A Curve-Fitting Approach for Generating Long-Term Projections of COVID-19 Mortality
When the COVID-19 pandemic started in early 2020, there was lack of understanding regarding its long-term impact. Available mathematical models were complex and typically provided short- and mid-term projections. The approach described generates long-term projections that are relatively easy to implement and can be enhanced to include other parameters such as vaccine impact or virus variants. The method could prove to be a valuable tool during a future pandemic.
Authors
- David Neasham (ORCID: https://orcid.org/0000-0002-0270-0372)
- Bijayini Behera
- George Kafatos (ORCID: https://orcid.org/0000-0001-7871-9216)
- Brian D. Bradbury
- George Seegan
- Neil Accortt
Institutions
- Amgen (United States) (US)
Publication Details
- Journal
- Disaster Medicine and Public Health Preparedness
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1017/dmp.2025.10188
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Amgen