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A NASA GeoSpatial Portal to Support Global Emerging Infections Surveillance Division
Jorge E. Pinzon, SSAI at NASA/GSFC
Advances in Geospatial Technologies for HealthSeptember 2011
Santa Fe
ContributorsRemote Sensing Data•Jorge Pinzon, Assaf Anyamba & Compton J. Tucker: NASA/Goddard Space Flight Center, Biospheric Sciences Branch, Code 614.4, GIMMS Group, Greenbelt, Maryland.
Field Surveillance & Data Support•Todd Myers, Allen L Richards: Rickettsial Diseases Department, Naval Medical Research Center, Silver Spring MD•Kenneth J. Linthicum & Seth Britch: Center for Medical, Agricultural & Veterinary Entomology, Agricultural Research Service, United States Department of Agriculture, Gainesville, Florida.•Emad Mohareb, Naval Medical Research Unit 3 (NAMRU-3), Cairo, Egypt
Armed Forces Health Surveillance Center•Kevin Russell, Clair Witt: Div GEIS Operations, Silver Spring, MD
Sep 2011
AFHSC Global NetworkDOD’s Unique Assets
Overseas Presence with OCONUS Labs
Peru
Kenya
Egypt
Thailand
Indonesia
Navy HubAir Force Hub
WRAIR, NMRC
Germany Korea
Sep 2011
Spatio‐temporal modeling: framework predictionEnsuring expandability and data continuity
Decreasing uncertainty
NDVI based Risk Map, 1o pixel vulnerability map
High Risk (quantiles 6-7): Accumulated evidence Risk Refine Refine Refine Assessment of outbreak
8 months 4 3 2 1 0
Climate:ENSO-NAO
IDENTIFYINGMonthly/frequencyPatterns of optimal conditions
time
Prediction Timeline
Cla
ssifi
catio
n O
utbr
eak
Bas
e M
ap
NDVI 1o NDVI 1o NDVI 1o NDVI 1o NDVI 8km NDVI8km NDVI1km NDVI1km
Symbols:↓ time to outbreak, ↓uncertainty,↑Prediction& accuracy
SRTMTRMM
AVHRRLANDSAT
MODIS Outbreak Evaluation
Vector/Animal Surveillance
data continuity -supporttools for decision making
Sep 2011
Model Inputs ‐ Data Continuity
Inputs
Global Climate indicatorsEl Niño-Southern Oscillation (ENSO)
Disease, Vector & Animal Data
Imagery time seriesPrecipitation (PPTN)Normalized Difference Vegetation Index (NDVI)NDVI / Temperature
Sea Surface Temperature (SST)Outgoing Longwave Radiation (OLR)From NOAA(monthly update)
Latitude&Longitude&Date
TRMM - monthly updateAVHRR - biweekly or as
neededMODIS - monthly
Operatingintermediate
data
N/A
MeteoSat
SPOTMODIS
Extendedlong-term
monitoring
GPM / Jul 2013
NPP-VIIRSJun 2011
Current Sensor/Data
Sep 2011
RVF Monitoring
Am. J. Trop. Med. Hyg., 83(Suppl 2), 2010, pp. 43–51
Sep 2011
Challenge
Factors Impacting Challenge
– Accurate and timely interpretation of spatial information: Eco‐climatic indicators rely on reported human/animal cases
– Non‐static nature of environmental habitats and eco‐climate conditions over time: not enough is known quantitatively about the necessary biotic conditions for the maintenance of pathogen cycles in nature
– Suitable communications system for data sharing dialog between group members
– Assessment of final reports for meaningful contribution to public health decisions
Dissemination of remote sensing reports, advisories and alerts of emerging disease outbreaks
ObjectiveProvide a versatile platform responsive to the multidisciplinary nature of predictive surveillance
Spatio-temporal modeling and communication
Provide relevant, timely, actionable, and comprehensive health surveillance information
Sep 2011
-Geolocation-Calibration-Cloud/Shadow Screening-Atmospheric Correction
Gridding
Land products
Gridding
Land products
AVHRR1981 - present
-Geolocation-Calibration-Cloud/Shadow Screening-Atmospheric Correction
AVHRR productsMODIS products
NASA/GIMMS Production System
List of potential products:Surface Reflectance, VI, Normalized Anomalies,Spatial&Temporal Rankingof Risk
Web-based Integration:Daily, multi-day, monthlyAnalysis and disseminationBenchmark measuresTransfer technology
MODIS2001 - present
Other Risk Indicators
-Animal surveillance-Vector habitats-Human cases
ENSO + DEM + LandCover Precipitation:TRMM
Work Based on NASA ZVHF modules
Sep 2011
RVFcurrent risk map
RVFPrevious Reports
Responding to the multidisciplinary nature of predictive surveillance
Sep 2011
Links to other AFHSC‐GEIS PS components
and
sites with useful RS capabilities
Responding to the multidisciplinary nature of predictive surveillance
Sep 2011
Responding to expansion of AFHSC‐GEIS predictive surveillance program
(Ebola)
Search
Environment
Embedded in Google maps
Other Diseases
Sep 2011
Search
Environment
Embedded in Google maps
Other Diseases
Reports
Responding to the expansion of AFHSC‐GEIS predictive surveillance program
(CCHF)
Sep 2011
· Temporal/spatial predictive capabilities for monitoring trends in the disease epidemiology/epizootology in a region of interest
· High resolution risk maps for zoonotic surveillance and scientific analysis
Earth ObservationsSRTM
TRMM
AVHRR
LANDSAT
MODIS
In situ measurements: vector/animal surveillance &comprehensive list of human cases
DATA
ESD &Models
NASA/GSFC vector-borneeco-climatic modeling
Decision Support Tools PREDICTIONS/FORECASTSOBSERVATIONS
Value & Benefits∙Monitoring capabilities for global surveillance and response networking· Enable timely collections of routine surveillance data∙ Enable timely & improved control and prevention efforts∙ Better understanding of climate/disease linkage
INTEGRATEDSYSTEM
SOLUTION
Generalizing
· Unique eco-climatic factors or human activities links to increased disease exposure
· Climatic and environmental characterization of risk
Higher than average
Readiness Early detection Rapid Response
Integrating prediction from data sharing dialog
CCHF Risk
New Report
Sep 2011
• Implement PS Web Map Service (WMS)– NASA PS Web Map Service implementation strives to open up the RS collection to users who wish to
access its contents via machine‐to‐machine interaction. WMS gives users the ability to access maps from any implementing service using a standardized programming interface.
– We hope that you will provide us with any feedback regarding the RS collection as well as this WMS implementation.
– The WMS implementation should understand both versions 1.1.1 and 1.3.0. – For more information about Web Mapping Services in general, please see the following links:
• Web Map Service (Wikipedia): http://en.wikipedia.org/wiki/Web_Map_Service• OpenGIS Web Map Service Implementation Specifications:
http://www.opengeospatial.org/standards/wms
• Download options: png and Google Earth
Future activities to enhance disease predictive surveillance collaborations
Sep 2011
Download option: Google Earth
Integrating with Google Earth Gallery
Sep 2011
About NASA Predictive Surveillance Web RS component
SponsorshipThe PS web project sponsored by NASA and AFHSC‐GEIS.
Credits and acknowledgmentsSpecial thanks and acknowledgments go to Clara Witt, Claudia Castaneda,Assaf Anyamba, Ken Linthicum, Emad Mohareb and John Haynes forgenerously sharing their time, expertise, imagery, and data
THANK [email protected]
Sep 2011