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  1. AU="van Veen, Linda"
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  1. Article ; Online: The multi-dimensional challenges of controlling respiratory virus transmission in indoor spaces: Insights from the linkage of a microscopic pedestrian simulation and SARS-CoV-2 transmission model.

    Atamer Balkan, Büsra / Chang, You / Sparnaaij, Martijn / Wouda, Berend / Boschma, Doris / Liu, Yangfan / Yuan, Yufei / Daamen, Winnie / de Jong, Mart C M / Teberg, Colin / Schachtschneider, Kevin / Sikkema, Reina S / van Veen, Linda / Duives, Dorine / Ten Bosch, Quirine A

    PLoS computational biology

    2024  Volume 20, Issue 3, Page(s) e1011956

    Abstract: SARS-CoV-2 transmission in indoor spaces, where most infection events occur, depends on the types and duration of human interactions, among others. Understanding how these human behaviours interface with virus characteristics to drive pathogen ... ...

    Abstract SARS-CoV-2 transmission in indoor spaces, where most infection events occur, depends on the types and duration of human interactions, among others. Understanding how these human behaviours interface with virus characteristics to drive pathogen transmission and dictate the outcomes of non-pharmaceutical interventions is important for the informed and safe use of indoor spaces. To better understand these complex interactions, we developed the Pedestrian Dynamics-Virus Spread model (PeDViS), an individual-based model that combines pedestrian behaviour models with virus spread models incorporating direct and indirect transmission routes. We explored the relationships between virus exposure and the duration, distance, respiratory behaviour, and environment in which interactions between infected and uninfected individuals took place and compared this to benchmark 'at risk' interactions (1.5 metres for 15 minutes). When considering aerosol transmission, individuals adhering to distancing measures may be at risk due to the buildup of airborne virus in the environment when infected individuals spend prolonged time indoors. In our restaurant case, guests seated at tables near infected individuals were at limited risk of infection but could, particularly in poorly ventilated places, experience risks that surpass that of benchmark interactions. Combining interventions that target different transmission routes can aid in accumulating impact, for instance by combining ventilation with face masks. The impact of such combined interventions depends on the relative importance of transmission routes, which is hard to disentangle and highly context dependent. This uncertainty should be considered when assessing transmission risks upon different types of human interactions in indoor spaces. We illustrated the multi-dimensionality of indoor SARS-CoV-2 transmission that emerges from the interplay of human behaviour and the spread of respiratory viruses. A modelling strategy that incorporates this in risk assessments can help inform policy makers and citizens on the safe use of indoor spaces with varying inter-human interactions.
    MeSH term(s) Humans ; SARS-CoV-2 ; COVID-19/prevention & control ; Pedestrians ; Respiratory Aerosols and Droplets ; Ventilation
    Language English
    Publishing date 2024-03-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2193340-6
    ISSN 1553-7358 ; 1553-734X
    ISSN (online) 1553-7358
    ISSN 1553-734X
    DOI 10.1371/journal.pcbi.1011956
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Met Groep DIB in een kar door de Oostvaardersplassen.

    van Veen, Linda

    Tijdschrift voor diergeneeskunde

    2006  Volume 131, Issue 23, Page(s) 899–900

    Title translation Group DIB in a cart through the Oostvaardersplassen, the Netherlands.
    MeSH term(s) Animal Welfare ; Animals ; Animals, Wild ; Birds ; Cattle ; Conservation of Natural Resources ; Deer ; Female ; Horses ; Male ; Netherlands ; Wolves
    Language Dutch
    Publishing date 2006-12-01
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 422558-2
    ISSN 0040-7453
    ISSN 0040-7453
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Verslag symposium aviaire influenza 'Dierenarts vogelvrij door vogelgriep?'

    van Veen, Linda

    Tijdschrift voor diergeneeskunde

    2004  Volume 129, Issue 21, Page(s) 733–734

    Title translation Report of the symposium on avian influenza. 'Veterinarians bird free due to avian influenza?'.
    MeSH term(s) Animals ; Birds ; Disease Outbreaks/prevention & control ; Disease Outbreaks/veterinary ; Feces/virology ; Humans ; Influenza in Birds/mortality ; Influenza in Birds/prevention & control ; Influenza in Birds/transmission ; Public Health ; Risk Factors ; Vaccination/veterinary ; Zoonoses
    Language Dutch
    Publishing date 2004-11-01
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 422558-2
    ISSN 0040-7453
    ISSN 0040-7453
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: DIB bezoekt collega Niels van Elk in Dolfinarium Harderwijk.

    van Veen, Linda

    Tijdschrift voor diergeneeskunde

    2003  Volume 128, Issue 21, Page(s) 664–665

    Title translation DIB (Veterinarians in Business) visits colleague Niels van Elk in Dolfinarium Hardewijk, the Netherlands.
    MeSH term(s) Animal Welfare ; Animals ; Animals, Zoo/physiology ; Dolphins/physiology ; Female ; Insemination, Artificial/veterinary ; Male ; Netherlands ; Reproduction
    Language Dutch
    Publishing date 2003-11-01
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 422558-2
    ISSN 0040-7453
    ISSN 0040-7453
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: The multi-dimensional challenges of controlling SARS-CoV-2 transmission in indoor spaces: Insights from the linkage of a microscopic pedestrian simulation and virus transmission models

    Duives, Dorine / Chang, You / Sparnaaij, Martijn / Wouda, Berend / Boschma, Doris / Liu, Yangfan / Yuan, Yufei / Daamen, Winnie / de Jong, Mart C.M. / Teberg, Colin / Schachtschneider, Kevin / Sikkema, Reina S / van Veen, Linda / ten Bosch, Quirine

    medRxiv

    Abstract: Since its introduction in December of 2019, SARS-CoV-2, the virus that causes COVID-19 disease, has rapidly spread across the world. Whilst vaccines are being rolled out, non-pharmaceutical interventions remain the most important tools for mitigating the ...

    Abstract Since its introduction in December of 2019, SARS-CoV-2, the virus that causes COVID-19 disease, has rapidly spread across the world. Whilst vaccines are being rolled out, non-pharmaceutical interventions remain the most important tools for mitigating the spread of SARS-CoV-2. Quantifying the impact of these measures as well as determining what settings are prone to instigating (super)spreading events is important for informed and safe reopening of spaces and the targeting of interventions. Mathematical models can help decipher the complex interactions that underlie virus transmission. Currently, most mathematical models developed during the COVID-19 epidemic evaluate interventions at national or subnational levels. Smaller scales of transmission, such as at the level of indoor spaces, have received less attention, despite the central role they play in both transmission and control. Models that do act on this scale use simplified descriptions of human behavior, impeding a valid quantitative analysis of the impact of interventions on transmission in indoor spaces, particularly those that aim for physical distancing. To more accurately predict the transmission of SARS-CoV-2 through a pedestrian environment, we introduce a model that links pedestrian movement and choice dynamics with SARS-CoV-2 spreading models. The objective of this paper is to investigate the spread of SARS-CoV-2 in indoor spaces as it arises from human interactions and assess the relative impact of non-pharmaceutical interventions thereon. We developed a world-wide unique combined Pedestrian Dynamics - Virus Spread model (PeDViS model), which combines insights from pedestrian modelling, epidemiology, and IT-design. In particular, an expert-driven activity assignment model is coupled with the microscopic simulation model (Nomad) and a virus spread model (QVEmod). We first describe the non-linear relationships between the risks of exposure to the virus and the duration, distance, and context of human interactions. We compared virus exposure relative to a benchmark contact (1.5meters for 15 minutes): a threshold often used by public health agencies to determine at risk contacts. We discuss circumstances under which individuals that adhere to common distancing measures may nevertheless be at risk. Specifically, we illustrate the stark increase in exposure at shorter distances, as well as longer contact durations. These risks increase when the infected individual was present in the space before the interaction occurred, as a result of buildup of virus in the environment. The latter is particularly true in poorly ventilated spaces and highlights the importance of good ventilation to prevent potential virus exposure through indirect transmission routes. Combining intervention tools that target different routes of transmission can aid in accumulating impact. We use face masks as an example, which are particularly effective at reducing virus spread that is not affected by ventilation. We then demonstrate the use of PeDViS using a simple restaurant case study, focussing on transmission between guests. In this setting the exposure risk to individuals that are not seated at the same table is limited, but guests seated at nearby tables are estimated to experience exposure risks that surpass that of the benchmark contact. These risks are larger in low ventilation scenarios. Lastly, we illustrate that the impact of intervention measures on the number of new infections heavily depends on the relative efficiency of the direct and indirect transmission routes considered. This uncertainty should be considered when assessing the risks of transmission upon different types of human interactions in indoor spaces. The PeDViS case study shows the multi-dimensionality of SARS-CoV-2 that emerges from the interplay of human behaviour and the spread of respiratory viruses in indoor spaces. A modelling strategy that incorporates this in risk assessments can be an important tool to inform policy makers and citizens. It can empower them to make better design and policy decisions pertaining to the most effective use of measures to limit the spread of SARS-CoV-2 and safely open up indoor spaces.
    Keywords covid19
    Language English
    Publishing date 2021-04-19
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2021.04.12.21255349
    Database COVID19

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