Unknown

Dataset Information

Relative risk estimation of dengue disease at small spatial scale.


ABSTRACT:

Background

Dengue is a high incidence arboviral disease in tropical countries around the world. Colombia is an endemic country due to the favourable environmental conditions for vector survival and spread. Dengue surveillance in Colombia is based in passive notification of cases, supporting monitoring, prediction, risk factor identification and intervention measures. Even though the surveillance network works adequately, disease mapping techniques currently developed and employed for many health problems are not widely applied. We select the Colombian city of Bucaramanga to apply Bayesian areal disease mapping models, testing the challenges and difficulties of the approach.

Methods

We estimated the relative risk of dengue disease by census section (a geographical unit compos

SUBMITTER: Martinez-Bello DA 

PROVIDER: S-EPMC5558735 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature