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1.
2021.
Preprint in English | Other preprints | ID: ppcovidwho-294246

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.

2.
Sci Rep ; 11(1): 18339, 2021 09 15.
Article in English | MEDLINE | ID: covidwho-1411815

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.


Subject(s)
COVID-19/epidemiology , SARS-CoV-2/isolation & purification , Waste Water/virology , Empirical Research , France/epidemiology , Humans , Models, Anatomic
3.
Ann Am Thorac Soc ; 17(11): 1358-1365, 2020 11.
Article in English | MEDLINE | ID: covidwho-908299

ABSTRACT

Coronavirus disease (COVID-19) is an illness caused by a novel coronavirus that has rapidly escalated into a global pandemic leading to an urgent medical effort to better characterize this disease biologically, clinically, and by imaging. In this review, we present the current approach to imaging of COVID-19 pneumonia. We focus on the appropriate use of thoracic imaging modalities to guide clinical management. We also describe radiologic findings that are considered typical, atypical, and generally not compatible with COVID-19. Furthermore, we review imaging examples of COVID-19 imaging mimics, such as organizing pneumonia, eosinophilic pneumonia, and other viral infections.


Subject(s)
Coronavirus Infections/diagnostic imaging , Diagnostic Imaging/methods , Pneumonia, Viral/diagnostic imaging , Betacoronavirus , COVID-19 , Diagnosis, Differential , Diagnostic Imaging/trends , Humans , Pandemics , Radiography, Thoracic , SARS-CoV-2 , Tomography, X-Ray Computed , Ultrasonography
4.
Ann Am Thorac Soc ; 2020 Oct 06.
Article in English | MEDLINE | ID: covidwho-835977

ABSTRACT

COVID-19 is an illness caused by a novel coronavirus that has rapidly escalated into a global pandemic leading to an urgent medical effort to better characterize this disease biologically, clinically and by imaging. In this review, we present the current approach to imaging of COVID-19 pneumonia. We focus on the appropriate utilization of thoracic imaging modalities to guide clinical management. We will also describe radiologic findings that are considered typical, atypical and generally not compatible with of COVID-19 infection. Further, we review imaging examples of COVID-19 imaging mimics, such as organizing pneumonia, eosinophilic pneumonia and other viral infections.

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