LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 231

Search options

  1. Article: Predicting Covid-19 pandemic waves with biologically and behaviorally informed universal differential equations.

    Kuwahara, Bruce / Bauch, Chris T

    Heliyon

    2024  Volume 10, Issue 4, Page(s) e25363

    Abstract: During the COVID-19 pandemic, it became clear that pandemic waves and population responses were locked in a mutual feedback loop in a classic example of a coupled behavior-disease system. We demonstrate for the first time that universal differential ... ...

    Abstract During the COVID-19 pandemic, it became clear that pandemic waves and population responses were locked in a mutual feedback loop in a classic example of a coupled behavior-disease system. We demonstrate for the first time that universal differential equation (UDE) models are able to extract this interplay from data. We develop a UDE model for COVID-19 and test its ability to make predictions of second pandemic waves. We find that UDEs are capable of learning coupled behavior-disease dynamics and predicting second waves in a variety of populations, provided they are supplied with learning biases describing simple assumptions about disease transmission and population response. Though not yet suitable for deployment as a policy-guiding tool, our results demonstrate potential benefits, drawbacks, and useful techniques when applying universal differential equations to coupled systems.
    Language English
    Publishing date 2024-02-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e25363
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Estimating the COVID-19 R number: a bargain with the devil?

    Bauch, Chris T

    The Lancet. Infectious diseases

    2020  Volume 21, Issue 2, Page(s) 151–153

    MeSH term(s) Basic Reproduction Number ; COVID-19/epidemiology ; Humans ; Personal Protective Equipment ; Physical Distancing ; Quarantine
    Language English
    Publishing date 2020-10-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2061641-7
    ISSN 1474-4457 ; 1473-3099
    ISSN (online) 1474-4457
    ISSN 1473-3099
    DOI 10.1016/S1473-3099(20)30840-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: Reply to Dablander and Bury: Dealing with the unknown unknowns of deep learning.

    Bauch, Chris T / Anand, Madhur

    Proceedings of the National Academy of Sciences of the United States of America

    2022  Volume 119, Issue 37, Page(s) e2210407119

    Language English
    Publishing date 2022-08-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2210407119
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Estimating the COVID-19 R number

    Bauch, Chris T

    The Lancet Infectious Diseases ; ISSN 1473-3099

    a bargain with the devil?

    2020  

    Keywords Infectious Diseases ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    DOI 10.1016/s1473-3099(20)30840-9
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  5. Article ; Online: Network structural metrics as early warning signals of widespread vaccine refusal in social-epidemiological networks.

    Phillips, Brendon / Bauch, Chris T

    Journal of theoretical biology

    2021  Volume 531, Page(s) 110881

    Abstract: Sudden shifts in vaccine uptake, vaccine opinion, and infection incidence can occur in coupled behaviour-disease systems going through a bifurcation as the perceived risk of the vaccine increases. Literature shows that such regime shifts are sometimes ... ...

    Abstract Sudden shifts in vaccine uptake, vaccine opinion, and infection incidence can occur in coupled behaviour-disease systems going through a bifurcation as the perceived risk of the vaccine increases. Literature shows that such regime shifts are sometimes foreshadowed by early warning signals (EWS). We propose and compare the performance of various measures of network structure as potential EWS indicators of epidemics and changes in population vaccine opinion. We construct a multiplex model coupling transmission of a vaccine-preventable childhood infectious disease and social dynamics concerning vaccine opinion. We find that the modularity of pro- and anti-vaccine network communities perform well as EWS, as do several measures of the number and size of opinion-based communities, and the size of pro-vaccine echo chambers. The number of opinion changes also gives early warnings, although the clustering coefficient and metrics concerning anti-vaccine echo chambers provide little warning. Stronger social norms are found to compromise the ability of all EWS metrics to provide advance warning. These exploratory results suggest that EWS indicators based on the network structure of online social media communities might assist public health preparedness by providing early warning of potential regime shifts.
    MeSH term(s) Benchmarking ; Child ; Cluster Analysis ; Epidemics ; Humans ; Social Networking ; Vaccination Refusal
    Language English
    Publishing date 2021-08-25
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2972-5
    ISSN 1095-8541 ; 0022-5193
    ISSN (online) 1095-8541
    ISSN 0022-5193
    DOI 10.1016/j.jtbi.2021.110881
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Book ; Online: Estimating the COVID-19 R number

    Bauch, Chris T.

    a bargain with the devil?

    2020  

    Abstract: The basic reproduction number R0 is the average number of infections produced by a single infectious person in a population with no immunity. R0 has a close relative named the effective reproduction number R: the average number of infections produced by ... ...

    Abstract The basic reproduction number R0 is the average number of infections produced by a single infectious person in a population with no immunity. R0 has a close relative named the effective reproduction number R: the average number of infections produced by a single infected person in a population with partial immunity. In The Lancet Infectious Diseases2, Li and colleagues estimate how the imposition and lifting of non-pharmaceutical interventions (NPIs) changed the R number for SARS-CoV-2 in 131 countries in the first half of 2020.
    Keywords COVID-19 ; pandemic mitigation ; mathematical modelling ; basic reproduction number ; covid19
    Language English
    Publishing date 2020-10-22
    Publisher Elsevier
    Publishing country ca
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  7. Article ; Online: COVID-19: when should quarantine be enforced?

    Bauch, Chris T / Anand, Madhur

    The Lancet. Infectious diseases

    2020  Volume 20, Issue 9, Page(s) 994–995

    MeSH term(s) Betacoronavirus ; COVID-19 ; Coronavirus Infections/epidemiology ; Humans ; Pandemics ; Pneumonia, Viral/epidemiology ; Quarantine ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-05-20
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2061641-7
    ISSN 1474-4457 ; 1473-3099
    ISSN (online) 1474-4457
    ISSN 1473-3099
    DOI 10.1016/S1473-3099(20)30428-X
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: Local Overfishing Patterns Have Regional Effects on Health of Coral, and Economic Transitions Can Promote Its Recovery.

    Milne, Russell / Bauch, Chris T / Anand, Madhur

    Bulletin of mathematical biology

    2022  Volume 84, Issue 4, Page(s) 46

    Abstract: Overfishing has the potential to severely disrupt coral reef ecosystems worldwide, while harvesting at more sustainable levels instead can boost fish yield without damaging reefs. The dispersal abilities of reef species mean that coral reefs form highly ... ...

    Abstract Overfishing has the potential to severely disrupt coral reef ecosystems worldwide, while harvesting at more sustainable levels instead can boost fish yield without damaging reefs. The dispersal abilities of reef species mean that coral reefs form highly connected environments, and the viability of reef fish populations depends on spatially explicit processes such as the spillover effect and unauthorized harvesting inside marine protected areas. However, much of the literature on coral conservation and management has only examined overfishing on a local scale, without considering how different spatial patterns of fishing levels can affect reef health both locally and regionally. Here, we simulate a coupled human-environment model to determine how coral and herbivorous reef fish respond to overfishing across multiple spatial scales. We find that coral and reef fish react in opposite ways to habitat fragmentation driven by overfishing, and that a potential spillover effect from marine protected areas into overfished patches helps coral populations far less than it does reef fish. We also show that ongoing economic transitions from fishing to tourism have the potential to revive fish and coral populations over a relatively short timescale, and that large-scale reef recovery is possible even if these transitions only occur locally. Our results show the importance of considering spatial dynamics in marine conservation efforts and demonstrate the ability of economic factors to cause regime shifts in human-environment systems.
    MeSH term(s) Animals ; Anthozoa ; Conservation of Natural Resources ; Coral Reefs ; Ecosystem ; Fisheries ; Fishes ; Mathematical Concepts ; Models, Biological
    Language English
    Publishing date 2022-02-19
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 184905-0
    ISSN 1522-9602 ; 0007-4985 ; 0092-8240
    ISSN (online) 1522-9602
    ISSN 0007-4985 ; 0092-8240
    DOI 10.1007/s11538-022-01000-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: Modelling coupled human-environment complexity for the future of the biosphere: strengths, gaps and promising directions.

    Farahbakhsh, Isaiah / Bauch, Chris T / Anand, Madhur

    Philosophical transactions of the Royal Society of London. Series B, Biological sciences

    2022  Volume 377, Issue 1857, Page(s) 20210382

    Abstract: Humans and the environment form a single complex system where humans not only influence ecosystems but also react to them. Despite this, there are far fewer coupled human-environment system (CHES) mathematical models than models of uncoupled ecosystems. ... ...

    Abstract Humans and the environment form a single complex system where humans not only influence ecosystems but also react to them. Despite this, there are far fewer coupled human-environment system (CHES) mathematical models than models of uncoupled ecosystems. We argue that these coupled models are essential to understand the impacts of social interventions and their potential to avoid catastrophic environmental events and support sustainable trajectories on multi-decadal timescales. A brief history of CHES modelling is presented, followed by a review spanning recent CHES models of systems including forests and land use, coral reefs and fishing and climate change mitigation. The ability of CHES modelling to capture dynamic two-way feedback confers advantages, such as the ability to represent ecosystem dynamics more realistically at longer timescales, and allowing insights that cannot be generated using ecological models. We discuss examples of such key insights from recent research. However, this strength brings with it challenges of model complexity and tractability, and the need for appropriate data to parameterize and validate CHES models. Finally, we suggest opportunities for CHES models to improve human-environment sustainability in future research spanning topics such as natural disturbances, social structure, social media data, model discovery and early warning signals. This article is part of the theme issue 'Ecological complexity and the biosphere: the next 30 years'.
    MeSH term(s) Climate Change ; Conservation of Natural Resources ; Coral Reefs ; Ecosystem ; Forests ; Humans ; Models, Theoretical
    Language English
    Publishing date 2022-06-27
    Publishing country England
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 208382-6
    ISSN 1471-2970 ; 0080-4622 ; 0264-3839 ; 0962-8436
    ISSN (online) 1471-2970
    ISSN 0080-4622 ; 0264-3839 ; 0962-8436
    DOI 10.1098/rstb.2021.0382
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article ; Online: Stochasticity-induced persistence in coupled social-ecological systems.

    Jnawali, Kamal / Anand, Madhur / Bauch, Chris T

    Journal of theoretical biology

    2022  Volume 542, Page(s) 111088

    Abstract: Stochasticity is often associated with negative consequences for population dynamics since a population may die out due to random chance during periods when population size is very low (stochastic fade-out). Here we develop a coupled social-ecological ... ...

    Abstract Stochasticity is often associated with negative consequences for population dynamics since a population may die out due to random chance during periods when population size is very low (stochastic fade-out). Here we develop a coupled social-ecological model based on stochastic differential equations that includes natural expansion and harvesting of a forest ecosystem, and dynamics of conservation opinions, social norms and social learning in a human population. Our objective was to identify mechanisms that influence long-term persistence of the forest ecosystem in the presence of noise. We found that most of the model parameters had a significant influence on the time to extinction of the forest ecosystem. Increasing the social learning rate and the net benefits of conservation significantly increased the time to extinction, for instance. Most interestingly, we found a parameter regime where an increase in the amount of system stochasticity caused an increase in the mean time to extinction, instead of causing stochastic fade-out. This effect occurs for a subset of realizations, but the effect is large enough to increase the mean time to extinction across all realizations. Such "stochasticity-induced persistence" occurs when stochastic dynamics in the social system generates benefits in the forest system at crucial points in its temporal dynamics. We conclude that studying relatively simple social-ecological models has the benefit of facilitating characterization of dynamical states and thereby enabling us to formulate new hypothesis about mechanisms that could be operating in empirical social-ecological systems.
    MeSH term(s) Ecosystem ; Forests ; Humans ; Models, Biological ; Models, Theoretical ; Population Dynamics ; Stochastic Processes
    Language English
    Publishing date 2022-03-23
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2972-5
    ISSN 1095-8541 ; 0022-5193
    ISSN (online) 1095-8541
    ISSN 0022-5193
    DOI 10.1016/j.jtbi.2022.111088
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top