Literature DB >> 20649131

Validation of ecological niche models for potential malaria vectors in the Republic of Korea.

Desmond H Foley1, Terry A Klein, Heung Chul Kim, Tracy Brown, Richard C Wilkerson, Leopoldo M Rueda.   

Abstract

Data on molecularly identified adult and larval mosquitoes collected from 104 sites from the Republic of Korea (ROK) in 2007 were used to test the predictive ability of recently reported ecological niche models (ENMs) for 8 potential malaria vectors. The ENMs, based on the program Maxent and the least presence threshold criterion, predicted 100% of new collection locations for Anopheles sinensis, An. belenrae, An. pullus, and An. sineroides; 96% of locations for An. kleini; and 83% for An. lesteri, but were relatively unsuccessful for the infrequently collected non-Hyrcanus group species An. koreicus and An. lindesayi japonicas. The ENMs produced with the use of Maxent had fewer omission errors than those using the Genetic Algorithm for Rule-Set Prediction program. The results emphasize the importance of independent test data for validation and improvement of ENMs, and lend support for the further development of ENMs for predicting the distribution of malaria vectors in the ROK.

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Year:  2010        PMID: 20649131     DOI: 10.2987/09-5939.1

Source DB:  PubMed          Journal:  J Am Mosq Control Assoc        ISSN: 8756-971X            Impact factor:   0.917


  6 in total

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Authors:  C Khatchikian; F Sangermano; D Kendell; T Livdahl
Journal:  Med Vet Entomol       Date:  2010-12-27       Impact factor: 2.739

2.  Near-present and future distribution of Anopheles albimanus in Mesoamerica and the Caribbean Basin modeled with climate and topographic data.

Authors:  Douglas O Fuller; Martha L Ahumada; Martha L Quiñones; Sócrates Herrera; John C Beier
Journal:  Int J Health Geogr       Date:  2012-04-30       Impact factor: 3.918

Review 3.  The AFHSC-Division of GEIS Operations Predictive Surveillance Program: a multidisciplinary approach for the early detection and response to disease outbreaks.

Authors:  Clara J Witt; Allen L Richards; Penny M Masuoka; Desmond H Foley; Anna L Buczak; Lillian A Musila; Jason H Richardson; Michelle G Colacicco-Mayhugh; Leopoldo M Rueda; Terry A Klein; Assaf Anyamba; Jennifer Small; Julie A Pavlin; Mark M Fukuda; Joel Gaydos; Kevin L Russell; Richard C Wilkerson; Robert V Gibbons; Richard G Jarman; Khin S Myint; Brian Pendergast; Sheri Lewis; Jorge E Pinzon; Kathrine Collins; Matthew Smith; Edwin Pak; Compton Tucker; Kenneth Linthicum; Todd Myers; Moustafa Mansour; Ken Earhart; Heung Chul Kim; Ju Jiang; Dave Schnabel; Jeffrey W Clark; Rosemary C Sang; Elizabeth Kioko; David C Abuom; John P Grieco; Erin E Richards; Steven Tobias; Matthew R Kasper; Joel M Montgomery; Dave Florin; Jean-Paul Chretien; Trudy L Philip
Journal:  BMC Public Health       Date:  2011-03-04       Impact factor: 3.295

4.  Linking land cover and species distribution models to project potential ranges of malaria vectors: an example using Anopheles arabiensis in Sudan and Upper Egypt.

Authors:  Douglas O Fuller; Michael S Parenti; Ali N Hassan; John C Beier
Journal:  Malar J       Date:  2012-08-06       Impact factor: 2.979

5.  Where have all the mosquito nets gone? Spatial modelling reveals mosquito net distributions across Tanzania do not target optimal Anopheles mosquito habitats.

Authors:  Emily S Acheson; Andrew A Plowright; Jeremy T Kerr
Journal:  Malar J       Date:  2015-08-19       Impact factor: 2.979

6.  A novel method for mapping village-scale outdoor resting microhabitats of the primary African malaria vector, Anopheles gambiae.

Authors:  Julius R Dewald; Douglas O Fuller; Günter C Müller; John C Beier
Journal:  Malar J       Date:  2016-09-22       Impact factor: 2.979

  6 in total

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