DSI: Geostatistical inference using spatially misaligned and aggregated data: a novel framework for disease mapping in low-resource settings (Newton IF: Peter Macharia)

Project: Research

Status	Finished
Effective start/end date	1/03/21 → 12/03/23

Funding

The Royal Society: £122,060.01

Giorgi, Emanuele (Principal Investigator)

Research outputs

Defining service catchment areas in low-resource settings
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Maplaria: a user friendly web-application for spatio-temporal malaria prevalence mapping
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Combining school-catchment area models with geostatistical models for analysing school survey data from low-resource settings: Inferential benefits and limitations
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Leveraging big data for improving the estimation of close to reality travel time to obstetric emergency services in urban low- and middle-income settings
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Mapping urban physical distancing constraints, sub-Saharan Africa: a case study from Kenya
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Progress towards achieving child survival goals in Kenya after devolution: Geospatial analysis with scenario-based projections, 2015–2025
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Geographic accessibility to public and private health facilities in Kenya in 2021: An updated geocoded inventory and spatial analysis
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Modelling geographic access and school catchment areas across public primary schools to support subnational planning in Kenya
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Differences between gridded population data impact measures of geographic access to healthcare in sub-Saharan Africa
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Investigating rapid diagnostic testing in Kenya’s health system, 2018–2020: validating non-reporting in routine data using a health facility service assessment survey
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Approaches to Defining Health Facility Catchment Areas in Sub-Saharan Africa
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

Research

DSI: Geostatistical inference using spatially misaligned and aggregated data: a novel framework for disease mapping in low-resource settings (Newton IF: Peter Macharia)

Funding

Research outputs

Defining service catchment areas in low-resource settings

Maplaria: a user friendly web-application for spatio-temporal malaria prevalence mapping

Combining school-catchment area models with geostatistical models for analysing school survey data from low-resource settings: Inferential benefits and limitations

Leveraging big data for improving the estimation of close to reality travel time to obstetric emergency services in urban low- and middle-income settings

Mapping urban physical distancing constraints, sub-Saharan Africa: a case study from Kenya

Progress towards achieving child survival goals in Kenya after devolution: Geospatial analysis with scenario-based projections, 2015–2025

Geographic accessibility to public and private health facilities in Kenya in 2021: An updated geocoded inventory and spatial analysis

Modelling geographic access and school catchment areas across public primary schools to support subnational planning in Kenya

Differences between gridded population data impact measures of geographic access to healthcare in sub-Saharan Africa

Investigating rapid diagnostic testing in Kenya’s health system, 2018–2020: validating non-reporting in routine data using a health facility service assessment survey

Approaches to Defining Health Facility Catchment Areas in Sub-Saharan Africa

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