Number of Austrian SARS-CoV-2 infections in the 2024/2025 season: Analysis of national wastewater data

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Wastewater data indicates 2.5 million new Austrian SARS-CoV-2 infections between April 2024 and March 2025, with the earliest fall peak and lowest annual infections since 2020.

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This retrospective study estimated the total number of SARS-CoV-2 infections in Austria’s entire population between April 1, 2024 and March 31, 2025 using national wastewater monitoring data and a previously published wastewater-to-infection modeling approach. The authors filtered, corrected, averaged, and interpolated wastewater signals and applied a backcasting algorithm to infer daily active infections and daily new infections, yielding an estimated 2.5 million new infections overall and a peak of active infections in late September 2024, with the main fall/winter wave occurring earlier than in prior years. A key limitation is that the confidence intervals are primarily driven by uncertainty in a correction factor and do not fully account for possible changes in viral shedding intensity or duration since 2022. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

ABSTRACT Adaptation of SARS-CoV-2 policies requires information of contemporary infection trends. Based on wastewater data, we estimate 2.5 million new infections in Austria between April 1, 2024, and March 31, 2025, with peak in early October. This indicates the earliest annual fall/winter peak and the lowest annual infections since 2020.
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Skip to main content Home About Submit ALERTS / RSS Search for this keyword Advanced Search Number of Austrian SARS-CoV-2 infections in the 2024/2025 season: Analysis of national wastewater data View ORCID Profile Uwe Riedmann , Wolfgang Rauch , Hannes Schenk , Herbert Oberacher , View ORCID Profile John PA Ioannidis , Stefan Pilz doi: https://doi.org/10.1101/2025.05.05.25327005 Uwe Riedmann a Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz , 8036 Graz, Austria MD Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Uwe Riedmann For correspondence: uwe.riedmann{at}medunigraz.at Wolfgang Rauch b Department of Environmental Engineering, University of Innsbruck , 6020 Innsbruck, Austria PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Hannes Schenk b Department of Environmental Engineering, University of Innsbruck , 6020 Innsbruck, Austria MSc Find this author on Google Scholar Find this author on PubMed Search for this author on this site Herbert Oberacher c Institute of Legal Medicine and Core Facility Metabolomics, Medical University of Innsbruck , 6020 Innsbruck, Austria PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site John PA Ioannidis d Department of Medicine, Stanford University School of Medicine , Stanford, CA 94305, USA e Department of Epidemiology and Population Health, Stanford University School of Medicine , Stanford, CA 94305, USA f Department of Biomedical Data Science, Stanford University School of Medicine , Stanford, CA 94305, USA g Meta-Research Innovation Center at Stanford, Stanford University , Stanford, CA 94305, USA MD, DSc Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for John PA Ioannidis Stefan Pilz a Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz , 8036 Graz, Austria PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Abstract Full Text Info/History Metrics Supplementary material Data/Code Preview PDF ABSTRACT Adaptation of SARS-CoV-2 policies requires information of contemporary infection trends. Based on wastewater data, we estimate 2.5 million new infections in Austria between April 1, 2024, and March 31, 2025, with peak in early October. This indicates the earliest annual fall/winter peak and the lowest annual infections since 2020. INTRODUCTION To create and update health policies regarding SARS-CoV-2, it is imperative to have a grasp on the current disease burden. That includes knowledge on the number of infected, and overall infection trends. As the SARS-CoV-2 infections are no longer actively tracked, we need to utilize indirect measures such as estimation from wastewater data. Raw wastewater data can give us insight in trends and changes in infection frequencies across different years, and estimation of infections further provide scaling, enabling comparisons to influenza and other diseases. Such estimations have previously been performed for Austria up to May 2024. 1 – 3 Here we used a previously published model on recent national wastewater data to estimate the number of all SARS-CoV-2 infections that occurred in Austria from April 2024 1, to March 31, 2025. 1 METHODS Study data and analysis We conducted a retrospective estimation of total SARS-CoV-2 infections in the entire population of Austria from April 1, 2024 to March 31, 2025, based on wastewater monitoring data. 1 , 2 , 4 We chose this time period as the nadir of estimated active infections during 2024 occurred in late March. Wastewater data from the Austrian SARS-CoV-2 wastewater monitoring initiative was provided by the Austrian Federal Ministry of Labour, Social Affairs, Health, Care and Consumer Protection for the period from November 2022, to April 21, 2025. Since 2023, the dataset covers the unchanged catchment area of approximately 58% of the Austrian population. Data before December 2022 was based on a publication by Rauch and colleagues. 1 We additionally provide estimates for the calendar years. The study was approved by the ethics committee at the Medical University of Graz (no. 33-144 ex 20/21). The statistical analyses and simulations were conducted using R (version 4.4.2). 5 Infection estimation from wastewater data For the estimation of total SARS-CoV-2 infections we applied our previously published approach, that estimated active infected and new daily infections in Austria based on wastewater data from May 2020 to May 2024. 1 , 3 The wastewater data was filtered, outlier corrected, averaged and interpolated before the model estimation. 2 , 6 – 8 We then applied the wastewater model from Rauch et al. 1 , 4 and scaled parameter estimates documented in Riedmann et al. 3 , to estimate daily active infections. A backcasting algorithm was applied to estimate daily new infections from daily active infections (see Supplements). The monitoring data as well as the pre-processing and normalization methodology is presented in the supplementary methods, and described in detail in previous publications. 1 – 4 , 6 – 8 RESULTS Infection estimation from wastewater data Between April 1, 2024, and March 31, 2025, estimated active infected individuals fluctuated between 337,000 at its peak on September 27-29 and 8,800 at the lowest on April 1-4, 2024 ( Figure 1 ). Within this period, we estimated a total of approximately 2.5 million new infections ( Figure 2 ). Download figure Open in new tab Figure 1: Active daily infection estimates. Red area indicates confidence intervals (CI) of the model parameter. 1 The peak is on 27-29, September 2024. For the calendar years 2020, 2021, 2022, and 2023, the fall/winter peaks had occurred in November 20, November 24, October 8, and December 11-13, respectively, while 2022 had also an even higher spring peak (March 22, 2022) (Figure S1a). The CIs indicate uncertainty in the originally estimated correction factor (shedding and loss; see Supplements). 1 They do not incorporate potential changes in shedding intensity and shedding duration since 2022 and thus result in relatively narrow CIs. Download figure Open in new tab Figure 2: New daily infection estimates. Red area indicates confidence intervals of the model parameter. 1 The peak is on 2, October 2024. For the calendar years 2020, 2021, 2022, and 2023, the fall/winter peaks had occurred in November 17, November 24, October 2, and December 13, respectively (Figure S1b). Note that slight shifts in peaks compared to the active daily infected estimates are due to smoothing during the backcasting algorithm. Similar caveats exist about the narrow confidence intervals as for Figure 1 . In previous years 1.8 million, 4.5 million, 5.5 million and 3.3 million estimated infections occurred starting in April 2020, 2021, 2022 and 2023, respectively (Figure S1). Estimated infections of calendar years were at 2.8 million for 2024 as well as 1.1 million, 1.9 million, 7.4 million and 4.2 million for 2020, 2021, 2022 and 2023 respectively (Figure S1). Note that estimates for 2020 were only available after May 19th. 3 DISCUSSION We found that the SARS-CoV-2 infection rates still fluctuated markedly across seasons, but the primary fall/winter wave was much earlier in 2024 than in previous years. After an early peak in September, infections stayed at a moderate to low level throughout the winter and have plummeted in spring 2025. Overall, 2.5 million estimated infections occurred between April 1, 2024, and March 31, 2025 (28% of the population size). This represents a decrease in infections of about a quarter compared to the same time period 2023/2024. 3 Wastewater data allow calculation of “active” infections that reflect viral shedding. Hence, one can calculate new daily infections (and total infections over a given period) based on an assumed estimate of the duration of viral shedding. The decrease in active infections is assumed to reflect fewer daily infections but it can also be affected by a change in the duration in viral shedding. Increased immune protection in the general population may be responsible for the decrease in infections. 3 Alternatively, higher immunity may have reduced the severity of the disease and duration of viral shedding. 9 , 10 E.g. if duration of viral shedding has decreased to 10 days instead of 14, then the estimated number of infected in that last year is 3.5 million instead of 2.5 million. Overall, substantial parts of the population are infected every year, possibly contributing to enhanced immunological protection on a population level. 3 Whether these continuous immunizations by repeated SARS-CoV-2 infections obviate the future need for SARS-CoV-2 routine testing and vaccinations warrants further studies. The findings are likely to be representative in scale for a majority of western countries in the northern hemisphere, as Austria is comparable to most western European countries in its social system and healthcare system. 3 The results are subject to several methodological limitations, as discussed in previous publications, and should be interpreted as rough estimates. 1 , 3 For the calculations we used an estimated population size of 9.02 million. This estimate is based on previous, mid pandemic population statistics. Since then, Austria’s population has increased by about 2% (January 2025: 9.2 million). 11 Using this higher base population increased estimated new infections by about 50,000. We deemed this difference neglectable and decided to keep the previous population size to ease comparability between years. As fatality rates were already very low by 2022, 12 in the endemic phase policy makers, physicians and high-risk individuals should be aware of the ongoing seasonal SARS-CoV-2 infection waves and their variability in timing. Future studies may also link SARS-CoV-2 infection data as provided by our study to mortality, hospitalization and health utilization data in order to assess cost-effectiveness calculations on COVID-19 policies. Data Availability The data that support the findings of this study are available upon request with approval needed from the Austrian Federal Ministry of Labour, Social Affairs, Health, Care and Consumer Protection. Contributors UR and SP conceptualized the study. UR and SP wrote the original draft of the manuscript. SP acquired funding. UR and HS wrote software. HO curated data. UR performed the formal analyses and handled visualization. SP administered the project. All authors contributed to writing, reviewing, and editing the manuscript, and approved the final version before submission. Data sharing statement The data that support the findings of this study are available upon request with approval needed from the Austrian Federal Ministry of Labour, Social Affairs, Health, Care and Consumer Protection. Declaration of interests The authors declare no conflict of interests. Funding The study was founded by the Austrian Science Fund (FWF) KLI 1188. For this study, data from the National SARS-CoV-2 Wastewater Monitoring Program was used. This program is financed by the Austrian federal Ministry of Labour, Social Affairs, Health, Care and Consumer Protection who has the sole right of use for the data. Acknowledgements The authors thank all persons and organizations involved in data collection. REFERENCES ↵ Rauch W , Schenk H , Rauch N , et al. Estimating actual SARS-CoV-2 infections from secondary data . Sci Rep 2024 ; 14 : 6732 . OpenUrl PubMed ↵ Schenk H , Heidinger P , Insam H , et al. Prediction of hospitalisations based on wastewater-based SARS-CoV-2 epidemiology . Science of The Total Environment 2023 ; 873 : 162149 . OpenUrl PubMed ↵ Riedmann U , Chalupka A , Richter L , et al. Estimates of SARS-CoV-2 Infections and Population Immunity After the COVID-19 Pandemic in Austria: Analysis of National Wastewater Data . The Journal of Infectious Diseases 2025 ; : jiaf054 . ↵ Rauch W , Schenk H , Insam H , Markt R , Kreuzinger N. Data modelling recipes for SARS-CoV-2 wastewater-based epidemiology . Environmental Research 2022 ; 214 : 113809 . OpenUrl ↵ R Core Team . : A Language and Environment for Statistical Computing . https://www.R-project.org/ . ↵ Daleiden B , Niederstätter H , Steinlechner M , et al. Wastewater surveillance of SARS-CoV-2 in Austria: development, implementation, and operation of the Tyrolean wastewater monitoring program . Journal of Water and Health 2022 ; 20 : 314 – 28 . OpenUrl CrossRef PubMed Amman F , Markt R , Endler L , et al. Viral variant-resolved wastewater surveillance of SARS-CoV-2 at national scale . Nat Biotechnol 2022 ; 40 : 1814 – 22 . OpenUrl PubMed ↵ Markt R , Mayr M , Peer E , Wagner AO , Lackner N , Insam H. Detection and Stability of SARS-CoV-2 Fragments in Wastewater: Impact of Storage Temperature . Pathogens 2021 ; 10 : 1215 . OpenUrl CrossRef PubMed ↵ Wan Z , Han J , Wang D , et al. Effects of vaccination on antibody level and duration of viral shedding in Omicron patients . The Journal of Infection in Developing Countries 2024 ; 18 : S184 – 90 . OpenUrl ↵ Arfijanto MV , Asmarawati TP , Bramantono B , et al. Duration of SARS-CoV-2 RNA Shedding Is Significantly Influenced by Disease Severity, Bilateral Pulmonary Infiltrates, Antibiotic Treatment, and Diabetic Status: Consideration for Isolation Period . Pathophysiology 2023 ; 30 : 186 – 98 . OpenUrl PubMed ↵ Population at beginning of year/quarter . STATISTICS AUSTRIA . https://www.statistik.at/en/statistics/population-and-society/population/population-stock/population-at-beginning-of-year/quarter (accessed April 22, 2025 ). ↵ Riedmann U , Chalupka A , Richter L , et al. COVID-19 case fatality rate and infection fatality rate from 2020 to 2023: Nationwide analysis in Austria . Journal of Infection and Public Health 2025 ; 18 : 102698 . OpenUrl CrossRef View the discussion thread. Back to top Previous Next Posted May 06, 2025. 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