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  1. Article ; Online: Predicting the virulence of future emerging zoonotic viruses.

    Alizon, Samuel

    PLoS biology

    2023  Volume 21, Issue 9, Page(s) e3002286

    Abstract: Would you rather kiss a platypus, a hedgehog, or a llama? According to a new study in this issue of PLOS Biology, the virulence of a zoonotic virus in humans depends on its reservoir host. Could physiology be the key to anticipating viral threats ... ...

    Abstract Would you rather kiss a platypus, a hedgehog, or a llama? According to a new study in this issue of PLOS Biology, the virulence of a zoonotic virus in humans depends on its reservoir host. Could physiology be the key to anticipating viral threats lethality?
    MeSH term(s) Humans ; Animals ; Virulence
    Language English
    Publishing date 2023-09-08
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 2126776-5
    ISSN 1545-7885 ; 1544-9173
    ISSN (online) 1545-7885
    ISSN 1544-9173
    DOI 10.1371/journal.pbio.3002286
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Treating symptomatic infections and the co-evolution of virulence and drug resistance.

    Alizon, Samuel

    Peer community journal

    2023  Volume 1, Page(s) e47

    Abstract: Antimicrobial therapeutic treatments are by definition applied after the onset of symptoms, which tend to correlate with infection severity. Using mathematical epidemiology models, I explore how this link affects the coevolutionary dynamics between the ... ...

    Abstract Antimicrobial therapeutic treatments are by definition applied after the onset of symptoms, which tend to correlate with infection severity. Using mathematical epidemiology models, I explore how this link affects the coevolutionary dynamics between the virulence of an infection, measured via host mortality rate, and its susceptibility to chemotherapy. I show that unless resistance pre-exists in the population, drug-resistant infections are initially more virulent than drug-sensitive ones. As the epidemic unfolds, virulence is more counter-selected in drug-sensitive than in drug-resistant infections. This difference decreases over time and, eventually, the exact shape of genetic trade-offs govern long-term evolutionary dynamics. Using adaptive dynamics, I show that two types of evolutionary stable strategies (ESS) may be reached in the context of this simple model and that, depending on the parameter values, an ESS may only be locally stable. In general, the more the treatment rate increases with virulence, the lower the ESS value. Overall, both on the short-term and long-term, having treatment rate depend on infection virulence tend to favour less virulent strains in drug-sensitive infections. These results highlight the importance of the feedbacks between epidemiology, public health policies and parasite evolution, and have implications for the monitoring of virulence evolution.
    Language English
    Publishing date 2023-10-26
    Publishing country France
    Document type Journal Article
    ISSN 2804-3871
    ISSN (online) 2804-3871
    DOI 10.24072/pcjournal.38
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Multiple infection theory rather than 'socio-virology'? A commentary on Leeks et al. 2023.

    Alizon, Samuel

    Journal of evolutionary biology

    2023  Volume 36, Issue 11, Page(s) 1571–1576

    MeSH term(s) Onions ; Cooperative Behavior ; Genetic Fitness ; Biological Evolution
    Language English
    Publishing date 2023-11-17
    Publishing country Switzerland
    Document type Journal Article ; Comment
    ZDB-ID 1465318-7
    ISSN 1420-9101 ; 1010-061X
    ISSN (online) 1420-9101
    ISSN 1010-061X
    DOI 10.1111/jeb.14245
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Superspreading genomes.

    Alizon, Samuel

    Science (New York, N.Y.)

    2021  Volume 371, Issue 6529, Page(s) 574–575

    MeSH term(s) Boston ; COVID-19 ; Humans ; Phylogeny ; SARS-CoV-2
    Language English
    Publishing date 2021-02-04
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 128410-1
    ISSN 1095-9203 ; 0036-8075
    ISSN (online) 1095-9203
    ISSN 0036-8075
    DOI 10.1126/science.abg0100
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Treating symptomatic infections and the co-evolution of virulence and drug resistance

    Alizon, Samuel

    Peer Community Journal, Vol 1, Iss , Pp - (2021)

    2021  

    Abstract: Antimicrobial therapeutic treatments are by definition applied after the onset of symptoms, which tend to correlate with infection severity. Using mathematical epidemiology models, I explore how this link affects the coevolutionary dynamics between the ... ...

    Abstract Antimicrobial therapeutic treatments are by definition applied after the onset of symptoms, which tend to correlate with infection severity. Using mathematical epidemiology models, I explore how this link affects the coevolutionary dynamics between the virulence of an infection, measured via host mortality rate, and its susceptibility to chemotherapy. I show that unless resistance pre-exists in the population, drug-resistant infections are initially more virulent than drug-sensitive ones. As the epidemic unfolds, virulence is more counter-selected in drug-sensitive than in drug-resistant infections. This difference decreases over time and, eventually, the exact shape of genetic trade-offs govern long-term evolutionary dynamics. Using adaptive dynamics, I show that two types of evolutionary stable strategies (ESS) may be reached in the context of this simple model and that, depending on the parameter values, an ESS may only be locally stable. In general, the more the treatment rate increases with virulence, the lower the ESS value. Overall, both on the short-term and long-term, having treatment rate depend on infection virulence tend to favour less virulent strains in drug-sensitive infections. These results highlight the importance of the feedbacks between epidemiology, public health policies and parasite evolution, and have implications for the monitoring of virulence evolution.
    Keywords Archaeology ; CC1-960 ; Science ; Q
    Language English
    Publishing date 2021-11-01T00:00:00Z
    Publisher Peer Community In
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Inexpensive Research in the Golden Open-Access Era.

    Alizon, Samuel

    Trends in ecology & evolution

    2018  Volume 33, Issue 5, Page(s) 301–303

    Abstract: The financial pressure that publishers impose on libraries is a worldwide concern. Gold open-access publishing with an expensive article-processing charge paid by the authors is often presented as an ideal solution to this problem. However, such a system ...

    Abstract The financial pressure that publishers impose on libraries is a worldwide concern. Gold open-access publishing with an expensive article-processing charge paid by the authors is often presented as an ideal solution to this problem. However, such a system threatens less-funded departments and even article quality.
    MeSH term(s) Access to Information ; Open Access Publishing/economics ; Open Access Publishing/trends
    Language English
    Publishing date 2018-04-03
    Publishing country England
    Document type Journal Article
    ZDB-ID 284965-3
    ISSN 1872-8383 ; 0169-5347
    ISSN (online) 1872-8383
    ISSN 0169-5347
    DOI 10.1016/j.tree.2018.02.005
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Reconstructing contact network structure and cross-immunity patterns from multiple infection histories.

    Selinger, Christian / Alizon, Samuel

    PLoS computational biology

    2021  Volume 17, Issue 9, Page(s) e1009375

    Abstract: Interactions within a population shape the spread of infectious diseases but contact patterns between individuals are difficult to access. We hypothesised that key properties of these patterns can be inferred from multiple infection data in longitudinal ... ...

    Abstract Interactions within a population shape the spread of infectious diseases but contact patterns between individuals are difficult to access. We hypothesised that key properties of these patterns can be inferred from multiple infection data in longitudinal follow-ups. We developed a simulator for epidemics with multiple infections on networks and analysed the resulting individual infection time series by introducing similarity metrics between hosts based on their multiple infection histories. We find that, depending on infection multiplicity and network sampling, multiple infection summary statistics can recover network properties such as degree distribution. Furthermore, we show that by mining simulation outputs for multiple infection patterns, one can detect immunological interference between pathogens (i.e. the fact that past infections in a host condition future probability of infection). The combination of individual-based simulations and analysis of multiple infection histories opens promising perspectives to infer and validate transmission networks and immunological interference for infectious diseases from longitudinal cohort data.
    MeSH term(s) Algorithms ; Cohort Studies ; Communicable Diseases/epidemiology ; Communicable Diseases/immunology ; Communicable Diseases/transmission ; Computational Biology ; Computer Simulation ; Epidemics/statistics & numerical data ; Genetic Variation ; Genotype ; Host-Parasite Interactions/genetics ; Host-Parasite Interactions/immunology ; Host-Pathogen Interactions/genetics ; Host-Pathogen Interactions/immunology ; Humans ; Longitudinal Studies ; Models, Biological ; Models, Immunological ; Stochastic Processes
    Language English
    Publishing date 2021-09-15
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2193340-6
    ISSN 1553-7358 ; 1553-734X
    ISSN (online) 1553-7358
    ISSN 1553-734X
    DOI 10.1371/journal.pcbi.1009375
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: SARS-CoV-2 virulence evolution: Avirulence theory, immunity and trade-offs.

    Alizon, Samuel / Sofonea, Mircea T

    Journal of evolutionary biology

    2021  Volume 34, Issue 12, Page(s) 1867–1877

    Abstract: The COVID-19 pandemic has led to a resurgence of the debate on whether host-parasite interactions should evolve towards avirulence. In this review, we first show that SARS-CoV-2 virulence is evolving, before explaining why some expect the mortality ... ...

    Abstract The COVID-19 pandemic has led to a resurgence of the debate on whether host-parasite interactions should evolve towards avirulence. In this review, we first show that SARS-CoV-2 virulence is evolving, before explaining why some expect the mortality caused by the epidemic to converge towards that of human seasonal alphacoronaviruses. Leaning on existing theory, we then include viral evolution into the picture and discuss hypotheses explaining why the virulence has increased since the beginning of the pandemic. Finally, we mention some potential scenarios for the future.
    MeSH term(s) COVID-19 ; Host-Parasite Interactions ; Humans ; Pandemics ; SARS-CoV-2 ; Virulence
    Language English
    Publishing date 2021-07-17
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 1465318-7
    ISSN 1420-9101 ; 1010-061X
    ISSN (online) 1420-9101
    ISSN 1010-061X
    DOI 10.1111/jeb.13896
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Can we eradicate viral pathogens?

    Alizon, Samuel / Turner, Paul E

    Journal of evolutionary biology

    2021  Volume 34, Issue 12, Page(s) 1851–1854

    Language English
    Publishing date 2021-12-14
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 1465318-7
    ISSN 1420-9101 ; 1010-061X
    ISSN (online) 1420-9101
    ISSN 1010-061X
    DOI 10.1111/jeb.13958
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Anticipating COVID-19 intensive care unit capacity strain: A look back at epidemiological projections in France.

    Sofonea, Mircea T / Alizon, Samuel

    Anaesthesia, critical care & pain medicine

    2021  Volume 40, Issue 4, Page(s) 100943

    MeSH term(s) COVID-19 ; Forecasting ; France/epidemiology ; Humans ; Intensive Care Units ; SARS-CoV-2
    Language English
    Publishing date 2021-09-03
    Publishing country France
    Document type Editorial
    ISSN 2352-5568
    ISSN (online) 2352-5568
    DOI 10.1016/j.accpm.2021.100943
    Database MEDical Literature Analysis and Retrieval System OnLINE

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