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Peter M Macharia

0000-0003-3410-1881

Postdoctoral reseacher (Health sciences)

Kenya

I am a postdoc in spatial epidemiology at the Reproductive and Maternal Health unit, Department of Public Health, In Institute of Tropical Medicine, Antwerp, Belgium I am interested in spatial health metrics to aid in a better understanding of health inequalities, vulnerabilities, and population health through the use of geospatial methods. I have published broadly in spatial epidemiology journals. I received my PhD in spatial epidemiology from The Open University, UK, Master's in GIS & remote sensing from Jomo Kenyatta University of Agriculture and Technology, Kenya. A postgraduate diploma in health research methods from Pwani University and a BSc in Geomatic Engineering & GIS from Jomo Kenyatta University of Agriculture and Technology, Kenya.

Publications

  • https://www.petermacharia.com/
  • https://scholar.google.ch/citations?user=cMcGyfcAAAAJ&hl=en
  • Spatial models for the rational allocation of routinely distributed bed nets to public health facilities in Western Kenya
  • Tracking the introduction and spread of SARS-CoV-2 in coastal Kenya
  • Coverage of routine reporting on malaria parasitological testing in Kenya, 2015–2016
  • Access to emergency hospital care provided by the public sector in sub-Saharan Africa in 2015: a geocoded inventory and spatial analysis.
  • Trends in health workers’ compliance with outpatient malaria case-management guidelines across malaria epidemiological zones in Kenya, 2010–2016
  • Spatio-temporal analysis of Plasmodium falciparum prevalence to understand the past and chart the future of malaria control in Kenya
  • SUBNATIONAL MAPPING OF UNDER-FIVE MORTALITY AND ITS DETERMINANTS IN KENYA SINCE 1965
  • A vulnerability index for COVID-19: spatial analysis to inform equitable response in Kenya
  • Determinants of subnational disparities in antenatal care utilisation: a spatial analysis of demographic and health survey data in Kenya
  • Spatial access inequities and childhood immunisation uptake in Kenya
  • Plasmodium falciparum parasite prevalence in East Africa: Updating data for malaria stratification
  • Spatial and spatio-temporal methods for mapping malaria risk: a systematic review
  • National and sub-national variation in patterns of febrile case management in sub-Saharan Africa
  • A vulnerability index for COVID-19: spatial analysis at the subnational level in Kenya
  • Sub national variation and inequalities in under-five mortality in Kenya since 1965
  • Subnational estimates of factors associated with under-five mortality in Kenya: a spatio-temporal analysis, 1993–2014
  • Simulating the council-specific impact of anti-malaria interventions: A tool to support malaria strategic planning in Tanzania.
  • A reproducible picture of open access health facility data in Africa and R tools to support improvement
  • A rapid and reproducible picture of open access health facility data in Africa to support the COVID-19 response
  • Spatial accessibility to basic public health services in South Sudan.
  • Model building and assessment of the impact of covariates for disease prevalence mapping in low-resource settings: to explain and to predict
  • Tracking the introduction and spread of SARS-CoV-2 in coastal Kenya
  • Malaria micro-stratification using routine surveillance data in Western Kenya
  • Geostatistical analysis of Malawi’s changing malaria transmission from 2010 to 2017
  • A national health facility survey of malaria infection among febrile patients in Kenya, 2014
  • The impact of child health interventions and risk factors on child survival in Kenya, 1993–2014: a Bayesian spatio-temporal analysis with counterfactual scenarios
  • Methods of Measuring Spatial Accessibility to Health Care in Uganda
  • Maplaria: a user friendly web-application for spatio-temporal malaria prevalence mapping
  • A spatial database of health facilities managed by the public health sector in sub Saharan Africa
  • Modelling geographical accessibility to urban centres in Kenya in 2019
  • Defining service catchment areas in low-resource settings
  • Differences between gridded population data impact measures of geographic access to healthcare in sub-Saharan Africa
  • Comparing modelled with self-reported travel time and the used versus the nearest facility: modelling geographic accessibility to family planning outlets in Kenya
  • 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
  • Spatial variation and inequities in antenatal care coverage in Kenya, Uganda and mainland Tanzania using model-based geostatistics: a socioeconomic and geographical accessibility lens
  • Approaches to defining health facility catchment areas in sub-Saharan Africa
  • Mapping urban physical distancing constraints, sub-Saharan Africa: a case study from Kenya.
  • Reporting of rapid diagnostic testing in Kenya's health system, 2018-2020: triangulation of routine and survey data
  • 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
  • Neonatal and perinatal mortality in the urban continuum: A geospatial analysis of the household survey, satellite imagery and travel time data in Tanzania
  • Modelling geographic access and school catchment areas across public primary schools to support subnational planning in Kenya
  • Neonatal and perinatal mortality in the urban continuum: a geospatial analysis of the household survey, satellite imagery and travel time data in Tanzania

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Co-workers & collaborators

Aduragbemi Banke-Thomas

Aduragbemi Banke-Thomas

Peter M Macharia's public data