University of Pennsylvania Institute for Strategic Threat Analysis and Response (ISTAR). Climate. Information Networks. Geopolitics. Homeland defense. Infectious diseases. Geographic data. Remote sensors. Contents Foreword — Don de Savigny, Luc Loslier, and Jim Chauvin
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Institute for Strategic Threat Analysis and Response (ISTAR)
Climate and Satellite Indicators to Forecast Rift Valley Fever Epidemics in Kenya
Kenneth J. Linthicum, 1* Assaf Anyamba, 2* Compton J. Tucker, 2 Patrick W. Kelley, 1 Monica F. Myers, 2 Clarence J. Peters 3
The bestfit to the RVF outbreak data was achieved when equatorial Pacificand Indian Ocean SST and NDVI anomaly data were used together.
These data could have been used to successfully predict each ofthe three RVF outbreaks that occurred between 1982 and 1998 withoutpredicting any false RVF events for an overall prediction of riskof 100%.
Predictive models that use either SOI and Indian Oceanor NDVI and Indian Ocean anomaly data would have predicted allthree RVF events but falsely predicted either one or two diseaseevents, respectively.
The Sverdlovsk Anthrax Outbreak Fever Epidemics in Kenya
New initiatives Fever Epidemics in Kenya
Global and local syndromic surveillance—human and animal
Genomic characterization of species and strains of organisms
Global and local micro-organism surveillance
Massively networked information systems
Research/Education Agenda Fever Epidemics in Kenya
Dynamic Integration and Analysis of Data Sets
Political alignments—state and non-state
Network communication—artificial intelligence
Conflict—asymmetric, multi-agent game theory
graduate and professional students