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Reference: Shearer, FM, Huang, Z, Weiss, D et al., (2016). Estimating geographical variation in the risk of zoonotic Plasmodium knowlesi infection in countries eliminating malaria. PLoS Neglected Tropical Diseases.Citable link to this page:

 

Estimating geographical variation in the risk of zoonotic Plasmodium knowlesi infection in countries eliminating malaria.

Abstract: BackgroundInfection by the simian malaria parasite, Plasmodium knowlesi, can lead to severe and fatal disease in humans, and is the most common cause of malaria in parts of Malaysia. Despite being a serious public health concern, the geographical distribution of P.knowlesi malaria risk is poorly understood because the parasite is often misidentified as one of the human malarias. Human cases have been confirmed in at least nine Southeast Asian countries, many of which are making progress towards eliminating the human malarias. Understanding the geographical distribution of P.knowlesi is important for identifying areas where malaria transmission will continue after the human malarias have been eliminated. Methodology/Principal FindingsA total of 439 records ofP.knowlesiinfections in humans, macaque reservoir and vector species were collated. To predict spatial variation in disease risk, a model was fitted using records from countries where the infection data coverage is high. Predictions were then made throughout Southeast Asia, including regions where infection data are sparse. The resulting map predicts areas of high risk forP.knowlesiinfection in a number of countries that are forecast to be malaria-free by 2025 (Malaysia, Cambodia, Thailand and Vietnam) as well as countries projected to be eliminating malaria (Myanmar, Laos, Indonesia and the Philippines).Conclusions/SignificanceA total of 439 records ofP.knowlesiinfections in humans, macaque reservoir and vector species were collated. To predict spatial variation in disease risk, a model was fitted using records from countries where the infection data coverage is high. Predictions were then made throughout Southeast Asia, including regions where infection data are sparse. The resulting map predicts areas of high risk forP.knowlesiinfection in a number of countries that are forecast to be malaria-free by 2025 (Malaysia, Cambodia, Thailand and Vietnam)

Publication status:PublishedPeer Review status:Peer reviewedVersion:Publisher's version Funder: Bill and Melinda Gates Foundation   Funder: Wellcome Trust   Funder: University Malaysia Sarawak   Funder: Thailand Research Fund   Funder: Thailand Government Research Budget   Funder: Ministry of Higher Education, Malaysia   Funder: Medical Research Council   Funder: Department for International Development   Notes:© 2016 Shearer et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Bibliographic Details

Publisher: Public Library of Science

Publisher Website: http://www.plos.org/

Journal: PLoS Neglected Tropical Diseasessee more from them

Publication Website: http://journals.plos.org/plosntds/

Issue Date: 2016-08Identifiers

Doi: https://doi.org/10.1371/journal.pntd.0004915

Issn: 1935-2735

Uuid: 06fd3959-f861-40ef-926d-72e4581ec685

Urn: uri:06fd3959-f861-40ef-926d-72e4581ec685

Pubs-id: pubs:637878 Item Description

Type: journal-article;

Version: Publisher's version

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Autor: Shearer, FM - Oxford, MSD, NDM, NDM Experimental Medicine fundingRhodes Scholarship - - - Huang, Z - Oxford, Colleges and Halls,

Fuente: https://ora.ox.ac.uk/objects/uuid:06fd3959-f861-40ef-926d-72e4581ec685



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