factors. Our aim was to predict vector and non-vector mosquitoes’ distribution and species richness based on socioeconomic and environmental data. We found that lack of health services, human population variation, ecological degradation, and urban-rural categorization contributed significantly to explain the distribution of vector mosquitoes. mosquitoes. This phenomenon is probably attributed to the degradation of natural ecosystems as it creates favorable conditions for the proliferation of vector mosquitoes. The richness of vector mosquitoes was similarly explained by most of these variables as well as altitude. As for non-vector mosquitoes, social marginalization, ecological degradation, anthropogenic impact, and altitude explain species richness and distribution. These findings illustrate the complex interaction of environmental and socioeconomic factors behind the distribution of mosquitoes, and the potential for arboviral disease outbreaks. Areas with human populations at highest risk for mosquito-borne diseases should be primary targets for vector control.
Article
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Study’s Excerpt The relationship between altitude and malaria transmission dynamics in Plateau State, North-Central Nigeria, is assessed. The highest malaria prevalence was observed at lower altitudes and vice-versa. Environmental factors (altitude) have an influence on malaria epidemiology in the region. Full Abstract This longitudinal study assessed the prevalence of human malaria infection across different altitudinal zones in Plateau State, North-Central Nigeria, aiming to identify the impact of altitude on malaria transmission dynamics. Malaria is a potentially lethal disease caused by protozoan parasites called Plasmodium. Abiotic factors are known to be the main factors influencing the epidemiology of the disease. In 2018 and 2019, blood samples were taken and examined for the presence of Plasmodium falciparum malaria using the SD-PAN Ag mRDT. After that, blood film slides were created in order to calculate the parasite density for each of the four seasons' worth of positive samples. The prevalence rates of malaria in the three locations vary significantly, with the highest rates observed at lower altitudes (Pangwasa 211m) above sea level and the lowest at the highest altitude (Vwang 1330m) above sea level. Vwang has the lowest malaria prevalence of 16.25%, Jing (663m) has a higher prevalence of 40.0%, and Pangwasa has the highest prevalence at 46.9.
Article
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The analyses of spatially misaligned data sets are on the rise, primarily due to advancements in data collection and merging of databases. This paper presents a flexible and fast Bayesian modelling framework for the combination of data available at different spatial resolutions and from various sources. Inference is performed using INLA and SPDE, which provides a fast approach to fit latent Gaussian models proving particularly advantageous when dealing with spatial and large datasets. The Bayesian modelling approach is demonstrated in a range of health and environmental settings. Specifically, a spatial model is developed to combine point and areal malaria prevalence data, and to integrate air pollution data from different sources. These examples illustrate how to manage data at disparate spatial scales to yield more precise predictions and improved estimation of associations. A spatial model is also specified to estimate the relative risk of lung cancer and assess its relationship with covariates that are misaligned with the response variable. This showcases the model’s ability to effectively synthesize misaligned health outcomes and environmental exposure data. These case studies highlight the adaptability of Bayesian spatial methods in overcoming the challenges posed by spatial data misalignment, thus providing valuable insights for decision-making in health and environmental fields.
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Background : Assessing vector bionomics is crucial to improving vector control strategies. Several entomological studies have been conducted to describe malaria transmission in different eco-epidemiological settings in Cameroon; knowledge gaps persist, particularly in highland areas. This study aimed to characterize malaria vectors in three localities along an altitudinal gradient in the western region: Santchou (700 m), Dschang (1400 m), and Penka Michel (1500 m). Methods : Human landing catches were conducted from May to June 2023 from 6:00 pm to 9:00 am. Mosquitoes were sorted into genera, and all Anopheles species were identified using morphological taxonomic keys and species-specific Polymerase Chain reaction (PCR). Entomological indicators were assessed including species composition and abundance, biting behavior, infection rate, and entomological inoculation rate (EIR). Genomic DNA from the head and thoraces were tested for Plasmodium infection by real-time PCR. Results : 2,835 Anopheles mosquitoes were identified, including An. gambiae, An. coluzzii, An. funestus, An. leesoni, An. nili, and An. ziemanni , with An. gambiae being the most prevalent at all sites. The human-biting rate of An. gambiae s.l. was significantly higher (p-value < 0.001) in Penka Michel compared to Santchou and Dschang (45.25 b/h/n vs 3.1 b/h/n and 0.41 b/h/n), and appears to be the most infected vector, and infectious vector distribution is highly focal, with entomological inoculation rates 13-fold higher in Penka Michel compared to Santchou (1.11 vs 0.08ibites/human/night). P. falciparum was the dominant malaria parasite (67% at Santchou, 62% at Penka Michel), but P. malariae (30%) and P. ovale (1.21%) infections were also detected. Conclusion : The study highlights a difference in mosquito composition and host-seeking behavior with altitude and the need for continued surveillance to monitor vector populations and prevent potential malaria outbreaks in these highland areas.
Article
Background: Highlighting the individual, host-vector interactions, and environmental risk factors for knowlesi malaria were consequential toward more focused and effective prevention and control strategies. This study aims to identify the individual, host-vector interactions, and environmental risk factors for Plasmodium knowlesi malaria among at-risk communities in Peninsular Malaysia. Materials and Methods: A case-control study was conducted involving laboratory-confirmed cases of P. knowlesi malaria, while a locality-matched individual with no history of fever and tested negative for malaria was taken as control. Univariate and multiple logistic regression were applied to evaluate the potential risk factors among respondents using IBM SPSS Statistics for Windows, Version 26.0. Results: Results showed higher cases among males as compared to females (76.1% vs. 23.9%). Multiple logistic regression analysis showed being male is 3.51 higher risk (p < 0.001) to become a case. Respondents whose place of work or study is near the forest edge have 44.0% lower risk (p = 0.030), while those living in the Orang Asli village were 56.0% lower risk as compared to the organized village to become a case (p = 0.035). Conclusion: These findings demonstrated that gender emerges as an independent individual risk factor while residing near a forest edge, in an Orang Asli village, or occupying workers' longhouses situated in hilly areas lowered the environmental risk among respondents. These findings attested that alternative directions must be considered in addressing the known risk factors associated with this type of malaria and the design of prevention and control programs should be tailored to the unique characteristics of each population.
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Malaria, according to the World Health Organization, is one of the most serious and complex health problems facing humanity in the 20th century. In the past, climatic changes have greatly affected its geography. Its seriousness and complexity are therefore likely to be compounded by an anthropogenic greenhouse effect. The Malaria Potential Occurrence Zone (MOZ) model was designed to calculate first-order estimates of climate change impacts on malaria. MOZ focuses on the climatic determinants of the life cycles of malaria parasites and vectors. It does not take epidemiology into account. MOZ predicts receptivity, or potential transmission, rather than actual occurrence. MOZ indicates that the intensity and the extent of malaria potential transmission significantly change under the climate change scenarios generated by five atmospheric general circulation models. All five simulations reveal an increase in seasonal malaria at the expense of perennial malaria. This is cause for great concern. Indeed, seasonal malaria is most likely to lead to epidemics among unprepared or nonimmune populations. Moreover, climate change may trigger massive migrations of environmental refugees. Such population movements would likely put national and international health infrastructures under severe stress. Today, malaria is a developing country issue but could spread to higher latitudes. The results obtained with MOZ suggest that malaria could become a public-health problem for developed countries within decades.
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Full-text available
Mosquitoes were caught in bedrooms in Tanzanian villages by human-biting catches and in light-traps set close to occupied untreated bed nets. Catches by each method were carried out on pairs of nights in the same week at different seasons and in different villages. The pairs of adjacent catches by the different methods showed a strong correlation. Analysis of the ratio between the catches by the two methods on pairs of nights in the same week indicated that on average three light-traps caught about the same number of mosquitoes as a team of two human catchers. The ratio did not differ significantly between Anopheles gambiae Giles (sensu lato), A. funestus Giles, and Culex quinquefasciatus Say, nor between the villages, or between times when mosquito populations were high or low. The distribution of numbers of ovarian dilatations differed significantly between catches in different villages and seasons but not between pairs of catches by the two methods. Similarly, the parity and sporozoite rates agreed between pairs of light-trap and house-resting catches, but differed markedly between villages and seasons. Thus it is concluded that light-traps used in conjunction with bed nets catch a representative sample of the vectors which would have bitten humans in bedrooms in this area.
Article
Owing to favourable soil and climatic conditions, the naturally forested highlands of Tanzania have a comparatively high potential for agriculture. Major limiting factors are drought damage and erosion. The severity of these depend on the interaction between land use practices, soil/ topography and climate. As a result of rapid population increase land use practices are becoming more intensive, resulting in deteriorating soil structure. This in turn will lead to changed relations between climatic features on the one hand and crop and soil damage incidence on the other. The report is based on analyses of rainfall, interception and evaporation data in a forest and a small clearing in the Mazumbai Forest Reserve in the Usambara Mts. in NE Tanzania, obtained from measurements carried out 1971–1976, and of monthly rainfall data from the period 1945–1976 from the nearby Mazumbai Estate. The mean annual rainfall in Mazumbai is 1227 mm but the variability is great. Standard deviation from the mean (based on a record of 32 years) is 324 mm and the rainfall likely to be exceeded in 4 years out of 5 is 950 mm. The highest annual rainfall recorded in the period is 1864 mm and the lowest 721 mm. April and May have high (180 and 250 mm) mean monthly rainfall, all other months have an average between 50 and 100 mm, but the variation from year to year is very high and any month, except April and May, may be completely dry. Prolonged droughts, i.e. two or more consecutive months with less than 50 mm of rain are frequent. In the 32-year period two very long such droughts have occurred (5 and 6 months), when only 30–35 % of normal rainfall was received. The longest dry spell (i.e. four or more consecutive days with less than 0.25 mm rain) recorded in the clearing lasted for 35 days. Spells of shorter duration are frequent and may occur any time, also during the long rains (April—May). Mean number of rain-days (>0.25 mm rain) per year in the forest clearing was 125, the maximum monthly value occurring in May with 20 rain-days and the minimum in January with 7 rain-days. The mean rainfall per rain-day is 10.3 mm (max. in May with 15.4 mm and min. in August with 4.9 mm). The highest daily rainfall recorded was 102.4 mm. Rain-days with less than 5 mm rain account for 50 % of the total no. of rain-days but only 11 % of the total rainfall. Total throughfall in the forest, i.e. rainfall at 0.5 m under closed canopy, during 2 1/2 years measurements, amounted to 78 % of rain received in the open. Neglecting stemflow, this gives a rain interception of the forest canopy of 22 %. Evaporation measured at 1.5 m height above ground with Andersson evaporimeters was five times higher in the clearing than in the forest–677 mm and 127 mm respectively per year. The seasonal variation in evaporation was much larger in the clearing than in the forest. In the final discussion it is pointed out that the incidence of land damage, in the form of erosion or reduction of crop growth, caused by climatic events such as intensive rains and prolonged droughts, will increase rapidly in the Usambara Mts., as a result of land use practices causing deterioration of soil structure.
Article
Parallel monthly surveys of children aged 6–71 months were conducted in the Muheza district of Tanzania. The aim was to compare highland villages, where the mean, annual entomological inoculation rate (EIR) for malaria is 34 and mean annual prevalences of parasitaemia range from 33%–76%, with culturally similar villages of the lowlands, where the mean EIR is 405 and prevalences of parasitaemia range from 80%–84%. The total survey population could be divided into six geographical subgroups, which can be arranged in order of increasing prevalence of parasitaemia. The prevalences of dense parasitaemia, of febrile malaria, and of anaemia all increased in the same order across this series of groups, the trends being statistically significant. The results of previous studies have indicated a paradoxical effect whereby children in regions with a lower exposure to malarial infection suffer, in the long term, a higher incidence of severe attacks of malaria. In the present study there was no sign of any such paradoxical inverse relationship between the level of exposure and the prevalence of malarial illness or anaemia. However, child mortality rates are similar in the highlands and lowlands, as are the median ages of children admitted to hospital. Overall, the present findings indicate that, for the populations studied, an artificial reduction in EIR would be beneficial, even in the long term, with regard to the chronic effects of malaria. This does not necessarily conflict with previous studies reporting opposite conclusions with regard to the incidence of severe, acute effects.
Article
From previous studies in Garki, Nigeria, it was deduced that the population of Anopheles gambiae Giles s.l. there includes a proportion of individuals which consistently rest out of doors and are therefore not vulnerable to insecticide residues inside houses, but may still be able to maintain malaria transmission. A direct test for the existence of such individuals in A. gambiae s.l. and A. funestus Giles in a village in Tanzania was made by catching resting mosquitoes indoors and in outdoor pits, differentially marking them according to their site of capture and releasing them from a single site. Recaptures indoors and in the pits showed no significant association between the sites of capture and recapture among the females of either species, i.e. no evidence for an invariably outdoor-resting type of female. It is concluded that behavioural polymorphism is unlikely to interfere with the successful use of house spraying for malaria control in this area. From data on the proportion of the captures found to be marked and on the parity rate, estimates were calculated of the total mosquito population available for sampling in the village.