Importance of the “What,” “When,” and “Where” of Mosquito Collection Events

Foley, Desmond H.; Wilkerson, Richard C.; Rueda, Leopoldo M.

doi:10.1603/033.046.0401

Cited by 21 publications

(17 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Otherwise, detailed notes on each locality were documented in relation to positions along the TBS trails, allowing retrospective georeferencing using Google Earth. All coordinates were converted to decimal degrees ( Foley et al 2009 ) and distributions records are freely available in MosquitoMap (mosquitomap.org).…”

Section: Methodsmentioning

confidence: 99%

Mosquitoes of eastern Amazonian Ecuador: biodiversity, bionomics and barcodes

Linton

Pecor

Porter

et al. 2013

Mem. Inst. Oswaldo Cruz

View full text Add to dashboard Cite

Two snapshot surveys to establish the diversity and ecological preferences of mosquitoes (Diptera: Culicidae) in the terra firme primary rain forest surrounding the Tiputini Biodiversity Station in the UNESCO Yasuní Biosphere Reserve of eastern Amazonian Ecuador were carried out in November 1998 and May 1999. The mosquito fauna of this region is poorly known; the focus of this study was to obtain high quality link-reared specimens that could be used to unequivocally confirm species level diversity through integrated systematic study of all life stages and DNA sequences. A total of 2,284 specimens were preserved; 1,671 specimens were link-reared with associated immature exuviae, all but 108 of which are slide mounted. This study identified 68 unique taxa belonging to 17 genera and 27 subgenera. Of these, 12 are new to science and 37 comprise new country records. DNA barcodes [658-bp of the mtDNA cytochrome c oxidase ( COI ) I gene] are presented for 58 individuals representing 20 species and nine genera. DNA barcoding proved useful in uncovering and confirming new species and we advocate an integrated systematics approach to biodiversity studies in future. Associated bionomics of all species collected are discussed. An updated systematic checklist of the mosquitoes of Ecuador (n = 179) is presented for the first time in 60 years.

show abstract

Section: Methodsmentioning

confidence: 99%

Mosquitoes of eastern Amazonian Ecuador: biodiversity, bionomics and barcodes

Linton

Pecor

Porter

et al. 2013

Mem. Inst. Oswaldo Cruz

View full text Add to dashboard Cite

show abstract

“…MosquitoMap has over 60 fields of information [4], many of which are based on Darwin Core standards [13]. Data for some fields use controlled vocabulary terms based on international standards (e.g.…”

Section: Methodsmentioning

confidence: 99%

“…to identify incorrect georeferences that do not fall on land or appear in the wrong country. The georeferencing and species identification accuracy of mosquito point occurrence data is important [4]. Every effort is made to ensure that the taxonomic data of the species within MosquitoMap is up-to-date using resources such as the Systematic Catalog of Culicidae [14], and the 'check coordinates' option in the program DIVA-GIS 5.3.…”

Section: Methodsmentioning

confidence: 99%

“…The basic information required are the longitude and latitude, the species identification, and date of the mosquito collection. Other information, such as on the habitat, add value to the record, and Foley et al [4] listed over 60 fields of information about a collection event that could be recorded. These authors proposed that standards be adopted for recording collection data, because of the growth and interoperability of online inventories such as the Global Biodiversity Information Facility (GBIF) [5].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Foley

Wilkerson

Birney³

et al. 2010

International Journal of Health Geographics

View full text Add to dashboard Cite

BackgroundMosquitoes are important vectors of diseases but, in spite of various mosquito faunistic surveys globally, there is a need for a spatial online database of mosquito collection data and distribution summaries. Such a resource could provide entomologists with the results of previous mosquito surveys, and vector disease control workers, preventative medicine practitioners, and health planners with information relating mosquito distribution to vector-borne disease risk.ResultsA web application called MosquitoMap was constructed comprising mosquito collection point data stored in an ArcGIS 9.3 Server/SQL geodatabase that includes administrative area and vector species x country lookup tables. In addition to the layer containing mosquito collection points, other map layers were made available including environmental, and vector and pathogen/disease distribution layers. An application within MosquitoMap called the Mal-area calculator (MAC) was constructed to quantify the area of overlap, for any area of interest, of vector, human, and disease distribution models. Data standards for mosquito records were developed for MosquitoMap.ConclusionMosquitoMap is a public domain web resource that maps and compares georeferenced mosquito collection points to other spatial information, in a geographical information system setting. The MAC quantifies the Mal-area, i.e. the area where it is theoretically possible for vector-borne disease transmission to occur, thus providing a useful decision tool where other disease information is limited. The Mal-area approach emphasizes the independent but cumulative contribution to disease risk of the vector species predicted present. MosquitoMap adds value to, and makes accessible, the results of past collecting efforts, as well as providing a template for other arthropod spatial databases.

show abstract

“…While the methodology of collecting datasets may vary according to the instruments used, the end results, the language and content of the datasets must be concordant in order to facilitate a seamless progression of surveillance results between AFHSC-GEIS partners and program components. Partners at WRAIR-WRBU have published recommendations on mosquito collection data standards, and these are being considered as the standard operating procedure (SOP) for mosquito collections sponsored by AFHSC-GEIS [50]. Similar SOPs will be developed for sand fly and tick collections.…”

Section: Model Componentsmentioning

confidence: 99%

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

et al. 2011

View full text Add to dashboard Cite

The Armed Forces Health Surveillance Center, Division of Global Emerging Infections Surveillance and Response System Operations (AFHSC-GEIS) initiated a coordinated, multidisciplinary program to link data sets and information derived from eco-climatic remote sensing activities, ecologic niche modeling, arthropod vector, animal disease-host/reservoir, and human disease surveillance for febrile illnesses, into a predictive surveillance program that generates advisories and alerts on emerging infectious disease outbreaks. The program’s ultimate goal is pro-active public health practice through pre-event preparedness, prevention and control, and response decision-making and prioritization. This multidisciplinary program is rooted in over 10 years experience in predictive surveillance for Rift Valley fever outbreaks in Eastern Africa. The AFHSC-GEIS Rift Valley fever project is based on the identification and use of disease-emergence critical detection points as reliable signals for increased outbreak risk. The AFHSC-GEIS predictive surveillance program has formalized the Rift Valley fever project into a structured template for extending predictive surveillance capability to other Department of Defense (DoD)-priority vector- and water-borne, and zoonotic diseases and geographic areas. These include leishmaniasis, malaria, and Crimea-Congo and other viral hemorrhagic fevers in Central Asia and Africa, dengue fever in Asia and the Americas, Japanese encephalitis (JE) and chikungunya fever in Asia, and rickettsial and other tick-borne infections in the U.S., Africa and Asia.

show abstract

Importance of the “What,” “When,” and “Where” of Mosquito Collection Events

Cited by 21 publications

References 4 publications

Mosquitoes of eastern Amazonian Ecuador: biodiversity, bionomics and barcodes

Mosquitoes of eastern Amazonian Ecuador: biodiversity, bionomics and barcodes

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

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

Contact Info

Product

Resources

About