Methods for spatial and spatio-temporal modeling are becoming increasingly important in environmental sciences and other sciences where data arise from a process in an inherent spatial setting. Technological advances in remote sensing, monitoring networks, and other methods of collecting spatial data in recent decades have revolutionized scientific endeavor in fields such as agriculture, climat...

Populations vary in time and in space, and temporal variation may differ from spatial variation. Yet, in the past half century, field data have confirmed both the temporal and spatial forms of Taylor's power Law, a linear relationship between log(variance) and log(mean) of population size. Recent theory predicted that competitive species interactions should reduce the slope of the temporal vers...

Book details Pfeiffer DU, Robinson TP, Stevenson M, Stevens KB, Rogers DJ, Clements ACA: Spatial Analysis in Epidemiology Oxford University Press; 2008:142. ISBN 978-0-19-850989-9 (Pbk) Review The consideration of the need for, and application of, spatially-explicit analysis in chronic and infectious disease epidemiology and control has been gaining momentum, particularly over the last two deca...

1 Department of Biological Sciences and Eck Institute for Global Health, 100 Galvin Hall, University of Notre Dame, Notre Dame, IN 46556 USA 2 WorldPop Project, Department of Geography and Environment, University of Southampton, Southampton, SO17 1BJ, UK 3 Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, OX1 3PS, UK 4 Flowminder Foundation, Stockholm,...

We study optimal dynamic lockdowns against COVID-19 within a commuting network. Our framework integrates canonical spatial epidemiology and trade models is applied to cities with varying initial viral spread: Seoul, Daegu, the New York City metropolitan area (NYM). Spatial achieve substantially smaller income losses than uniform lockdowns. In NYM Daegu—with large shocks—the lockdown restricts i...

THIS PAPER HAS TWO AIMS: (1) to summarize various geographic information science methods; and (2) to provide a review of studies that have employed such methods. Though not meant to be a comprehensive review, this paper explains when certain methods are useful in epidemiological studies and also serves as an overview of the growing field of spatial epidemiology.

1 Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom, 2 Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America, 3 Department of Geography, University of Florida, Gainesville, Florida, United States of America, 4 Fogarty International Center, National Institutes of Health, Bethesda, Maryland, Un...

Abstract: In geographical epidemiology, disease counts are typically available in discrete spatial units and at discrete time-points. For example, surveillance data on infectious diseases usually consists of weekly counts of new infections in pre-defined geographical areas. Similarly, but on a different timescale, cancer registries typically report yearly incidence or mortality counts in admini...

Discrete and Continuous Dynamics is the first in a series of articles on Network Models for Epidemiology. This project began in the Fall quarter of 2014 in my continuous modeling course. Since then, it has taken off and turned into a series of articles, which I hope to compile into a single report. The purpose of the report is to explore mathematical epidemiology. In this article, we discuss th...

BACKGROUND Drug-resistant tuberculosis (DR-TB) is a major public health problem caused by various factors. It is essential to systematically investigate the epidemiological and, in particular, the ecological factors of DR-TB for its prevention and control. Studies of the ecological factors can provide information on etiology, and assist in the effective prevention and control of disease. So it ...