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17. COVID-19 hotspots through clusters analysis in France (may-October 2020): where should we track the virus to mitigate the spread?

Author

Spaccaferri, G, Calba, C, Vilain, P, Garras, L, Durand, C, Pilorget, C, Atiki, N, Bernillon, P, Bosc, L, Fougère, E, Hanon, J-B, Henry, V, Huchet-Kervella, C, Martel, M, Pontiès, V, Mouly, D, Rolland du Roscoat, E, Le Vu, S, Desenclos, J-C, Laporte, A, Regional MONIC group, and Rolland, P

Subjects
Typology, medicine.medical_specialty, 1117 Public Health and Health Services, Clusters, Environmental health, Health care, Epidemiology, medicine, Humans, Regional MONIC group, Criticality, Public health, Descriptive statistics, business.industry, SARS-CoV-2, Public Health, Environmental and Occupational Health, Overtime, COVID-19, Communicable Disease Control, Hotspots, France, Biostatistics, Public aspects of medicine, RA1-1270, Contact Tracing, business, Descriptive analysis, Contact tracing, Research Article
Abstract

Background In France, the lifting of the lockdown implemented to control the COVID-19 first wave in 2020 was followed by a reinforced contact-tracing (CT) strategy for the early detection of cases and transmission chains. We developed a reporting system of clusters defined as at least three COVID-19 cases, within seven days and belonging to the same community or having participated in the same gathering, whether they know each other or not. The aim of this study was to describe the typology and criticality of clusters reported between the two lockdowns in France to guide future action prioritisation. Methods In this study we describe the typology and criticality of COVID-19 clusters between the two lockdowns implemented in France (between May and end of October 2020). Clusters were registered in a national database named “MONIC” (MONItoring des Clusters), established in May 2020. This surveillance system identified the most affected communities in a timely manner. A level of criticality was defined for each cluster to take into consideration the risk of spreading within and outside the community of occurrence, and the health impact within the community. We compared the level of criticality according to the type of community in which the cluster occurred using Pearson’s chi-square tests. Results A total of 7236 clusters were reported over the study period, particularly in occupational environment (25.1%, n = 1813), elderly care structures (21.9%, n = 1586), and educational establishments (15.9%, n = 1154). We show a shift over time of the most affected communities in terms of number of clusters. Clusters reported in occupational environment and the personal sphere had increased during summer while clusters reported in educational environment increased after the start of the school year. This trend mirrors change of transmission pattern overtime according to social contacts. Among all reported clusters, 43.1% had a high level of criticality with significant differences between communities (p Conclusion These results highlight the importance of targeting public health action based on timely sustained investigations, testing capacity and targeted awareness campaigns. The emergence of new SARS-CoV-2 variants strengthen these public health recommendations and the need for rapid and prioritise vaccination campaigns.

Published
2021

45. ACKNOWLEDGEMENT OF REVIEWERS

Author

Adams, NG, Adekambi, T, Afeltra, J, Aguado, J, Aires de Sousa, M, Akiyoshi, K, Al Hasan, M, Ala-Kokko, T, Albert, M, Alfandari, S, Allen, D, Allerberger, F, Almyroudis, N, Alp, E, Amin, R, Anderson-Berry, A, Andes, DR, Andremont, A, Andreu, A, Angelakis, M, Antachopoulos, C, Antoniadou, A, Arabatzis, M, Arlet, G, Arnez, M, Arnold, C, Asensio, A, Asseray, N, Ausiello, C, Avni, T, Ayling, R, Baddour, L, Baguelin, M, Bányai, K, Barbour, A, Basco, LK, Bauer, D, Bayston, R, Beall, B, Becker, K, Behr, M, Bejon, P, Belliot, G, Benito-Fernandez, J, Benjamin, D, Benschop, K, Berencsi, G, Bergeron, MG, Bernard, K, Berner, R, Beyersmann, J, Bille, J, Bizzini, A, Bjarnsholt, T, Blanc, D, Blanco, J, Blot, S, Bohnert, J, Boillat, N, Bonomo, R, Bonten, M, Bordon, JM, Borel, N, Boschiroli, ML, Bosilkovski, M, Bosso, JA, Botelho-Nevers, E, Bou, G, Bretagne, S, Brouqui, P, Brun-Buisson, C, Brunetto, M, Bucher, H, Buchheidt, D, Buckling, A, Bulpa, P, Cambau, E, Canducci, F, Cantón, R, Capobianchi, M, Carattoli, A, Carcopino, X, Cardona-Castro, N, Carling, PC, Carrat, F, Castilla, J, Castilletti, C, Cavaco, L, Cavallo, R, Ceccherini-Silberstein, F, Centrón, D, Chappuis, F, Charrel, R, Chen, M, Chevaliez, S, Chezzi, C, Chomel, B, Chowers, M, Chryssanthou, E, Ciammaruconi, A, Ciccozzi, M, Cid, J, Ciofu, O, Cisneros, D, Ciufolini, MG, Clark, C, Clarke, SC, Clayton, R, Clementi, M, Clemons, K, Cloeckaert, Ael, Cloud, J, Coenye, T, Cohen Bacri, S, Cohen, R, Coia, J, Colombo, A, Colson, P, Concerse, P, Cordonnier, C, Cormican, M, Cornaglia, G, Cornely, O, Costa, S, Cots, F, Craxi, A, Creti, R, Crnich, C, Cuenca Estrella, M, Cusi, MG, d'Ettorre, G, da Cruz Lamas, C, Daikos, G, Dannaoui, E, De Barbeyrac, B, De Grazia, S, de Jager, C, de Lamballerie, X, de Marco, F, del Palacio, A, Delpeyroux, F, Denamur, E, Denis, O, Depaquit, J, Deplano, A, Desenclos, J-C, Desjeux, P, Deutch, S, Di Luca, D, Dianzani, F, Diep, B, Diestra, K, Dignani, C, Dimopoulos, G, Divizia, M, Doi, Y, Dornbusch, HJ, Dotis, J, Drancourt, M, Drevinek, P, Dromer, F, Dryden, M, Dubreuil, L, Dubus, J-C, Dumitrescu, O, Dumke, R, DuPont, H, Edelstein, M, Eggimann, P, Eis-Huebinger, A-M, El Atrouni, WI, Entenza, J, Ergonul, O, Espinel-Ingroff, A, Esteban, J, Etienne, J, Fan, X-G, Fenollar, F, Ferrante, P, Ferrieri, P, Ferry, T, Feuchtinger, T, Finegold, S, Fingerle, V, Fitch, M, Fitzgerald, R, Flori, P, Fluit, A, Fontana, R, Fournier, PE, François, M, Francois, P, Freedman, DO, Friedrich, A, Gallego, L, Gallinella, G, Gangneux, J-P, Gannon, V, Garbarg-Chenon, A, Garbino, J, Garnacho-Montero, J, Gatermann, Soeren, Gautret, P, Gentile, G, Gerlich, W, Ghannoum, M, Ghebremedhin, B, Ghigo, E, Giamarellos-Bourboulis, E, Girgis, R, Giske, C, Glupczynski, Y, Gnarpe, J, Gomez-Barrena, E, Gorwitz, RJ, Gosselin, R, Goubau, P, Gould, E, Gradel, K, Gray, J, Gregson, D, Greub, G, Grijalva, CG, Groll, A, Groschup, M, Gutiérrez, J, Hackam, DG, Hall, WA, Hallett, R, Hansen, S, Harbarth, S, Harf-Monteil, C, Hasanjani, Roushan MR, Hasler, P, Hatchette, T, Hauser, P, He, Q, Hedges, A, Helbig, J, Hennequin, C, Herrmann, B, Hezode, C, Higgins, P, Hoesli, I, Hoiby, N, Hope, W, Houvinen, P, Hsu, LY, Huard, R, Humphreys, H, Icardi, M, Imoehl, M, Ivanova, K, Iwamoto, T, Izopet, J, Jackson, Y, Jacobsen, K, Jang, TN, Jasir, A, Jaulhac, B, Jaureguy, F, Jefferies, JM, Jehl, F, Johnstone, J, Joly-Guillou, M-L, Jonas, M, Jones, M, Joukhadar, C, Kahl, B, Kaier, K, Kaiser, L, Kato, H, Katragkou, A, Kearns, A, Kern, W, Kerr, K, Kessin, R, Kibbler, C, Kimberlin, D, Kittang, B, Klaassen, C, Kluytmans, J, Ko, W-C, Koh, W-J, Kostrzewa, M, Kourbeti, I, Krause, R, Krcmery, V, Krizova, P, Kuijper, E, Kullberg, B-J, Kumar, G, Kunin, CM, La Scola, B, Lagging, M, Lagrou, K, Lamagni, T, Landini, P, Landman, D, Larsen, A, Lass-Floerl, C, Laupland, K, Lavigne, JP, Leblebicioglu, H, Lee, B, Lee, CH, Leggat, P, Lehours, P, Leibovici, Lonard, Leon, L, Leonard, N, Leone, M, Lescure, X, Lesprit, P, Levy, PY, Lew, D, Lexau, CA, Li, S-Y, Li, W, Lieberman, D, Lina, B, Lina, G, Lindsay, JA, Livermore, D, Lorente, L, Lortholary, O, Lucet, J-C, Lund, B, Lütticken, R, MacLeod, C, Madhi, S, Maertens, J, Maggi, F, Maiden, M, Maillard, J-Y, Maira-Litran, T, Maltezou, H, Manian, FA, Mantadakis, E, Maragakis, L, Marcelin, A-G, Marchaim, D, Marchetti, O, Marcos, M, Markotic, A, Martina, B, Martínez, J, Martinez, J-L, Marty, F, Maurin, M, McGee, L, Mediannikov, O, Meersseman, W, Megraud, F, Meletiadis, J, Mellmann, A, Meyer, E, Meyer, W, Meylan, P, Michalopoulos, A, Micol, R, Midulla, F, Mikami, Y, Miller, RF, Miragaia, M, Miriagou, V, Mitchell, TJ, Miyakis, S, Mokrousov, I, Monecke, S, Mönkemüller, K, Monno, L, Monod, M, Morales, G, Moriarty, F, Morosini, I, Mortensen, E, Mubarak, K, Mueller, B, Mühlemann, K, Muñoz Bellido, JL, Murray, P, Muscillo, M, Mylotte, J, Naessens, A, Nagy, E, Nahm, MH, Nassif, X, Navarro, D, Navarro, F, Neofytos, D, Nes, I, Ní Eidhin, D, Nicolle, L, Niederman, MS, Nigro, G, Nimmo, G, Nordmann, P, Nougairède, A, Novais, A, Nygard, K, Oliveira, D, Orth, D, Ortiz, JR, Osherov, N, Österblad, M, Ostrosky-Zeichner, L, Pagano, L, Palamara, AT, Pallares, R, Panagopoulou, P, Pandey, P, Panepinto, J, Pappas, G, Parkins, M, Parola, P, Pasqualotto, A, Pasteran, F, Paul, M, Pawlotsky, J-M, Peeters, M, Peixe, L, Pepin, J, Peralta, G, Pereyre, S, Perfect, JR, Petinaki, E, Petric, M, Pettigrew, M, Pfaller, M, Philipp, M, Phillips, G, Pichichero, M, Pierangeli, A, Pierard, D, Pigrau, C, Pilishvili, T, Pinto, F, Pistello, M, Pitout, J, Poirel, L, Poli, G, Poppert, S, Posfay-Barbe, K, Pothier, P, Poxton, I, Poyart, C, Pozzetto, B, Pujol, M, Pulcini, C, Punyadeera, C, Ramirez, M, Ranque, S, Raoult, D, Rasigade, J-P, Re, MC, Reilly, JS, Reinert, R, Renaud, B, Rice, L, Rich, S, Richet, H, Rigouts, L, Riva, E, Rizzo, C, Robotham, J, Rodicio, MR, Rodriguez, J, Rodriguez-Bano, J, Rogier, C, Roilides, E, Rolain, J-M, Rooijakkers, S, Rooney, P, Rossi, F, Rotimi, V, Rottman, M, Roux, V, Ruhe, J, Russo, G, Sadowy, E, Sagel, U, Said, SI, Saijo, M, Sak, B, Sa-Leao, R, Sanders, EAM, Sanguinetti, M, Sarrazin, C, Savelkoul, P, Scheifele, D, Schmidt, W-P, Schønheyder, H, Schönrich, G, Schrenzel, J, Schubert, S, Schwarz, K, Schwarz, S, Sefton, A, Segondy, M, Seifert, H, Seng, P, Senneville, E, Sexton, D, Shafer, RW, Shalit, I, Shankar, N, Shata, TM, Shields, J, Sibley, C, Sicinschi, L, Siljander, T, Simitsopoulou, M, Simoons-Smit, AM, Sissoko, D, Sjögren, J, Skiada, A, Skoczynska, A, Skov, R, Slack, M, Sogaard, M, Sola, C, Soriano, A, Sotto, A, Sougakoff, W, Souli, M, Spelberg, B, Spelman, D, Spiliopoulou, I, Springer, B, Stefani, S, Stein, A, Steinbach, WJ, Steinbakk, M, Strakova, L, Strenger, V, Sturm, P, Sullivan, P, Sutton, D, Symmons, D, Tacconelli, E, Tamalet, C, Tang, JW, Tang, Y-W, Tattevin, P, Thibault, V, Thomsen, RW, Thuny, F, Tong, S, Torres, C, Townsend, R, Tristan, A, Trouillet, J-L, Tsai, H-C, Tsitsopoulos, P, Tuerlinckx, D, Tulkens, P, Tumbarello, M, Tureen, J, Turnidge, JD, Turriziani, O, Tutuian, R, Uçkay, I, Upton, M, Vabret, A, Vamvakas, EC, van den Boom, D, Van Eldere, J, van Leeuwen, W, van Strijp, J, Van Veen, S, Vandamme, P, Vandenesch, F, Vayssier, M, Velin, D, Venditti, M, Venter, M, Venuti, A, Vergnaud, G, Verheij, T, Verhofstede, C, Viscoli, C, Vizza, CD, Vogel, U, Waller, A, Wang, YF, Warn, P, Warris, A, Wauters, G, Weidmann, M, Weill, F-X, Weinberger, M, Welch, D, Wellinghausen, N, Wheat, J, Widmer, A, Wild, F, Willems, R, Willinger, B, Winstanley, C, Witte, W, Wolff, M, Wong, F, Wootton, M, Wyllie, D, Xu, W, Yamamoto, S, Yaron, S, Yildirim, I, Zaoutis, T, Zazzi, M, Zbinden, R, Zehender, Gianguglielmo G, Zemlickova, H, Zerbini, ML, Zhang, L, Zhang, Y, Zhao, Y-D, Zhu, Z, and Zimmerli, W

Published
2011
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48. Factors associated with hospital mortality in community-acquired legionellosis in France

Author

Chidiac, C., Che, D., Pires-Cronenberger, S., Jarraud, S., Campèse, C., Bissery, A., Weinbreck, P., Brun-Buisson, C., Sollet, J.-P., Ecochard, R., Desenclos, J.-C., Etienne, J., Vanhems, Philippe, Renseigné, Non, Biostatistiques santé, Département biostatistiques et modélisation pour la santé et l'environnement [LBBE], Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Département santé environnement, Institut de Veille Sanitaire (INVS), Immunité infection vaccination (I2V), and Université de Lyon-Université de Lyon-IFR128-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Male, Multivariate analysis, [SDV]Life Sciences [q-bio], MESH: Legionnaires' Disease, Kaplan-Meier Estimate, Disease, 0302 clinical medicine, MESH: Aged, 80 and over, Adrenal Cortex Hormones, Risk Factors, MESH: Risk Factors, Hospital Mortality, Prospective Studies, 030212 general & internal medicine, Young adult, Prospective cohort study, Aged, 80 and over, MESH: Aged, 0303 health sciences, MESH: Middle Aged, Middle Aged, MESH: Predictive Value of Tests, Anti-Bacterial Agents, 3. Good health, Community-Acquired Infections, MESH: Community-Acquired Infections, MESH: Young Adult, Predictive value of tests, Radiological weapon, Female, France, Legionnaires' Disease, Adult, Pulmonary and Respiratory Medicine, medicine.medical_specialty, Adolescent, Corticosteroid treatment, Hospital mortality, MESH: Multivariate Analysis, Legionella pneumophila, MESH: Adrenal Cortex Hormones, Young Adult, 03 medical and health sciences, Predictive Value of Tests, Internal medicine, MESH: Anti-Bacterial Agents, medicine, Humans, MESH: Hospital Mortality, MESH: Kaplan-Meier Estimate, Aged, MESH: Adolescent, MESH: Humans, 030306 microbiology, business.industry, MESH: Adult, MESH: Legionella pneumophila, MESH: Prospective Studies, MESH: Male, Surgery, MESH: France, Multivariate Analysis, business, MESH: Female
Abstract

International audience; The aims of this study were to describe the clinical, biological and radiological features of community-acquired (CA) Legionnaires' disease (LD) and identify the predictors of mortality in hospitalised patients. Demographic data, risk factors, clinical and biological features, medical management, complications, and outcome from 540 hospitalised patients with confirmed CA LD were prospectively recorded. 8.1% of patients (44 out of 540) died. The predictors of survival after Kaplan-Meier analysis were male sex (p = 0.01), age 500 mg * L(-1) (RH 2.14, 95% CI 1.02-4.48). Appropriate antibiotic therapy was prescribed for 70.8% (292 out of 412) of patients after admission and for 99.8% (537 out of 538) of patients after diagnosis confirmation. In conclusion, female sex, age, ICU stay, renal failure, corticosteroid treatment and increased level of CRP are significant risk factors for mortality in CA LD.

Published
2012

50. Risk factors for human hantavirus infection: Franco-Belgian collaborative case-control study during 1995-6 epidemic

Author

Crowcroft, N S., Infuso, A, Ilef, D, Le Guenno, B, Desenclos, J-C, Van Loock, F, and Clement, J

Subjects
Hantavirus infections -- Risk factors, Health, Risk factors
Abstract

Puumala hantavirus is the most common human hantavirus infection in Europe.[1 2] It is transmitted to humans by inhalation or contamination of skin breaches by urine or faeces of infected [...]

Published
1999

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