Anna Sominina

Prof. Anna Sominina


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 May 2019 in BMC Public Health
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F(for the Global Influenza Hospital Surveillance Network (GIHSN)
for the Global Influenza Hospital Surveillance Network (GIHSN)
VBVíctor Baselga-Moreno
Víctor Baselga-Moreno
STSvetlana Trushakova
Svetlana Trushakova
SMShelly McNeil
Shelly McNeil
ASAnna Sominina
Anna Sominina
JDJAVIER DIEZ DOMINGO
JAVIER DIEZ DOMINGO
The Global Influenza Hospital Surveillance Network (GIHSN) aims to determine the burden of severe influenza disease and Influenza Vaccine Effectiveness (IVE). This is a prospective, active surveillance and hospital-based epidemiological study to collect epidemiological data in the GIHSN. In the 2016–2017 influenza season, 15 sites in 14 countries participated in the GIHSN, although the analyses could not be performed in 2 sites. A common core protocol was used in order to make results comparable. Here we present the results of the GIHSN 2016–2017 influenza season. A RT-PCR test was performed to all patients that accomplished the requirements detailed on a common core protocol. Patients admitted were included in the study after signing the informed consent, if they were residents, not institutionalised, not discharged in the previous 30 days from other hospitalisation with symptoms onset within the 7 days prior to admission. Patients 5 years old or more must also complied the Influenza-Like Illness definition. A test negative-design was implemented to perform IVE analysis. IVE was estimated using a logistic regression model, with the formula IVE = (1-aOR) × 100, where aOR is the adjusted Odds Ratio comparing cases and controls. Among 21,967 screened patients, 10,140 (46.16%) were included, as they accomplished the inclusion criteria, and tested, and therefore 11,827 (53.84%) patients were excluded. Around 60% of all patients included with laboratory results were recruited at 3 sites. The predominant strain was A(H3N2), detected in 63.6% of the cases (1840 patients), followed by B/Victoria, in 21.3% of the cases (618 patients). There were 2895 influenza positive patients (28.6% of the included patients). A(H1N1)pdm09 strain was mainly found in Mexico. IVE could only be performed in 6 sites separately. Overall IVE was 27.24 (95% CI 15.62–37.27. Vaccination seemed to confer better protection against influenza B and in people 2–4 years, or 85 years old or older. The aOR for hospitalized and testing positive for influenza was 3.02 (95% CI 1.59–5.76) comparing pregnant with non-pregnant women. Vaccination prevented around 1 in 4 hospitalisations with influenza. Sparse numbers didn’t allow estimating IVE in all sites separately. Pregnancy was found a risk factor for influenza, having 3 times more risk of being admitted with influenza for pregnant women.

4 September 2021 in Epidemiology and Vaccinal Prevention
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ASAnna Sominina
Anna Sominina
DDDaria Danilenko
Daria Danilenko
KSK. A. Stolyarov
K. A. Stolyarov
LKL. S. Karpova
L. S. Karpova
MBM. I. Bakaev
M. I. Bakaev
DLDmitry Lioznov
Dmitry Lioznov
Background. Integrative epidemiological and etiological analysis of peculiarities of the development of the COVID-19 pandemic in different countries of the world is of significant scientific and practical interest in order to improve the preparedness of medical and social services during the upcoming pandemics. The purpose of the research. To determine the features of the epidemic process caused by a new coronavirus infection COVID-19, in all the diversity of its interaction with influenza viruses and other ARVI agents in the Russian Federation.Materials and methods. The studies were performed in the system of routine influenza surveillance by the Federal Center for Influenza and ARI at the Smorodintsev Research Institute of Influenza and the Center for Ecology and Epidemiology of Influenza at the National Center for Epidemiology and Microbiology named after N.F. Gamaleya, in cooperation with Regional Collaborating Base Laboratories in accordance with the Order of the Federal Service for Consumer Rights Protection Surveillance and Human Well-being No. 373 of March 31, 2005. Information on morbidity and hospitalization was provided by the erritorial Departments of Rospotrebnadzor. Information on the results of PCR detection of influenza and ARVI viruses, including SARS-CoV-2, was received from the «enters for Hygiene and Epidemiology" and was entered on-line into the electronic database of the Smorodintsev Research Institute of Influenza of the Ministry of Health of Russia. «AmpliSens reagent kits produced by the Central Research Institute of Epidemiology were used for PCR detection and subtyping of influenza A and B viruses, to identify ARVI agents, for PCR diagnosis of COVID-19 the kits certified in the Russian Federation of various producers were used.Results. It has been established that the annual epidemics of influenza, as well as the development of the second wave of the COVID- 19 pandemic in the season 2020–2021 was preceded pronounced increase of incidence rate (55.0 - 67.9 per 10,000), associated with rhinoviruses activity, starting from the week 38 to week 43. 2020, which reached on the peak 23–29.0% of patients examined. The increase of COVID-19 activity in the fall of 2020 began from week 41 with the peak (26.6–31.3%) of detection in the period from the week 47.2020 to week 4. 2021. The duration and severity of COVID-19 diseases, requiring hospitalization, distinguished the SARS-CoV-2 pandemic from influenza epidemics/pandemics. Significant changes in the nature of the epidemic process were found in the analysis of the age structure of morbidity and hospitalization – their distinct decrease in children's age groups against the background of pronounced growth among patients of the age group 15–64 yrs and, especially, in elderly people ≥ 65 yrs. The incidence growth curves coincided in time with an increase in SARS-CoV-2 activity against the background of a decrease in the detection frequency of other ARVI pathogens, including influenza and RSV viruses, as a result of pronounced interference between pathogens. Interestingly, as the frequency of SARS-CoV-2 detection decreased to 15–19%, the activity of rhinoviruses, seasonal coronaviruses and metapneumoviruses began to increase again from 0.7–3.0% to 5.6–6.6%, which indicated the existence of a quantitative relationship between the interference indicators of SARS-CoV-2 with other ARI agents. It was most clearly manifested in relation to influenza and RSV viruses, which detection in general for the season dropped to 0.04% and 0.3% respectively.Conclusions. The phenomenon of interference of SARS-CoV-2 with other viral respiratory agents was established, based on the facts of a sharp suppression of the circulation of influenza viruses, respiratory syncytial virus and other ARVI pathogens during the period of active spread of the pandemic coronavirus. A distinctive feature of the SARS-CoV-2 pandemic, in comparison with influenza epidemics, was its long duration and the severity of the diseases caused by that virus. During the period of the pandemic, a clear decrease in the incidence and hospitalization among children was revealed, with their pronounced growth in adults and, especially, in older people ≥ 65 years old.

14 May 2019 in BMC Infectious Diseases
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ONon behalf of the Global Influenza Hospital Surveillance Network
on behalf of the Global Influenza Hospital Surveillance Network
Joan Puig-BarberaJoan Puig-Barbera
Joan Puig-Barbera
AMAinara Mira-Iglesias
Ainara Mira-Iglesias
EBElena Ivanovna Burtseva
Elena Ivanovna Burtseva
BCBenjamin Cowling
Benjamin Cowling
ASAnna Sominina
Anna Sominina
The Global Influenza Hospital Surveillance Network is an international platform whose primary objective is to study severe cases of influenza requiring hospitalization. During the 2015–2016 influenza season, 11 sites in the Global Influenza Hospital Surveillance Network in nine countries (Russian Federation, Czech Republic, Turkey, France, China, Spain, Mexico, India, and Brazil) participated in a prospective, active-surveillance, hospital-based epidemiological study. Influenza infection was confirmed by reverse transcription-polymerase chain reaction. Influenza vaccine effectiveness (IVE) against laboratory-confirmed influenza was estimated using a test-negative approach. 9882 patients with laboratory results were included of which 2415 (24.4%) were positive for influenza, including 1415 (14.3%) for A(H1N1)pdm09, 235 (2.4%) for A(H3N2), 180 (1.8%) for A not subtyped, 45 (0.5%) for B/Yamagata-lineage, 532 (5.4%) for B/Victoria-lineage, and 33 (0.3%) for B not subtyped. Of included admissions, 39% were < 5 years of age and 67% had no underlying conditions. The odds of being admitted with influenza were higher among pregnant than non-pregnant women (odds ratio, 2.82 [95% confidence interval (CI), 1.90 to 4.19]). Adjusted IVE against influenza-related hospitalization was 16.3% (95% CI, 0.4 to 29.7). Among patients targeted for influenza vaccination, adjusted IVE against hospital admission with influenza was 16.2% (95% CI, − 3.6 to 32.2) overall, 23.0% (95% CI, − 3.3 to 42.6) against A(H1N1)pdm09, and − 25.6% (95% CI, − 86.3 to 15.4) against B/Victoria lineage. The 2015–2016 influenza season was dominated by A(H1N1)pdm09 and B/Victoria-lineage. Hospitalization with influenza often occurred in healthy and young individuals, and pregnant women were at increased risk of influenza-related hospitalization. Influenza vaccines provided low to moderate protection against hospitalization with influenza and no protection against the predominant circulating B lineage, highlighting the need for more effective and broader influenza vaccines.

1 March 2013 in American Journal of Infectious Diseases
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ASAnna Sominina
Anna Sominina
EBElena Ivanovna Burtseva
Elena Ivanovna Burtseva
MEMikhail Eropkin
Mikhail Eropkin
LKLudmila Karpova
Ludmila Karpova
VZVladimir Zarubaev
Vladimir Zarubaev
NCNancy Cox
Nancy Cox
Exchange of information on and sharing of influenza viruses through the GISRS network has great significance for understanding influenza virus evolution, recognition of a new pandemic virus emergence and for preparing annual WHO recommendations on influenza vaccine strain composition. Influenza surveillance in Russia is based on collaboration of two NICs with 59 Regional Bases. Most epidemiological and laboratory data are entered through the internet into the electronic database at the Research Institute of Influenza (RII), where they are analyzed and then reported to the Ministry of Public Health of Russia. Simultaneously, data are introduced into WHO’s Flu Net and Euro Flu, both electronic databases. Annual influenza epidemics of moderate intensity were registered during four pre-pandemic seasons. Children aged 0-2 and 3-6 years were the most affected groups of the population. Influenza registered clinically among hospitalized patients with respiratory infections for the whole epidemic period varied between 1.3 and 5.4% and up but to 18.5-23.0% during the peak of the two pandemic waves caused by influenza A(H1N1) pdm 09 virus and to lesser extent (2.9 to 8.5%) during usual seasonal epidemics. Most epidemics were associated with influenza A(H1N1), A(H3N2) and B co-circulation. During the two pandemic waves (in 2009-2010 and 2010-2011) influenza A(H1N1) pdm 09 predominated. It was accompanied by a rapid growth of influenza morbidity with a significant increase of both hospitalization and mortality. The new pandemic virus displaced the previous seasonal A(H1N1) virus completely. As a rule, most of the influenza viruses circulating in Russia were antigenic ally related to the strains recommended by WHO for vaccine composition for the Northern hemisphere with the exception of two seasons when an unexpected replacement of the influenza B Victoria lineage by Yamagata lineage (2007-2008) and the following return of Victoria lineage viruses (2008-2009) was registered. Influenza surveillance in Russia was improved as a result of enhancing capacity to international standards and the introduction of new methods in NICs such as rRT-PCR diagnosis, regular testing of influenza viruses for susceptibility to antivirals, phylogenetic analysis as well as organization of sentinel surveillance in a number of Regional Base Laboratories. Improvements promoted rapid recognition of the appearance a new pandemic virus in the country and enhancement of confirmation tests in investigation of influenza related death cases.

21 August 2023 in Viruses
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ASAnna Sominina
Anna Sominina
DDDaria Danilenko
Daria Danilenko
AKAndrey Komissarov
Andrey Komissarov
MPMaria Pisareva
Maria Pisareva
AFArtem Fadeev
Artem Fadeev
DLDmitry Lioznov
Dmitry Lioznov
The COVID-19 pandemic had a profound impact on influenza activity worldwide. However, as the pandemic progressed, influenza activity resumed. Here, we describe the influenza epidemic of high intensity of the 2022–2023 season. The epidemic had an early start and peaked in week 51.2022. The extremely high intensity of the epidemic may have been due to a significant decrease in herd immunity. The results of PCR-testing of 220,067 clinical samples revealed that the influenza A(H1N1)pdm09 virus dominated, causing 56.4% of positive cases, while A(H3N2) influenza subtype accounted for only 0.6%, and influenza B of Victoria lineage—for 34.3%. The influenza vaccine was found to be highly effective, with an estimated effectiveness of 92.7% in preventing admission with laboratory-confirmed influenza severe acute respiratory illness (SARI) cases and 54.7% in preventing influenza-like illness/acute respiratory illness (ILI/ARI) cases due to antigenic matching of circulated viruses with influenza vaccine strains for the season. Full genome next-generation sequencing of 1723 influenza A(H1N1)pdm09 viruses showed that all of them fell within clade 6B.1A.5.a2; nine of them possessed H275Y substitution in the NA gene, a genetic marker of oseltamivir resistance. Influenza A(H3N2) viruses belonged to subclade 3C.2a1b.2a.2 with the genetic group 2b being dominant. All 433 influenza B viruses belonged to subclade V1A.3a.2 encoding HA1 substitutions A127T, P144L, and K203R, which could be further divided into two subgroups. None of the influenza A(H3N2) and B viruses sequenced had markers of resistance to NA inhibitors. Thus, despite the continuing circulation of Omicron descendant lineages, influenza activity has resumed in full force, raising concerns about the intensity of fore coming seasonal epidemics.

28 October 2021 in Journal of Epidemiology and Global Health
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ASAnna Sominina
Anna Sominina
DDDaria Danilenko
Daria Danilenko
AKAndrey Komissarov
Andrey Komissarov
MPMaria Pisareva
Maria Pisareva
TMTamila Musaeva
Tamila Musaeva
DLDmitry Lioznov
Dmitry Lioznov
The expansion and standardization of clinical trials, as well as the use of sensitive and specific molecular diagnostics methods, provide new information on the age-specific roles of influenza and other respiratory viruses in development of severe acute respiratory infections (SARI). Here, we present the results of the multicenter hospital-based study aimed to detect age-specific impact of influenza and other respiratory viruses (ORV). The 2018–2019 influenza season in Russia was characterized by co-circulation of influenza A(H1N1)pdm09 and A(H3N2) virus subtypes which were detected among hospitalized patients with SARI in 19.3% and 16.4%, respectively. RSV dominated among ORV (15.1% of total cases and 26.8% in infants aged ≤ 2 years). The most significant SARI agents in intensive care units were RSV and influenza A(H1N1)pdm09 virus, (37.3% and 25.4%, respectively, of PCR-positive cases). Hyperthermia was the most frequently registered symptom for influenza cases. In contrast, hypoxia, decreased blood O2 concentration, and dyspnea were registered more often in RSV, rhinovirus, and metapneumovirus infection in young children. Influenza vaccine effectiveness (IVE) against hospitalization of patients with PCR-confirmed influenza was evaluated using test-negative case–control design. IVE for children and adults was estimated to be 57.0% and 62.0%, respectively. Subtype specific IVE was higher against influenza A(H1N1)pdm09, compared to influenza A(H3N2) (60.3% and 45.8%, respectively). This correlates with delayed antigenic drift of the influenza A(H1N1)pdm09 virus and genetic heterogeneity of the influenza A(H3N2) population. These studies demonstrate the need to improve seasonal influenza prevention and control in all countries as states by the WHO Global Influenza Strategy for 2019–2030 initiative.