Literature DB >> 35656831

SARS-CoV-2 Omicron variants BA.1 and BA.2 both show similarly reduced disease severity of COVID-19 compared to Delta, Germany, 2021 to 2022.

Claudia Sievers1,2,3,4, Benedikt Zacher1,4, Alexander Ullrich1, Matthew Huska5, Stephan Fuchs5, Silke Buda1, Walter Haas1, Michaela Diercke1, Matthias An der Heiden1, Stefan Kröger1.   

Abstract

German national surveillance data analysis shows that hospitalisation odds associated with Omicron lineage BA.1 or BA.2 infections are up to 80% lower than with Delta infection, primarily in ≥ 35-year-olds. Hospitalised vaccinated Omicron cases' proportions (2.3% for both lineages) seemed lower than those of the unvaccinated (4.4% for both lineages). Independent of vaccination status, the hospitalisation frequency among cases with Delta seemed nearly threefold higher (8.3%) than with Omicron (3.0% for both lineages), suggesting that Omicron inherently causes less severe disease.

Entities:  

Keywords:  BA.1; BA.2; COVID-19; Delta; Omicron; SARS-CoV-2; VOC

Mesh:

Year:  2022        PMID: 35656831      PMCID: PMC9164675          DOI: 10.2807/1560-7917.ES.2022.27.22.2200396

Source DB:  PubMed          Journal:  Euro Surveill        ISSN: 1025-496X


Since week 46 2021, when it was first reported in South Africa, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant of concern (VOC) Omicron (Phylogenetic Assignment of Named Global Outbreak (Pango) lineage: B.1.1.529) sub-lineage BA.1 started circulating in Germany [1]. Subsequently, in week 51 2021 the sub-lineage BA.2 started to appear in the country. While BA.1 transmissibility is increased compared to that of the Delta VOC (Pango lineage: B.1.617.2) [2,3], BA.2 appears to have a higher effective reproduction number than BA.1 [4] and has become the dominant variant in Germany in week 08 2022 [5]. Early reports have suggested that BA.1 infection is less likely to result in severe disease than Delta infection [6-10], but little is known on the chances of severe disease associated with BA.2 infection [11,12]. Based on variant typing using whole genome sequencing (WGS) and epidemiological data from the German national surveillance database, this study aimed to estimate the odds ratios for severe disease progression (hospitalisation, admission to intensive care unit (ICU) or death) associated with BA.1 and BA.2 infections compared with Delta infection.

Study population

Coronavirus disease (COVID-19) cases with a WGS-confirmed BA.1, BA.2 or Delta SARS-CoV-2 variant infection (including their respective sub-lineages), notified to the German national surveillance system between 1 November 2021 and 15 April 2022 were analysed as a retrospective cohort. Data were extracted on 29 April 2022, allowing for a reporting delay of 14 days of an eventual hospitalisation. A subset of cases with a notification date between 1 November 2021 and 1 April 2022 was used to analyse deaths, allowing a follow-up time of 28 days. Figure 1 shows the distribution of cases by variant and the sharp increase in total COVID-19 cases in Germany beginning in week 02 2022.
Figure 1

SARS-CoV-2 variants Delta, BA.1 and BA.2’s weekly distributiona and number of notified COVID-19 cases, Germany, 1 November 2021–15 April 2022 (n = 238,107)

SARS-CoV-2 variants Delta, BA.1 and BA.2’s weekly distributiona and number of notified COVID-19 cases, Germany, 1 November 2021–15 April 2022 (n = 238,107) COVID-19: coronavirus disease; SARS-CoV-2: severe acute respiratory coronavirus 2. a The distribution is according to the whole genome sequencing result of samples randomly selected from the pool of all SARS-CoV-2 positive samples. For the hospitalisation dataset, cases were excluded if hospitalisation, vaccination status (Supplementary Figure S1) or information for any adjustment variables was missing. Cases were also excluded if they had a prior SARS-CoV-2 infection reported. Of initially 238,107 COVID-19 cases linked to WGS, 47,160 cases were included in the analysis. The characteristics of the hospitalised study population are listed in Table 1. The selection of a subset of cases suitable for investigating odds of death relative to different SARS-CoV-2-variant infections is described in Supplementary Figure S1. The demographical features, vaccination status and outcome of cases in this subset are displayed according to each variant infection in Supplementary Table S1.
Table 1

Characteristics of COVID-19 cases included in the retrospective cohort to study odds of hospitalisation and severe disease, according to infection with Delta, Omicron BA.1 and BA.2 SARS-CoV-2 variants, Germany, 1 November 2021–15 April 2022 (n = 47,160)

CharacteristicDelta (B.1.617.2)(incl. sub-lineages)Omicron (B.1.1.529)Total
BA.1(incl. sub-lineages)BA.2(incl. sub-lineages)
Number%Number%Number%Number%
Total 24,53052.015,77033.46,86014.547,160100.0
Sexa
Female12,40150.68,13751.63,69553.924,23351.4
Male12,12949.47,63348.43,16546.122,92748.6
Age group (years)
0–46732.74833.11852.71,3412.8
5–144,55718.62,25514.379211.57,60416.1
15–346,19025.25,72236.32,43435.514,34630.4
35–598,80735.95,53935.12,40635.116,75235.5
60–793,11312.71,2387.972810.65,07910.8
≥ 801,1904.95333.43154.62,0384.3
Hospitalisation
Yes2,0438.34723.02033.02,7185.8
No22,48791.715,29897.06,65797.044,44294.2
ICU-treatmentb
Yes4031.7430.3190.34651.0
No24,01398.315,69199.76,82799.746,53199.0
Vaccination status
Unvaccinated14,04857.35,33033.81,89727.721,27545.1
Vaccinated9,95040.66,26939.81,55422.717,77337.7
Booster vaccinated5322.24,17126.43,40949.78,11217.2

COVID-19: coronavirus disease; ICU: intensive care unit; SARS-CoV-2: severe acute respiratory coronavirus 2.

a Cases with sex recorded as ‘diverse’ were excluded due to the low sample size (n = 20) as were cases with sex unknown (n = 486).

b 114 cases with Delta, 36 with BA.1 and 14 with BA.2 infection had information missing as to whether they were treated or not in ICU.

COVID-19: coronavirus disease; ICU: intensive care unit; SARS-CoV-2: severe acute respiratory coronavirus 2. a Cases with sex recorded as ‘diverse’ were excluded due to the low sample size (n = 20) as were cases with sex unknown (n = 486). b 114 cases with Delta, 36 with BA.1 and 14 with BA.2 infection had information missing as to whether they were treated or not in ICU. Due to the high number of missing values, in particular for hospitalisation or vaccination status, 191,947 cases (80% of 238,107 cases linked to WGS data) were omitted from the final study population for hospitalisation (Supplementary Figure S1). A comparison of the adjustment variables shows a similar distribution for included cases as for the overall population (Supplementary Table S4). However, the distribution of BA.1, BA.2 and Delta VOCs was different between the two populations.

Hospitalisation

The percentage of hospitalisations following an infection with Delta (8.3%) seemed almost threefold higher than with BA.1 and BA.2 (both 3.0%, Table 1). This effect was particularly evident in the age groups 35 years and above, where the proportion of hospitalisations appeared to be nearly three times higher for Delta infections (13.6%; 1,811/13,310) than for BA.1 (5.0%; 362/7,310) or BA.2 (4.8%; 165/3,449) infections. In contrast, for children < 15 years old there did not seem to be any difference between Delta (1.5%; 77/5,230) and BA.1 (1.5%; 40/2,738) or BA.2 (1.4%; 14/977) infections in terms of frequency of hospitalisation (Table 2).
Table 2

Odds ratios of hospitalisation, ICU admission and death after infection with SARS-CoV-2 Omicron BA.1 or BA.2 variants compared with Delta, overall and according to age group or vaccination status, Germany, 1 November 2021–15 April 2022 (n = 47,160)

OutcomeDeltaOmicron BA.1Omicron BA.2BA.1 vs DeltaBA.2 vs Delta
n/N%n/N%n/N%Adjusted ORa,b (95% CI)Adjusted ORa,b (95% CI)
Hospitalisation 2,043/24,5308.3472/15,7703.0203/6,8603.00.35 (0.29–0.43)***0.30 (0.22–0.40)***
ICU admissionc 403/24,4161.743/15,7340.319/6,8460.30.20 (0.12–0.32)***0.17 (0.07–0.39)***
Deathsd 545/31,7201.796/20,8180.526/7,1430.40.38 (0.25–0.58)***0.16 (0.08–0.30)***
Subgroup analysis for hospitalisationb
Age group (years)
0–436/6735.321/4834.310/1855.40.58 (0.25–1.33)0.74 (0.24–2.25)
5–1441/4,5570.919/2,2550.84/7920.50.72 (0.31–1.64)0.43 (0.09–2.00)
15–34155/6,1902.570/5,7221.224/2,4341.00.50 (0.31–0.80)***0.43 (0.21–0.91)*
35–59556/8,8076.386/5,5391.631/2,4061.30.23 (0.15–0.35)***0.20 (0.10–0.38)***
60–79685/3,11322.0128/1,23810.355/7287.60.38 (0.25–0.56)***0.27 (0.15–0.49)***
≥ 80570/1,19047.9148/53327.879/31525.10.33 (0.21–0.52)***0.29 (0.16–0.53)***
Vaccination status
Unvaccinated1,275/14,0489.1228/5,3304.390/1,8974.70.34 (0.25–0.47)***0.28 (0.18–0.45)***
Vaccinated691/9,9506.9126/6,2692.032/1,5542.10.39 (0.28–0.55)***0.32 (0.17–0.59)***
Booster vaccinated77/53214.5118/4,1712.881/3,4092.40.30 (0.19–0.50)***0.27 (0.15–0.49)***

CI: confidence interval; COVID-19: coronavirus disease; ICU: intensive care unit; NA: not applicable; OR: odds ratio; SARS-CoV-2: severe acute respiratory coronavirus 2.

For hospitalisation overall, ICU admission and death, the ORs were adjusted for age group, vaccination status, sex, federal state of notifying health authority and week of notification.

For the hospitalisation sub-analyses the ORs were adjusted for sex, federal state of notifying health authority, week of notification and vaccination status or age group, respectively

c The study population contains 164 less cases than that for hospitalisation due to missing values in the variable ICU admission.

d This study population consists of COVID-19 cases notified between 1 November 2021 and 1 April 2022 (n = 59,681 cases), see Supplementary Figure S1 and Table S1.

*p value: p < 0.05: *, p < 0.01: **, p < 0.001: ***

CI: confidence interval; COVID-19: coronavirus disease; ICU: intensive care unit; NA: not applicable; OR: odds ratio; SARS-CoV-2: severe acute respiratory coronavirus 2. For hospitalisation overall, ICU admission and death, the ORs were adjusted for age group, vaccination status, sex, federal state of notifying health authority and week of notification. For the hospitalisation sub-analyses the ORs were adjusted for sex, federal state of notifying health authority, week of notification and vaccination status or age group, respectively c The study population contains 164 less cases than that for hospitalisation due to missing values in the variable ICU admission. d This study population consists of COVID-19 cases notified between 1 November 2021 and 1 April 2022 (n = 59,681 cases), see Supplementary Figure S1 and Table S1. *p value: p < 0.05: *, p < 0.01: **, p < 0.001: *** To estimate the odds for a variant-specific hospitalisation, a multivariable logistic regression model was used, adjusting for age group, vaccination status, sex, federal state of notifying health authority and calendar week of notification. Similar reduced adjusted odds ratios (adjOR) of hospitalisation were obtained when considering BA.1 and BA.2 Omicron variant infections compared with a Delta variant infection (adjOR BA.1: 0.35; 95% CI: 0.29–0.43 and adjOR BA.2: 0.30; 95% CI: 0.22–0.40) (Table 2). Stratification for age showed, that younger age groups (0–14-year-olds) had no significant difference in hospitalisation depending on the variant, but a strong effect was observed in age groups 35 years and above with the odds of hospitalisation reduced up to 80% for BA.1 and BA.2 (Figure 2 and Table 2). When stratifying by vaccination status, the proportions of hospitalisations for (booster-) vaccinated cases compared with unvaccinated cases appeared to be reduced (for BA.1: 2.3% hospitalisations (244/10,440) among (booster-) vaccinated cases vs 4.3% among unvaccinated; for BA.2: 2.3% (113/4,963) hospitalisations among (booster-) vaccinated cases vs 4.7% among unvaccinated; for Delta: 7.3% (768/10,482) hospitalisations among (booster-) vaccinated cases vs 9.1% among unvaccinated cases). Moreover, for all vaccination statuses, a significant decrease was observed for the odds of being hospitalised after BA.1 or BA.2 infection compared with Delta (Figure 2 and Table 2). Additionally, when the timing of the last vaccination (< 90 days, 90 to 180 days, > 180 days) was considered (Supplementary Figure S2), ORs for hospitalisations remained similar to those in Figure 2. Stratification by age and vaccination status (Supplementary Table S5) showed comparable results, but with wider confidence intervals and not for all age groups because of small group sizes for (booster-) vaccinated children and (booster-) vaccinated Delta cases.
Figure 2

Odds ratios of hospitalisation after infection with SARS-CoV-2 Omicron BA.1 or BA.2 variants compared with Delta according to age group or vaccination status, Germany, 1 November 2021–15 April 2022 (n = 47,160)

Odds ratios of hospitalisation after infection with SARS-CoV-2 Omicron BA.1 or BA.2 variants compared with Delta according to age group or vaccination status, Germany, 1 November 2021–15 April 2022 (n = 47,160) CI: confidence interval; SARS-CoV-2: severe acute coronavirus 2. Error bars show the 95% CIs, cut at 1.6 for age groups (in years), to increase comparability. The full 95% CIs are shown in Table 2; p-value: p < 0.05: *, p < 0.01: **, p < 0.001: ***

Intensive care unit admission

Using the same covariates in the logistic regression model as for hospitalisation, the odds of a COVID-19 case to be admitted to ICU were estimated to be reduced by more than 80% for both BA.1 and BA.2 compared with Delta (adjOR BA.1: 0.20 (95% CI: 0.12–0.32); adjOR BA.2: 0.17 (95% CI: 0.07–0.39)).

Reported deaths

In the total study population selected for the analysis of deaths as outcome (n = 59,681), 667 deaths (1.1%) were recorded, of which 96 (0.5%) occurred among 20,818 cases infected with BA.1 and 26 (0.4%) among 7,143 with BA.2. Using the same covariates in the logistic regression model as for hospitalisation, the analysis showed reduced odds for dying upon an infection with BA.1 or BA.2 compared with Delta (adjOR BA.1: 0.38 (95% CI: 0.25–0.58); adjOR BA.2: 0.16 (95% CI: 0.08–0.3)) (Table 2). Details on the study population are depicted in Supplementary Table S1.

Discussion

In this study, we found that the odds of hospitalisation following a BA.1 or BA.2 Omicron variant infection was up to 80% lower than following a Delta variant infection, particularly in adults ≥ 35 years old. Both BA.1 and BA.2 had a similar effect on hospitalisation or ICU admission, suggesting that despite reports of increased transmissibility for BA.2 [4], this variant does not differ from BA.1 in pathogenicity. In support of our results, no clinical differences were found between individuals infected with BA.1 and BA.2 in Denmark [12], a country with similar demographics as Germany and a high vaccination coverage in older people – the vaccination rate among the age group above 60 years in Germany is > 90% [13]. In a different setting presented by South Africa, which has a younger population (91% of the population is <60 years old there [14], as opposed to 71% in Germany [15]) and where immunity to SARS-CoV-2 is more owed to previous infections, the clinical profile of illness due to BA.1 and BA.2 was also more or less the same [11]. The overall odds ratio of 0.33 for hospitalisation for BA.1 in our study was moreover similar to hazard, risk or odds ratios reported by other authors, ranging between 0.2 and 0.65 [6,8-10,16]. Our analysis indicates that the reduction in disease severity observed with BA.1 and BA.2 variant infections compared to Delta might be age dependent. The reduction compared with Delta was evident in older age groups but not in children (0–14 years-olds), who generally have a low risk for COVID-19 related-hospitalisation [17]. As previously observed within the German surveillance data on COVID-19 and elsewhere, the strongest association with hospitalisation is age, especially in age groups above 60 years [18]. Unlike in South Africa, we did not observe an increase in hospitalisations in children under 5 years of age with Omicron infection. However, the lack of reduction in hospitalisations in South Africa for 5−12-year-olds infected with Omicron relative to Delta is consistent with our results and what has been observed in England [6,8]. Our data might, however, be biased towards overestimation of the chance of hospitalisation for children, as we did not differentiate for ‘hospitalisation because of COVID-19’ and ‘hospitalisation with COVID-19’. Beginning with week 03 2022, COVID-19 incidences were highest among children aged 5–14 years [13], coinciding with the peak of BA.1 cases. Thus, it is likely that children have been increasingly hospitalised ‘with’ COVID-19, resulting in an underestimation of a reduction in hospitalisation related to Omicron infection compared to Delta infection. (Booster-) vaccination reduces the proportion of hospitalised cases and for all groups (unvaccinated and (booster-) vaccinated cases) the chance of being hospitalised is reduced for BA.1 and BA.2 cases compared with Delta cases. This seems independent of how long ago the last vaccination took place, suggesting that both Omicron variants show an intrinsic reduction in their pathogenicity. To minimise underestimation on the risk of hospitalisation due to the effect of prior infections, which have been shown to have a protective effect [8], we excluded cases notified as re-infected from our analysis. Although, this does not correct for the inclusion of cases with unknown/unnotified prior infection, in Germany, seroprevalence and under-reporting of cases were low until August 2021 [19]. Underestimation of BA.1 severity due to inclusion of unknown prior infections with Delta is therefore estimated to be small. With increased incidence of COVID-19 cases starting in the beginning of 2022 and strained testing capacity, under-ascertainment of BA.1 cases may have led to underestimation of hospitalisation due to BA.2 infection. However, all vaccination groups are equally affected by under-reporting, and other reports have shown minimal effects of under-reporting of prior infections on the risk of hospitalisation [8]. With the strong increase in COVID-19 cases, health authorities increasingly prioritised the data entry on selected variables, especially hospitalisation, depending on the federal state. Since July 2021, additional notification requirements for hospitalised patients have been implemented and for those cases, vaccination status is systematically collected, while cases with only laboratory confirmation require active investigation of the vaccination status by local health authorities. Thus, hospitalised cases more often have complete information of the vaccination status, leading the current study population to seemingly have more hospitalised cases over time and in certain federal states (since cases with unknown vaccination status are excluded, Supplementary Table S2). While the distribution of cases for the descriptive variables was similar in the final study population compared with the overall population, the differences for the proportion of Delta, BA.1 and BA.2 cases could be an indirect result of the observed reduced severity for Omicron. As the final study population is biased on the inclusion of hospitalised cases (see above) and Omicron leads to a reduction in hospitalisation, its proportions are lower in the final study population. Additionally, to assess the bias due to more complete data entry at the beginning of the occurrence of a new VOC, here BA.1 in November 2021, we analysed a WGS-dataset of specimens which were randomly selected for sequencing from the pool of all SARS-CoV-2 positive samples. All results were consistent with those from the complete dataset (Supplementary Table S3).

Conclusion

Overall, people infected with Omicron variants BA.1 and BA.2 are similarly less likely to progress to hospitalisation compared with those infected with Delta. This effect is particularly evident in adults (≥ 35 years old) as well as in both unvaccinated and (booster-) vaccinated cases (for all age groups).
  11 in total

1.  Virological characteristics of the SARS-CoV-2 Omicron BA.2 spike.

Authors:  Daichi Yamasoba; Izumi Kimura; Hesham Nasser; Yuhei Morioka; Naganori Nao; Jumpei Ito; Keiya Uriu; Masumi Tsuda; Jiri Zahradnik; Kotaro Shirakawa; Rigel Suzuki; Mai Kishimoto; Yusuke Kosugi; Kouji Kobiyama; Teppei Hara; Mako Toyoda; Yuri L Tanaka; Erika P Butlertanaka; Ryo Shimizu; Hayato Ito; Lei Wang; Yoshitaka Oda; Yasuko Orba; Michihito Sasaki; Kayoko Nagata; Kumiko Yoshimatsu; Hiroyuki Asakura; Mami Nagashima; Kenji Sadamasu; Kazuhisa Yoshimura; Jin Kuramochi; Motoaki Seki; Ryoji Fujiki; Atsushi Kaneda; Tadanaga Shimada; Taka-Aki Nakada; Seiichiro Sakao; Takuji Suzuki; Takamasa Ueno; Akifumi Takaori-Kondo; Ken J Ishii; Gideon Schreiber; Hirofumi Sawa; Akatsuki Saito; Takashi Irie; Shinya Tanaka; Keita Matsuno; Takasuke Fukuhara; Terumasa Ikeda; Kei Sato
Journal:  Cell       Date:  2022-05-02       Impact factor: 66.850

2.  Reduced risk of hospitalisation among reported COVID-19 cases infected with the SARS-CoV-2 Omicron BA.1 variant compared with the Delta variant, Norway, December 2021 to January 2022.

Authors:  Lamprini Veneti; Håkon Bøås; Anja Bråthen Kristoffersen; Jeanette Stålcrantz; Karoline Bragstad; Olav Hungnes; Margrethe Larsdatter Storm; Nina Aasand; Gunnar Rø; Jostein Starrfelt; Elina Seppälä; Reidar Kvåle; Line Vold; Karin Nygård; Eirik Alnes Buanes; Robert Whittaker
Journal:  Euro Surveill       Date:  2022-01

3.  Relative Reproduction Number of SARS-CoV-2 Omicron (B.1.1.529) Compared with Delta Variant in South Africa.

Authors:  Hiroshi Nishiura; Kimihito Ito; Asami Anzai; Tetsuro Kobayashi; Chayada Piantham; Alfonso J Rodríguez-Morales
Journal:  J Clin Med       Date:  2021-12-23       Impact factor: 4.241

4.  Comparative analysis of the risks of hospitalisation and death associated with SARS-CoV-2 omicron (B.1.1.529) and delta (B.1.617.2) variants in England: a cohort study.

Authors:  Tommy Nyberg; Neil M Ferguson; Sophie G Nash; Harriet H Webster; Seth Flaxman; Nick Andrews; Wes Hinsley; Jamie Lopez Bernal; Meaghan Kall; Samir Bhatt; Paula Blomquist; Asad Zaidi; Erik Volz; Nurin Abdul Aziz; Katie Harman; Sebastian Funk; Sam Abbott; Russell Hope; Andre Charlett; Meera Chand; Azra C Ghani; Shaun R Seaman; Gavin Dabrera; Daniela De Angelis; Anne M Presanis; Simon Thelwall
Journal:  Lancet       Date:  2022-03-16       Impact factor: 202.731

5.  Increased risk of SARS-CoV-2 reinfection associated with emergence of Omicron in South Africa.

Authors:  Juliet R C Pulliam; Cari van Schalkwyk; Nevashan Govender; Anne von Gottberg; Cheryl Cohen; Michelle J Groome; Jonathan Dushoff; Koleka Mlisana; Harry Moultrie
Journal:  Science       Date:  2022-05-06       Impact factor: 63.714

6.  Trends in Disease Severity and Health Care Utilization During the Early Omicron Variant Period Compared with Previous SARS-CoV-2 High Transmission Periods - United States, December 2020-January 2022.

Authors:  A Danielle Iuliano; Joan M Brunkard; Tegan K Boehmer; Elisha Peterson; Stacey Adjei; Alison M Binder; Stacy Cobb; Philip Graff; Pauline Hidalgo; Mark J Panaggio; Jeanette J Rainey; Preetika Rao; Karl Soetebier; Susan Wacaster; ChinEn Ai; Vikas Gupta; Noelle-Angelique M Molinari; Matthew D Ritchey
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2022-01-28       Impact factor: 35.301

7.  Early assessment of the clinical severity of the SARS-CoV-2 omicron variant in South Africa: a data linkage study.

Authors:  Nicole Wolter; Waasila Jassat; Sibongile Walaza; Richard Welch; Harry Moultrie; Michelle Groome; Daniel Gyamfi Amoako; Josie Everatt; Jinal N Bhiman; Cathrine Scheepers; Naume Tebeila; Nicola Chiwandire; Mignon du Plessis; Nevashan Govender; Arshad Ismail; Allison Glass; Koleka Mlisana; Wendy Stevens; Florette K Treurnicht; Zinhle Makatini; Nei-Yuan Hsiao; Raveen Parboosing; Jeannette Wadula; Hannah Hussey; Mary-Ann Davies; Andrew Boulle; Anne von Gottberg; Cheryl Cohen
Journal:  Lancet       Date:  2022-01-19       Impact factor: 202.731

8.  Molecular epidemiology of the SARS-CoV-2 variant Omicron BA.2 sub-lineage in Denmark, 29 November 2021 to 2 January 2022.

Authors:  Jannik Fonager; Marc Bennedbæk; Peter Bager; Jan Wohlfahrt; Kirsten Maren Ellegaard; Anna Cäcilia Ingham; Sofie Marie Edslev; Marc Stegger; Raphael Niklaus Sieber; Ria Lassauniere; Anders Fomsgaard; Troels Lillebaek; Christina Wiid Svarrer; Frederik Trier Møller; Camilla Holten Møller; Rebecca Legarth; Thomas Vognbjerg Sydenham; Kat Steinke; Sarah Juel Paulsen; José Alfredo Samaniego Castruita; Uffe Vest Schneider; Christian Højte Schouw; Xiaohui Chen Nielsen; Maria Overvad; Rikke Thoft Nielsen; Rasmus L Marvig; Martin Schou Pedersen; Lene Nielsen; Line Lynge Nilsson; Jonas Bybjerg-Grauholm; Irene Harder Tarpgaard; Tine Snejbjerg Ebsen; Janni Uyen Hoa Lam; Vithiagaran Gunalan; Morten Rasmussen
Journal:  Euro Surveill       Date:  2022-03

9.  Rapid epidemic expansion of the SARS-CoV-2 Omicron variant in southern Africa.

Authors:  Raquel Viana; Sikhulile Moyo; Daniel G Amoako; Houriiyah Tegally; Cathrine Scheepers; Christian L Althaus; Ugochukwu J Anyaneji; Phillip A Bester; Maciej F Boni; Mohammed Chand; Wonderful T Choga; Rachel Colquhoun; Michaela Davids; Koen Deforche; Deelan Doolabh; Louis du Plessis; Susan Engelbrecht; Josie Everatt; Jennifer Giandhari; Marta Giovanetti; Diana Hardie; Verity Hill; Nei-Yuan Hsiao; Arash Iranzadeh; Arshad Ismail; Charity Joseph; Rageema Joseph; Legodile Koopile; Sergei L Kosakovsky Pond; Moritz U G Kraemer; Lesego Kuate-Lere; Oluwakemi Laguda-Akingba; Onalethatha Lesetedi-Mafoko; Richard J Lessells; Shahin Lockman; Alexander G Lucaci; Arisha Maharaj; Boitshoko Mahlangu; Tongai Maponga; Kamela Mahlakwane; Zinhle Makatini; Gert Marais; Dorcas Maruapula; Kereng Masupu; Mogomotsi Matshaba; Simnikiwe Mayaphi; Nokuzola Mbhele; Mpaphi B Mbulawa; Adriano Mendes; Koleka Mlisana; Anele Mnguni; Thabo Mohale; Monika Moir; Kgomotso Moruisi; Mosepele Mosepele; Gerald Motsatsi; Modisa S Motswaledi; Thongbotho Mphoyakgosi; Nokukhanya Msomi; Peter N Mwangi; Yeshnee Naidoo; Noxolo Ntuli; Martin Nyaga; Lucier Olubayo; Sureshnee Pillay; Botshelo Radibe; Yajna Ramphal; Upasana Ramphal; James E San; Lesley Scott; Roger Shapiro; Lavanya Singh; Pamela Smith-Lawrence; Wendy Stevens; Amy Strydom; Kathleen Subramoney; Naume Tebeila; Derek Tshiabuila; Joseph Tsui; Stephanie van Wyk; Steven Weaver; Constantinos K Wibmer; Eduan Wilkinson; Nicole Wolter; Alexander E Zarebski; Boitumelo Zuze; Dominique Goedhals; Wolfgang Preiser; Florette Treurnicht; Marietje Venter; Carolyn Williamson; Oliver G Pybus; Jinal Bhiman; Allison Glass; Darren P Martin; Andrew Rambaut; Simani Gaseitsiwe; Anne von Gottberg; Tulio de Oliveira
Journal:  Nature       Date:  2022-01-07       Impact factor: 49.962

10.  [The different periods of COVID-19 in Germany: a descriptive analysis from January 2020 to February 2021].

Authors:  Julia Schilling; Kristin Tolksdorf; Adine Marquis; Mirko Faber; Thomas Pfoch; Silke Buda; Walter Haas; Ekkehard Schuler; Doris Altmann; Ulrike Grote; Michaela Diercke
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2021-08-10       Impact factor: 1.513

View more
  4 in total

Review 1.  Omicron BA.2 Lineage, the "Stealth" Variant: Is It Truly a Silent Epidemic? A Literature Review.

Authors:  Giorgio Tiecco; Samuele Storti; Stefania Arsuffi; Melania Degli Antoni; Emanuele Focà; Francesco Castelli; Eugenia Quiros-Roldan
Journal:  Int J Mol Sci       Date:  2022-06-30       Impact factor: 6.208

2.  Differences in Clinical Presentations of Omicron Infections with the Lineages BA.2 and BA.5 in Mecklenburg-Western Pomerania, Germany, between April and July 2022.

Authors:  Katja Verena Goller; Juliane Moritz; Janine Ziemann; Christian Kohler; Karsten Becker; Nils-Olaf Hübner
Journal:  Viruses       Date:  2022-09-13       Impact factor: 5.818

3.  Clinical severity of SARS-CoV-2 Omicron BA.4 and BA.5 lineages compared to BA.1 and Delta in South Africa.

Authors:  Anne von Gottberg; Cheryl Cohen; Nicole Wolter; Waasila Jassat; Sibongile Walaza; Richard Welch; Harry Moultrie; Michelle J Groome; Daniel Gyamfi Amoako; Josie Everatt; Jinal N Bhiman; Cathrine Scheepers; Naume Tebeila; Nicola Chiwandire; Mignon du Plessis; Nevashan Govender; Arshad Ismail; Allison Glass; Koleka Mlisana; Wendy Stevens; Florette K Treurnicht; Kathleen Subramoney; Zinhle Makatini; Nei-Yuan Hsiao; Raveen Parboosing; Jeannette Wadula; Hannah Hussey; Mary-Ann Davies; Andrew Boulle
Journal:  Nat Commun       Date:  2022-10-04       Impact factor: 17.694

4.  Assessing the Impact of SARS-CoV-2 Lineages and Mutations on Patient Survival.

Authors:  Carlos Loucera; Javier Perez-Florido; Carlos S Casimiro-Soriguer; Francisco M Ortuño; Rosario Carmona; Gerrit Bostelmann; L Javier Martínez-González; Dolores Muñoyerro-Muñiz; Román Villegas; Jesus Rodriguez-Baño; Manuel Romero-Gomez; Nicola Lorusso; Javier Garcia-León; Jose M Navarro-Marí; Pedro Camacho-Martinez; Laura Merino-Diaz; Adolfo de Salazar; Laura Viñuela; Jose A Lepe; Federico Garcia; Joaquin Dopazo
Journal:  Viruses       Date:  2022-08-27       Impact factor: 5.818

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.