Differential phase portraits in (I1, I3) projection of the dynamics of daily new cases for Ghana.

Observations (black lines) and model simulations (colored lines), are the same as the ones presented in <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0010735#pntd.0010735.g002" target="_blank">Fig 2D</a>.

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Bibliographic Details
Main Author:	Nathan Thenon (13813389) (author)
Other Authors:	Marisa Peyre (598951) (author), Mireille Huc (13813392) (author), Abdoulaye Touré (3904435) (author), François Roger (44772) (author), Sylvain Mangiarotti (13813395) (author)
Published:	2022
Subjects:	Biotechnology Cancer Science Policy Biological Sciences not elsewhere classified three different approaches shown different developments epidemiological observations reveals effectively largely underestimated bistability rarely observed epidemiological time series african countries considered xlink "> compared low level although div >< p health systems capacities lower total numbers total numbers health systems time evolution seventeen countries lower proportion dynamical systems third part short term second part quick increase progressive release omicron variant models obtained mobility indices mitigation strategies many contexts long term interpeople contact genuine effect first part elderly people effective role differential equations demographic effect country level control measures contact number clearly detected clear increase basic statistics analyses show
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Differential phase portraits in (<i>I</i><sub>1</sub>, <i>I</i><sub>3</sub>) projection of the dynamics of daily new cases for Ghana.

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