Title: Mapping for Surveillance and Outbreak Investigation
1Mapping for Surveillance and Outbreak
Investigation
2Mapping for Surveillance and Outbreak
Investigation
- This issue of FOCUS was adapted from the
following online training on the NCCPHP Training
Web Site (http//nccphp.sph.unc.edu/training/) - Infectious disease surveillance and outbreak
investigation using GIS (2004) - Dionne Law, PhD, Spatial Epidemiology Research
Associate - Department of Epidemiology, University of North
Carolina at Chapel Hill
3Goals
- Describe ways maps can be used in field
epidemiology - Describe how geographic information systems (GIS)
can display and analyze spatial data - Provide examples of surveillance and outbreak
investigation activities that relied on GIS - Describe the use of global positioning systems
(GPS) to increase GIS capabilities
4Mapping for Surveillance and Outbreak
Investigation
- Maps are commonly used in epidemiology to present
complicated information succinctly and clearly - This issue discusses
- How maps can be used in field epidemiology
- Commonly used computer software programs that can
capture and analyze data and integrate them into
a spatial display
5Maps
- Earliest documented epidemiologic study relied on
mapping - Dr. John Snows investigation of cholera
outbreak, London, 1854 - Used maps and statistical data to trace source of
outbreak to public water pump on Broad StreetÂ
6Maps
- Most noted example of maps to convey complicated
statistical information comes from outside public
health (1) - 1869 map of French armys march to and retreat
from Moscow - Displays multivariate data (army size, direction,
geographic location, temperature, and time)
7Maps
- Line widths show size of French army on advance
to Moscow (tan) and retreat (black) - Chart below lines plots temperature
8Maps
- Map created during disease surveillance and
response activities around avian influenza, rural
Indonesia, 2005 (2) - Created using participatory mapping
- Shows the sequence of events during outbreak of
highly pathogenic H5N1 avian influenza in poultry
in a small villageÂ
9Maps
- Initially spread from House 1 to House 5 also in
second village (6) and broiler farm (top right)
Photo credit Dr Gavin Macgregor-Skinner/USAID
10Maps
- Subsequent investigation revealed that residents
of House 1 and households in second village
worked at broiler farm - Probably introduced H5N1 virus into communities
by carrying it home on shoes and clothing
11Geographic Information Systems
- Geographic information system (GIS) a computer
program designed to store, manipulate, analyze,
and display data in a geographic context - GIS capabilities are ideal for use in infectious
disease surveillance and control, outbreak
investigation and response
12Geographic Information Systems
- GIS can help
- Optimize data collection and management
- Strengthen data analysis
- Strengthen outbreak infrastructure and support
- Map epidemic dynamics in near real-time
- Quickly plan and target response
- Rapidly communicate information
- Monitor changes in disease over time
- Plan, monitor intervention/eradication programs
- Aid emergency preparedness
13GIS Example West Nile Virus
- GIS displays information in map layers
- Example West Nile virus
- Street network
- Buildings enclosures for sentinel species
(chicken coops, horse stalls), offices,
dwellings - Population at risk
- Maps of land cover, digital elevation,
precipitation, temperature, water features,
veterinarians/physicians
14GIS Example West Nile Virus
- After data is entered into GIS tool, you can
- Maintain surveillance of case-patient locations
and progression of disease for early outbreak
detection - Identify areas ideal for mosquito breeding and
apply preventive measures - Predict which populations are vulnerable to
infection based on proximity to breeding grounds - Simulate how an epidemic could evolve given
introduction of infected mosquitoes/birds at
various locations - Determine where to target interventions,
strengthen healthcare resources
15Surveillance and GIS Example Public Health
Mapping Programme
- Developed in 1993 by WHO and UNICEF to eradicate
Guinea worm disease - GIS used to
- Visualize disease foci
- Monitor newly infected or re-infected villages,
- Identify populations at risk
- Target cost-effective interventions
- Monitor eradication efforts
16Surveillance and GIS Example Public Health
Mapping Programme
- Technology developed to control one disease can
enhance control of others - Since Guinea worm project, GIS and mapping
expanded to meet data needs for - Onchocerciasis (river blindness)
- Blinding trachoma
- African trypanosomiasis (sleeping sickness)
- Lymphatic filariasis (elephantiasis)
- Poliomyelitis
- Malaria
17Surveillance and GIS Example HealthMapper
- Elimination of lymphatic filariasis possible
through - Mass drug administration to those at risk
- Promotion of intensive hygiene on affected body
parts - Populations at risk, size, location not
identified - HealthMapper enabled countries to estimate
prevalence of disease at district level, identify
precise areas to target for mass drug
administration - Also tool for standardizing surveillance,
monitoring indicators in different countries and
regions (3)
18Surveillance and GIS Example Roll Back Malaria
Partnership
- Global partnership to enable effective,
sustainable action against malaria - WHO strategy includes prompt treatment with
effective drugs, vector-control methods,
preventive treatment in pregnancy, emergency and
epidemic preparedness and response - Developed GIS to
- Strengthen surveillance at local level for early
detection, response to epidemics - Complement existing national/international health
monitoring systems - Integrate information on community interventions,
control interventions, private and public health
providers, partner intervention areas,
resources - Be accessible at different levels
19Surveillance and GIS Example US West Nile Virus
Surveillance
- CDC developed national surveillance plan for WNV
to monitor spread of infection, provide
national/regional information, identify regional
distribution and incidence of other arbovirus
diseases - GIS used to enhance federal surveillance system,
communicate results to the public
20Surveillance and GIS Example US West Nile Virus
Surveillance
- CDC, US Geological Survey mapped mosquito, wild
bird, horse, human populations - Tracked in sentinel species (chickens)
2007 U.S. Geologic Survey
21Surveillance and GIS Example US West Nile Virus
Surveillance
- Pennsylvania developed network to combat WNV
- Covers all 67 counties
- Includes trapping mosquitoes, collecting dead
birds, monitoring horses, people, chickens - WNV Tracking System spatially-driven
surveillance program for following, responding to
spread of WNV - Collects information on presence of virus,
identifies mosquito-breeding areas, helps target
control efforts - Alerts decision makers of new data via e-mail
- Generates, posts detailed maps on secure Web site
- Data for public release published on WNV
Surveillance Program Web site (www.westnile.state.
pa.us/)
22Outbreak Investigation and GIS
- GIS used to
- Strengthen data collection, management, and
analysis - Develop early warning systems
- Plan and monitor response programs
- Communicate large volumes of complex information
in simple, effective way to decision makers and
public
23Outbreak Investigation and GIS Example
Shigellosis
- Fort Bragg, North Carolina, 1997 (4)
- 59 cases of Shigella sonnei reported among
military health beneficiaries - Significant number of cases were children
- Preliminary investigation did not reveal
associations with daycare or common location - Outbreak persisted despite education about hand
washing and hygiene
24Outbreak Investigation and GIS Example
Shigellosis
- Imported addresses of all confirmed cases into
GIS and mapped onto Fort Bragg housing areas - Revealed cluster of infections on several streets
in one particular neighborhood
25Outbreak Investigation and GIS Example
Shigellosis
- Interviews with case families, neighbors revealed
presence of small communal wading pools in
several yards that were frequented by affected
children - Once pools were removed and home-based
information campaigns were initiated, spread of
illness was halted
26Outbreak Investigation and GIS Example STIs
- GIS also used to map sexually transmitted
infections - Used in Baltimore to map distribution of syphilis
before, during, after outbreak (5) - Data suggested that disease spread outward from 2
central cores of infection
27Outbreak Investigation and GIS Example STIs
- Used to map distribution of 4 sexually
transmitted infections (chlamydia, gonorrhea,
syphilis, and HIV infection) in Wake County, NC
(6) - Found clearly defined spatially heterogeneous
areas of infection for different diseasesÂ
28Global Positioning Systems
- Global positioning systems (GPS) add function to
GIS, increase capabilities - A critical tool for precise identification of
research subjects, locations, distances to
related geographic features - Allow users to locate positions on electronic map
using satellite technology
29Global Positioning Systems Example Atrazine
Exposure
- RTI International employed GPS-enabled handheld
technology in a National Cancer Institute study
to determine relationship between exposure to
atrazine and distance from fields where used (7) - Required field trips to verify locations of
households in study area near corn fields in
Illinois - Used HP iPAQ Pocket PC with GPS receiver and
ESRI's ArcPad software (GIS software for mapping
that allows capture, display, analysis of
geographic information on handheld devices)
30Global Positioning Systems Example Atrazine
Exposure
- Candidate household addresses geocoded to street
database, loaded onto ArcPad with aerial
photographs, street centerline database
- Staff used GPS, street names to find approximate
location of households - Modified original address-matched location (green
dots) to actual location (red dots) based on GPS
and rooftops on aerial map - If households not seen on map, GPS coordinate on
street captured
31Global Positioning Systems Example Atrazine
Exposure
- Measured household's distance from corn field
where atrazine used - Concentrations of atrazine in household, in
biological samples from occupants correlated with
distance from atrazine source - Using ArcPad/GPS instead of paper maps
- Allowed quick navigation from household to
household - Made repositioning of household locations more
accurate - Would have been almost impossible to do under
studys time constraints without this technology - Precisely measured household locations and
precise distances from households to corn fields
provided higher precision during data
analysis
32Global Positioning Systems
- Approach could be applied to infectious disease
surveillance and outbreak investigation and
response - To measure distance to exposure (e.g., water
source with cryptosporidium or farm with hoof and
mouth disease) - Outbreak investigation and response are
time-limited activities must be done quickly to
have greatest effect - GIS and GPS can greatly speed field work
33Summary
- Spread of disease especially infectious disease
is unavoidably spatial - Infection moves from individual to individual
following network of contacts within population
through local or global transmission - GIS capacity to capture geospatial information
ideally suited for infectious disease
surveillance and control highly relevant to meet
demands of outbreak investigation and response - Next issue will show how GIS used to conduct
rapid needs assessments
34Additional Resources for GIS Mapping
- World Health Organization Public Health Mapping
Programme - http//www.who.int/health_mapping/en/
- WHO HealthMapper
- http//www.who.int/health_mapping/tools/
healthmapper/en/index.html - Roll Back Malaria Partnership
- http//www.rbm.who.int/Â
35Further Readings
- Melnick, Alan L. Introduction to geographic
information systems in public health.
Gaithersburg, Md Aspen Publishers 2002. - Cromley, Ellen K. GIS and public health. New
York Guilford Press 2002. - Moore DA, Carpenter TE. Spatial Analytical
Methods and Geographic Information Systems Use
in Health Research and Epidemiology.
Epidemiologic Reviews. 199921(2)143-160.
36References
- Tufte ER, The Visual Display of Quantative
Information. 2nd ed. Cheshire, CT Graphics
Press, LLC 1983176. - Macgregor-Skinner G. Avian influenza H5N1
Getting our ducks in a row. Presentation at 5th
Annual One Medicine Symposium December 12-13,
2007 Durham, NC. - Brooker S, Beasley M, Ndinaromtan M, et al. Use
of remote sensing and a geographical information
system in a national helminth control programme
in Chad. Bulletin of the World Health
Organization. 200280783-789. - McKee KT, Shields TM, Jenkins PR, Zenilman JM,
Glass GE. Application of a geographic information
system to the tracking and control of an outbreak
of shigellosis. Clin Infect Dis. 200031728-733.
37References
- Gesink Law DC, Bernstein KT, Serre ML, et al.
Modeling a syphilis outbreak through space and
time using the Bayesian maximum entropy approach.
Ann Epidemiol. 200616797-804. - Law DCG, Serre ML, Christakos G, Leone PA, Miller
WC. Spatial analysis and mapping of sexually
transmitted diseases to optimise intervention and
prevention strategies. Sex Transm Infect.
200480294-299. - ArcPadMobile GIS software for field mapping
applications. ESRI Web site. http//www.esri.com/s
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spatial context. In Tilman D, Kareiva P, eds.
Spatial Ecology The Role of Space in Population
Dynamics and Interspecific Interactions.
Princeton, NJ Princeton University Press
1997111-136.