Antibiotic resistance as collateral damage: The tragedy of the commons in a two-disease setting

Gao, Daozhou; Lietman, Thomas M.; Porco, Travis C.

doi:10.1016/j.mbs.2015.02.007

Cited by 12 publications

(10 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Under both treatment strategies, it is shown that for model (2.1) with the restriction (H) the uninfected population is always increased by choosing a higher treatment rate; this differs from the two-disease model we studied in [17]. …”

Section: Noninteracting Transmissionmentioning

confidence: 81%

“…In our model, there are four epidemiological classes: susceptible to both diseases, susceptible to disease 2 but infectious for disease 1, susceptible to disease 1 but infectious for disease 2, and infectious for both diseases. It is a simplified version of the two-disease three-strain model in Gao et al [17] in which the first disease exhibits both drug sensitive and resistant strains. The cotransmission dynamics of two diseases modeled as a SIS process is of interest as a simplified model of, for instance, ocular chlamydia [33, 32, 34] and respiratory pneumococcal colonization [36].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Coinfection dynamics of two diseases in a single host population

Gao¹,

Porco²,

Ruan³

2016

Journal of Mathematical Analysis and Applications

Self Cite

View full text Add to dashboard Cite

A susceptible-infectious-susceptible (SIS) epidemic model that describes the coinfection and cotransmission of two infectious diseases spreading through a single population is studied. The host population consists of two subclasses: susceptible and infectious, and the infectious individuals are further divided into three subgroups: those infected by the first agent/pathogen, the second agent/pathogen, and both. The basic reproduction numbers for all cases are derived which completely determine the global stability of the system if the presence of one agent/pathogen does not affect the transmission of the other. When the constraint on the transmissibility of the dually infected hosts is removed, we introduce the invasion reproduction number, compare it with two other types of reproduction number and show the uniform persistence of both diseases under certain conditions. Numerical simulations suggest that the system can display much richer dynamics such as backward bifurcation, bistability and Hopf bifurcation.

show abstract

Section: Noninteracting Transmissionmentioning

confidence: 81%

Section: Discussionmentioning

confidence: 99%

Coinfection dynamics of two diseases in a single host population

Gao¹,

Porco²,

Ruan³

2016

Journal of Mathematical Analysis and Applications

Self Cite

View full text Add to dashboard Cite

show abstract

“…uk/downloads/CS47131-NHSNHCCG-Antibiotic-Guidelines-2018-WHOLE-PRF5.pdf?fbclid¼IwAR2M_ACCx2G17VvvYwwZkJiss6KhOjDLt4w0wTFIBWFRxOkg71OvK6rZw3M. 7 Public Health England. Start Smart Then Focus Appendix 1.…”

Section: Use Social and Reputationalmentioning

confidence: 99%

Optimizing antibiotic prescribing: collective approaches to managing a common-pool resource

Tarrant

Colman

Chattoe-Brown

et al. 2019

Clinical Microbiology and Infection

View full text Add to dashboard Cite

Background: Antimicrobial resistance (AMR) is one of the greatest threats in 21st century medicine. AMR has been characterized as a social dilemma. A familiar version describes the situation in which a collective resource (in this case, antibiotic efficacy) is exhausted due to over-exploitation. The dilemma arises because individuals are motivated to maximize individual payoffs, although the collective outcome is worse if all act in this way. Objectives: We aim to outline the implications for antimicrobial stewardship of characterizing antibiotic overuse as a social dilemma. Sources: We conducted a narrative review of the literature on interventions to promote the conservation of resources in social dilemmas. Content: The social dilemma of antibiotic over-use is complicated by the lack of visibility and imminence of AMR, a loose coupling between individual actions and the outcome of AMR, and the agency relationships inherent in the prescriber role. We identify seven strategies for shifting prescriber behaviour and promoting a focus on the collectively desirable outcome of conservation of antibiotic efficacy: (1) establish clearly defined boundaries and access rights; (2) raise the visibility and imminence of the problem; (3) enable collective choice arrangements; (4) conduct behaviour-based monitoring; (5) use social and reputational incentives and sanctions; (6) address misalignment of goals and incentives; and (7) provide conflict resolution mechanisms. Implications: We conclude that this theoretic analysis of antibiotic stewardship could make the problem of optimizing antibiotic prescribing more tractable, providing a theory base for intervention development.

show abstract

“…Variations of the term proportion in this subset include 'fraction', 'frequency', or 'prevalence' of resistance; likewise, variants of the term resistant patients including 'colonisation with resistant bacteria', 'resistant infections' or 'resistant strains' were assigned to this outcome category. Additional outcomes of interest include the likelihood of and/or time to resistance emergence or extinction [ Macrolides - [82,84,93] Erythromycin [90,103] Mixed infections Carbapenems Ertapenem [35,88] Penicillins Piperacillin [35,88] (Continued ) 2020 D. E. Ramsay et al…”

Section: Model Output and Validationmentioning

confidence: 99%

Application of dynamic modelling techniques to the problem of antibacterial use and resistance: a scoping review

et al. 2018

View full text Add to dashboard Cite

Selective pressure exerted by the widespread use of antibacterial drugs is accelerating the development of resistant bacterial populations. The purpose of this scoping review was to summarise the range of studies that use dynamic models to analyse the problem of bacterial resistance in relation to antibacterial use in human and animal populations. A comprehensive search of the peer-reviewed literature was performed and non-duplicate articles (n = 1486) were screened in several stages. Charting questions were used to extract information from the articles included in the final subset (n = 81). Most studies (86%) represent the system of interest with an aggregate model; individual-based models are constructed in only seven articles. There are few examples of inter-host models outside of human healthcare (41%) and community settings (38%). Resistance is modelled for a non-specific bacterial organism and/or antibiotic in 40% and 74% of the included articles, respectively. Interventions with implications for antibacterial use were investigated in 67 articles and included changes to total antibiotic consumption, strategies for drug management and shifts in category/class use. The quality of documentation related to model assumptions and uncertainty varies considerably across this subset of articles. There is substantial room to improve the transparency of reporting in the antibacterial resistance modelling literature as is recommended by best practice guidelines.

show abstract

Antibiotic resistance as collateral damage: The tragedy of the commons in a two-disease setting

Cited by 12 publications

References 47 publications

Coinfection dynamics of two diseases in a single host population

Coinfection dynamics of two diseases in a single host population

Optimizing antibiotic prescribing: collective approaches to managing a common-pool resource

Application of dynamic modelling techniques to the problem of antibacterial use and resistance: a scoping review

Contact Info

Product

Resources

About