Literature DB >> 19645273

Importance of the "what," "when," and "where" of mosquito collection events.

Desmond H Foley1, Richard C Wilkerson, Leopoldo M Rueda.   

Abstract

There is increasing need to apply established standards for recording data on mosquito collection events, because of the diversity of potential data providers, and the growth and interoperability of online databases designed to host these collection records. In particular, adequate taxonomic and georeference data are needed for geodatabases such as Mosquitomap (http://www. mosquitomap.org/) that map and compare these collection points with other spatial information in a geographical information system (GIS) setting. Accurately georeferenced collection data are crucial for understanding mosquito biogeography, ecology, and the impact of environmental changes, as well as for species distribution modeling, planning mosquito surveys, and for determining disease risk. We sampled representative published reports of new mosquito species records from 1980 in North America to the present to ascertain the quality of georeference information. Our results show that authors have increased the frequency of reporting georeferences but that they vary in the precision of the georeference, and some information, such as the source, date, and datum of the georeference, are usually not given. We discuss recently established standards for recording collection events, some relevant online resources available to researchers to assist them in their georeferencing, and the data input schema developed for the Mosquitomap database. We propose that the mosquito research community adopt data standards for recording and reporting the results of mosquito collection events to increase the value of these data. In particular, we recommend authors lodge voucher specimens and use a GPS set to the WGS84 datum.

Mesh:

Year:  2009        PMID: 19645273     DOI: 10.1603/033.046.0401

Source DB:  PubMed          Journal:  J Med Entomol        ISSN: 0022-2585            Impact factor:   2.278


  8 in total

1.  An ecological niche model to predict the geographic distribution of Haemagogus janthinomys, Dyar, 1921 a yellow fever and Mayaro virus vector, in South America.

Authors:  Michael Celone; David Brooks Pecor; Alexander Potter; Alec Richardson; James Dunford; Simon Pollett
Journal:  PLoS Negl Trop Dis       Date:  2022-07-08

2.  MosquitoMap and the Mal-area calculator: new web tools to relate mosquito species distribution with vector borne disease.

Authors:  Desmond H Foley; Richard C Wilkerson; Ian Birney; Stanley Harrison; Jamie Christensen; Leopoldo M Rueda
Journal:  Int J Health Geogr       Date:  2010-02-18       Impact factor: 3.918

Review 3.  Understanding Mosquito Surveillance Data for Analytic Efforts: A Case Study.

Authors:  Heidi E Brown; Luigi Sedda; Chris Sumner; Elene Stefanakos; Irene Ruberto; Matthew Roach
Journal:  J Med Entomol       Date:  2021-07-16       Impact factor: 2.278

Review 4.  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

5.  Improved spatial ecological sampling using open data and standardization: an example from malaria mosquito surveillance.

Authors:  Luigi Sedda; Eric R Lucas; Luc S Djogbénou; Ako V C Edi; Alexander Egyir-Yawson; Bilali I Kabula; Janet Midega; Eric Ochomo; David Weetman; Martin J Donnelly
Journal:  J R Soc Interface       Date:  2019-04-26       Impact factor: 4.118

6.  Mosquitoes of eastern Amazonian Ecuador: biodiversity, bionomics and barcodes.

Authors:  Yvonne-Marie Linton; James E Pecor; Charles H Porter; Luke Brett Mitchell; Andrés Garzón-Moreno; Desmond H Foley; David Brooks Pecor; Richard C Wilkerson
Journal:  Mem Inst Oswaldo Cruz       Date:  2013       Impact factor: 2.743

7.  A generic schema and data collection forms applicable to diverse entomological studies of mosquitoes.

Authors:  Samson S Kiware; Tanya L Russell; Zacharia J Mtema; Alpha D Malishee; Prosper Chaki; Dickson Lwetoijera; Javan Chanda; Dingani Chinula; Silas Majambere; John E Gimnig; Thomas A Smith; Gerry F Killeen
Journal:  Source Code Biol Med       Date:  2016-03-28

Review 8.  A Spatiotemporal Database to Track Human Scrub Typhus Using the VectorMap Application.

Authors:  Daryl J Kelly; Desmond H Foley; Allen L Richards
Journal:  PLoS Negl Trop Dis       Date:  2015-12-17
  8 in total

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