Downloads

Share this resource

This is an open access article under the terms of the Creative Commons Attribution License (CC BY NC 4.0), which permits use, adaptation, distribution and reproduction in any medium or format, provided the original work is cited and it is for non-commercial purposes. Please contact us for other uses.

How to cite

Royal Geographical Society (with IBG) (2020). GRID3: Using geospatial data techniques to fight disease and improve population estimates. Available at www.rgs.org/impact/grid3. Last accessed on: <date>

 

All images: used with permission of GRID3

 

You may also be interested in...

Communicating and understanding risk in dynamic situations

This case study summarises the key themes discussed by our panellists at the first fireside chat, organised by the Disaster Risk Management Professional Practice Group in February 2021.

Written by Dr Tina Thomson, William Forde and Dr Kelvin Wong.

Tackling health inequality in former coalfield communities

Understanding geographical disparities and inequality in public health can help direct regeneration efforts in post-industrial areas.

Count Me In Too: LGBT community experiences in Brighton

Geographical research aimed to improve the lives of the lesbian, gay and bisexual communities in Brighton.