Geospatial (s)tools: integration of advanced epidemiological sampling and novel diagnostics

Submitted: 16 December 2014
Accepted: 16 December 2014
Published: 1 May 2013
Abstract Views: 3324
PDF: 1372
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.


Large-scale control and progressive elimination of a wide variety of parasitic diseases is moving to the fore. Indeed, there is good pace and broad political commitment. Yet, there are some worrying signs ahead, particularly the anticipated declines in funding and coverage of key interventions, and the paucity of novel tools and strategies. Further and intensified research and development is thus urgently required. We discuss advances in epidemiological sampling, diagnostic tools and geospatial methodologies. We emphasise the need for integrating sound epidemiological designs (e.g. cluster-randomised sampling) with innovative diagnostic tools and strategies (e.g. Mini-FLOTAC for detection of parasitic elements and pooling of biological samples) and high-resolution geospatial tools. Recognising these challenges, standardisation of quality procedures, and innovating, validating and applying new tools and strategies will foster and sustain long-term control and eventual elimination of human and veterinary public health issues.



PlumX Metrics


Download data is not yet available.


How to Cite

Cringoli, G., Rinaldi, L., Albonico, M., Bergquist, R., & Utzinger, J. (2013). Geospatial (s)tools: integration of advanced epidemiological sampling and novel diagnostics. Geospatial Health, 7(2), 399–404.

List of Cited By :

Crossref logo