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Coronavir.org

Site de veille et d'information sur le nouveau coronavirus SARS-COV-2 et la maladie associée COVID-19

Actualités et recherches en cours

We show that precise knowledge of epidemic transmission parameters is not required to build an informative model of the spread of disease. We propose a detailed model of the topology of the contact network under various control regimes and demonstrate that this is sufficient to capture the salient dynamical characteristics and to inform decisions. Our model of city-level transmission of an infectious agent (SEIR model) characterises spread via ...

This case series describes clinical characteristics, health services use, and outcomes of patients with confirmed coronavirus disease 2019 (COVID-19) cared for at 12 hospitals of a single health system in the New York City (NYC) area....

This study reports on the prevalence, intensity, and timing of an altered sense of smell or taste in patients with SARS-CoV-2 infections....

In response to the current urgent demand for N95 respirators by healthcare workers responding to the COVID-19 pandemic, with particular emphasis on needs within local medical systems, we initiated an N95 decontamination study using aerosolized hydrogen peroxide or aHP (7% H2O2 solution), via the Pathogo Curis(R) (Curis) decontamination system. The study has thus far included 10 cycles of respirator decontamination, with periodic qualitative and ...

We analyze an approach to managing the COVID-19 pandemic without shutting down the economy while staying within the capacity of the healthcare system. We base our analysis on a detailed heterogeneous epidemiological model, which takes into account different population groups and phases of the disease, including incubation, infection period, hospitalization, and treatment in the intensive care unit (ICU). We model the healthcare capacity as the ...

Extreme public health interventions play a critical role in mitigating the local and global prevalence and pandemic potential of COVID-19. Here, we use population size for pathogen transmission to measure the intensity of public health interventions, which is a key characteristic variable for nowcasting and forecasting of the epidemic. By formulating a hidden Markov dynamic system and using nonlinear filtering theory, we have developed a stocha...

Background: Little is known about how COVID-19 infection affects pregnant women, as well as about the possibility of vertical transmission or that of premature labor. Thus, this studys objective was to identify existing evidence to directive public policies. Method: Systematic literature review assessing papers published in the most comprehensive databases in the field of health. Results: 12 papers were eligible. A total of 119 pregnant women ag...

We analyze an approach to managing the COVID-19 pandemic without shutting down the economy while staying within the capacity of the healthcare system. We base our analysis on a detailed heterogeneous epidemiological model, which takes into account different population groups and phases of the disease, including incubation, infection period, hospitalization, and treatment in the intensive care unit (ICU). We model the healthcare capacity as the ...

Optimal control problems reflecting the finding of effective quarantine strategies are considered for two control SEIR~type models describing the spread of the COVID-19 virus in the human population. The properties of the corresponding optimal controls are established analytically by applying the Pontryagin maximum principle. The optimal solutions are obtained numerically using BOCOP 2.0.5 software. The behavior of the appropriate optimal solut...

The lead-lag relationship plays a vital role in financial markets. It is the phenomenon where a certain price-series lags behind and partially replicates the movement of leading time-series. The present research proposes a new technique which helps better identify the lead-lag relationship empirically. Apart from better identifying the lead-lag path, the technique also gives a measure for adjudging closeness between financial time-series. Also,...

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