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Background Variation in host attributes that influence their contact rates and infectiousness can lead some individuals to make disproportionate contributions to the spread of infections. Understanding the roles of such ‘superspreaders’ can be crucial in deciding where to direct disease surveillance and controls to greatest effect. In the epidemiology of bovine tuberculosis (bTB) in Great Britain, it has been suggested that a minority of cattle farms or herds might make disproportionate contributions to the spread of Mycobacterium bovis, and hence might be considered ‘superspreader farms’. Objectives and Methods We review the literature to identify the characteristics of farms that have the potential to contribute to exceptional values in the three main components of the farm reproductive number ‐ Rf: contact rate, infectiousness and duration of infectiousness, and therefore might characterize potential superspreader farms for bovine tuberculosis in Great Britain. Results Farms exhibit marked heterogeneity in contact rates arising from between‐farm trading of cattle. A minority of farms act as trading hubs that greatly augment connections within cattle trading networks. Herd infectiousness might be increased by high within‐herd transmission or the presence of supershedding individuals, or infectiousness might be prolonged due to undetected infections or by repeated local transmission, via wildlife or fomites. Conclusions Targeting control methods on putative superspreader farms might yield disproportionate benefits in controlling endemic bovine tuberculosis in Great Britain. However, real‐time identification of any such farms, and integration of controls with industry practices, present analytical, operational and policy challenges.
Background Variation in host attributes that influence their contact rates and infectiousness can lead some individuals to make disproportionate contributions to the spread of infections. Understanding the roles of such ‘superspreaders’ can be crucial in deciding where to direct disease surveillance and controls to greatest effect. In the epidemiology of bovine tuberculosis (bTB) in Great Britain, it has been suggested that a minority of cattle farms or herds might make disproportionate contributions to the spread of Mycobacterium bovis, and hence might be considered ‘superspreader farms’. Objectives and Methods We review the literature to identify the characteristics of farms that have the potential to contribute to exceptional values in the three main components of the farm reproductive number ‐ Rf: contact rate, infectiousness and duration of infectiousness, and therefore might characterize potential superspreader farms for bovine tuberculosis in Great Britain. Results Farms exhibit marked heterogeneity in contact rates arising from between‐farm trading of cattle. A minority of farms act as trading hubs that greatly augment connections within cattle trading networks. Herd infectiousness might be increased by high within‐herd transmission or the presence of supershedding individuals, or infectiousness might be prolonged due to undetected infections or by repeated local transmission, via wildlife or fomites. Conclusions Targeting control methods on putative superspreader farms might yield disproportionate benefits in controlling endemic bovine tuberculosis in Great Britain. However, real‐time identification of any such farms, and integration of controls with industry practices, present analytical, operational and policy challenges.
It has long been known that Feedback Vertex Set can be solved in time 2 Opw log wq n Op1q on n-vertex graphs of treewidth w, but it was only recently that this running time was improved to 2 Opwq n Op1q , that is, to single-exponential parameterized by treewidth. We investigate which generalizations of Feedback Vertex Set can be solved in a similar running time. Formally, for a class P of graphs, the Bounded P-Block Vertex Deletion problem asks, given a graph G on n vertices and positive integers k and d, whether G contains a set S of at most k vertices such that each block of G´S has at most d vertices and is in P. Assuming that P is recognizable in polynomial time and satisfies a certain natural hereditary condition, we give a sharp characterization of when single-exponential parameterized algorithms are possible for fixed values of d:• if P consists only of chordal graphs, then the problem can be solved in time 2 Opwd 2 q n Op1q ,• if P contains a graph with an induced cycle of length ě 4, then the problem is not solvable in time 2 opw log wq n Op1q even for fixed d " , unless the ETH fails.We also study a similar problem, called Bounded P-Component Vertex Deletion, where the target graphs have connected components of small size rather than blocks of small size, and we present analogous results. For this problem, we also show that if d is part of the input and P contains all chordal graphs, then it cannot be solved in time f pwqn opwq for some function f , unless the ETH fails.Bounded-size components. Using a similar technique, we can obtain analogous results for a simpler problem, which we call Bounded P-Component Vertex Deletion, where we want to remove at most k vertices such that each connected component of the resulting graph has at most d vertices and belongs to P. If we have only the size constraint (i.e., P contains every graph), then this problem is known as Component Order Connectivity [9]. Let P be a class of graphs.Bounded P-Component Vertex Deletion Parameter: d, w Input: A graph G of treewidth at most w, and positive integers d and k. Question: Is there a set S of at most k vertices in G such that each connected component of G´S has at most d vertices and is in P?Drange, Dregi, and van 't Hof [9] studied the parameterized complexity of a weighted variant of the Component Order Connectivity problem; their results imply, in particular, that Component Order Connectivity can be solved in time 2 Opk log dq n, but is W r1s-hard parameterized by only k or d. The corresponding edge-deletion problem, parameterized by treewidth, was studied by Enright and Meeks [10]. For general classes P, we prove results that are analogous to those for Bounded P-Block Vertex Deletion. Theorem 1.3. Let P be a class of graphs that is hereditary, recognizable in polynomial time, and consists of only chordal graphs. Then Bounded P-Component Vertex Deletion can be solved in time 2 Opwd 2 q k 2 n on graphs with n vertices and treewidth w.Theorem 1.4. Let P be a hereditary class of graphs that is polynomial-time recognizable. I...
We consider the following graph cut problem called Critical Node Cut (CNC): Given a graph G on n vertices, and two positive integers k and x, determine whether G has a set of k vertices whose removal leaves G with at most x connected pairs of vertices. We analyze this problem in the framework of parameterized complexity. That is, we are interested in whether or not this problem is solvable in f (κ)·n O(1) time (i.e., whether or not it is fixed-parameter tractable), for various natural parameters κ. We consider four such parameters:• The size k of the required cut.• The upper bound x on the number of remaining connected pairs.• The lower bound y on the number of connected pairs to be removed.• The treewidth w of G.We determine whether or not CNC is fixed-parameter tractable for each of these parameters. We determine this also for all possible aggregations of these four parameters, apart from w + k. Moreover, we also determine whether or not CNC admits a polynomial kernel for all these parameterizations. That is, whether or not there is an algorithm that reduces each instance of CNC in polynomial time to an equivalent instance of size κ O(1) , where κ is the given parameter. arXiv:1503.06321v2 [cs.DS] 28 Jun 2015vaccinating an area corresponds to deleting a certain vertex from the graph. Thus, the objective of stopping the virus from spreading translates to minimizing the number of connected pairs (two vertices which are in the same component) in the corresponding graph after applying the vaccination.This scenario can be modeled by the following graph-theoretic problem which we call Critical Node Cut (CNC). In this problem, we are given an undirected simple graph G and two integers k and x. The objective is to determine whether there exists a set C ⊆ V (G) of at most k vertices in G, such that the graph G − C which results from removing C from G, contains at most x connected pairs. In this sense, the cut C is considered critical since removing it from G leaves few (at most x) connected pairs. For convenience purposes, throughout the paper we will count ordered connected pairs; i.e., pairsThe goal of CNC is thus, roughly speaking, to destroy the connectivity of a given graph as much as possible given a certain budget for deleting vertices. From this point of view, CNC fits nicely to the broad family of graph-cut problems. Graph-cut problems have been studied widely and are among the most fundamental problems in algorithmic research. Examples include Min Cut, Max Cut, Multicut, Multiway Cut, Feedback Vertex Set, and Vertex Cover (see e.g.[21] for definitions of these problems). The latter is the special case of CNC with x = 0. Since Vertex Cover is arguably the most important problem in the theory of algorithmic design for NP-hard problems, CNC provides a natural test bed to see which of the techniques from this theory can be extended, and to what extent.Previous Work and Applications. The CNC problem has been studied from various different angles. The problem was shown to be NP-complete in [3] (although its NP-compl...
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