Survey Implementation

12 Feb 2019

Estimation of Poverty in Somalia Using Innovative Methodologies

by Pape UJ and Wollburg PR. 2019. World Bank: Washington DC USA.

Survey Implementation

01 Sep 2018

Urban Essential Needs Assessment in the five communes of Kimbanseke, Kinsenso, Makala, N’sele and Selembao (Kinshasa)

by World Food Programme, Vulnerability Analysis and Mapping team. September 2018

Survey Implementation

25 Jul 2018

Geo-Sampling in Developing Nations

by Cajka J, Amer S, Ridenhour J, Allpress, J. 2018. Int J Soc Res Methodol, 21(6):doi:10.1080/13645579.2018.1484989

Bottom-Up Gridded Population Datasets

19 Mar 2018

Spatially disaggregated population estimates in the absence of national population and housing census data

by Wardrop NA, Jochem WC, Bird tJ, et al. 2018. PNAS, 115(14):doi:10.1073/pnas.1715305115

Sampling Manual

01 Jan 2018

Surveys for Urban Equity (SUE) Project: Planning Team Guide.

by Thomson DR, Bhattarai R, Dhungel R, Gajurel S, Singh S, Manandhar S, Khanal S. 2018. Leeds: Leeds University. 147p.

Survey Implementation

01 Jan 2018

Improving household surveys and use of data to address health inequities in three Asian cities: protocol for the Surveys for Urban Equity (SUE) mixed methods and feasibility study.

by Elsey H, Poudel AN, Ensor T, et al. 2018. BMJ Open, 8:doi: 10.1136/bmjopen-2018-024182.

Survey Implementation

01 Jan 2018

GridSample: Household surveys with gridded population data to overcome outdated/inaccurate census frame whilst saving time and cost

by Thomson DR and Hesse JB. 2018. World Vision International: Mozambique. Presentation at World Data Forum.

Survey Implementation

01 Jan 2017

GridSample: An R Package to Generate Household Survey Primary Sampling Units (PSUs) from Gridded Population Data

by Thomson DR, Stevens FR, Ruktanonchai NW, et al. 2017. Int J Health Geogr, 16:doi:10.1186/s12942-017-0098-4

Survey Implementation

16 May 2016

Addressing Inequities in Urban Health: Do Decision-Makers Have the Data They Need? Report from the Urban Health Data Special Session at International Conference on Urban Health Dhaka 2015.

by Elsey H, Thomson DR, Lin RY, et al. 2016. J Urban Health, 93(3):doi:10.1007/s11524-016-0046-9.

CDR-Enhanced Gridded Population Datasets

01 Jan 2016

Dynamic denominators: the impact of seasonally varying population numbers on disease incidence estimates

by zu Erbach-Schoenberg E, Alegana VA, Sorichetta A, et al. 2016. Popul Health Metr, 14:doi:10.1186/s12963-016-0106-0

Top-Down Gridded Population Datasets

17 Feb 2015

Disaggregating census data for population mapping using random forests with remotely-sensed and ancillary data

by Stevens FR, Gaughan AE, Linard C, Tatem AJ. 2015. PLoS One, 10(2):doi:10.1371/journal.pone.0107042

CDR-Enhanced Gridded Population Datasets

27 Oct 2014

Dynamic population mapping using mobile phone data

by Deville P, Linard C, Martin S, et al. 2014. PNAS, 111(45):doi:10.1073/pnas.1408439111

Resources

The links are provided below to example gridded population survey manuals and implementations, as well as to methods for gridded population data creation.

Estimation of Poverty in Somalia Using Innovative Methodologies

Urban Essential Needs Assessment in the five communes of Kimbanseke, Kinsenso, Makala, N’sele and Selembao (Kinshasa)

Geo-Sampling in Developing Nations

Spatially disaggregated population estimates in the absence of national population and housing census data

Surveys for Urban Equity (SUE) Project: Planning Team Guide.

Improving household surveys and use of data to address health inequities in three Asian cities: protocol for the Surveys for Urban Equity (SUE) mixed methods and feasibility study.

GridSample: Household surveys with gridded population data to overcome outdated/inaccurate census frame whilst saving time and cost

GridSample: An R Package to Generate Household Survey Primary Sampling Units (PSUs) from Gridded Population Data

Addressing Inequities in Urban Health: Do Decision-Makers Have the Data They Need? Report from the Urban Health Data Special Session at International Conference on Urban Health Dhaka 2015.

Dynamic denominators: the impact of seasonally varying population numbers on disease incidence estimates

Disaggregating census data for population mapping using random forests with remotely-sensed and ancillary data

Dynamic population mapping using mobile phone data

We regret to inform you that the Gridsample tool and associated services are now closed.