Eurosurveillance

Background Ecological surveillance indicates (regional) establishment of West Nile virus (WNV) and Usutu virus (USUV) in the Netherlands. However, the incidence of human infections remains unknown. Methods We identified WNV and USUV infections in the Netherlands in 2020-2023, using a longitudinal, nationwide population-based cohort, applying a two-tiered serology approach based on protein micro-array and virus neutralization. IgG data were used to estimate overall seroprevalence and infection incidence, and to study antibody longevity. Study set-up enabled tracking of the period of seroconversion and linking of self-reported travel history. The analyses took account of the survey design and weights were incorporated to match the Dutch population distribution following census data. Findings Among 4290 participants, we identified 113 probable WNV and/or USUV cases, including 55 seroconversions. Thirty-six cases were confirmed by antibody neutralization, of which 12 seroconverted. Six confirmed seroconverters were identified as autochthonous infections. The overall weighted seroprevalence was estimated at 0.54% (0.21-0.87%) for WNV and 0.25% (0.09-0.40%) for USUV. The weighted incidence for autochthonous WNV and USUV infection was estimated as respectively 0.06% (95% CI 0-0.12%) and 0.04% (95% CI 0-0.09%). Interpretation The estimated infection incidence and seroprevalence of WNV and USUV indicate a substantial underdiagnosis of clinical cases in the Netherlands in 2020-2023. These observations highlight the need for increased awareness among physicians to identify cases and the need for continued paired syndromic-laboratory surveillance for these viruses.

Objectives: To evaluate the epidemiological evolution of unique pneumococcal serotypes covered by either PCV20 or PCV21, common serotypes by both vaccines and non-vaccine serotypes in adults. Methods: We characterized all national IPD clinical isolates from January 2009 to June 2026. Results: The highest burden of IPD was caused by serotypes shared between PCV20 and PCV21 with serotypes 3 and 8 the most prevalent in adults of all ages. During the pre-pandemic period, IPD caused by unique-PCV20 serotypes declined probably due to herd protection by paediatric vaccination with PCVs. In contrast, unique-PCV21 serotypes increased in incidence accounting for more cases than unique-PCV20 serotypes. However, after the COVID-19 pandemic, a different pattern was observed with unique-PCV20 serotypes increasing in incidence due a marked rise in IPD caused by serotypes 4 and 14 that has progressively reduced the gap in disease coverage. In adults aged 18-64 years, the fraction of disease that could be prevented with PCV20/PCV21 changed from 5% in favour of PCV21 (years 2022/2023) to 15% in favour of PCV20 (year 2026) whereas in adults [≥]65 years the vaccine contribution declined from 20% in favour of PCV21 (year 2022) to 8% in 2026. Conclusions: IPD trends in adults have changed after the COVID-19 pandemic, especially in recent years. Our study emphasizes the rapid re-emergence of infections caused by traditional PCV7 serotypes especially serotypes 4 and 14 and reinforce the idea that the use of broader PCVs must be accompanied by an increase in the uptake rates in adults of all ages.

Background: High national vaccination coverage may conceal age-specific and spatially concentrated measles susceptibility. Objective: To assess whether published age-specific seropositivity results can be converted into a time-updated susceptibility profile that corresponds with subsequent measles incidence, while distinguishing susceptibility from infectious introductions and transmission conditions. Methods: For Israel, published 2015 age-specific seropositivity estimates were mapped to monthly birth cohorts and projected to 1 March 2018, accounting for births, aging, maternal antibody, routine vaccination, vaccine effectiveness, and uncertainty in assay interpretation. The primary outcome was reported age-specific incidence during the 2018-2019 outbreak; national and Jerusalem District case burdens were secondary outcomes. Published evidence from the Netherlands, Czechia, and Australia was compared using a common framework covering age distribution, assay classification, vaccination, importation, spatial concentration, and transmission context. Results: The estimated number susceptible in Israel on 1 March 2018 ranged from approximately 0.55 million (6.3% of the modelled population) to 1.92 million (22.4%), with a central estimate of 1.22 million (14.2%). Children aged <1 year had the highest central susceptible proportion (75.7%) and the highest later incidence (196.0 per 100,000). Jerusalem District accounted for 2,202 of 4,311 reported national cases, consistent with susceptibility concentrated in communities with lower first-dose coverage. The external comparisons showed that clustering amplified Dutch outbreak risk, survey design affected Czech estimates, and importation dominated Australian activity. Conclusions: Published seropositivity can identify immunity gaps, but useful outbreak-risk assessment must also represent susceptible density and distribution, introduction pressure, and local transmission conditions. Although the model was not designed to compare alternative vaccination schedules directly, its identification of substantial susceptibility during early childhood provides epidemiological support for Israel's recent decision to advance the second routine MMRV dose from 6 years to 18 months of age, thereby shortening the period during which young children remain dependent on single-dose protection.

Background: Following the global resurgence of cholera in 2022, 51 cholera cases were reported by European countries. We previously characterised 49 Vibrio cholerae O1 isolates from these cases using whole genome sequencing. In 2023 and 2024, 59 additional cholera cases were reported by 11 European countries. Aim: We aimed to confirm that V. cholerae O1 isolates associated with cholera cases reported in Europe in 2023-2024 belonged to the epidemic seventh pandemic El Tor (7PET) lineage rather than to non-epidemic V. cholerae O1 lineages, and to characterise their virulence, antimicrobial resistance (AMR) determinants and phylogenetic relationships. Methods: Fifty V. cholerae O1 isolates were available for whole genome sequencing, of which 49 yielded genomes of sufficient quality for analysis. Genomes were analysed together with more than 1,500 publicly available 7PET genomes to place the European isolates into a global phylogenetic context. Results: All 49 genomes belonged to the 7PET lineage and Wave 3. Four sub-lineages were identified: BD1.2 (2/49), AFR12 (6/49), AFR13 (8/49) and Pre-AFR15 (33/49). The predominance of Pre-AFR15 confirms its continued contribution to the ongoing global cholera resurgence. In contrast to our 2022 survey, eight highly drug-resistant AFR13 isolates were detected, documenting the international spread of this highly drug-resistant clone resistant to multiple first-line antimicrobial agents. Conclusion: Whole genome sequencing should be routinely used by reference laboratories to distinguish epidemic 7PET from non-epidemic V. cholerae O1 lineages and to monitor the emergence and international spread of AMR clones. Continued collaborative genomic surveillance of travel-associated cholera cases can provide early insights into the emergence, international spread and antimicrobial resistance of 7PET sub-lineages.

Mass gathering events (MGEs) play a critical role for infectious disease dynamics on a population level as they provide opportunities for superspreading; however, underlying mechanisms remain insufficiently understood. We analyzed nationwide GPS-based, individual-level location data from mobile phone users in Germany between April and August 2024 with 16m spatial precision. Potentially infectious contacts were inferred from close co-location and linked to contact settings using OpenStreetMap data. Various MGEs, including EURO 2024 matches, major concerts, festivals, and fairs were compared using a common contact metric. Non-football events generated substantially more contacts than football events. While overall national contact numbers remained stable, MGEs produced so-called "small-world" contacts which gather people from distant locations into close proximity and could strongly enhance infectious disease dynamics. Crucially, most high-risk contacts occurred within two hours before the event, not at the event itself, and concentrated in public transport, leisure, and event-adjacent areas. Our work provides the first systematic and comparative evaluation of contact exposure across various types of MGEs and contact settings. Event-type-specific dynamics, particularly indirect and mobility-driven contacts, critically shape infection risk. These insights can inform accurate transmission modeling, targeted intervention and event-management strategies.

The global dissemination of antimicrobial resistance is increasingly driven by bacterial clones combining antimicrobial resistance with enhanced virulence and environmental adaptability. Escherichia coli sequence type 131 (ST131) has historically been regarded as a major disseminator of the extended-spectrum {beta}-lactamase (ESBL) blaCTX-M-15. However, the emergence of E. coli ST1193 carrying blaCTX-M-15 may represent an ongoing shift in the epidemiology of this resistance determinant. Here, we investigated the prevalence, genomic characteristics, virulence and antimicrobial resistance potential of ST1193 in comparison with ST131. A total of 1,136 E. coli isolates were recovered from touristic and non-touristic environments, hospital-associated samples, and aircraft toilets in Guadeloupe. Isolates were whole-genome sequenced and analysed for antimicrobial resistance and virulence determinants. Additionally, publicly available genomic data comprising 1,215 blaCTX-M-15-positive ST131 and ST1193 isolates were analysed to assess temporal and geographical trends. ST1193 was significantly associated with aircraft-associated samples and exhibited a higher antimicrobial resistance gene burden than ST131, while maintaining a comparable virulence factor content. Analysis of publicly available genomes revealed similar temporal emergence patterns for blaCTX-M-15-positive ST1193 and ST131, with ST1193 showing a more recent distribution and a higher number of deposited isolates in recent years, consistent with a potential ongoing clonal replacement. Comparative genomic analysis identified numerous virulence and adaptation-associated genes shared between both sequence types, while ST1193 additionally carried distinct determinants, including components of the transmissible locus of stress tolerance. Furthermore, quinolone resistance-associated mutations were strongly linked to blaCTX-M-15 carriage, particularly among ST1193 isolates. Together, these findings identify E. coli ST1193 as an emerging high-risk clone with substantial potential for blaCTX-M-15 dissemination. Its association with aircraft-associated samples further highlights the potential role of air travel in long-distance transmission and underscores the need to reconsider current surveillance strategies focused predominantly on ST131.

The 2026 multinational Andes virus (ANDV) outbreak linked to cruise-ship travel from Argentina triggered extensive contact tracing and quarantine. Whether intervention on this scale was necessary or sufficient depends on the risk of onward transmission, which can be difficult to estimate early in an outbreak. Using transmission-pair data from the 2018--2019 outbreak in Epuyen, Argentina, and a mechanistic model linking viral growth, symptom onset, and transmission, we estimated that 42.4% (95% CrI: 18.2-69.7\%) of transmission occurs before symptom onset and that the median incubation period is 18.5 days (95% CrI: 16.5-19.5). We simulated outbreaks under an Epuyen-calibrated estimate (R = 2.12, k = 0.316) and a pooled estimate from 15 prior ANDV investigations (R = 0.24, k = 0.39), with intervention beginning after two generations, as in the cruise-associated event. Under the higher-transmission scenario, missing 10% of exposed individuals or downstream contacts resulted in a 29.9% probability of continued spread and a 20.6% probability that at least 5,000 ultimately uninfected people would be quarantined. Under lower transmission, continued spread stayed below 8%. However, the risk of onward transmission could not be estimated precisely from the first several detected cases. These findings therefore support rapid, comprehensive contact tracing and quarantine after large international exposure events despite substantial costs.

Background Severe acute respiratory infections (SARI) strain healthcare systems. Sentinel surveillance remains central to SARI monitoring, but routinely collected hospital discharge data offer a scalable, population-wide complement. In Finland, national registers now enable register-based surveillance, yet SARI case definitions remain unevaluated. Aim To evaluate whether routinely collected electronic health records can support register-based SARI surveillance and establish a national case definition. Methods We conducted a retrospective register-based study linking inpatient discharge data from the Finnish Care Register for Health Care (Hilmo) and laboratory-confirmed pathogen notifications from the National Infectious Diseases Register (NIDR). Admissions were aggregated into hospitalisation episodes using generic and pathogen-specific respiratory ICD-10 codes and linked to laboratory-confirmed respiratory pathogens within an admission-centred window. We assessed the impact of diagnostic coding position, laboratory linkage windows and alternative case definitions on age distribution, seasonality and epidemic trend detection. Results We included 145,435 respiratory hospitalisation episodes. Laboratory confirmations clustered around admission, and a -7-to-+3-day window was selected; 51,498 (35.4%) had a linked laboratory confirmation. Specific primary-position diagnoses preserved clear seasonality and age distributions consistent with SARI epidemiology, whereas secondary-position diagnoses showed attenuated seasonality. A combined case definition incorporating specific primary diagnoses and laboratory-supported syndromic episodes produced stable epidemic curves while improving sensitivity over laboratory confirmation alone. Conclusion National discharge and laboratory registers can support robust SARI surveillance in Finland when case definitions are carefully designed. A combined register-based definition balances specificity, sensitivity and feasibility, complementing sentinel surveillance and integrated respiratory monitoring. Keywords Severe acute respiratory infection (SARI); surveillance; electronic health records; ICD-10; case definition; Finland

BackgroundHuman Mastadenovirus B (HAdV-B) causes ocular and respiratory infections and is capable of causing outbreaks in healthcare settings. HAdV-B114, a recombinant genotype only formally recognised in 2023, has been reported predominantly from Germany, the USA, China and Japan; genomic data from UK clinical settings remain limited. This study analysed 68 HAdV-B whole genomes from ocular and respiratory-associated samples collected at a Nottingham hospital across the pre- and post-COVID-19 restriction periods (2017-2023). MethodsClinical samples typed positive for HAdV-B by partial hexon Sanger sequencing were selected for whole-genome sequencing using a novel overlapping PCR amplicon strategy, sequenced on the Oxford Nanopore Technologies PromethION platform. Phylogenetic and pairwise difference analyses were used to characterise genotype composition and genomic relatedness. SimPlot and amino-acid comparison characterised divergence between sub-lineages. ResultsWhole-genome phylogenetics confirmed that two species B genotypes were detected in Nottingham University Hospitals between 2017-23: HAdV-B114 (n=56) and HAdV-B7 (n=12). HAdV-B114 was detected before and after COVID-19 restrictions, with an increase in 2022-2023, consistent with post-restriction expansion of a pre-existing lineage. Pairwise difference analysis identified 24 genomically identical B114 sequences; associated metadata argued against a single nosocomial transmission chain interpretation, with the pattern more consistent with repeated detection of a widely circulating community strain, with the possibility of localised onward transmission. Within the B114 clade, multiple monophyletic groups were identified by whole-genome phylogenetics. ConclusionsThis study adds whole-genome resolution to the existing UK HAdV-B114 data, demonstrates the utility of WGS for clinical adenovirus surveillance and shows the benefits of combining epidemiological data with genomic analysis.

Background: Optimising sampling frames for genomic surveillance of E. coli and Klebsiella may support interventions to mitigate bloodstream infections (BSIs), but approaches to estimating sample size and how these relate to bacterial population diversity at multiple genetic levels (strain/plasmid/antimicrobial resistance genes [ARGs]) are lacking. Methods: Using systematically collected, regionally-stratified, whole genome sequencing data from a 6-month genomic survey of English E. coli/Klebsiella BSI isolates (n=1,939; NEKSUS), we used Bayesian approaches to estimate the sample sizes required to capture genetic diversity at strain- (MLST, fastBAPS clusters), plasmid- and ARG-levels, using two diversity measures: 'coverage' (i.e. proportion of the bacterial population/plasmids/ARGs represented by features observed in the sample), and the number/proportion of unique features observed at varying surveillance sample sizes. Our method is available as a user-friendly R Shiny application, EpiSENTRY (https://01a0c3dd-90d2-e597-58a5-51391a468387.share.connect.posit.cloud/). Findings: Randomly sampling 1,400 E. coli/Klebsiella BSI isolates each achieved [&ge;]80% coverage of bacterial lineages and ARGs (i.e. capture features constituting [&ge;]80% of the population) at 95% certainty, but captured lower proportions of unique features (28% MLSTs, 59% fastBAPS clusters, 19% plasmid subcommunities, and 57% ARGs for E. coli; 49%, 87%, 50% and 83% for Klebsiella, respectively). Sample sizes required for 80% coverage of E. coli plasmid populations were higher than MLSTs (1,928 [95% CrI: 1,837-2,025] vs 1,351 [1,230-1,472]), while for Klebsiella, estimates were lower for plasmids (1,115 [1,052-1,181] vs 1,422 [1,331-1,515] for MLSTs). Lower sample sizes adequately captured 80% coverage of fastBAPS clusters and ARGs (649 [575-727] and 27 [23-30], respectively, for E. coli; 113 [84-145] and 83 [72-96] for Klebsiella), due to feature-specific frequency distributions. Klebsiella BSIs were more diverse than E. coli, with sampling 10.9% vs 3.2% of total annual BSIs in England needed to reach 80% MLST coverage. Plasmid populations and Klebsiella MLSTs were region-specific, emphasising the need for regionally-representative sampling. Interpretation: Bayesian analysis facilitates estimates of context-specific genomic surveillance sample sizes. Cost-effective targets for coverage require further optimisation.

Importance: Nirsevimab, a monoclonal antibody against RSV, was implemented in France in September 2023. Recently, rare resistance-associated substitutions were described in RSV but the effectiveness according to lineages remains unclear. Objective: We aimed to estimate the effectiveness of nirsevimab against hospitalization for RSV bronchiolitis according to RSV lineages. Design: We conducted a multicenter test-negative case-control study from October 15, 2023 to March 15, 2025. Setting: This study was based on data from three national multicentric prospective studies. The 12 participating centers were secondary or tertiary hospital with a pediatric department located in France. Participants: We included all children younger than 12 months who were hospitalized for RSV bronchiolitis in one of the participating centers in France during the two first RSV epidemic seasons following the implementation of nirsevimab (from October 15, 2023 to February 29, 2024, and from October 10, 2024 to March 15, 2025). Main outcomes and measures: The main outcome of the study was the RSV test result of bronchiolitis cases. RSV whole-genome sequencing was performed using a tiled amplicon approach covering the complete viral genome, as previously described in the POLYRES studies. We estimated the effectiveness of nirsevimab by a multivariable logistic regression model adjusted for potential confounders. We estimated the adjusted risk of immunization failure for each lineage by calculating relative odds ratio to a reference lineage. A range of sensitivity analyses were conducted. Results: We included 3019 infants with bronchiolitis among which 2273 had a positive RSV test (case patients) and 746 had a negative RSV test (control patients). Overall, 373/2273 (16.4%) case patients were immunized by nirsevimab versus 423/746 (56.7%) control patients. The adjusted effectiveness of nirsevimab against hospitalization for bronchiolitis was 88.4% (95% CI, 84.5-91.4) with RSV-B and 79.4% (95% CI, 73.7-83.8) with RSV-A. The risk of immunization failure was 3.2-fold (95% CI 1.8-5.7) higher for lineages derived from A.D.3 than for lineages derived from B.D.4.1. Conclusion and relevance: In this multicentric case-control study, we observed that nirsevimab effectiveness was variable across RSV lineages, with a lower effectiveness against A.D.3 lineages compare to others. Further surveillance is needed to confirm these findings and assess their implication on RSV lineages epidemiology as nirsevimab use expands.

To deal with the COVID-19 pandemic, Denmark implemented an aggressive program aimed at controlling the pandemic which included both testing and contact tracing programs. The large amount of data collected in Denmark on the pandemic and its integrated nature made it possible to investigate the effectiveness of the testing and contact tracing effort. The results of that investigation and a discussion of the effectiveness and limitations of the different control efforts are reported herein, as are lessons learned concerning possible improvements for the future. The analysis is limited to the period from the start of the COVID-19 pandemic in Denmark (late Feb. 2020) into May 2021, at which time the impact of vaccination intervention was already playing a role with ~25% of the Danish population at least partially vaccinated. From the available data sets we estimate the national Infection Detection Efficiency (IDE) starting around July 1, 2020, the time at which the national infection detection program started to be implemented in a more robust form. The results rely on daily COVID-19 hospital admissions, PCR test results, and anti-body prevalence values for the Danish population. We find that for the long-term average, the combined Danish national testing and contact tracing program identified on average about 55 to 60% of the infected individuals during the period from Sept. 1, 2020, into early May 2021. However, higher infection detection efficiencies were achieved in localized areas for short time intervals. Our investigations further indicate that the Danish testing and contact tracing program, which was among the most ambitious in the world, could have had a better balance between voluntary probing on the one hand and focused contact tracing and targeted testing on the other hand. As typically implemented, it proved to be largely ineffective in controlling the pandemic. However, in at least one case when it was implemented in an enhanced and focused mode, it was able to bring a large local outbreak that dominated the country's cases under control. We have compiled a list of lessons learned regarding the use of contact tracing procedures to control potential future pandemics before vaccinations become available.

BackgroundCOVID-19 pandemic modified trends of infant bronchiolitis, leading cause of emergency room (ER) attendance in infants in high income countries, primarily due to Respiratory Syncytial Virus. Understanding recent pandemic-related epidemiological shifts could inform affordable prevention efforts to improve sustainability and coverage of prophylactic treatments beyond maternal vaccines and infant monoclonal antibodies. MethodsWe estimated incidence rates (IR) of bronchiolitis ER presentations in 0-6month olds in 2012-2023 in a region-wide cohort of almost 1 million births using administrative health data from Lombardy, Italy. To assess potential contributors, we investigated direct and indirect COVID-19-related factors, including disease severity, shape of the epidemic peak, parental health seeking behaviour and vaccine coverage. We estimated COVID-19 maternal vaccination associations using mothers-infants data linkages and multivariable-adjusted logistic regression. FindingsCompared to pre-pandemic levels, IRs doubled in 2021-2023 (from 2 to [&ge;] 4/100 person-time). The surge could not be explained by changes in infant age at ER visit, clinical severity or in the shape of the epidemic peak. Adjusted models showed little support for a role of infant routine or maternal COVID-19 vaccination on bronchiolitis episodes (respectively hazard ratio 1.09, 95%CI: 0.98-1.22 and odds ratio 0.91, 95%CI: 0.76-1.09). InterpretationThe post-pandemic increase in infant bronchiolitis is likely driven by multiple epidemiological changes rather than a single factor. As maternal RSV vaccination and infant RSV monoclonal antibodies are introduced and scale up, identifying these mechanisms will be critical to maximise their public health impact, inform complementary prevention strategies, and improve preparedness for future RSV epidemics.

Background Clinical trials demonstrated high efficacy of daily and event-driven oral pre-exposure prophylaxis (PrEP) in HIV prevention. Event-driven PrEP involves taking two tablets before and two times one tablet after sexual contact (2-1-1/on-demand). While both are implemented in Dutch clinical practice, evaluating real-world effectiveness requires large-scale data from routine clinical care. This study compared HIV incidence between daily and event-driven PrEP in the Netherlands. Methods We used surveillance data from the Dutch national PrEP program (August 1, 2019-December 31, 2025). Individuals [&ge;]16 years with [&ge;]1 follow-up consultation after PrEP initiation were included; PrEP regimen since last visit was recorded at each visit. Person-time was modeled as time-varying based on the regimen reported at each consultation. HIV incidence rates were calculated per 100 person-years and Cox proportional hazards models estimated hazard ratios between regimens for HIV acquisition, adjusted for sociodemographics, sexual behavior, and history of sexually transmissible infections. Findings 16,469 individuals (15,843 men who have sex with men, 579 transgender and gender diverse persons, 45 women and two men who have sex with women) initiated PrEP and had [&ge;]1 follow-up visit (median follow-up 2.0 years (IQR=0.8-4.0)). Median age was 33 years (IQR=27-44). 49 PrEP users were diagnosed with HIV over 41,092 person-years (IR=0.12/100 py;95%CI=0.09-0.16), of whom 42 event-driven users (IR=0.20/100 py;95%CI=0.15-0.27) and seven daily PrEP users (IR=0.04/100 py;95%CI=0.02-0.07). In multivariable Cox regression, event-driven PrEP use was associated with a higher hazard of HIV acquisition (aHR=7.0;95%CI=3.0-16.4). Interpretation Despite overall low HIV incidence, the incidence rate in the Dutch national PrEP program was seven-fold higher during event-driven PrEP use compared to daily, which may be due to lower adherence. These findings denotes that, in real-world settings, improved person-centered counseling is needed for individuals interested in, or using event-driven PrEP. Research should identify domains and preferred methods of support. Funding None for this study.

Background: A large increase in mortality from severe acute respiratory infections (SARI) in Brazil in 2025 was mainly driven by influenza A and respiratory syncytial virus (RSV) among children and the aged, but 2026 data remain largely unpublished. Methods: Secondary data on SARI by age group (<2, 2-4, 5-14, 15-49, 50-64, 65+ years) and virus (Influenza A/B, RSV, SARS-CoV-2, adenovirus, rhinovirus, bocavirus, and metapneumovirus) were retrieved for 35 weeks of 2026. Weekly variations in infection rate (IR) and mortality rate (MR) were described by virus and age group. Case fatality ratio (CFR) and vaccine-preventable deaths from influenza, RSV, and SARS-CoV-2 were analysed by age group. Missing virus classification was estimated by multinomial regression. Poisson-based 95% confidence intervals (CI) were calculated for MR. Results: Influenza A infections quintupled during February and March, with a mortality peak in April, mainly due to H2N3. RSV and rhinovirus caused more deaths than influenza viruses, especially among young children (<2) and the aged (65+). The former were most frequently infected by RSV and the latter by rhinovirus. For those 50 years or older, influenza B reached a CFR of about 20%, compared with 5-15% for influenza A, metapneumovirus, rhinovirus, and other non-subtyped viruses. The highest vaccine-preventable MRs per 100,000 were 17.23 for the oldest and 8.62 for the youngest. Under ideal conditions, 6418 lives could have been saved, about half among children and adolescents <15 years old. Conclusions: Vaccine-preventable SARI in Brazil exerted a high toll in fall and winter 2026, mainly due to influenza A, RSV, and rhinovirus. Better vaccine coverage may significantly reduce this toll.

Background Using a population-based cohort from the Calgary Health Zone (CHZ), Canada, we integrated longitudinal antimicrobial susceptibility and prescribing data with the whole genome sequences of five major pathogens. We aimed to assess how antimicrobial resistance (AMR) responds to prescribing changes and determine which bacterial strains shape these dynamics. Methods We analysed antibiotic prescribing rates, clinical and genomic data from 7,271 Staphylococcus aureus, 1,609 Enterococcus faecalis, 801 Enterococcus faecium, 11,363 Escherichia coli, and 2,319 Klebsiella pneumoniae isolates, associated with bacteraemia episodes in the CHZ between 2006-2022. Genomic clusters (referred to as strains) were identified using StrainGST and assigned to known sequence types (STs) or clonal complexes (CCs). Strain-level incidence, stratified by community-onset (isolates collected [&le;]48h after admission) and hospital-onset (>48h after admission), AMR phenotypes, and prescribing rates were modelled using negative-binomial and binomial regression. Temporal trends were quantified using average annual percentage change (AAPC). Findings Between 2010-2022, fluoroquinolone prescribing declined in both community (AAPC=-6.8% [95% CI -8.1, -5.4]; p<0.0001) and hospital settings (AAPC=-5.1% [-6.5, -3.7]; p<0.0001). This was accompanied by a significant reduction in fluoroquinolone resistance among Gram-positive species. Specifically, S aureus bacteraemia resistant to clinically important antibiotics, cloxacillin, ciprofloxacin, erythromycin, and clindamycin, declined from 2006 to 2022, mostly in hospital-onset cases (AAPC=-16.0%, [-19.3%, -12.7%], p<0.0001). In E coli, ceftriaxone and ciprofloxacin resistance were clustered in ST131 and the emerging ST1193; the latter increased steadily, particularly in community-onset cases (AAPC=17.7%, [0.0%, 30.0%], p<0.0001). CTX-M-27-producing E coli ST131 strains increased (AAPC=23.8%, [17.4%, 30.5%], p<0.0001) between 20082022, while CTX-M-14-producing E coli ST131 declined (AAPC=-15.9%, [-21.3%, -10.2%], p<0.0001) between 2013-2022. These trends were paralleled by an increase in community cephalosporin prescribing (AAPC=7.3%, [4.2%, 10.5%], p<0.0001) between 2010-2022. For K pneumoniae, hypervirulent ST23 was most common (N=88) with an increasing trend in incidence (AAPC=3.0%, [-2.8%, 9.2%]) between 2006-2019. Conclusions The contrasting resistance trends between Gram-positive and Gram-negative species underscore the complexity of AMR control efforts. Effective strategies will require stewardship efforts targeting multiple drug classes, genomic surveillance for emerging resistant strains, and interventions extending beyond hospital settings.

Objectives- Among clinical methicillin-resistant Staphylococcus aureus (MRSA) bloodstream infection (BSI) strains, we sought to determine the prevalence of {beta}-lactam-{beta}-lactamase inhibitor (BLBLI) susceptibility, and its association with oxacillin susceptibility, genotypic factors, and patient characteristics. Methods- Clinical MRSA BSI strains were tested for susceptibility to penicillin-clavulanate by Etest (n=117, 36% of the dataset) and to oxacillin by disk diffusion assay (n=328, 100%). Penicillin-clavulanate susceptibility was defined as MIC [&le;]2mg/L and oxacillin disk susceptibility as an inhibition zone > 6mm. All strains were whole-genome sequenced, and alleles of mecA annotated. The sensitivity and specificity of the oxacillin disk to predict penicillin-clavulanate 'susceptibility' were assessed. Clinical and genomic associations with BLBLI 'susceptibility' were assessed by calculating odds-ratios (OR). Results -We found 73/117 (62%) and 205/328 (62%) strains to be 'susceptible' to penicillin-clavulanate and oxacillin disk, respectively. Oxacillin disk susceptibility and penicillin-clavulanate susceptibility were highly correlated (sensitivity 97.3% and specificity 95.5%). We therefore used oxacillin disk susceptibility as a proxy for penicillin-clavulanate susceptibility. Comparative genomics of the mecA gene uncovered 8 alleles. The oxacillin disk 'susceptible' phenotype was associated with specific mecA alleles, community-associated MRSA sequence-types (OR 72.8, 95%CI 35.4-162), community acquisition of infection (OR 2.09, 95% CI 1.03-4.27), lower Charlson Comorbidity Index (OR 0.90, 95% CI 0.82-0.98) and SOFA (sequential organ failure assessment) scores at presentation (OR 0.88, 95% CI 0.79-0.98). Conclusion - BLBLI 'susceptibility' is common among MRSA strains and is strongly associated with the strain genotype. Infections caused by BLBLI 'susceptible' strains are associated with specific patients' characteristics, namely younger age, fewer comorbidities, acquisition in the community and milder presentations.

Background: Influenza and respiratory syncytial virus (RSV) both cause annual peaks in hospitalisation and with considerable overlap. Epidemiological studies suggest an inhibitory relationship, which is supported by laboratory studies. Several biological mechanisms including resource competition and immune activation have been identified, but limited evidence exists to distinguish their effects at the population level. Methods: We developed an influenza-RSV compartmental model to estimate and compare potential interactions using data on virus-associated hospitalisations in Valencia, Spain from 2010 through 2020. We considered five interaction mechanisms: altered susceptibility, transmissibility and severity, a refractory period post-infection, and a residual positivity period. Using Bayesian inference, we fit the model to weekly hospitalisations with influenza, RSV or both, and to national surveillance data for influenza-like illness. Results: We found evidence for inhibition between influenza and RSV, with several interaction mechanisms being supported. In the best-fitting model, active RSV infection reduced the probability of hospitalisation with influenza to 20% of the baseline (with the data supporting values from 0%-60%). Compared to a model without interaction, this mechanism reduced the number of hospital cases with influenza-RSV co-detection by 63%. Conclusions: Our results support the existence of inhibitory mechanisms, with small but substantial effects on disease epidemiology. These results highlight the importance of understanding these interactions under the changing epidemiology of respiratory viruses and vaccinations.

Carbapenem-resistant Escherichia coli (CR-E. coli) is an emerging One Health threat, but recent shifts in predominant lineages and genomic links between clinical and food reservoirs in Hong Kong remain poorly defined. We analyzed 271 CR-E. coli isolates from four hospitals (2022-2026) and 585 isolates recovered from 4,917 retail food samples (2022-2025). Isolates underwent antimicrobial susceptibility testing, whole-genome sequencing, multilocus sequence typing, resistance-gene and plasmid profiling, core-genome SNP phylogenetics, and comparative genomics. Food isolates were mainly from raw pork (268/585, 45.8%) and raw chicken (231/585, 39.5%). blaNDM-5 was detected in 527/585 (90.1%) food and 241/271 (88.9%) clinical isolates. ST69 was the most frequent defined sequence type in both collections, representing 44/585 (7.5%) food and 36/271 (13.3%) clinical isolates, in contrast to the heterogeneous lineages and carbapenemases previously reported in Hong Kong. Applying a predefined [&le;]50-pairwise-SNP threshold for close genomic relatedness, core-genome phylogeny of 80 ST69 isolates identified two major mixed-source clusters collectively comprising 28 clinical and 27 food isolates. Clustered isolates showed similar antimicrobial resistance profiles, carried blaNDM-5 and blaTEM-1, and were associated with IncI1 MLST | ST136 plasmids. Comparative analyses showed >99.85% average nucleotide identity and broad conservation of the blaNDM-5-associated plasmid backbone across sources. These findings indicate the emergence of blaNDM-5-carrying ST69 as a prominent CR-E. coli lineage in Hong Kong and demonstrate close genomic relatedness between selected clinical and retail food isolates. Although transmission direction have not been inferred yet, the findings support integrated One Health surveillance and source-tracing across clinical, food, animal, and environmental sectors.

The emergence of a dominant poultry-associated strain of Campylobacter jejuni in New Zealand coincided with a multi-year epidemic of human campylobacteriosis. This was characterised by an increase in cases to 2006, when one of the highest national case-rates in the world was recorded, followed by a rapid decline attributed to interventions in the poultry industry. The strain belonged to an internationally rare multilocus sequence type, ST474 - a member of Clonal Complex (CC) 48 - that was highly prevalent in both poultry and human cases in New Zealand but was also identified in other samples. ST474 isolates from humans, animal reservoirs and environmental water samples were collected between 2005 and 2019 and whole genome sequenced (N=443). Isolates from a 2018/9 case-control study of campylobacteriosis in New Zealand were included for genomic comparisons with other sequence types and CCs. This presented an opportunity to examine the genomic epidemiology of a single, relatively recently emerged lineage of C. jejuni, and improve our understanding of drivers of emergence and persistence in a relatively isolated ecosystem. Six subpopulations (clades) of ST474 were identified and these varied in terms of their host association, persistence, patterns of homologous recombination, and complement of mobile genetic elements, including plasmids and chromosomally integrated elements. Clade E was associated with a single poultry supplier in the initial epidemic phase and accounted for 34.5% of human cases. Clade F emerged from a declining Clade E after the peak in human cases and was also associated with poultry. The emergence of Clade F was accompanied by the loss of integrated element CJIE5 and the acquisition of multiple blocks of recombination, likely from diverse ancestral C. jejuni lineages, and the loss of the methionine biosynthesis operon metAB. In contrast, Clades A-D were detected at low frequencies in human cases over the 14-year period of surveillance and were associated with multiple hosts. This longitudinal study sheds light on the evolutionary processes that result in strain emergence and differentiation, highlighting the role of horizontal gene transfer in the evolution and adaptation of this pathogen to new niches, and the subsequent impact on public health.