An Approach to, and Tool for, Predicting the Time Course of an Infectious Disease Outbreak as a Function of Behavioral Interventions
This interactive computer program aids epidemiologists, public health experts, and decision-makers in understanding and predicting infectious transmission. It is also valuable for generating rapid reports on infectious diseases and outbreak responses where time is a critical. Furthermore, it enhances collaboration between public health stakeholders and modeling professionals, aiming to optimize disease prevention and control strategies during outbreaks or epidemics.
Authors
- Amir Siraj (ORCID: https://orcid.org/0000-0002-9275-0380)
- Kiros Berhane (ORCID: https://orcid.org/0000-0003-2303-8493)
- Gerard van Breukelen (ORCID: https://orcid.org/0000-0003-0949-0272)
- Haftom Temesgen Abebe (ORCID: https://orcid.org/0000-0001-6769-210X)
- Dawd S. Siraj (ORCID: https://orcid.org/0000-0002-4433-9773)
Institutions
- University of Notre Dame (US)
- University of Wisconsin–Madison (US)
- Maastricht University (NL)
- Department of Health (TW)
- Mekelle University (ET)
- Columbia University (US)
Publication Details
- Journal
- Infection and Drug Resistance
- Published
- 2025-05-01
- DOI
- https://doi.org/10.2147/idr.s501934
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00