1
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Bojja D, Zuo S, Townsend JP. Sufficient COVID-19 quarantine and testing on international travelers to forestall cross-border transmission after China's removal of the zero-COVID policy in early 2023. Int J Infect Dis 2024; 145:107097. [PMID: 38750721 DOI: 10.1016/j.ijid.2024.107097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 04/29/2024] [Accepted: 05/11/2024] [Indexed: 06/13/2024] Open
Abstract
BACKGROUND Removal of zero-COVID restrictions in China led to a surge in COVID-19 cases. In response, countries imposed restrictions on Chinese travelers. However, border policies imposed may not have been informed by accurate data and may not have provided substantial benefits. METHODS We analyzed quarantines sufficient to prevent additional in-country transmission for February 13-19, 2023 based on World Health Organization (WHO) and self-reported infections to estimate prevalence. RESULTS We have shown that self-reported prevalence data indicated more stringent border restrictions compared to WHO-published prevalence statistics. No travel restrictions were required for Singapore, South Korea, and Japan so that infections would not be greater than with complete border closure. However, a 1-, 2-, and 3-day quarantine were indicated for England, Germany, and Scotland respectively. A 10-, 13-, and 14-day quarantine were required for Italy, France, and the Philippines, respectively, to prevent an increase in within-country infections due to travel. Vietnam and Thailand required a complete border shutdown. CONCLUSION Our results demonstrated the necessity for accurate and timely reporting of pandemic statistics to prevent an increase in viral spread. Through the minimum quarantine analysis, countries can use science to determine policy, minimize international friction, and improve the cost-efficiency of interventions.
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Affiliation(s)
| | - Scott Zuo
- Department of Biostatistics, Yale Graduate School of Arts and Sciences, New Haven, CT, USA
| | - Jeffrey P Townsend
- Department of Biostatistics, Yale Graduate School of Arts and Sciences, New Haven, CT, USA; Program in Microbiology, Yale University, New Haven, CT, USA; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
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2
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Liu P, Cai J, Tian H, Li J, Lu L, Xu M, Zhu X, Fu X, Wang X, Zhong H, Jia R, Ge Y, Zhu Y, Zeng M, Xu J. Characteristics of SARS-CoV-2 Omicron BA.5 variants in Shanghai after ending the zero-COVID policy in December 2022: a clinical and genomic analysis. Front Microbiol 2024; 15:1372078. [PMID: 38605705 PMCID: PMC11007228 DOI: 10.3389/fmicb.2024.1372078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 03/15/2024] [Indexed: 04/13/2024] Open
Abstract
Introduction An unprecedented surge of Omicron infections appeared nationwide in China in December 2022 after the adjustment of the COVID-19 response policy. Here, we report the clinical and genomic characteristics of SARS-CoV-2 infections among children in Shanghai during this outbreak. Methods A total of 64 children with symptomatic COVID-19 were enrolled. SARS-CoV-2 whole genome sequences were obtained using next-generation sequencing (NGS) technology. Patient demographics and clinical characteristics were compared between variants. Phylogenetic tree, mutation spectrum, and the impact of unique mutations on SARS-CoV-2 proteins were analysed in silico. Results The genomic monitoring revealed that the emerging BA.5.2.48 and BF.7.14 were the dominant variants. The BA.5.2.48 infections were more frequently observed to experience vomiting/diarrhea and less frequently present cough compared to the BF.7.14 infections among patients without comorbidities in the study. The high-frequency unique non-synonymous mutations were present in BA.5.2.48 (N:Q241K) and BF.7.14 (nsp2:V94L, nsp12:L247F, S:C1243F, ORF7a:H47Y) with respect to their parental lineages. Of these mutations, S:C1243F, nsp12:L247F, and ORF7a:H47Y protein were predicted to have a deleterious effect on the protein function. Besides, nsp2:V94L and nsp12:L247F were predicted to destabilize the proteins. Discussion Further in vitro to in vivo studies are needed to verify the role of these specific mutations in viral fitness. In addition, continuous genomic monitoring and clinical manifestation assessments of the emerging variants will still be crucial for the effective responses to the ongoing COVID-19 pandemic.
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Affiliation(s)
- Pengcheng Liu
- Department of Clinical Laboratory, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Jiehao Cai
- Department of Infectious Diseases, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - He Tian
- Department of Infectious Diseases, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Jingjing Li
- Department of Infectious Diseases, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Lijuan Lu
- Department of Clinical Laboratory, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Menghua Xu
- Department of Clinical Laboratory, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Xunhua Zhu
- Department of Clinical Laboratory, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Xiaomin Fu
- Department of Infectious Diseases, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Xiangshi Wang
- Department of Infectious Diseases, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Huaqing Zhong
- Department of Clinical Laboratory, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Ran Jia
- Department of Clinical Laboratory, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Yanling Ge
- Department of Infectious Diseases, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Yanfeng Zhu
- Department of Infectious Diseases, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Mei Zeng
- Department of Infectious Diseases, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Jin Xu
- Department of Clinical Laboratory, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
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3
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Timilsina U, Ivey EB, Duffy S, Plianchaisuk A, The Genotype to Phenotype Japan (G2P-Japan) Consortium, Ito J, Sato K, Stavrou S. SARS-CoV-2 ORF7a Mutation Found in BF.5 and BF.7 Sublineages Impacts Its Functions. Int J Mol Sci 2024; 25:2351. [PMID: 38397027 PMCID: PMC10889720 DOI: 10.3390/ijms25042351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 02/06/2024] [Accepted: 02/09/2024] [Indexed: 02/25/2024] Open
Abstract
A feature of the SARS-CoV-2 Omicron subvariants BF.5 and BF.7 that recently circulated mainly in China and Japan was the high prevalence of the ORF7a: H47Y mutation, in which the 47th residue of ORF7a has been mutated from a histidine (H) to a tyrosine (Y). Here, we evaluated the effect of this mutation on the three main functions ascribed to the SARS-CoV-2 ORF7a protein. Our findings show that H47Y mutation impairs the ability of SARS-CoV-2 ORF7a to antagonize the type I interferon (IFN-I) response and to downregulate major histocompatibility complex I (MHC-I) cell surface levels, but had no effect in its anti-SERINC5 function. Overall, our results suggest that the H47Y mutation of ORF7a affects important functions of this protein, resulting in changes in virus pathogenesis.
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Affiliation(s)
- Uddhav Timilsina
- Department of Microbiology and Immunology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USA; (U.T.); (E.B.I.); (S.D.)
| | - Emily B. Ivey
- Department of Microbiology and Immunology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USA; (U.T.); (E.B.I.); (S.D.)
| | - Sean Duffy
- Department of Microbiology and Immunology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USA; (U.T.); (E.B.I.); (S.D.)
| | - Arnon Plianchaisuk
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8369, Japan; (A.P.); (J.I.); (K.S.)
| | | | - Jumpei Ito
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8369, Japan; (A.P.); (J.I.); (K.S.)
| | - Kei Sato
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8369, Japan; (A.P.); (J.I.); (K.S.)
- International Research Center for Infectious Diseases, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8369, Japan
- Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan
- Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa 277-8581, Japan
- International Vaccine Design Center, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
- Collaboration Unit for Infection, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto 860-0862, Japan
- CREST, Japan Science and Technology Agency, Kawaguchi 332-0012, Japan
| | - Spyridon Stavrou
- Department of Microbiology and Immunology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USA; (U.T.); (E.B.I.); (S.D.)
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4
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Qu Z. Interpreting COVID-19 data from China: a call for caution. Lancet 2024; 403:144. [PMID: 38218609 DOI: 10.1016/s0140-6736(23)01745-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 08/18/2023] [Indexed: 01/15/2024]
Affiliation(s)
- Zhi Qu
- Transplant Centre and Institute for Epidemiology, Social Medicine, and Health Systems Research, Hannover Medical School, Hannover 30625, Germany.
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5
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Wang L, Wang Q, Gao GF. Interpreting COVID-19 data from China: a call for caution - Authors' reply. Lancet 2024; 403:144-145. [PMID: 38218610 DOI: 10.1016/s0140-6736(23)01744-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 08/18/2023] [Indexed: 01/15/2024]
Affiliation(s)
- Liang Wang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Center for Influenza Research and Early-warning (CASCIRE), CAS-TWAS Center of Excellence for Emerging Infectious Diseases (CEEID), Chinese Academy of Sciences (CAS), Beijing 100101, China.
| | - Quanyi Wang
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - George F Gao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Center for Influenza Research and Early-warning (CASCIRE), CAS-TWAS Center of Excellence for Emerging Infectious Diseases (CEEID), Chinese Academy of Sciences (CAS), Beijing 100101, China; University of Chinese Academy of Sciences, Beijing, China
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6
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Chen J, Wang Y, Yu H, Wang R, Yu X, Huang H, Ai L, Zhang T, Huang B, Liu M, Ding T, Luo Y, Chen P. Epidemiological and laboratory characteristics of Omicron infection in a general hospital in Guangzhou: a retrospective study. Front Public Health 2023; 11:1289668. [PMID: 38094227 PMCID: PMC10716230 DOI: 10.3389/fpubh.2023.1289668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 11/16/2023] [Indexed: 12/18/2023] Open
Abstract
The COVID-19 pandemic caused by SARS-CoV-2 has emerged as a major global public health concern. In November 2022, Guangzhou experienced a significant outbreak of Omicron. This study presents detailed epidemiological and laboratory data on Omicron infection in a general hospital in Guangzhou between December 1, 2022, and January 31, 2023. Out of the 55,296 individuals tested, 12,346 were found to be positive for Omicron. The highest prevalence of positive cases was observed in the 20 to 39 age group (24.6%), while the lowest was in children aged 0 to 9 years (1.42%). Females had a higher incidence of infection than males, accounting for 56.6% of cases. The peak time of Omicron infection varied across different populations. The viral load was higher in older adults and children infected with Omicron, indicating age-related differences. Spearman's rank correlation analysis revealed positive correlations between Ct values and laboratory parameters in hospitalized patients with Omicron infection. These parameters included CRP (rs = 0.059, p = 0.009), PT (rs = 0.057, p = 0.009), INR (rs = 0.055, p = 0.013), AST (rs = 0.067, p = 0.002), LDH (rs = 0.078, p = 0.001), and BNP (rs = 0.063, p = 0.014). However, EO (Eosinophil, rs = -0.118, p < 0.001), BASO (basophil, rs = -0.093, p < 0.001), and LY (lymphocyte, rs = -0.069, p = 0.001) counts showed negative correlations with Ct values. Although statistically significant, the correlation coefficients between Ct values and these laboratory indices were very low. These findings provide valuable insights into the epidemiology of Omicron infection, including variations in Ct values across gender and age groups. However, caution should be exercised when utilizing Ct values in clinical settings for evaluating Omicron infection.
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Affiliation(s)
- Jingrou Chen
- Department of Laboratory Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yang Wang
- Department of Laboratory Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Hongwei Yu
- Department of Radiation Hygiene and Protection, Guangdong Province Prevention and Treatment Center for Occupational Diseases, Guangzhou, China
| | - Ruizhi Wang
- Department of Laboratory Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xuegao Yu
- Department of Laboratory Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Hao Huang
- Department of Laboratory Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Lu Ai
- Department of Laboratory Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Tianruo Zhang
- Department of Medical Laboratory Technology, Medical College of Jiaying University, Meizhou, China
| | - Bin Huang
- Department of Laboratory Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Min Liu
- Department of Laboratory Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Tao Ding
- Department of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Diseases Control, Ministry of Education, Sun Yat-sen University, Guangzhou, China
| | - Yifeng Luo
- Division of Pulmonary and Critical Care Medicine, Institute of Respiratory Diseases, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Peisong Chen
- Department of Laboratory Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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7
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de Prost N, Audureau E, Préau S, Favory R, Guigon A, Bay P, Heming N, Gault E, Pham T, Chaghouri A, Voiriot G, Morand-Joubert L, Jochmans S, Pitsch A, Meireles S, Contou D, Henry A, Joseph A, Chaix ML, Uhel F, Descamps D, Emery M, Garcia-Sanchez C, Luyt CE, Marot S, Pène F, Lhonneur AS, Gaudry S, Brichler S, Picard L, Mekontso Dessap A, Rodriguez C, Pawlotsky JM, Fourati S. Clinical phenotypes and outcomes associated with SARS-CoV-2 Omicron variants BA.2, BA.5 and BQ.1.1 in critically ill patients with COVID-19: a prospective, multicenter cohort study. Intensive Care Med Exp 2023; 11:48. [PMID: 37544942 PMCID: PMC10404579 DOI: 10.1186/s40635-023-00536-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 07/10/2023] [Indexed: 08/08/2023] Open
Abstract
BACKGROUND Despite current broad natural and vaccine-induced protection, a substantial number of patients infected with emerging SARS-CoV-2 variants (e.g., BF.7 and BQ.1.1) still experience severe COVID-19. Real-life studies investigating the impact of these variants on clinical outcomes of severe cases are currently not available. We performed a prospective multicenter observational cohort study. Adult patients with acute respiratory failure admitted between December 7, 2021 and December 15, 2022, in one of the 20 participating intensive care units (17 from the Greater Paris area and 3 from the North of France) were eligible for inclusion if they had SARS-CoV-2 infection confirmed by a positive reverse transcriptase-polymerase chain reaction (RT-PCR). Full-length SARS-CoV-2 genomes from all included patients were sequenced by means of next-generation sequencing. The primary endpoint of the study was day-28 mortality. RESULTS The study included 158 patients infected with three groups of Omicron sublineages, including (i) BA.2 variants and their early sublineages referred as "BA.2" (n = 50), (ii) early BA.4 and BA.5 sublineages (including BA.5.1 and BA.5.2, n = 61) referred as "BA.4/BA.5", and (iii) recent emerging BA.5 sublineages (including BQ.1, BQ.1.1, BF.7, BE.1 and CE.1, n = 47) referred as "BQ.1.1". The clinical phenotype of BQ1.1-infected patients compared to earlier BA.2 and BA.4/BA.5 sublineages, showed more frequent obesity and less frequent immunosuppression. There was no significant difference between Omicron sublineage groups regarding the severity of the disease at ICU admission, need for organ failure support during ICU stay, nor day 28 mortality (21.7%, n = 10/47 in BQ.1.1 group vs 26.7%, n = 16/61 in BA.4/BA.5 vs 22.0%, n = 11/50 in BA.2, p = 0.791). No significant relationship was found between any SARS-CoV-2 substitution and/or deletion on the one hand and survival on the other hand over hospital follow-up. CONCLUSIONS Critically-ill patients with Omicron BQ.1.1 infection showed a different clinical phenotype than other patients infected with earlier Omicron sublineage but no day-28 mortality difference.
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Affiliation(s)
- Nicolas de Prost
- Service de Médecine Intensive Réanimation, Hôpitaux Universitaires Henri Mondor, Assistance Publique, Hôpitaux de Paris (AP-HP), Créteil, France.
- Groupe de Recherche Clinique CARMAS, Université Paris-Est-Créteil (UPEC), Créteil, France.
- Université Paris-Est-Créteil (UPEC), Créteil, France.
| | - Etienne Audureau
- Université Paris-Est-Créteil (UPEC), Créteil, France
- Department of Public Health, Hôpitaux Universitaires Henri Mondor, Assistance Publique, Hôpitaux de Paris (AP-HP), Créteil, France
- IMRB INSERM U955, Team CEpiA, Créteil, France
| | - Sébastien Préau
- U1167, RID-AGE Facteurs de Risque et Déterminants Moléculaires des Maladies Liées au Vieillissement, University Lille, Inserm, CHU Lille, Institut Pasteur de Lille, 59000, Lille, France
| | - Raphaël Favory
- U1167, RID-AGE Facteurs de Risque et Déterminants Moléculaires des Maladies Liées au Vieillissement, University Lille, Inserm, CHU Lille, Institut Pasteur de Lille, 59000, Lille, France
| | - Aurélie Guigon
- Service de Virologie, CHU de Lille, 59000, Lille, France
| | - Pierre Bay
- Service de Médecine Intensive Réanimation, Hôpitaux Universitaires Henri Mondor, Assistance Publique, Hôpitaux de Paris (AP-HP), Créteil, France
- Groupe de Recherche Clinique CARMAS, Université Paris-Est-Créteil (UPEC), Créteil, France
| | - Nicholas Heming
- Médecine Intensive Réanimation, Hôpital Raymond Poincaré, Assistance Publique, Hôpitaux de Paris (AP-HP), Garches, France
| | - Elyanne Gault
- Laboratoire de Virologie, Hôpital Ambroise Paré, Assistance Publique, Hôpitaux de Paris (AP-HP), Boulogne, France
| | - Tài Pham
- Groupe de Recherche Clinique CARMAS, Université Paris-Est-Créteil (UPEC), Créteil, France
- Service de Médecine Intensive-Réanimation, Assistance Publique, Hôpitaux de Paris, Hôpital de Bicêtre, DMU 4 CORREVE Maladies du Cœur et Des Vaisseaux, FHU Sepsis, Le Kremlin-Bicêtre, France
- Inserm U1018, Equipe d'Epidémiologie Respiratoire Intégrative, CESP, 94807, Villejuif, France
| | - Amal Chaghouri
- Laboratoire de Virologie, Hôpital Paul Brousse, Assistance Publique, Hôpitaux de Paris, Villejuif, France
| | - Guillaume Voiriot
- Sorbonne Université, Centre de Recherche Saint-Antoine INSERM, Médecine Intensive Réanimation, Hôpital Tenon, Assistance Publique, Hôpitaux de Paris, Paris, France
| | - Laurence Morand-Joubert
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France
- Laboratoire de Virologie, Hôpital Saint-Antoine, Assistance Publique, Hôpitaux de Paris, 75012, Paris, France
| | | | - Aurélia Pitsch
- Laboratoire de Microbiologie, Hôpital Marc Jacquet, Melun, France
| | - Sylvie Meireles
- Service de Réanimation Médico-Chirurgicale, Assistance Publique, Hôpitaux de Paris, Hôpital Ambroise Paré, Boulogne, France
| | - Damien Contou
- Service de Réanimation, Hôpital Victor Dupouy, Argenteuil, France
| | - Amandine Henry
- Service de Virologie, Hôpital Victor Dupouy, Argenteuil, France
| | - Adrien Joseph
- Médecine Intensive Réanimation, Hôpital Saint-Louis, Assistance Publique, Hôpitaux de Paris, Paris, France
| | - Marie-Laure Chaix
- Université de Paris, Inserm HIPI, 75010, Paris, France
- Laboratoire de Virologie, Hôpital Saint-Louis, Assistance Publique, Hôpitaux de Paris, 75010, Paris, France
| | - Fabrice Uhel
- n, Université de Paris, APHP, Hôpital Louis Mourier, DMU ESPRIT, Service de Médecine Intensive Réanimatio, Colombes, France
- INSERM U1151, CNRS UMR 8253, Institut Necker-Enfants Malades (INEM), Department of Immunology, Infectiology and Hematology, Paris, France
| | - Diane Descamps
- Université de Paris, IAME INSERM UMR 1137, Service de Virologie, Hôpital Bichat-Claude Bernard, Assistance Publique, Hôpitaux de Paris, Paris, France
| | - Malo Emery
- Service de Réanimation, Hôpital Saint-Camille, Bry-Sur-Marne, France
| | | | - Charles-Edouard Luyt
- Sorbonne Université, Assistance Publique, Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Médecine Intensive Réanimation, Paris, France
- INSERM UMRS_1166-iCAN, Institute of Cardiometabolism and Nutrition, Paris, France
| | - Stéphane Marot
- Département de Virologie, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
| | - Frédéric Pène
- Médecine Intensive Réanimation, Hôpital Cochin, Assistance Publique, Hôpitaux de Paris, Paris, France
| | - Anne-Sophie Lhonneur
- Laboratoire de Virologie, Hôpital Cochin, Assistance Publique, Hôpitaux de Paris, Paris, France
| | - Stéphane Gaudry
- Service de Réanimation, Hôpital Avicenne, Assistance Publique, Hôpitaux de Paris, Bobigny, France
| | - Ségolène Brichler
- Laboratoire de Virologie, Hôpital Avicenne, Assistance Publique, Hôpitaux de Paris, Bobigny, France
| | - Lucile Picard
- Département d'Anesthésie Réanimations Chirurgicales, Hôpitaux Universitaires Henri Mondor, Assistance Publique, Hôpitaux de Paris (AP-HP), Créteil, France
| | - Armand Mekontso Dessap
- Service de Médecine Intensive Réanimation, Hôpitaux Universitaires Henri Mondor, Assistance Publique, Hôpitaux de Paris (AP-HP), Créteil, France
- Groupe de Recherche Clinique CARMAS, Université Paris-Est-Créteil (UPEC), Créteil, France
- Université Paris-Est-Créteil (UPEC), Créteil, France
| | - Christophe Rodriguez
- Université Paris-Est-Créteil (UPEC), Créteil, France
- Department of Virology, Hôpitaux Universitaires Henri Mondor, Assistance Publique, Hôpitaux de Paris, Créteil, France
- INSERM U955, Team "Viruses, Hepatology, Cancer", Créteil, France
| | - Jean-Michel Pawlotsky
- Université Paris-Est-Créteil (UPEC), Créteil, France
- Department of Virology, Hôpitaux Universitaires Henri Mondor, Assistance Publique, Hôpitaux de Paris, Créteil, France
- INSERM U955, Team "Viruses, Hepatology, Cancer", Créteil, France
| | - Slim Fourati
- Université Paris-Est-Créteil (UPEC), Créteil, France
- Department of Virology, Hôpitaux Universitaires Henri Mondor, Assistance Publique, Hôpitaux de Paris, Créteil, France
- INSERM U955, Team "Viruses, Hepatology, Cancer", Créteil, France
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8
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He G, Jones JA, Sun W. COVID-19 travel policies for people from China and discrimination. THE LANCET. INFECTIOUS DISEASES 2023; 23:282-283. [PMID: 36731477 PMCID: PMC9886285 DOI: 10.1016/s1473-3099(23)00052-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 01/17/2023] [Accepted: 01/18/2023] [Indexed: 02/02/2023]
Affiliation(s)
- Guiqing He
- Department of Infectious Diseases and Laboratory of Infectious Diseases, Wenzhou Central Hospital, The Dingli Clinical College of Wenzhou Medical University, Wenzhou, China
| | - Jeffery A Jones
- Department of Health Policy and Community Health, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA
| | - Wenjie Sun
- Department of Rural Health, Oklahoma State University Center for Health Sciences, Tulsa, OK 74135, USA.
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9
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Zhang L, Zhang Y, Duan W, Wu S, Sun Y, Ma C, Wang Q, Zhang D, Yang P. Using an influenza surveillance system to estimate the number of SARS-CoV-2 infections in Beijing, China, weeks 2 to 6 2023. Euro Surveill 2023; 28:2300128. [PMID: 36927716 PMCID: PMC10021470 DOI: 10.2807/1560-7917.es.2023.28.11.2300128] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Abstract
With COVID-19 public health control measures downgraded in China in January 2023, reported COVID-19 case numbers may underestimate the true numbers after the SARS-CoV-2 Omicron wave. Using a multiplier model based on our influenza surveillance system, we estimated that the overall incidence of SARS-CoV-2 infections was 392/100,000 population in Beijing during the 5 weeks following policy adjustment. No notable change occurred after the Spring Festival in early February. The multiplier model provides an opportunity for assessing the actual COVID-19 situation.
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Affiliation(s)
- Li Zhang
- Beijing Center for Disease Prevention and Control, Dongcheng District, Beijing, China
| | - Yi Zhang
- General Administration of Customs (Beijing) International Travel Health Care Center, Dongcheng District, Beijing, China
| | - Wei Duan
- Beijing Center for Disease Prevention and Control, Dongcheng District, Beijing, China
| | - Shuangsheng Wu
- Beijing Center for Disease Prevention and Control, Dongcheng District, Beijing, China
| | - Ying Sun
- Beijing Center for Disease Prevention and Control, Dongcheng District, Beijing, China
| | - Chunna Ma
- Beijing Center for Disease Prevention and Control, Dongcheng District, Beijing, China
| | - Quanyi Wang
- Beijing Center for Disease Prevention and Control, Dongcheng District, Beijing, China
| | - Daitao Zhang
- Beijing Center for Disease Prevention and Control, Dongcheng District, Beijing, China
| | - Peng Yang
- Beijing Center for Disease Prevention and Control, Dongcheng District, Beijing, China
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10
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Preiser W, Maponga T. So far, no novel SARS-CoV-2 variants from Beijing-and hopefully better scientific cooperation going forward. Lancet 2023; 401:621-622. [PMID: 36773617 PMCID: PMC9908086 DOI: 10.1016/s0140-6736(23)00268-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 01/27/2023] [Indexed: 02/11/2023]
Affiliation(s)
- Wolfgang Preiser
- Division of Medical Virology, Faculty of Medicine and Health Sciences, University of Stellenbosch, National Health Laboratory Service Tygerberg Campus, Cape Town 7505, South Africa.
| | - Tongai Maponga
- Division of Medical Virology, Faculty of Medicine and Health Sciences, University of Stellenbosch, National Health Laboratory Service Tygerberg Campus, Cape Town 7505, South Africa
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11
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Using the rear-view mirror to look forward. Euro Surveill 2023; 28:220112e. [PMID: 36695481 PMCID: PMC9837852 DOI: 10.2807/1560-7917.es.2023.28.2.220112e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Indexed: 01/14/2023] Open
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