Author

Robert William Snow

Kenya Medical Research InstituteORCID 0000-0003-3725-6088Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Ecology· 1 Evolutionary Biology· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:virus· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Abdisalan Mohamed NooriD· 1 shared Adam Nduni· 1 shared Andrea ManicaiD· 1 shared Audrey Oronda· 1 shared Azra C. GhaniiD· 1 shared Brian BartiloliD· 1 shared Bryan GreenhouseiD· 1 shared Caroline WanjikuiD· 1 shared

Activity by Year

2019-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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1 shared paperGenetics

Abdisalan Mohamed NoorORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

EcologybioRxivPreprintOct 13, 2025

Ecological diversity of Anopheles gambiae s.l. and insecticide resistance across refugee camps in Kenya

Martin Kibet Rono, Caroline Wanjiku, Brian Bartilol…·Marta F. Maia

The paper surveys Anopheles mosquito species and insecticide resistance in refugee camps in Kenya, finding spatial variation in species composition and high pyrethroid resistance in some populations.

DOI 10.1101/2025.10.13.682237

humanexperimental assay

𝕏 PostBluesky

Evolutionary BiologybioRxivPreprintJun 4, 2025

Malaria shaped human spatial organisation for the last 74 thousand years

Margherita Colucci, Michela Leonardi, James Blinkhorn…·Eleanor M. L. Scerri

The paper estimates malaria transmission risk in sub-Saharan Africa over 74 kya and shows humans avoided malaria hotspots, shaping demography and population structure.

DOI 10.1101/2025.06.04.657870

humanstatistical model

𝕏 PostBluesky

GeneticsbioRxivPreprintOct 8, 2019

Evaluating the performance of malaria genomics for inferring changes in transmission intensity using transmission modelling

Oliver John Watson, Lucy Okell, Joel Hellewell…·Robert Verity

This study evaluates genetic metrics for inferring malaria transmission intensity changes using a transmission model and finds one metric can predict prevalence with 0.055 mean absolute error.

DOI 10.1101/793554

viruswhole-genome sequencing

𝕏 PostBluesky