Networks and the ecology of parasite transmission: A framework for wildlife parasitology

Godfrey, Stephanie S.

doi:10.1016/j.ijppaw.2013.09.001

Cited by 117 publications

(133 citation statements)

References 123 publications

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“…Social network approaches are a common method in infectious disease ecology to document contact patterns among interacting individuals and for modelling the spread of pathogens [1][2][3][4][5][6]. In a network approach, the epidemiological units of infection (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…In a network approach, the epidemiological units of infection (e.g. individuals, herds, farms) are defined as nodes and inter-linked according to who is in contact with whom, where contact is assumed to represent transmission opportunities between the two nodes [2,3]. Theoretical work has repeatedly demonstrated that incorporating contact pattern heterogeneity into epidemiological models can substantially alter model predictions [6][7][8], while empirical studies show that network connectivity influences the risk of an individual acquiring an infection [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…which nodes are infected) to the network connectivity of those individuals [2,9,13,15,18]. The most common approach is to compare the connectivity of infected and uninfected individuals in the network.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating empirical contact networks as potential transmission pathways for infectious diseases

VanderWaal

Enns

Picasso

et al. 2016

J. R. Soc. Interface.

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Networks are often used to incorporate heterogeneity in contact patterns in mathematical models of pathogen spread. However, few tools exist to evaluate whether potential transmission pathways in a population are adequately represented by an observed contact network. Here, we describe a novel permutation-based approach, the network k-test, to determine whether the pattern of cases within the observed contact network are likely to have resulted from transmission processes in the network, indicating that the network represents potential transmission pathways between nodes. Using simulated data of pathogen spread, we compare the power of this approach to other commonly used analytical methods. We test the robustness of this technique across common sampling constraints, including undetected cases, unobserved individuals and missing interaction data. We also demonstrate the application of this technique in two case studies of livestock and wildlife networks. We show that the power of the k-test to correctly identify the epidemiologic relevance of contact networks is substantially greater than other methods, even when 50% of contact or case data are missing. We further demonstrate that the impact of missing data on network analysis depends on the structure of the network and the type of missing data.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluating empirical contact networks as potential transmission pathways for infectious diseases

VanderWaal

Enns

Picasso

et al. 2016

J. R. Soc. Interface.

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“…The behaviours that facilitate direct and indirect transmission can be very different; the former requires spatial and temporal co-occurrence and often a specific behavioural interaction, while indirect transmission can simply require spatial co-occurrence within a certain time window (Godfrey, 2013). This distinction can be particularly important when direct interactions among potential hosts are rare, which is likely to be the case for between-species transmission (Viana et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Quantifying direct and indirect contacts for the potential transmission of infection between species using a multilayer contact network

Silk

Drewe

Delahay

et al. 2018

Behav.

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Detecting opportunities for between-species transmission of pathogens can be challenging, particularly if rare behaviours or environmental transmission are involved. We present a multilayer network framework to quantify transmission potential in multi-host systems, incorporating environmental transmission, by using empirical data on direct and indirect contacts between European badgers Meles meles and domestic cattle. We identify that indirect contacts via the environment at badger latrines on pasture are likely to be important for transmission within badger populations and between badgers and cattle. We also find a positive correlation between the role of individual badgers within the badger social network, and their role in the overall badger-cattle-environment network, suggesting that the same behavioural traits contribute to the role of individual badgers in within-and between-species transmission. These findings have implications for disease management interventions in this system, and our novel network approach can provide general insights into transmission in other multi-host disease systems.

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“…In this sense, the interest in understanding disease transmission among wild and domestic animals, and between them and human population has grown, resulting in the emergence of the "one health approach", which aims to model the transmission of parasitic diseases [7,8]. Detection and transmission control constitute significant components to the overall management of many pathogen infections (including parasites).…”

Section: Introductionmentioning

confidence: 99%

Sensing parasites: Proteomic and advanced bio-detection alternatives

Sánchez-Ovejero

Benito‐Lopez

Díez

et al. 2016

Journal of Proteomics

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Journal of Proteomics 136 : 145-156 (2016) This work is made available online in accordance with publisher policies. To see the final version of this work please visit the publisher's website. Access to the published online version may require a subscription. This review provides the most recent methodological and technological advances with great potential for bio-sensing parasites in their hosts, showing the newest opportunities offered by modern "-omics" and platforms for parasite detection and control. Link to publisher's version

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Networks and the ecology of parasite transmission: A framework for wildlife parasitology

Abstract: Graphical abstract

Cited by 117 publications

References 123 publications

Evaluating empirical contact networks as potential transmission pathways for infectious diseases

Evaluating empirical contact networks as potential transmission pathways for infectious diseases

Quantifying direct and indirect contacts for the potential transmission of infection between species using a multilayer contact network

Sensing parasites: Proteomic and advanced bio-detection alternatives

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