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2. Monitoring monocyte HLA-DR expression and CD4 + T lymphocyte count in dexamethasone-treated severe COVID-19 patients

Author

Monneret, Guillaume, Voirin, Nicolas, Richard, Jean-Christophe, Cour, Martin, Rimmelé, Thomas, Garnier, Lorna, Yonis, Hodane, Coudereau, Remy, Gossez, Morgane, Malcus, Christophe, Wallet, Florent, Delignette, Marie-Charlotte, Dailler, Frederic, Buisson, Marielle, Argaud, Laurent, Lukaszewicz, Anne-Claire, and Venet, Fabienne

Published
2024
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10. Estimating Potential Infection Transmission Routes in Hospital Wards Using Wearable Proximity Sensors

Author

Vanhems, Philippe, Barrat, Alain, Cattuto, Ciro, Pinton, Jean-François, Khanafer, Nagham, Régis, Corinne, Kim, Byeul-a, Comte, Brigitte, and Voirin, Nicolas

Subjects
Quantitative Biology - Quantitative Methods, Physics - Physics and Society
Abstract

Contacts between patients, patients and health care workers (HCWs) and among HCWs represent one of the important routes of transmission of hospital-acquired infections (HAI). A detailed description and quantification of contacts in hospitals provides key information for HAIs epidemiology and for the design and validation of control measures. We used wearable sensors to detect close-range interactions ("contacts") between individuals in the geriatric unit of a university hospital. Contact events were measured with a spatial resolution of about 1.5 meters and a temporal resolution of 20 seconds. The study included 46 HCWs and 29 patients and lasted for 4 days and 4 nights. 14037 contacts were recorded. The number and duration of contacts varied between mornings, afternoons and nights, and contact matrices describing the mixing patterns between HCW and patients were built for each time period. Contact patterns were qualitatively similar from one day to the next. 38% of the contacts occurred between pairs of HCWs and 6 HCWs accounted for 42% of all the contacts including at least one patient, suggesting a population of individuals who could potentially act as super-spreaders. Wearable sensors represent a novel tool for the measurement of contact patterns in hospitals. The collected data provides information on important aspects that impact the spreading patterns of infectious diseases, such as the strong heterogeneity of contact numbers and durations across individuals, the variability in the number of contacts during a day, and the fraction of repeated contacts across days. This variability is associated with a marked statistical stability of contact and mixing patterns across days. Our results highlight the need for such measurement efforts in order to correctly inform mathematical models of HAIs and use them to inform the design and evaluation of prevention strategies.

Published
2013
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11. Simulation of an SEIR infectious disease model on the dynamic contact network of conference attendees

Author

Stehlé, Juliette, Voirin, Nicolas, Barrat, Alain, Cattuto, Ciro, Colizza, Vittoria, Isella, Lorenzo, Régis, Corinne, Pinton, Jean-François, Khanafer, Nagham, Broeck, Wouter Van den, and Vanhems, Philippe

Subjects
Quantitative Biology - Quantitative Methods, Physics - Physics and Society
Abstract

The spread of infectious diseases crucially depends on the pattern of contacts among individuals. Knowledge of these patterns is thus essential to inform models and computational efforts. Few empirical studies are however available that provide estimates of the number and duration of contacts among social groups. Moreover, their space and time resolution are limited, so that data is not explicit at the person-to-person level, and the dynamical aspect of the contacts is disregarded. Here, we want to assess the role of data-driven dynamic contact patterns among individuals, and in particular of their temporal aspects, in shaping the spread of a simulated epidemic in the population. We consider high resolution data of face-to-face interactions between the attendees of a conference, obtained from the deployment of an infrastructure based on Radio Frequency Identification (RFID) devices that assess mutual face-to-face proximity. The spread of epidemics along these interactions is simulated through an SEIR model, using both the dynamical network of contacts defined by the collected data, and two aggregated versions of such network, in order to assess the role of the data temporal aspects. We show that, on the timescales considered, an aggregated network taking into account the daily duration of contacts is a good approximation to the full resolution network, whereas a homogeneous representation which retains only the topology of the contact network fails in reproducing the size of the epidemic. These results have important implications in understanding the level of detail needed to correctly inform computational models for the study and management of real epidemics.

Published
2011
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15. Epidemiological impact of Neisseria gonorrhoeaeand Chlamydia trachomatisscreening in men having sex with men: a modelling study

Author

Flaig, Julien, Hocqueloux, Laurent, Palich, Romain, Cuzin, Lise, Robineau, Olivier, Pugliese, Pascal, Delpierre, Cyrille, Voirin, Nicolas, and Cotte, Laurent

Abstract

ObjectivesThe impact of the systematic screening of Neisseria gonorrhoeae(NG) and Chlamydia trachomatis(CT) in men having sex with men (MSM) on these pathogens’ epidemiology remains unclear. We conducted a modelling study to analyse this impact in French MSM.MethodsWe modelled NG and CT transmission using a site-specific deterministic compartmental model. We calibrated NG and CT prevalence at baseline using results from MSM enrolled in the Dat’AIDS cohort. The baseline scenario was based on 1 million MSM, 40 000 of whom were tested every 90 days and 960 000 every 200 days. Incidence rate ratios (IRRs) at steady state were simulated for NG, CT, NG and/or CT infections, for different combinations of tested sites, testing frequency and numbers of frequently tested patients.ResultsThe observed prevalence rate was 11.0%, 10.5% and 19.1% for NG, CT and NG and/or CT infections. The baseline incidence rate was estimated at 138.2 per year per 100 individuals (/100PY), 86.8/100PY and 225.0/100PY for NG, CT and NG and/or CT infections. Systematically testing anal, pharyngeal and urethral sites at the same time reduced incidence by 14%, 23% and 18% (IRR: 0.86, 0.77 and 0.82) for NG, CT and NG and/or CT infections. Reducing the screening interval to 60 days in frequently tested patients reduced incidence by 20%, 29% and 24% (IRR: 0.80, 0.71 and 0.76) for NG, CT and NG and/or CT infections. Increasing the number of frequently tested patients to 200 000 reduced incidence by 29%, 40% and 33% (IRR: 0.71, 0.60 and 0.67) for NG, CT and NG and/or CT infections. No realistic scenario could decrease pathogens’ incidence by more than 50%.ConclusionsTo curb the epidemic of NG and CT in MSM, it would not only be necessary to drastically increase screening, but also to add other combined interventions.

Published
2024
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16. Can we consider immediate complications after thyroidectomy as a quality metric of operation?

Author

Arnalsteen, Laurent, Caizzo, Robert, Carnaille, Bruno, Dezfoulian, Guelareh, Eberle, Carole, El Khatib, Ziad, Fernandez, Emmanuel, Lamblin, Antoine, Pattou, François, Six, Marie-France, Bourdy, Stéphanie, Bouveret, Laetitia, Colin, Cyrille, Duclos, Antoine, Guibert, Benoît, Le Pogam, Marie-Annick, Lifante, Jean-Christophe, Peix, Jean-Louis, Singier, Gaétan, Soardo, Pietro, Touzet, Sandrine, Voirin, Nicolas, Auquier, Pascal, Henry, Jean-François, Morando, Claire, Sebag, Frédéric, Van Slycke, Sam, Akrout, Inès, Benmiloud, Fares, Chigot, Jean-Paul, Colombet, Isabelle, Godiris-Petit, Gaëlle, Leyre, Pierre, Ménégaux, Fabrice, Noullet, Séverine, Royer, Benoît, Tresallet, Christophe, Desurmont, Thibault, Dominguez, Claudia, Kraimps, Jean-Louis, Odasso, Chiara, Rouleau, Laetitia, Chapuis, Yves-Louis, Durieux, Pierre, Lepape, Alain, Triponez, Frédéric, and Payet, Cécile

Published
2017
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22. Additional file 1 of Effectiveness of seasonal malaria chemoprevention in three regions of Togo: a population-based longitudinal study from 2013 to 2020

Author

Bakai, Tchaa A., Thomas, Anne, Iwaz, Jean, Atcha-Oubou, Tinah, Tchadjobo, Tchassama, Khanafer, Nagham, Rabilloud, Muriel, and Voirin, Nicolas

Abstract

Additional file 1: Figure S1. Heterogeneity of yearly and cycle seasonal malaria chemoprevention effects in the districts of Togo from 2016 to 2020. Deviation of each district from the average is represented for yearly and cycle effects. Districts below line 0 (Blitta, Oti, Sotouboua, Tchamba, and Tchaoudjo) showed better effectiveness of seasonal malaria chemoprevention than the average and districts above line 0 (Binah, Cinkasse, Dankpen, Kozah and Kpendjal) showed lower effectiveness.

Published
2023
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31. Can we consider immediate complications after thyroidectomy as a quality metric of operation?

Author

Lifante, Jean-Christophe, Payet, Cécile, Ménégaux, Fabrice, Sebag, Frédéric, Kraimps, Jean-Louis, Peix, Jean-Louis, Pattou, François, Colin, Cyrille, Duclos, Antoine, Arnalsteen, Laurent, Caizzo, Robert, Carnaille, Bruno, Dezfoulian, Guelareh, Eberle, Carole, El Khatib, Ziad, Fernandez, Emmanuel, Lamblin, Antoine, Pattou, François, Six, Marie-France, Bourdy, Stéphanie, Bouveret, Laetitia, Colin, Cyrille, Duclos, Antoine, Guibert, Benoît, Le Pogam, Marie-Annick, Lifante, Jean-Christophe, Peix, Jean-Louis, Singier, Gaétan, Soardo, Pietro, Touzet, Sandrine, Voirin, Nicolas, Auquier, Pascal, Henry, Jean-François, Morando, Claire, Sebag, Frédéric, Van Slycke, Sam, Akrout, Inès, Benmiloud, Fares, Chigot, Jean-Paul, Colombet, Isabelle, Godiris-Petit, Gaëlle, Leyre, Pierre, Ménégaux, Fabrice, Noullet, Séverine, Royer, Benoît, Tresallet, Christophe, Desurmont, Thibault, Dominguez, Claudia, Kraimps, Jean-Louis, Odasso, Chiara, Rouleau, Laetitia, Chapuis, Yves-Louis, Durieux, Pierre, Lepape, Alain, and Triponez, Frédéric

Published
2017
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36. Estimating Attributable Mortality Due to Nosocomial Infections Acquired in Intensive Care Units

Author

Januel, Jean‐Marie, Harbarth, Stephan, Allard, Robert, Voirin, Nicolas, Lepape, Alain, Allaouchiche, Bernard, Guerin, Claude, Lehot, Jean‐Jacques, Robert, Marc‐Olivier, Fournier, Gérard, Jacques, Didier, Chassard, Dominique, Gueugniaud, Pierre‐Yves, Artru, François, Petit, Paul, Robert, Dominique, Mohammedi, Ismaël, Girard, Raphaëlle, Cêtre, Jean‐Charles, Nicolle, Marie‐Christine, Grando, Jacqueline, Fabry, Jacques, and Vanhems, Philippe

Published
2010
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44. Additional file 1 of Seasonality of confirmed malaria cases from 2008 to 2017 in Togo: a time series analysis by health district and target group

Author

Thomas, Anne, Bakai, Tchaa A., Atcha-Oubou, Tinah, Tchadjobo, Tchassama, Bossard, Nadine, Rabilloud, Muriel, and Voirin, Nicolas

Abstract

Additional file 1: Table S1. Mean absolute error (MAE) of additive and multiplicative time series decomposition models by health district and target group. Figure S1. Description of confirmed malaria cases for each health district in children < 5 years old (A), in children ��� 5 years old and adults (B), and in pregnant women (C) before and after imputation by spline interpolation, from 2008 to 2017 in Togo. Health regions and target groups have different Y-axis scales. Figure S2. Autocorrelograms of residuals estimated by the decomposition procedure for each health district in children < 5 years old (A), in children ��� 5 years old and adults (B), and in pregnant women (C). Abbreviation: ACF, autocorrelation function. Figure S3. Change of the number of confirmed malaria cases according to the month of the year during the period 2008���2017 in Togo. The box plots represent the distribution of the number of cases for the decade studied, stratified by month. Data are grouped by target group. Time series have different Y-axis scales. Figure S4. Change of the number of confirmed malaria cases according to the month of the year during the period 2008-2017 in Togo. The box plots represent the distribution of the number of cases for the decade studied, stratified by month. Each health district in children < 5 years old (A), in children ��� 5 years old and adults (B), and in pregnant women (C) are presented. Time series have different Y-axis scales. Figure S5. Results of different imputation strategies of the values of the two artificial peaks on seasonal component estimated by the decomposition procedure. Each health district in children < 5 years old (A), in children ��� 5 years old and adults (B), and in pregnant women (C) are presented. Imputation by spline interpolation (main analysis), imputation by last observation carried forward, and no imputation (original data) corresponds to the grey, orange and red curves, respectively. Filled dots indicate maximum seasonal indices and empty dots indicate minimum seasonal indices. Time series have different Y-axis scales.

Published
2021
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48. UVEITIS TREATED WITH DEXAMETHASONE IMPLANT

Author

Mathis, Thibaud, primary, Cerquaglia, Alessio, additional, Weber, Michel, additional, Guillarme-Sallit, Rébecca, additional, Malclès, Ariane, additional, Voirin, Nicolas, additional, Servant, Marion, additional, Sudhalkar, Aditya, additional, Bilgic, Alper, additional, Denis, Philippe, additional, Sève, Pascal, additional, Bodaghi, Bahram, additional, and Kodjikian, Laurent, additional

Published
2021
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49. Visual Acuity Gain Profiles and Anatomical Prognosis Factors in Patients with Drug-Naive Diabetic Macular Edema Treated with Dexamethasone Implant: The NAVEDEX Study

Author

Pinto, Mauricio, primary, Mathis, Thibaud, additional, Massin, Pascale, additional, Akesbi, Jad, additional, Lereuil, Théo, additional, Voirin, Nicolas, additional, Matonti, Frédéric, additional, Fajnkuchen, Franck, additional, Conrath, John, additional, Milazzo, Solange, additional, Korobelnik, Jean-François, additional, Baillif, Stéphanie, additional, Denis, Philippe, additional, Creuzot-Garcher, Catherine, additional, Srour, Mayer, additional, Dupas, Bénédicte, additional, Sudhalkar, Aditya, additional, Bilgic, Alper, additional, Tadayoni, Ramin, additional, Souied, Eric H, additional, Dot, Corinne, additional, and Kodjikian, Laurent, additional

Published
2021
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