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.

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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

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A Curve-Fitting Approach for Generating Long-Term Projections of COVID-19 Mortality

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A Curve-Fitting Approach for Generating Long-Term Projections of COVID-19 Mortality

David Neasham, Bijayini Behera, George Kafatos, Brian D. Bradbury, George Seegan, Neil Accortt
article en

Abstract

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.

Disaster Medicine and Public Health PreparednessVol. 19
Amgen (United States) (US)
Amgen
Openalex Percentile: Top 71%
COVID-19 epidemiological studies
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