Title: Surveillance and spatial analysis of vectorborne diseases
1Surveillance and spatial analysis of vector-borne
diseases
- FioCruz, Rio, Brazil
- 19 Março 2007
Uriel Kitron Dept. of Pathobiology and Center
for Zoonoses Research University of Illinois
2Elements of disease surveillance and control
- Data sources
- Data layers
- Data storage
- management
- Data integration
- Data analysis
- Data visualization
- Application
- dissemination
3Sources existing tools for spatial data
- Field data
- Surveillance data
- Environmental data
- Data Analysis
- Approaches
- GPS
- GIS
- Remote sensing
- Spatial statistics, time series, dynamic models
- Landscape ecology epidemiology
Metapopulation biology Ecological risk assessment
SCALE
4Geographic Information Systems (GIS)
A system to capture, manage, manipulate,
analyze, model, display spatially referenced
data for research, management and planning
Human cases
Human settlements
Water bodies
Soil type
Vegetation data
Adult mosquitoes
5Spatial Statistics Geostatistics
- Global clustering
- (spatial autocorrelation, K
function, join counts) - Local clustering (hot spots)
- interpolation smoothing and kriging
- Spatial filtering
- (screening of spatial components)
- Spatial - temporal processes
6First Law of Geography (Tobler 1979)
- Everything is related to everything else, but
- near things are more related
- than distant things.
Calculation of Spatial Statistics
Based on giving weight to the distances between
items of interest
7Role of GIS, remote sensing spatial analysis
in VBD research
- Analysis of transmission dynamics on multiple
scales - Consideration of complex role of landscape
climate - Development of predictive spatial models and
risk maps
SCALE
8Temporal and Spatial Scale and Resolution
- Geographic - ranging from the village/town to the
continental level - Temporal - ranging from the duration of an
outbreak, through the seasonal to multi-year
models - Multiple scales can be considered simultaneously
or in succession, but with caution
9Some examples Vector borne zoonoses
- 1. Chagas disease distribution,
habitat modification and role of various
zoonotic hosts - 2. West Nile virus - introduction and
distribution in an urban area - (3. Malaria space-time association of
cases in Trinidad)
10Zoonotic Vector-borne diseases (VBD) transmission
system
Humans (domestic
animals)
Vector
Pathogen
Reservoir Host(wildlife)
Environment
112. Eco-Epidemiology of Chagas Disease in
northwest Argentina
- Univ. of Buenos Aires, Argentina
- National Vector Control Program, Argentina
- Instituto Fatala Chabén, Argentina
- CNRS-IRD, France
- Rockefeller University, NY. USA
- CDC, USA
- Univ. of IllinoisSupported by NIH/NSF EID
Program through FIC
12CHAGAS DISEASE
- ZOONOSIS CAUSED BY PROTOZOAN
- TRYPANOSOMA CRUZI.
- ONLY IN THE AMERICAS.
- ONLY INFECTS MAMMALS.
- 10-18 MILLION PEOPLE INFECTED,
- 30 AFFECTED BY HEART DISEASE.
- MOST INFECTIONS INITIALLY
- ASYMPTOMATIC, PROGRESS TO CHRONIC.
- MAIN ROUTES OF INFECTION
- VECTOR-BORNE
- FROM MOTHER TO NEWBORN
- BLOOD TRANSFUSION
- NO VACCINE.
- NO EFFECTIVE DRUGS FOR CHRONICS.
SWOLLEN EYE IN 5 OF CASES
13Life cycle of Trypanosoma cruzi
14COMPLEXITY OF TRANSMISSION CYCLES OF T. cruzi
Zeledón R. CIBA Foundation Symposium, 1974.
15Chagas study - Specific Aims
- Analyze spatial temporal pattern of
reinfestation by triatomine bugs and T. cruzi
infection in bugs, dogs and people - Identify mechanisms underlying these patterns
- Determine source of colonizing vectors and of T.
cruzi infection using morphometrics and molecular
analyses - Develop empirically based, spatially structured
mathematical models of reinfestation and
transmission - Develop risk maps at village, Department and
Province-wide levels
16Eco-Epidemiology of Chagas Disease In Northwest
Argentina study area
Departamento Moreno
Landsat Thematic Mapper
Santiago del Estero Province
Amama
17STUDY AREA, 2002
18Typical Compound with home and multiple
peridomestic structures
19Peridomestic Structures refuge for bugs and
sources for reinfestation
Pig corral
Storeroom
Goat corral
20Mapping and geostatistical tools
Sketch maps made in the field during 1993-2002
Ikonos Satellite imagery (1-4m2)
Digital map for each village
Joining of attribute data to a GIS file
Clusters of high infestation and potential
sources of community reinfestation
SPATIAL STATISTICS
21Georeferencing - relating infestation data to
locations
22Reinfestation by T. infestans (5 years
post-spraying)
23Gi(d) local spatial statistic
- Gi(d) ?j Wij(d) xj
- ?j xj
- Wij(d) is a spatial weights matrix with
- values of one for all links within
- distance d of a given I
- Concern about multiple comparisons
- (need to adjust significant z value)
We used Gi(d) to detect local and focal
clustering of infestations (number of bugs per
structure)
24FOCAL ANALYSIS OF REINFESTATION IN AMAMÁ
Primary source of T. infestans 1993
Subsequent infestations were clustered around an
initial focus at a distance of 450 mts.
Potential secondary sources fell within the range
of the clustering around the primary source.
Cecere et al. 2005. Am. J. Trop. Med. Hyg.,
71(6) 803810.
25Moving upscale - Including other
villages. Internal and external sources of
reinfestation.
Trinidad
Mercedes
External sources Villages not sprayed and
located within 1,500 m of the treated villages.
Cecere et al. EID, 2006
26RECOMENDATION
An effective control program on the community
level would entail residual spraying with
insecticides of the colonized site and all sites
within a radius of 450 m, and all communities
within 1,500 m of the target community in order
to prevent the subsequent propagation of T.
infestans
27Reinfestation by a sylvatic bug T. guasayana
Abundance of T. guasayana by site was
significantly clustered.
High density of free-ranging goats and natural
ecotopes determined the clustering of T.
guasayana.
Vazquez-Prokopec et al. 2005. J. Med. Entomol.
42 571-581.
28Abundance and spatial distribution of T.
guasayana were positively associated with the
local density and spatial distribution of goats.
29No association with abundance and spatial
distribution of pigs or chickens.
30- Are dogs and cats reservoir hosts of T. cruzi?
- What is the relative role of dogs and cats as
sources of T. cruzi to domestic T. infestans
bugs? - What variables do we need to measure for this
purpose? - What is the natural course of infection and
infectiousness in domestic dogs and cats?
31SEROPREVALENCE SURVEYS OF DOGS USING ELISA, IHA
AND IFAT ? INFECTION
Marcela Orozco, Francisco G. Petrocco y Cruz
Pino, 2003.
32XENODIAGNOSIS OF DOGS BY USING INSECTARY-REARED,
NON-INFECTED BUGS THAT BLOOD-FEED TO REPLETION ON
EACH DOG ? INFECTIOUSNESS
TWO WOODEN BOXES WITH 10 NON-INFECTED BUGS EACH,
INDIVIDUALLY EXAMINED FOR INFECTION 30 AND 60
DAYS LATER
Francisco G. Petrocco, 2003.
33BEFORE ANY CONTROL INTERVENTIONS AGE-SPECIFIC
PREVALENCE OF T. CRUZI IN DOGS IN TWO VILLAGES
FORCE OF INFECTION (?) 43-73 PER YEAR
BASED ON A S ? I MODEL, ASSUMING AGE- AND
TIME-INDEPENDENT TRANSMISSION, NO SERORECOVERY
AND NO DIFFERENTIAL SURVIVAL DUE TO T. CRUZI.
Gürtler et al. Am. J. Trop. Med. Hyg. 73 95-103,
2005.
34HETEROGENEOUS DISTRIBUTION OF INFECTIOUSNESS TO
BUGS OF DOGS SEROPOSITIVE FOR T. CRUZI
Superspreaders
Gürtler et al. Parasitology 134 1-14, 2006.
35INFECTIOUSNESS OF SEROPOSITIVE DOGS ASSOCIATED
INVERSELY WITH NUTRITIONAL AND APPARENT CLINICAL
STATUS
Petersen et al., Parasitol. Res. 87208-14, 2001.
36AGE-RELATED DECLINE IN THE PREVALENCE OF
INFECTIOUS DOGS AND IN THE INFECTIOUSNESS TO BUGS
OF SEROPOSITIVE DOGS
37HOST-VECTOR CONTACT IN DOMESTIC SITESDOGS AND
CHICKENS PREFERRED TO HUMANS RELATIVE TO HOST
AVAILABILITY
38VERANDA WHERE PEOPLE, DOGS AND CATS SLEEP AT
NIGHT FOR 5-7 MONTHS A YEAR
Amamá, 1983
39RELATIVE CONTRIBUTION TO TRANSMISSION OF DOGS
TO CATS TO HUMANS14 5 1? Dogs are the
most IMPORTANT RESERVOIR HOSTS, but cats also
play a role
- INDEX BASED ON MULTIPLYING
- HOST-SPECIFIC BLOOD MEAL INDICES,
- HOST PREVALENCE OF INFECTIOUSNESS,
- HOST INFECTIOUSNESS TO BUGS.
40SOME CONCLUSIONS
- DOGS ARE A KEY FACTOR FOR DOMESTIC TRANSMISSION.
- REMOVING INFECTED DOGS SHOULD DECREASE THE
INTENSITY OF HOUSEHOLD TRANSMISSION OF T. cruzi. - EFFECTIVE VECTOR SURVEILLANCE LEADS TO THE
NATURAL ELIMINATION OF INFECTED DOGS - ? CULLING OF INFECTED DOGS NOT NEEDED.
- DOMESTIC DOGS COMPLY WITH ALL THE IDEAL
CHARACTERISTICS OF AN ANIMAL SPECIES AS SENTINEL
OF T. CRUZI TRANSMISSION.
41STUDY AREAS OVER TWO DECADES AMAMA (RED), CORE
(BLUE), PERIPHERAL (GREEN) 2500 SQ. KM.
2002--
1985--
40 houses
1992--
130 houses
300 houses
1988--
600 houses
42 Moreno Department
5,439 houses, 2,911 rural houses, 275 villages,
25,000 habitants.
Vazquez-Prokopec et al
43 Department level clustering of infestation
5,439 houses, 2,911 rural houses, 275
villages, 25,000 habitants
Vazquez-Prokopec et al
Significantly associated with human population
density, density of rural houses, density of
houses with dirt floors
44HETEROGENEITY AT VARIOUS LEVELS
- BUG ABUNDANCE AT DOMESTIC AND PERIDOMESTIC SITE
LEVELS - HOST INFECTION 'INFECTED HOUSEHOLDS'
- HOST INFECTIVITY TO BUGS 'SUPERSPREADERS'
- SPATIAL DISTRIBUTION OF INFECTED DOGS WITHIN AND
AMONG VILLAGES gt 'HOTSPOTS OF TRANSMISSION' - gt VERY FOCAL TRANSMISSION
45Prerequisites for an active zoonotic VBD focus
- Vector survival
- Presence of reservoir hosts
- Pathogen transmission
- Opportunities for human/animal exposure
461. West Nile virus Eco-epidemiology of disease
emergence in urban areas
- Develop a spatial model and risk maps based
on - demographic and environmental risk factors for
WNV and SLE in birds, mosquitoes and humans - reservoir capacity and differential effects of
WNV on various bird species - anthropogenic features of the urban environment
that support Culex mosquito production,
mosquito-bird transmission and virus
amplification. - Dynamics of viral transmission over space and
time using molecular evolutionary and
phylogeographic techniques
funded by NSF/NIH Ecology of Infectious Disease
Program
47Research Team
- Co-Investigators
- University of Illinois
- Uriel Kitron
- Marilyn Ruiz
- Tony Goldberg
- Jeff Brawn
- Scott Loss
- Michigan State University
- Edward Walker
- Gabe Hammer
- Collaborators
- Audubon Chicago Region
- Karen Glennemeier
- Judy Pollack
- Illinois Department of Public Health
- Constance Austin
- Linn Haramis
- Illinois State Water Survey
- Kenneth Kunkel
funded by NSF/NIH Ecology of Infectious Disease
Program
48Chicago
49(No Transcript)
50West Nile Virus in Illinois
- 2001 - 123 positive bird specimens, 0 human cases
- 2002 - 884 human cases, 66 deaths, more than any
other state that year
(U.S. - 4,156/284) - Over 680 cases occurred in Chicago and
surroundings - 2003 - 54 human cases, 1 death (U.S 9,862/264)
- 2004 - 60 human cases, 4 deaths (U.S.
2,539/100) - 2005 - 252 human cases, 12 deaths (U.S.
3000/119) - 2006 210 human cases, 9 deaths (U.S. 4180/149)
2002, 2005, 2006 hot and dry
2002
2003
512002
2005
2006
2004
2003
52Locations of human WNV cases in 2002 with land
cover
Human WNV case rate per 10,000 people
53Smoothed Map of Disease Cases summarized by
1196 1.8 km hexagons
Local Spatial Autocorrelation of Cases - LISA
statistic (Anselin)
Range 0-15 cases/cell
54WNV Human Cases with Housing Density
1
- Human cases tend to be outside of the more
densely populated urban core. - 3 areas with most cases (circled on map)
- in the south, near Oak Lawn
- 2) in north, around Skokie
- 3) southwest of Skokie
3
2
55Vegetation
PhysiographicRegion
56Dominant patterns in the Chicago urban landscape
- Each different colored area represents a place
with a common set of factors related to housing,
vegetation, socio-economics, and land use
Ruiz et al, Int'l J Health Geog 2005
57Urban Type 5, dominated by 40s, 50s, and 60s
housing. Mostly white, moderate vegetation and
moderate population density. 435 cases (64) were
in this group, 2.27 cases per 10,000 people
(RRgt3.5). (All other types lt0.65
cases per 10,000)
582005 Field Sites
59Site 3 Oak Lawn North
Green site Saint Casimirs Cemetery
Residential site
60Avian Host Community
- Bird Surveys
- Line transect bird surveys during May and June
- Bird Mist-netting
- 6-8 nets/morning from sunrise to noon during May
to October - Seropositivity of Captured Birds
- ELISA
- Virus Detection in Captured Birds - RT-PCR
61Overall Prevalence 19.9 (n 1062)
62Vector Community
- Adult Mosquito Trapping - MIR
- Light trap, gravid trap, aspirator
- Quantification of Mosquito Productivity
- Catch basins, containers
- Index of Culex Density
- Ovitraps
- Mosquito Bloodmeal Analysis
63(No Transcript)
64Ultimately, our goal is to be able to explain and
predict
2005 outbreak
Mosquito pool WNV test results
Human WNV cases, 10/3/2005 185/197 in greater
Chicago
65Weekly 2005 mosquito infection rate by watershed
and cases of human illness in Cook and DuPage
County, Illinois. Human illness cases are
preliminary data and should not be considered
authoritative.
66Weekly 2005 mosquito infection rate by watershed
and cases of human illness in Cook and DuPage
County, Illinois. Human illness cases are
preliminary data and should not be considered
authoritative.
67Important Processes Behind the Cluster Patterns
- Ecological
- Mosquito and bird habitat suitability
- Housing, landscape and catch basins
- Socioeconomic
- Lifestyle
- Access to healthcare, biased reporting
- Race, income
- Mosquito Abatement Districts
- Control methods
- Geographic location
68Pattern and Process
- For P. vivax in Icacos - tight clustering in
space and time suggests a common source and
direct contact between cases - the Icacos
outbreak - For P. malariae in Nariva-Mayaro - loose
clustering in space and time suggests several
independent epicenters - For P. falciparum, lack of association in
clustering in space with clustering in time,
suggests independent imported cases
69Some general Questions 1 Research
- Spatial determinants of disease transmission
- Spatial associations of risk factors with disease
and interaction with temporal processes - Origins of diseases and outbreaks
70Some general Questions 2 Surveillance/Control
- How do we most effectively plan and conduct
surveillance/control programs based on
disease/risk patterns - How do we evaluate control programs based on
changes in disease patterns - How do we integrate spatial epidemiology
research with surveillance/control programs?
71microscope. Levins, 1968
Upscale vs. Downscale
Spatial heterogeneity and processes that
operate on the micro- and meso- scale may not
be detected using high temporal but low spatial
resolution
- The detailed analysis
- of a model for purposes
- other than that which it
- was constructed may be
- as meaningless as
- studying a map under a
Spatial
Generality
Resolution
Model
Temporal
Spectral
Precision
Realism