This paper is in the following e-collection/theme issue:

Geographic Information Systems (GIS) (23)

Published on in Vol 2, No 1 (2010):

SaTScan on a Cloud: On-Demand Large Scale Spatial Analysis of Epidemics

SaTScan on a Cloud: On-Demand Large Scale Spatial Analysis of Epidemics

SaTScan on a Cloud: On-Demand Large Scale Spatial Analysis of Epidemics

Authors of this article:

Ronald C Price1 ;   Warren Pettey2 ;   Tim Freeman3 ;   Kate Keahey3 ;   Molly Leecaster2 ;   Matthew Samore2 ;   James Tobias4 ;   Julio C Facelli5
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Parlavantzas N, Pham L, Morin C, Arnoux S, Beaunée G, Qi L, Gontier P, Ezanno P. A service‐based framework for building and executing epidemic simulation applications in the cloud. Concurrency and Computation: Practice and Experience 2020;32(5) View
  2. Scripcaru G, Mateus C, Nunes C. A decade of adverse drug events in Portuguese hospitals: space-time clustering and spatial variation in temporal trends. BMC Pharmacology and Toxicology 2017;18(1) View
  3. Griebel L, Prokosch H, Köpcke F, Toddenroth D, Christoph J, Leb I, Engel I, Sedlmayr M. A scoping review of cloud computing in healthcare. BMC Medical Informatics and Decision Making 2015;15(1) View
  4. Pham L, Parlavantzas N, Le H, Bui Q. Towards a Framework for High-Performance Simulation of Livestock Disease Outbreak: A Case Study of Spread of African Swine Fever in Vietnam. Animals 2021;11(9):2743 View