scholarly journals Network Models: An Underutilized Tool in Wildlife Epidemiology?

2011 ◽  
Vol 2011 ◽  
pp. 1-12 ◽  
Author(s):  
Meggan E. Craft ◽  
Damien Caillaud

Although the approach of contact network epidemiology has been increasing in popularity for studying transmission of infectious diseases in human populations, it has generally been an underutilized approach for investigating disease outbreaks in wildlife populations. In this paper we explore the differences between the type of data that can be collected on human and wildlife populations, provide an update on recent advances that have been made in wildlife epidemiology by using a network approach, and discuss why networks might have been underutilized and why networks could and should be used more in the future. We conclude with ideas for future directions and a call for field biologists and network modelers to engage in more cross-disciplinary collaboration.

2016 ◽  
Author(s):  
Rosemary M. McCloskey ◽  
Richard H. Liang ◽  
Art F.Y. Poon

AbstractModels of the spread of disease in a population often make the simplifying assumption that the population is homogeneously mixed, or is divided into homogeneously mixed compartments. However, human populations have complex structures formed by social contacts, which can have a significant influence on the rate of epidemic spread. Contact network models capture this structure by explicitly representing each contact which could possibly lead to a transmission. We developed a method based on kernel approximate Bayesian computation (kernel-ABC) for estimating structural parameters of the contact network underlying an observed viral phylogeny. The method combines adaptive sequential Monte Carlo for ABC, Gillespie simulation for propagating epidemics though networks, and a kernel-based tree similarity score. We used the method to fit the Barabási-Albert network model to simulated transmission trees, and also applied it to viral phylogenies estimated from five published HIV sequence datasets. On simulated data, we found that the preferential attachment power and the number of infected nodes in the network can often be accurately estimated. On the other hand, the mean degree of the network, as well as the total number of nodes, were not estimable with kernel-ABC. We observed substantial heterogeneity in the parameter estimates on real datasets, with point estimates for the preferential attachment power ranging from 0.06 to 1.05. These results underscore the importance of considering contact structures when performing phylodynamic inference. Our method offers the potential to quantitatively investigate the contact network structure underlying viral epidemics.


2020 ◽  
Vol 26 ◽  
Author(s):  
Emir Muzurović ◽  
Zoja Stanković ◽  
Zlata Kovačević ◽  
Benida Šahmanović Škrijelj ◽  
Dimitri P Mikhailidis

: Diabetes mellitus (DM) is a chronic and complex metabolic disorder, and also an important cause of cardiovascular (CV) diseases (CVDs). Subclinical inflammation, observed in patients with type 2 DM (T2DM), cannot be considered the sole or primary cause of T2DM in the absence of classical risk factors, but it represents an important mechanism that serves as a bridge between primary causes of T2DM and its manifestation. Progress has been made in the identification of effective strategies to prevent or delay the onset of T2DM. It is important to identify those at increased risk for DM by using specific biomarkers. Inflammatory markers correlate with insulin resistance (IR) and glycoregulation in patients with DM. Also, several inflammatory markers have been shown to be useful in assessing the risk of developing DM and its complications. However, the intertwining of pathophysiological processes and the not-quite-specificity of inflammatory markers for certain clinical entities limits their practical use. In this review we consider the advantages and disadvantages of various inflammatory biomarkers of DM that have been investigated to date as well as possible future directions. Key features of such biomarkers should be high specificity, non-invasiveness and cost-effectiveness.


1987 ◽  
Vol 18 (2) ◽  
pp. 235-249 ◽  
Author(s):  
Karl L. Hutterer

The purpose of the present essay is not to present a history of Philippine archaeology; several preliminary attempts have been made in this regard which may be consulted. Rather, the aim of this paper is to pause for a moment and look across the landscape of Philippine archaeology to assess what has been accomplished to date, to ponder strength and weaknesses of the field at this time, and to consider future directions. Nevertheless, the shape of any landscape is the result of historical events and processes that need to be taken into account if we want to understand its present form and assess its future potential and development. Thus, it will be necessary to include in the following thoughts historical perspectives which will help to explain how and why certain concepts, methods and research practices arose in the context of Philippine archaeology and came to determine our picture of Philippine prehistory.


2022 ◽  
pp. 115205
Author(s):  
Xie Li ◽  
Sonya A Brown ◽  
Mathew Joosten ◽  
Garth M. Pearce

MRS Bulletin ◽  
2004 ◽  
Vol 29 (6) ◽  
pp. 376-384 ◽  
Author(s):  
Cherie R. Kagan ◽  
Mark A. Ratner

AbstractThis issue of MRS Bulletin on molecular transport junctions highlights the current experimental and theoretical understanding of molecular charge transport and its extension to the rapidly growing areas of molecular and carbon nanotube electronics. This introduction will outline the progress that has been made in understanding the mechanisms of molecular junction transport and the challenges and future directions in exploring charge transport on the molecular scale. In spite of the substantial challenges, molecular charge transport is of great interest for its intrinsic importance to potential single-molecule electronic, thin-film electronic, and optoelectronic applications.


2021 ◽  
pp. 109442812110565
Author(s):  
Ajay V. Somaraju ◽  
Christopher D. Nye ◽  
Jeffrey Olenick

The study of measurement equivalence has important implications for organizational research. Nonequivalence across groups or over time can affect the results of a study and the conclusions that are drawn from it. As a result, the review paper by Vandenberg & Lance (2000) has been highly cited and has played an important role in understanding the measurement of organizational constructs. However, that paper is now 20 years old, and a number of advances have been made in the application and interpretation of measurement equivalence (ME) since its publication. Therefore, the goal of the present paper is to provide an updated review of ME techniques that describes recent advances in testing for ME and proposes a taxonomy of potential sources of nonequivalence. Finally, we articulate recommendations for applying these newer methods and consider future directions for measurement equivalence research in the organizational literature.


1998 ◽  
Vol 21 ◽  
pp. 77-86
Author(s):  
C. R. Field

AbstractThe main uses to which marginal and arid rangelands are put involve livestock production, tourism based on wildlife and ethno-tourism, and agriculture, i.e. crop production. There is minimal dry land forestry, sometimes as agro-forestry. The emphasis placed on these three main uses varies according to the ecological potential (i.e. climate, topography and soils) and accessibility to the areas.Taking the Kenyan example, approximately 20% of the land is arid and used almost exclusively for livestock production while ethno-tourism runs a poor second in dry seasons because of inaccessibility. Current technology in Africa precludes extensive irrigation. Peak production of livestock is in the late wet season and early dry with marketing mostly in dry seasons. Over 50% of the land is semi-arid where all three uses are practised. Livestock production is still the most important and agriculture the least important, because rainfall is unreliable and erratic, wildlife populations are larger and so tourism is more important (e.g. Amboseli, Isiolo, Samburu). Agriculture occurs particularly in wet years and wet seasons.Although land is only very locally suited to agriculture, permanent water sources, rivers and springs may enable year round settlement. Farmers of non-pastoral backgrounds (and even some pastoralists) wish to follow their traditions and attempt cultivation. This is occasionally successful in above average years of rainfall (two years in five) on good soils but fails in dry years when it also deprives livestock of essential traditional dry season grazing reserves.Marginal areas occupy perhaps 12% of the land but are in high demand for all three use categories. Pastures are ideal for fattening livestock bred in more arid areas and they have a rapid turn-over. Wildlife populations are often at their highest in these areas, e.g. Laikipia, Mara and Nairobi park. Areas are relatively accessible on tarmac roads for year round viewing of wildlife. Agricultural resettlement has spilled over from higher potential lands where human populations are exceeding the carrying capacity.Increasing food requirements have led to a greater demand for efficient land use and to diversification into new areas, e.g. eco-tourism, ostrich farming or the intensification of traditional uses such as camel rearing.Lailipia District, situated mostly in marginal and semi-arid land is used as a case study. Here, successful conservation measures on mostly private land, which was formerly used by Maasai for subsistence pastoralism, has led to the largest population of wildlife in Kenya outside parks and reserves. At the same time land is used in part for crop production especially in the higher potential areas, but also wherever land is available for co-operative arable farmers to purchase. Livestock production remains however, the most widespread form of land use. The main seasonal variation in use is with crop production in the rains and game viewing in the dry seasons but extremes are less than in the lower rainfall areas.Recent preliminary analysis of the economics of various forms of land use in Laikipia indicate that in those limited areas where agriculture is reliable (e.g. irrigated areas near rivers) returns may be as high as US$ 132 to 166 per ha per annum. Wildlife tourism which prevails in less well watered areas may yield US$ 4 to 5 per ha, while conventional livestock rearing yields from US$ 0.2 to 1.4 per ha per annum. Game cropping is the least well developed and the least productive but is accepted as a necessity by the Kenya Wildlife Service, particularly with regard to zebra which compete with livestock for resources. It yields only US$ 0.2 to 0.4 per ha per annum.Wildlife and livestock occur together, except where there has been considerable outlay on electric fencing. Predators, especially lions and hyenas, are incompatible with livestock and together with certain wildlife which may act as disease vectors (e.g. buffalo) reduce income by US$ 0.5 per ha per annum. By contrast, the addition of camels, which are eco-friendly milk and meat producers, with no reduction of conventional stock, may increase livestock yields by US$ 0-4 per ha per annum.Combined wildlife tourism, cropping and livestock, including camels, may yield US$ 4.7 to 6.4 per ha per annum, which although still less than 5% of agricultural yield, is the best that may be achieved at present on a sustainable basis. Crop production is highly dependent on rainfall which becomes less predictable the more arid the land. It may not be sustainable in the long term in its present form.Current returns on investment are low for all forms of land use. Constraints to increasing returns are outlined. Research agendas need to be tailored to provide answers which could help minimize them. In particular, we need to refine our knowledge concerning the economics of the different options, both conventional and non-conventional.


2013 ◽  
Vol 2013 ◽  
pp. 1-18 ◽  
Author(s):  
Seth A. Herd ◽  
Kai A. Krueger ◽  
Trenton E. Kriete ◽  
Tsung-Ren Huang ◽  
Thomas E. Hazy ◽  
...  

We address strategic cognitive sequencing, the “outer loop” of human cognition: how the brain decides what cognitive process to apply at a given moment to solve complex, multistep cognitive tasks. We argue that this topic has been neglected relative to its importance for systematic reasons but that recent work on how individual brain systems accomplish their computations has set the stage for productively addressing how brain regions coordinate over time to accomplish our most impressive thinking. We present four preliminary neural network models. The first addresses how the prefrontal cortex (PFC) and basal ganglia (BG) cooperate to perform trial-and-error learning of short sequences; the next, how several areas of PFC learn to make predictions of likely reward, and how this contributes to the BG making decisions at the level of strategies. The third models address how PFC, BG, parietal cortex, and hippocampus can work together to memorize sequences of cognitive actions from instruction (or “self-instruction”). The last shows how a constraint satisfaction process can find useful plans. The PFC maintains current and goal states and associates from both of these to find a “bridging” state, an abstract plan. We discuss how these processes could work together to produce strategic cognitive sequencing and discuss future directions in this area.


2016 ◽  
Vol 12 (8) ◽  
pp. 20160137 ◽  
Author(s):  
Kathryn E. Arnold ◽  
Nicola J. Williams ◽  
Malcolm Bennett

Antimicrobial resistance (AMR) has been detected in the microbiota of many wildlife species, including long-distance migrants. Inadequately treated wastes from humans and livestock dosed with antimicrobial drugs are often assumed to be the main sources of AMR to wildlife. While wildlife populations closely associated with human populations are more likely to harbour clinically important AMR related to that found in local humans and livestock, AMR is still common in remote wildlife populations with little direct human influence. Most reports of AMR in wildlife are survey based and/or small scale, so researchers can only speculate on possible sources and sinks of AMR or the impact of wildlife AMR on clinical resistance. This lack of quantitative data on the flow of AMR genes and AMR bacteria across the natural environment could reflect the numerous AMR sources and amplifiers in the populated world. Ecosystems with relatively simple and well-characterized potential inputs of AMR can provide tractable, but realistic, systems for studying AMR in the natural environment. New tools, such as animal tracking technologies and high-throughput sequencing of resistance genes and mobilomes, should be integrated with existing methodologies to understand how wildlife maintains and disperses AMR.


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