A class of discrete-time models of infectious disease spread, referred to as individual-level models (ILMs), are typically fitted in a Bayesian Markov chain Monte Carlo (MCMC) framework. These models quantify probabilistic outcomes regarding the risk of infection of susceptible individuals due to various susceptibility and transmissibility factors, including their spatial distance from infectious individuals. The infectious pressure from infected individuals exerted on susceptible individuals is intrinsic to these ILMs. Unfortunately, quantifying this infectious pressure for data sets containing many individuals can be computationally burdensome, leading to a time-consuming likelihood calculation and, thus, computationally prohibitive MCMC-based analysis. This problem worsens when using data augmentation to allow for uncertainty in infection times. In this paper, we develop sampling methods that can be used to calculate a fast, approximate likelihood when fitting such disease models. A simple random sampling approach is initially considered followed by various spatially-stratified schemes. We test and compare the performance of our methods with both simulated data and data from the 2001 foot-and-mouth disease (FMD) epidemic in the U.K. Our results indicate that substantial computation savings can be obtained—albeit, of course, with some information loss—suggesting that such techniques may be of use in the analysis of very large epidemic data sets.

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Subject area Strategic Management. Study level/applicability Master of Business Administration/Executive Program in Management Level. Case overview Rajat Malik started eFin Recruiters in January 2015 an RPO firm solely catering to the finance domain. Positioning eFin Recruiters in a niche domain created serious challenges to be tackled. Rajat was contemplating leveraging the Indian Government’s Startup India campaign launched on January 16, 2016 to his advantage to scale up eFin Recruiters’ operations by 400 per cent and compete with large established players in the RPO industry. Complacency and anticipated retaliatory action by competitors against eFin Recruiters’ positioning in the niche domain were a huge impediment in eFin Recruiters’ path to exponential growth. Expected learning outcomes This case will enable students to understand the concepts of industry analysis, strategic positioning from the view of an entrepreneurial firm and business level strategy. This case acts as a medium to integrate entrepreneurship and strategy which is of utmost relevance. Supplementary materials Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes. Subject code CSS: 11: Strategy.

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