epiflows
epiflows estimates the risk of infectious disease spread via international travel by calculating expected introductions of symptomatic and asymptomatic infections to new locations.
Key Features:
- Risk Estimation: Calculates the expected number of symptomatic and asymptomatic infections introduced into new locations.
- Data Integration: Integrates cumulative case reports, population movement patterns, length of stay, and distributions of incubation and infectious periods.
- Statistical Analysis: Produces estimates with average values and confidence intervals.
- Geocoding and Visualization: Performs geocoding of locations and visualization of epidemiological risk outputs.
Scientific Applications:
- Travel-related risk assessment: Rapid assessment of potential hotspots and importation risk for travel-mediated disease spread.
- Yellow fever risk evaluation (Southeast Brazil, Dec 2016–May 2017): Applied to evaluate the risk of yellow fever transmission from Southeast Brazil between December 2016 and May 2017.
Methodology:
Integrates cumulative case reports, population movement patterns, length of stay, and incubation/infectious period distributions to model travel-mediated transmission and compute expected introductions with averages and confidence intervals; includes geocoding and visualization of results.
Topics
Details
- License:
- MIT
- Programming Languages:
- R
- Added:
- 11/14/2019
- Last Updated:
- 12/25/2020
Operations
Publications
Moraga P, Dorigatti I, Kamvar ZN, Piatkowski P, Toikkanen SE, Nagraj V, Donnelly CA, Jombart T. epiflows: an R package for risk assessment of travel-related spread of disease. F1000Research. 2019;7:1374. doi:10.12688/f1000research.16032.3. PMID:31543947. PMCID:PMC6738191.