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 YOU!Jorge.E.Pinzon@nasa.gov

Sep 2011