Mapping for Surveillance and Outbreak Investigation.
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Transcript of Mapping for Surveillance and Outbreak Investigation.
Mapping 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 AssociateDepartment of Epidemiology, University of North Carolina at Chapel Hill
Goals 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
Mapping 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
Maps Earliest documented
epidemiologic study relied on mapping
Dr. John Snow’s investigation of cholera outbreak, London, 1854
Used maps and statistical data to trace source of outbreak to public water pump on Broad Street
Maps
Most noted example of maps to convey complicated statistical information comes from outside public health (1) 1869 map of French army’s march to
and retreat from Moscow Displays multivariate data (army size,
direction, geographic location, temperature, and time)
Maps Line widths show size of French army on
advance to Moscow (tan) and retreat (black) Chart below lines plots temperature
Maps
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 village
Maps 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
Maps 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
Geographic 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
Geographic 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
GIS Example: West Nile Virus
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
GIS displays information in map “layers”
GIS 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
Surveillance 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
Surveillance 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
Surveillance 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)
Surveillance 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
Surveillance 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
Surveillance 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
Surveillance 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/)
Outbreak 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
Outbreak 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
Outbreak 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
Outbreak 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
Outbreak 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
Outbreak 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 diseases
Global 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
Global 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)
Global 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
Global 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
study’s time constraints without this technology Precisely measured household locations and precise
distances from households to corn fields provided higher precision during data analysis
Global 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
Summary 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
Additional Resources for GIS Mapping World Health Organization Public Health
Mapping Programmehttp://www.who.int/health_mapping/en/
WHO HealthMapper
http://www.who.int/health_mapping/tools/ healthmapper/en/index.html
Roll Back Malaria Partnershiphttp://www.rbm.who.int/
Further 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. 1999;21(2):143-160.
References1. Tufte ER, The Visual Display of Quantative Information.
2nd ed. Cheshire, CT: Graphics Press, LLC; 1983:176.2. 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.
3. 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. 2002;80:783-789.
4. 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. 2000;31:728-733.
References4. 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. 2006;16:797-804.
5. 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. 2004;80:294-299.
6. ArcPad—Mobile GIS software for field mapping applications. ESRI Web site. http://www.esri.com/software/arcgis/arcpad/. Accessed April 23, 2008.
7. Holmes EE. Basic epidemiological concepts in a 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; 1997:111-136.