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Peter W. Gething

Researcher at Telethon Institute for Child Health Research

Publications -  265
Citations -  101897

Peter W. Gething is an academic researcher from Telethon Institute for Child Health Research. The author has contributed to research in topics: Malaria & Population. The author has an hindex of 93, co-authored 252 publications receiving 74346 citations. Previous affiliations of Peter W. Gething include Curtin University & University of Oxford.

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A spatial national health facility database for public health sector planning in Kenya in 2008

TL;DR: This paper has shown that, with concerted effort, a relatively complete inventory of mapped health services is possible with enormous potential for improving planning and has released the digital spatial database in the public domain to assist the Kenyan Government and its partners in the health sector.
Journal Article

Transmission-blocking interventions eliminate malaria from laboratory populations

TL;DR: It is clearly demonstrate that use of transmission-blocking interventions alone can eliminate Plasmodium from a vertebrate population, and have significant implications for the future design and implementation of Transmission- blocking interventions within the field.
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Mapping trends in insecticide resistance phenotypes in African malaria vectors.

TL;DR: These maps show alarming increases in the prevalence of resistance to pyrethroids and DDT across sub-Saharan Africa from 2005 to 2017, with mean mortality following insecticide exposure declining from almost 100% to less than 30% in some areas, as well as substantial spatial variation in resistance trends.
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Air temperature suitability for Plasmodium falciparum malaria transmission in Africa 2000-2012: A high-resolution spatiotemporal prediction

TL;DR: The dynamic TSI dataset presented here provides a new product with far richer spatial and temporal information than any other presently available for Africa, and dynamic predictor variables such as the malaria temperature suitability data developed here will be essential for the rational assessment of changing patterns of malaria risk.