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

Presentations, Abstracts, or Demonstrations (740)

Published on in Vol 6, No 1 (2014):

Predicting Malaria in a Highly Endemic Country using Environmental and Clinical Data Sources

Predicting Malaria in a Highly Endemic Country using Environmental and Clinical Data Sources

Predicting Malaria in a Highly Endemic Country using Environmental and Clinical Data Sources

Authors of this article:

Kate Zinszer1 ;   Ruth Kigozi2 ;   Katia Charland1 ;   Grant Dorsey3 ;   Moses Kamya4 ;   David Buckeridge1
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (2) Tweetations Metrics

Kate Zinszer   1 ;   Ruth Kigozi   2 ;   Katia Charland   1 ;   Grant Dorsey   3 ;   Moses Kamya   4 ;   David Buckeridge   1

1 McGill University, Montreal, QC, Canada.

2 UMSP, Kampala, Uganda.

3 UMSP, Kampala, Uganda; University of California San Francisco, San Francisco, CA, United States

4 UMSP, Kampala, Uganda; Makerere University, Kampala, Uganda.

Corresponding Author:

  • Kate Zinszer
  • McGill University, Montreal, QC, Canada.