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PICTUREE: logistical support tool
Predicting Insect Contact and Transmission Using histoRical Entomological and Environmental data

Vector-borne diseases result from, for example, virus, parasite, bacterial, or rickettsial pathogens transmitted to humans from the bite of an infected mosquito, biting fly, sandfly, or tick arthropod vector. The US military repeatedly suffers mission degradation from vector-borne disease during contingency operations, with medically-related reductions in personnel ranging from 10-50% depending on the theater of operation and available countermeasures. The current global distribution of joint US military forces supports faster and larger deployments to numerous diverse environments that complicate exposure risks. The Deployed War-Fighter Protection research program continues to invest in tools and products that protect troops from nuisance and disease-vector arthropods and increase combat readiness. However, the US military does not have an unlimited budget nor the ability to provide all materials to all locations. A decision support tool is needed to optimize locale-specific provisioning, alignment, and timing of vaccine, prophylaxis/treatment, personal protection, vector control, and disease/vector surveillance resources based on estimated risk for transmission of vector-borne pathogens.

Here we are developing an innovative and unique system to close this capability gap, the PICTUREE (Predicting Insect Contact and Transmission Using histoRical Entomological and Environmental data) logistical support tool. Estimating current and future pathogen transmission risk will reduce waste of limited shelf-life products and increase logistical efficiency to hub and forward areas. Planners will use PICTUREE software to determine a Service Member's likely current and future risk based on geographic location, the season of deployment, and estimated time in the country. Furthermore, the software will allow commanders to monitor in-country conditions to decide when and which products to (re)order and, following redeployment, medical providers can evaluate likely past exposure to help with clinical diagnosis. 


PICTUREE Workflow. The four layers of information include user input, information database, and filtering and forecasting algorithms to generate a summary of risk output for the user based on geographic location, time of year, and mission duration.


Duration July 1, 2019 - July 31, 2022



Faculty and Scholar

Caterina Scoglio (Google Profile) (PI) K-State

Lee Cohnstaedt (co-PI), USDA

Seth Britch (co-PI), USDA

Ken Linthicum (co-PI), USDA

David Pecor (co-PI), Smithsonian Institution

Stephanie Cinkovich (co-PI), Army

PhD Students

Aram Vajdi

Md Mahbubul Huq Riad

Tanvir Ferdousi

Chunlin Yi 



1. Riad MH, Cohnstaedt LW, Scoglio CM. Risk Assessment of Dengue Transmission in Bangladesh Using a Spatiotemporal Network Model and Climate Data. The American Journal of Tropical Medicine and Hygiene. 2021 Jan 18:tpmd200444.





Supported by the US Department of Defense, Army. Any opinions, findings, and conclusions or recommendations expressed in this website are those of the author(s) and do not necessarily reflect the views of the DoD