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Featured Publication

September 26, 2018

Spatio-temporal analysis of Plasmodium falciparum prevalence to understand the past and chart the future of malaria control in Kenya

Macharia PM, Giorgi E, Noor AM, Waqo E, Kiptui R, Okiro EA, Snow RW

Peer Reviewed

PUBLICATIONS

June 21, 2022

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

July 22, 2021

Defining service catchment areas in low resource settings

May 06, 2022

Comparing modelled with self-reported travel time and the used versus the nearest facility: modelling geographic accessibility to family planning outlets in Kenya

June 2, 2021

Model building and assessment of the impact of covariates for disease prevalence mapping in low-resource settings: to explain and to predict

December 20, 2021

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

May 14, 2021

Modelling geographical accessibility to urban centres in Kenya in 2019

December 7, 2021

Plasmodium falciparum parasite prevalence in East Africa: Updating data for malaria stratification

May 6, 2021

Methods of Measuring Spatial Accessibility to Health Care in Uganda

August 10, 2021

Tracking the introduction and spread of SARS-CoV-2 in coastal Kenya

May 4, 2021

The impact of child health interventions and risk factors on child survival in Kenya, 1993–2014: a Bayesian spatio-temporal analysis with counterfactual scenarios

© 2025 by Peter Macharia.

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