Amar Aganovic

Dr. Amar Aganovic

Department of Automation and Process Technology, UiT The Arctic University of Norway, Tromsø, Norway

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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7 July 2022 in Scientific Reports
Verified
Journal Article
Open access
PDF file
Amar AganovicAmar Aganovic
Amar Aganovic
YBYang Bi
Yang Bi
GCGuangyu Cao
Guangyu Cao
JKJarek Kurnitski
Jarek Kurnitski
PWPawel Wargocki
Pawel Wargocki
With a modified version of the Wells-Riley model, we simulated the size distribution and dynamics of five airborne viruses (measles, influenza, SARS-CoV-2, human rhinovirus, and adenovirus) emitted from a speaking person in a typical residential setting over a relative humidity (RH) range of 20–80% and air temperature of 20–25 °C. Besides the size transformation of virus-containing droplets due to evaporation, respiratory absorption, and then removal by gravitational settling, the modified model also considered the removal mechanism by ventilation. The trend and magnitude of RH impact depended on the respiratory virus. For rhinovirus and adenovirus humidifying the indoor air from 20/30 to 50% will be increasing the relative infection risk, however, this relative infection risk increase will be negligible for rhinovirus and weak for adenovirus. Humidification will have a potential benefit in decreasing the infection risk only for influenza when there is a large infection risk decrease for humidifying from 20 to 50%. Regardless of the dry solution composition, humidification will overall increase the infection risk via long-range airborne transmission of SARS-CoV-2. Compared to humidification at a constant ventilation rate, increasing the ventilation rate to moderate levels 0.5 → 2.0 h−1 will have a more beneficial infection risk decrease for all viruses except for influenza. Increasing the ventilation rate from low values of 0.5 h−1 to higher levels of 6 h−1 will have a dominating effect on reducing the infection risk regardless of virus type.

3 January 2019 in Indoor and Built Environment
Verified
Journal Article
Closed access
Amar AganovicAmar Aganovic
Amar Aganovic
GCGuangyu Cao
Guangyu Cao
Effective ventilation in general hospital wards is important for controlling the transmission of airborne infectious agents that may cause respiratory diseases. This study investigates the potential of protected occupied zone ventilation (POV) to reduce the risk of cross-infection in hospital isolation wards. Two life-size breathing thermal manikins were used to simulate an infected patient lying in a bed and a sitting, receiving health care worker. N 2 O was used as a tracer gas to simulate the droplet nuclei exhaled by patients. The contaminant exposure index ε e x p was used to assess the risk of cross-infection for different configurations of the supply velocity, the patient’s lying position and the exhaust openings. The contaminant exposure index   ( ε e x p ) shows that the ventilation strategy is effective, but this is also highly dependent on the supply velocity and the location of the exhaust relative to the patient’s breathing zone. The patient’s posterior position does not affect the personal exposure of the receiving patient. Compared to traditional ventilation systems, the POV system can reduce the risk of cross-infection in hospital isolation rooms. The full potential of a POV system can be achieved in an isolation ward where movement between the infected and protected zones is restricted or prohibited.

1 July 2021 in Journal of Hospital Infection
Verified
Journal Article
Open access
Amar AganovicAmar Aganovic
Amar Aganovic
GCG. Cao
G. Cao
TFT. Fecer
T. Fecer
BLB. Ljungqvist
B. Ljungqvist
BLB. Lytsy
B. Lytsy
RTR. Traversari
R. Traversari
Without confirmation of the ventilation design conditions (typology and airflow rate), the common practice of identifying unidirectional airflow (UDAF) systems as equivalent to ultra-clean air ventilation systems may be misleading, but also any claims about the ineffectiveness of UDAF systems should be doubted. The aim of this review was to assess and compare ventilation system design conditions for which ultra-clean air (mean <10 cfu/m3) within 50 cm from the wound has been reported. Six medical databases were systematically searched to identify and select studies reporting intraoperative airborne levels expressed as cfu/m3 close to the wound site, and ventilation system design conditions. Available data on confounding factors such as the number of persons present in the operating room, number of door openings, and clothing material were also included. Predictors for achieving mean airborne bacteria levels within <10 cfu/m3 were identified using a penalized multivariate logistic regression model. Twelve studies met the eligibility criteria and were included for analysis. UDAF systems considered had significantly higher air volume flows compared with turbulent ventilation (TV) systems considered. Ultra-clean environments were reported in all UDAF-ventilated (N = 7) rooms compared with four of 11 operating rooms equipped with TV. On multivariate analysis, the total number of air exchange rates (P=0.019; odds ratio (OR) 95% confidence interval (CI): 0.66-0.96) and type of clothing material (P=0.031; OR 95% CI: 0.01-0.71) were significantly associated with achieving mean levels of airborne bacteria <10 cfu/m3. High-volume UDAF systems complying with DIN 1946-4:2008 standards for the airflow rate and ceiling diffuser size unconditionally achieve ultra-clean air close to the wound site. In conclusion, the studied articles demonstrate that high-volume UDAF systems perform as ultra-clean air systems and are superior to TV systems in reducing airborne bacteria levels close to the wound site.

10 May 2023 in Frontiers in Microbiology
Verified
Journal Article
Open access
Amar AganovicAmar Aganovic
Amar Aganovic
The ongoing SARS-CoV-2 pandemic and the influenza epidemics have revived the interest in understanding how these highly contagious enveloped viruses respond to alterations in the physicochemical properties of their microenvironment. By understanding the mechanisms and conditions by which viruses exploit the pH environment of the host cell during endocytosis, we can gain a better understanding of how they respond to pH-regulated anti-viral therapies but also pH-induced changes in extracellular environments. This review provides a detailed explanation of the pH-dependent viral structural changes preceding and initiating viral disassembly during endocytosis for influenza A (IAV) and SARS coronaviruses. Drawing upon extensive literature from the last few decades and latest research, I analyze and compare the circumstances in which IAV and SARS-coronavirus can undertake endocytotic pathways that are pH-dependent. While there are similarities in the pH-regulated patterns leading to fusion, the mechanisms and pH activation differ. In terms of fusion activity, the measured activation pH values for IAV, across all subtypes and species, vary between approximately 5.0 to 6.0, while SARS-coronavirus necessitates a lower pH of 6.0 or less. The main difference between the pH-dependent endocytic pathways is that the SARS-coronavirus, unlike IAV, require the presence of specific pH-sensitive enzymes (cathepsin L) during endosomal transport. Conversely, the conformational changes in the IAV virus under acidic conditions in endosomes occur due to the specific envelope glycoprotein residues and envelope protein ion channels (viroporins) getting protonated by H+ ions. Despite extensive research over several decades, comprehending the pH-triggered conformational alterations of viruses still poses a significant challenge. The precise mechanisms of protonation mechanisms of certain during endosomal transport for both viruses remain incompletely understood. In absence of evidence, further research is needed.

1 November 2019 in Building and Environment
Verified
Journal Article
Closed access
Amar AganovicAmar Aganovic
Amar Aganovic
GCGuangyu Cao
Guangyu Cao
LSLiv-Inger Stenstad
Liv-Inger Stenstad
JSJan G. Skogås
Jan G. Skogås

5 April 2024 in Science of The Total Environment
Verified
Journal Article
Open access
Amar AganovicAmar Aganovic
Amar Aganovic
JKJarek Kurnitski
Jarek Kurnitski
PWPawel Wargocki
Pawel Wargocki
The Wells-Riley model is extensively used for retrospective and prospective modelling of the risk of airborne transmission of infection in indoor spaces. It is also used when examining the efficacy of various removal and deactivation methods for airborne infectious aerosols in the indoor environment, which is crucial when selecting the most effective infection control technologies. The problem is that the large variation in viral load between individuals makes the Wells-Riley model output very sensitive to the input parameters and may yield a flawed prediction of risk. The absolute infection risk estimated with this model can range from nearly 0 % to 100 % depending on the viral load, even when all other factors, such as removal mechanisms and room geometry, remain unchanged. We therefore propose a novel method that removes this sensitivity to viral load. We define a quanta-independent maximum absolute before-after difference in infection risk that is independent of quanta factors like viral load, physical activity, or the dose-response relationships. The input data needed for a non-steady-state calculation are just the removal rates, room volume, and occupancy duration. Under steady-state conditions the approach provides an elegant solution that is only dependent on removal mechanisms before and after applying infection control measures. We applied this method to compare the impact of relative humidity, ventilation rate and its effectiveness, filtering efficiency, and the use of ultraviolet germicidal irradiation on the infection risk. The results demonstrate that the method provides a comprehensive understanding of the impact of infection control strategies on the risk of airborne infection, enabling rational decisions to be made regarding the most effective strategies in a specific context. The proposed method thus provides a practical tool for the prediction and mitigation of airborne infection risk.