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

Geographic Information Systems (GIS) (26)

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

Conference Proceedings

  1. Pham L, Parlavantzas N, Morin C, Arnoux S, Qi L, Gontier P, Ezanno P. 2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). DiFFuSE, a Distributed Framework for Cloud-Based Epidemic Simulations: A Case Study in Modelling the Spread of Bovine Viral Diarrhea Virus View