The French domestic "sanitary pass" did not solve Covid-19 vaccination inequities in France

Mapping Intimacies ◽

10.1101/2022.01.03.22268676 ◽

2022 ◽

Author(s):

Florence Débarre ◽

Emmanuel Lecoeur ◽

Lucie Guimier ◽

Marie Jauffret-Roustide ◽

Anne-Sophie Jannot

Keyword(s):

Data Gathering ◽

Data Driven ◽

Geographic Factors ◽

Vaccination Rates ◽

Before And After ◽

Data Driven Approach ◽

Deprived Areas

The French sanitary pass led to an increase in vaccination rates in France, but local heterogeneities in vaccination rates remain. To identify potential determinants of these heterogeneities and how the French sanitary pass influenced them, we used a data-driven approach on exhaustive nationwide data, gathering 181 socio-economic and geographic factors. Our analysis reveals that, both before and after the introduction of the French sanitary pass, factors with the largest impact are related to poverty, with the most deprived areas having greater than 10 times the odds of being among the districts with lower vaccination rates.

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Data-Driven Object Pose Estimation in a Practical Bin-Picking Application

Sensors ◽

10.3390/s21186093 ◽

2021 ◽

Vol 21 (18) ◽

pp. 6093

Author(s):

Viktor Kozák ◽

Roman Sushkov ◽

Miroslav Kulich ◽

Libor Přeučil

Keyword(s):

Pose Estimation ◽

Data Gathering ◽

Data Driven ◽

Fixed Position ◽

Automatic Data ◽

Direct Light ◽

Data Driven Approach ◽

Bin Picking ◽

Object Pose Estimation ◽

Metallic Parts

This paper addresses the problem of pose estimation from 2D images for textureless industrial metallic parts for a semistructured bin-picking task. The appearance of metallic reflective parts is highly dependent on the camera viewing direction, as well as the distribution of light on the object, making conventional vision-based methods unsuitable for the task. We propose a solution using direct light at a fixed position to the camera, mounted directly on the robot’s gripper, that allows us to take advantage of the reflective properties of the manipulated object. We propose a data-driven approach based on convolutional neural networks (CNN), without the need for a hard-coded geometry of the manipulated object. The solution was modified for an industrial application and extensively tested in a real factory. Our solution uses a cheap 2D camera and allows for a semi-automatic data-gathering process on-site.

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Restructuring ENT out-patient services during the coronavirus disease 2019 pandemic – an iterative approach

The Journal of Laryngology & Otology ◽

10.1017/s0022215120001450 ◽

2020 ◽

Vol 134 (8) ◽

pp. 670-679 ◽

Cited By ~ 1

Author(s):

M Halliwell-Ewen ◽

B Atkin ◽

C T Huins ◽

C L Dalton

Keyword(s):

National Health Service ◽

Data Gathering ◽

Significant Rise ◽

Data Driven ◽

Iterative Approach ◽

End Points ◽

Patient Capacity ◽

Data Driven Approach ◽

Patient Work ◽

Procedure Duration

AbstractBackgroundCoronavirus disease 2019 has demanded enormous adjustments to National Health Service provisions. Non-urgent out-patient work was initially postponed or performed virtually, but is now being re-established. In ENT surgery, aerosol-generating procedures pose a particular challenge in out-patient settings.ObjectiveA rapid restructuring of ENT out-patient services is required, to safely accommodate aerosol-generating procedures and increase in-person attendances, whilst coronavirus disease 2019 persists.MethodsData were collected prospectively over four consecutive cycles. Two surveys were conducted. Results were analysed and disseminated, with recommendations for service restructuring implemented at cycle end-points.ResultsOut-patient activity increased four-fold, associated with a significant rise in aerosol-generating procedures during the study period. Mean aerosol-generating procedure duration dropped weekly, implying a learning curve. Service restructuring occurred at cycle end-points.ConclusionIterative data gathering, results analysis and outcome dissemination enabled a swift, data-driven approach to the restructuring of ENT out-patient services. Patient and staff safety was ensured, whilst out-patient capacity was optimised.

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