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Updated: Dec 1, 2025

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
Published on: July 4, 2007
[Mathematical epidemiology and modeling of the Covid-19 pandemic: issues and diversity]
Ramsès Djidjou-Demasse1, Christian Selinger1, Mircea T Sofonea1
1Maladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle (Mivegec), université de Montpellier, CNRS, IRD, 39 Avenue Charles-Flahault, 34090 Montpellier, France.
Abstract:
During the COVID-19 pandemic, the field of mathematical epidemiology experienced an exceptional production and media coverage of its work. Even though data and knowledge on the emerging disease were patchy, a wide variety of models were developed and applied in unprecedented timeframes, with the aim of estimating the reproduction number, the starting date of the epidemic or the cumulative incidence, but also to explore different scenarios of non-pharmaceutical interventions. Their results have made a major contribution to epidemiological surveillance and informed public health policy decisions.
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