RADmosquito
A Risk Advisory Dashboard for Aedes Mosquito-borne Disease Response
Motivation
Existing Predictive Models
MIDAS and DiSARM models predict mosquito populations and infection risk
Existing models are ineffective for governmental and civilian use
Need
A user-friendly way to predict disease transmission risk that enables cost-effective resource allocation
and targeted response plans
Design criteria:
Target Users
Integrating Data to Create a Predictive Model
Geography and Climate Data
Aedes habitat and population
Social media and Search trends
Incidence: Current and History
Travel Connections
Advisory
Risk Map
Prediction Map and Recommendation System
Interactive website with a publically-accessible main interface
Log-in option for government agencies
Project Validation and Scaling
Develop and train model on national and international datasets
Test platform in Southern California
Add more value to implementation in the US through collaboration with educators
Expand model to Central and South America and Africa
RADmosquito
Team: Adam White, Jacob Feldgoise,
Lauren Watkins, Emma Zorensky
Appendix
“Surveillance Systems to Facilitate Malaria Elimination,” Global Health Group UCSF, 2014
Civilian Actions
LOW:
MEDIUM:
HIGH and ACTIVE:
Governmental Actions
LOW:
MEDIUM: Contact local government agencies to
HIGH:
ACTIVE:
Risk Levels | Definition | Policy Level Recommendations | Public Outreach Recommendations |
Active | Model score of ≥75 with active reported cases of Aeden-borne disease | Declaration of active transmission site; Area wide treatment with insecticide; consider truck or aerial spraying; | Increase public communication using major media channels/SMS alerts, travel advisories |
High | Model score of less > 75 with few reported cases Aeden-borne disease | Implement targeted control strategies, outdoor residual spraying | |
Medium | Model score of 25-75 with 0 reported cases Aeden-borne disease | Survey and map mosquito presence and type, use of larvicides, insecticide resistance testing | Encourage removal of larval habitats and breeding sites, community cleanup campaigns |
Low | Model output score of < 25 and 0 reported cases of 0 active reported cases Aeden-borne disease | Plan surveys, public education, and vector management strategies for peak mosquito seasons. | Encourage personal protection measures, reduction or elimination breeding sites, removal and disposal of any water holding containers |
Next steps: CDC Science Ambassador Workshop for Educators
RADmosquito: Mapping Risk and Taking Action in Your Community
2016