A5022505715- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- COVID-19 epidemiological studies
- Biosensors and Analytical Detection
- COVID-19 diagnosis using AI
- COVID-19 impact on air quality
- Distributed Sensor Networks and Detection Algorithms
Universität Innsbruck
2022-2025
Stanford University
2024
Wastewater-based epidemiology is widely applied in Austria since April 2020 to monitor the SARS-CoV-2 pandemic. With a steadily increasing number of monitored wastewater facilities, 123 plants covering roughly 70 % 9 million population were as August 2022. In this study, viral concentrations raw sewage analysed infer short-term hospitalisation occupancy. The temporal lead wastewater-based epidemiological time series over occupancy levels facilitates construction forecast models. Data...
Wastewater based epidemiology is recognized as one of the monitoring pillars, providing essential information for pandemic management. Central in methodology are data modelling concepts both communicating results but also analysis signal. It due to fast development field that a range used without coherent framework. This paper provides such framework, focusing on robust and simple readily applicable, rather than applying latest findings from e.g., machine learning. demonstrated...
Abstract Eminent in pandemic management is accurate information on infection dynamics to plan for timely installation of control measures and vaccination campaigns. Despite huge efforts diagnostic testing individuals, the underestimation actual number SARS-CoV-2 infections remains significant due large undocumented cases. In this paper we demonstrate compare three methods estimate true based secondary data i.e., (a) test positivity, (b) fatality (c) wastewater monitoring. The concept tested...
Postpandemic surveillance data on coronavirus disease 2019 (COVID-19) infections may help inform future public health policies regarding severe acute respiratory syndrome 2 (SARS-CoV-2) testing, vaccinations, or other COVID-19 measures. We estimate the total SARS-CoV-2 in Austria after end of pandemic from wastewater and utilize these estimates to calculate average national levels infection protection death protection. estimated (5 May 2023, per World Health Organization) up 2024 using a...
Abstract Wastewater-Based Epidemiology (WBE) has become a powerful tool for assessing disease occurrence in communities. This study investigates the coronavirus 2019 (COVID-19) epidemic United States during 2023-2024 season using wastewater data from 189 treatment plants 40 states and District of Columbia. Severe acute respiratory syndrome 2 (SARS-CoV-2) pepper-mild mottle virus normalized SARS-CoV-2 concentration were compared with COVID-19 hospitalization admission at both national state...
Wastewater-Based Epidemiology (WBE) has become a powerful tool for assessing disease occurrence in communities. This study investigates the coronavirus 2019 (COVID-19) epidemic United States during 2023–2024 using wastewater data from 189 treatment plants 40 states and District of Columbia. Severe acute respiratory syndrome 2 (SARS-CoV-2) pepper-mild mottle virus normalized SARS-CoV-2 RNA concentration were compared with COVID-19 hospitalization admission at both national state levels. We...
Wastewater-based epidemiology has garnered considerable research interest, concerning the COVID-19 pandemic. Restrictive public health interventions and mobility limitations are measures to avert a rising case prevalence. The current study integrates WBE monitoring strategies, Google data, restriction information assess epidemiological development of COVID-19. Various SARIMAX models were employed predict SARS-CoV-2 cases in Liechtenstein two Austrian regions. This analyzes four primary...
ABSTRACT Background: Post-pandemic surveillance data on COVID-19 infections may help inform future public health policies regarding SARS-CoV-2 testing, vaccinations or other measures. We estimate the total in Austria after end of pandemic (May 5, 2023, per WHO) up to May 2024 from wastewater data. Those estimates are used an agent-based model (ABM) average national levels infection protection (IP) and death (DP). Methods: use a previously published estimating extrapolate approach 2024....
Abstract Eminent in pandemic management is accurate information on infection dynamics to plan for timely installation of control measures and vaccination campaigns. Despite huge efforts clinical testing individuals, the underestimation actual number SARS-CoV-2 infections remains significant due large undocumented cases. In this paper we demonstrate compare three methods estimate true based secondary data i.e., a) test positivity b) fatality c) wastewater monitoring. The concept tested with...
Demand for mass surveillance during peak times of the SARS-CoV-2 pandemic caused high workload clinical laboratories. Efficient and cost conserving testing designs by means group can substantially reduce resources possible future emergency situations. The novel hypercube algorithm proposed Mutesa et al. 2021 published in Nature provides methodological proof concept points out applicability to epidemiological testing. In this work, is explored expanded settings with prevalence. Numerical...
Abstract Demand for mass surveillance during peak times of the SARS‑CoV‑2 pandemic caused high workload clinical laboratories. Efficient and cost conserving testing designs by means group can substantially reduce resources possible future emergency situations. The novel hypercube algorithm proposed Mutesa et al. 2021 published in Nature provides methodological proof concept points out applicability to epidemiological testing. In this work, is explored expanded settings with prevalence....