Plateaus, rebounds and the effects of individual behaviours in epidemics
Abstract Plateaus and rebounds of various epidemiological indicators are widely reported in Covid-19 pandemics studies but have not been explained so far. Here, we address this problem and explain the appearance of these patterns. We start with an empirical study of an original dataset obtained from...
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2021
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oai:doaj.org-article:4af36fe2f82947d6ac4062f23076ac632021-12-02T17:24:12ZPlateaus, rebounds and the effects of individual behaviours in epidemics10.1038/s41598-021-97077-x2045-2322https://doaj.org/article/4af36fe2f82947d6ac4062f23076ac632021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97077-xhttps://doaj.org/toc/2045-2322Abstract Plateaus and rebounds of various epidemiological indicators are widely reported in Covid-19 pandemics studies but have not been explained so far. Here, we address this problem and explain the appearance of these patterns. We start with an empirical study of an original dataset obtained from highly precise measurements of SARS-CoV-2 concentration in wastewater over nine months in several treatment plants around the Thau lagoon in France. Among various features, we observe that the concentration displays plateaus at different dates in various locations but at the same level. In order to understand these facts, we introduce a new mathematical model that takes into account the heterogeneity and the natural variability of individual behaviours. Our model shows that the distribution of risky behaviours appears as the key ingredient for understanding the observed temporal patterns of epidemics.Henri BerestyckiBenoît DesjardinsBruno HeintzJean-Marc OuryNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021) |
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Medicine R Science Q Henri Berestycki Benoît Desjardins Bruno Heintz Jean-Marc Oury Plateaus, rebounds and the effects of individual behaviours in epidemics |
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Abstract Plateaus and rebounds of various epidemiological indicators are widely reported in Covid-19 pandemics studies but have not been explained so far. Here, we address this problem and explain the appearance of these patterns. We start with an empirical study of an original dataset obtained from highly precise measurements of SARS-CoV-2 concentration in wastewater over nine months in several treatment plants around the Thau lagoon in France. Among various features, we observe that the concentration displays plateaus at different dates in various locations but at the same level. In order to understand these facts, we introduce a new mathematical model that takes into account the heterogeneity and the natural variability of individual behaviours. Our model shows that the distribution of risky behaviours appears as the key ingredient for understanding the observed temporal patterns of epidemics. |
format |
article |
author |
Henri Berestycki Benoît Desjardins Bruno Heintz Jean-Marc Oury |
author_facet |
Henri Berestycki Benoît Desjardins Bruno Heintz Jean-Marc Oury |
author_sort |
Henri Berestycki |
title |
Plateaus, rebounds and the effects of individual behaviours in epidemics |
title_short |
Plateaus, rebounds and the effects of individual behaviours in epidemics |
title_full |
Plateaus, rebounds and the effects of individual behaviours in epidemics |
title_fullStr |
Plateaus, rebounds and the effects of individual behaviours in epidemics |
title_full_unstemmed |
Plateaus, rebounds and the effects of individual behaviours in epidemics |
title_sort |
plateaus, rebounds and the effects of individual behaviours in epidemics |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/4af36fe2f82947d6ac4062f23076ac63 |
work_keys_str_mv |
AT henriberestycki plateausreboundsandtheeffectsofindividualbehavioursinepidemics AT benoitdesjardins plateausreboundsandtheeffectsofindividualbehavioursinepidemics AT brunoheintz plateausreboundsandtheeffectsofindividualbehavioursinepidemics AT jeanmarcoury plateausreboundsandtheeffectsofindividualbehavioursinepidemics |
_version_ |
1718380907559124992 |