Marine Maurel

and 38 more

Influenza A(H3N2) viruses dominated early in the 2022–23 influenza season in Europe, followed by higher circulation of influenza A(H1N1)pdm09 and B viruses. The VEBIS primary care network estimated the influenza vaccine effectiveness (VE) using a multicentre test-negative study. Primary care practitioners collected information and specimens from patients consulting with acute respiratory infection. We measured VE against any influenza, influenza (sub)type and clade, by age group, by influenza vaccine target group and by time since vaccination, using logistic regression. We included 38,058 patients, of which 3,786 were influenza A(H3N2), 1,548 influenza A(H1N1)pdm09 and 3,275 influenza B cases. Against influenza A(H3N2), VE was 36% (95%CI: 25–45) among all ages, ranged between 30% and 52% by age group and target group. VE against influenza A(H3N2) clade 2b was 38% (95% CI: 25–49). Overall, VE against influenza A(H1N1)pdm09 was 46% (95%CI: 35–56) and ranged between 29% and 59% by age group and target group. VE against influenza A(H1N1)pdm09 clade 5a.2a was 56% (95% CI: 46–65) and 79% (95% CI: 64–88) against clade 5a.2a.1. VE against influenza B was 76% (95%CI: 70–81), overall; 84%, 72% and 71% among 0–14-year-olds 15–64-year-olds and those in the influenza vaccination target group, respectively. VE against influenza B with a position 197-mutation of the hemagglutinin (HA) gene was 79% (95% CI: 73–85) and 90% (95% CI: 85–94) without this mutation. The 2022–23 end-of-season results from the VEBIS network at primary care level showed high VE among children and against influenza B, with lower VE against influenza A(H1N1)pdm09 and A(H3N2).

Ana Rita Torres

and 11 more

Background Severe Acute Respiratory Infections (SARI) surveillance is recommended to assess severity of respiratory infections disease. In 2021, the National Institute of Health Doutor Ricardo Jorge, in collaboration with two central hospitals, implemented a SARI sentinel surveillance system based on electronic health registries. We describe its application in the 2021/2022 season and compare the evolution of SARI cases with the COVID-19 and influenza activity in two regions of Portugal. Methods We identified SARI cases based on ICD-10 codes for influenza-like illness, cardiovascular diagnosis, respiratory diagnosis and respiratory infection. Pearson correlation and cross-correlations between weekly SARI cases, weekly COVID-19 cases and the number of weekly positive samples for influenza were estimated. Results A high correlation between SARI cases or hospitalizations due to respiratory infection and COVID-19 incidence was obtained (ρ = 0.78 and ρ = 0.82, respectively). Weekly SARI hospitalizations detected the COVID-19 epidemic peak a week earlier. A weak correlation was observed between SARI cases and the number of positive samples for influenza (ρ = -0.20). However, if restricted to hospitalizations due to cardiovascular diagnosis, a moderate correlation was observed (ρ = 0.37). Moreover, hospitalizations due to cardiovascular diagnosis detected the increase of influenza epidemic activity a week earlier. Conclusion In the 2021/2022 season, the Portuguese SARI sentinel surveillance system pilot was able to early detect the 5th COVID-19 epidemic wave and the increase of influenza activity. Establishing complementary virological inpatient surveillance is vital to aid in understanding the relationship between respiratory virus epidemics and disease severity.