138 citations · 152 across the 6 of their papers we have counts for
6 papers
A Space-time Model for Inferring A Susceptibility Map for An Infectious Disease
Xiaoxiao Li, Matthew Ferrari, Michael J. Tildesley +1
Motivated by foot-and-mouth disease (FMD) outbreak data from Turkey, we develop a model to estimate disease risk based on a space-time record of outbreaks. The spread of infectious…
Network structure and disease risk for an endemic infectious disease
Jose L. Herrera-Diestra, Michael Tildesley, Katriona Shea +1
The structure of contact networks affects the likelihood of disease spread at the population scale and the risk of infection at any given node. Though this has been well characteri…
Key Questions for Modelling COVID-19 Exit Strategies
Robin N Thompson, T Deirdre Hollingsworth, Valerie Isham +40
Combinations of intense non-pharmaceutical interventions ('lockdowns') were introduced in countries worldwide to reduce SARS-CoV-2 transmission. Many governments have begun to impl…
The spatiotemporal tau statistic: a review
Timothy M. Pollington, Michael J. Tildesley, T. Déirdre Hollingsworth +1
Introduction The tau statistic is a recent second-order correlation function that can assess the magnitude and range of global spatiotemporal clustering from epidemiological data c…
Developments in statistical inference when assessing spatiotemporal disease clustering with the tau statistic
Timothy M. Pollington, Michael J. Tildesley, T. Déirdre Hollingsworth +1
The tau statistic uses geolocation and, usually, symptom onset time to assess global spatiotemporal clustering from epidemiological data. We test different factors that could a…
The Nosoi commute: a spatial perspective on the rise of BSL-4 laboratories in cities
Thomas P. Van Boeckel, Michael J. Tildesley, Catherine Linard +3
Recent H5N1 influenza research has revived the debate on the storage and manipulation of potentially harmful pathogens. In the last two decades, new high biosafety (BSL-4) laborato…