VectorNet: collaborative mapping of arthropod disease vectors in Europe and surrounding areas since 2010

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

VectorNet : collaborative mapping of arthropod disease vectors in Europe and surrounding areas since 2010. / Wint, G. R.William; Balenghien, Thomas; Berriatua, Eduardo; Braks, Marieta; Marsboom, Cedric; Medlock, Jolyon; Schaffner, Francis; Van Bortel, Wim; Alexander, Neil; Alten, Bulent; Czwienczek, Ewelina; Dhollander, Sofie; Ducheyne, Els; Gossner, Celine M.; Hansford, Kayleigh; Hendrickx, Guy; Honrubia, Hector; Matheussen, Tom; Mihalca, Andrei Daniel; Petric, Dusan; Richardson, Jane; Sprong, Hein; Versteirt, Veerle; Briet, Olivier; Bødker, René (Member of author collaboration).

In: Eurosurveillance, Vol. 28, No. 26-29, 2200666, 2023.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Wint, GRW, Balenghien, T, Berriatua, E, Braks, M, Marsboom, C, Medlock, J, Schaffner, F, Van Bortel, W, Alexander, N, Alten, B, Czwienczek, E, Dhollander, S, Ducheyne, E, Gossner, CM, Hansford, K, Hendrickx, G, Honrubia, H, Matheussen, T, Mihalca, AD, Petric, D, Richardson, J, Sprong, H, Versteirt, V, Briet, O & Bødker, R 2023, 'VectorNet: collaborative mapping of arthropod disease vectors in Europe and surrounding areas since 2010', Eurosurveillance, vol. 28, no. 26-29, 2200666. https://doi.org/10.2807/1560-7917.ES.2023.28.26.2200666

APA

Wint, G. R. W., Balenghien, T., Berriatua, E., Braks, M., Marsboom, C., Medlock, J., Schaffner, F., Van Bortel, W., Alexander, N., Alten, B., Czwienczek, E., Dhollander, S., Ducheyne, E., Gossner, C. M., Hansford, K., Hendrickx, G., Honrubia, H., Matheussen, T., Mihalca, A. D., ... Bødker, R. (2023). VectorNet: collaborative mapping of arthropod disease vectors in Europe and surrounding areas since 2010. Eurosurveillance, 28(26-29), [2200666]. https://doi.org/10.2807/1560-7917.ES.2023.28.26.2200666

Vancouver

Wint GRW, Balenghien T, Berriatua E, Braks M, Marsboom C, Medlock J et al. VectorNet: collaborative mapping of arthropod disease vectors in Europe and surrounding areas since 2010. Eurosurveillance. 2023;28(26-29). 2200666. https://doi.org/10.2807/1560-7917.ES.2023.28.26.2200666

Author

Wint, G. R.William ; Balenghien, Thomas ; Berriatua, Eduardo ; Braks, Marieta ; Marsboom, Cedric ; Medlock, Jolyon ; Schaffner, Francis ; Van Bortel, Wim ; Alexander, Neil ; Alten, Bulent ; Czwienczek, Ewelina ; Dhollander, Sofie ; Ducheyne, Els ; Gossner, Celine M. ; Hansford, Kayleigh ; Hendrickx, Guy ; Honrubia, Hector ; Matheussen, Tom ; Mihalca, Andrei Daniel ; Petric, Dusan ; Richardson, Jane ; Sprong, Hein ; Versteirt, Veerle ; Briet, Olivier ; Bødker, René. / VectorNet : collaborative mapping of arthropod disease vectors in Europe and surrounding areas since 2010. In: Eurosurveillance. 2023 ; Vol. 28, No. 26-29.

Bibtex

@article{ff555b3f0a5647959d90ba911366f255,
title = "VectorNet: collaborative mapping of arthropod disease vectors in Europe and surrounding areas since 2010",
abstract = "Background: Arthropod vectors such as ticks, mosquitoes, sandflies and biting midges are of public and veterinary health significance because of the pathogens they can transmit. Understanding their distributions is a key means of assessing risk. VectorNet maps their distribution in the EU and surrounding areas. Aim: We aim to describe the methodology underlying VectorNet maps, encourage standardisation and evaluate output. Methods: Vector distribution and surveillance activity data have been collected since 2010 from a combination of literature searches, field-survey data by entomologist volunteers via a network facilitated for each participating country and expert validation. Data were collated by VectorNet members and extensively validated during data entry and mapping processes. Results: As of 2021, the VectorNet archive consisted of ca 475,000 records relating to> 330 species. Maps for 42 species are routinely produced online at subnational administrative unit resolution. On VectorNet maps, there are relatively few areas where surveillance has been recorded but there are no distribution data. Comparison with other continental databases, namely the Global Biodiversity Information Facility and VectorBase show that VectorNet has 5–10 times as many records overall, although three species are better represented in the other databases. In addition, VectorNet maps show where species are absent. VectorNet{\textquoteright}s impact as assessed by citations (ca 60 per year) and web statistics (58,000 views) is substantial and its maps are widely used as reference material by professionals and the public. Conclusion: VectorNet maps are the pre-eminent source of rigorously validated arthropod vector maps for Europe and its surrounding areas.",
author = "Wint, {G. R.William} and Thomas Balenghien and Eduardo Berriatua and Marieta Braks and Cedric Marsboom and Jolyon Medlock and Francis Schaffner and {Van Bortel}, Wim and Neil Alexander and Bulent Alten and Ewelina Czwienczek and Sofie Dhollander and Els Ducheyne and Gossner, {Celine M.} and Kayleigh Hansford and Guy Hendrickx and Hector Honrubia and Tom Matheussen and Mihalca, {Andrei Daniel} and Dusan Petric and Jane Richardson and Hein Sprong and Veerle Versteirt and Olivier Briet and Ren{\'e} B{\o}dker",
note = "Publisher Copyright: {\textcopyright} 2023 European Centre for Disease Prevention and Control (ECDC). All rights reserved.",
year = "2023",
doi = "10.2807/1560-7917.ES.2023.28.26.2200666",
language = "English",
volume = "28",
journal = "Eurosurveillance",
issn = "1025-496X",
publisher = "Centre Europeen pour la Surveillance Epidemiologique du SIDA",
number = "26-29",

}

RIS

TY - JOUR

T1 - VectorNet

T2 - collaborative mapping of arthropod disease vectors in Europe and surrounding areas since 2010

AU - Wint, G. R.William

AU - Balenghien, Thomas

AU - Berriatua, Eduardo

AU - Braks, Marieta

AU - Marsboom, Cedric

AU - Medlock, Jolyon

AU - Schaffner, Francis

AU - Van Bortel, Wim

AU - Alexander, Neil

AU - Alten, Bulent

AU - Czwienczek, Ewelina

AU - Dhollander, Sofie

AU - Ducheyne, Els

AU - Gossner, Celine M.

AU - Hansford, Kayleigh

AU - Hendrickx, Guy

AU - Honrubia, Hector

AU - Matheussen, Tom

AU - Mihalca, Andrei Daniel

AU - Petric, Dusan

AU - Richardson, Jane

AU - Sprong, Hein

AU - Versteirt, Veerle

AU - Briet, Olivier

A2 - Bødker, René

N1 - Publisher Copyright: © 2023 European Centre for Disease Prevention and Control (ECDC). All rights reserved.

PY - 2023

Y1 - 2023

N2 - Background: Arthropod vectors such as ticks, mosquitoes, sandflies and biting midges are of public and veterinary health significance because of the pathogens they can transmit. Understanding their distributions is a key means of assessing risk. VectorNet maps their distribution in the EU and surrounding areas. Aim: We aim to describe the methodology underlying VectorNet maps, encourage standardisation and evaluate output. Methods: Vector distribution and surveillance activity data have been collected since 2010 from a combination of literature searches, field-survey data by entomologist volunteers via a network facilitated for each participating country and expert validation. Data were collated by VectorNet members and extensively validated during data entry and mapping processes. Results: As of 2021, the VectorNet archive consisted of ca 475,000 records relating to> 330 species. Maps for 42 species are routinely produced online at subnational administrative unit resolution. On VectorNet maps, there are relatively few areas where surveillance has been recorded but there are no distribution data. Comparison with other continental databases, namely the Global Biodiversity Information Facility and VectorBase show that VectorNet has 5–10 times as many records overall, although three species are better represented in the other databases. In addition, VectorNet maps show where species are absent. VectorNet’s impact as assessed by citations (ca 60 per year) and web statistics (58,000 views) is substantial and its maps are widely used as reference material by professionals and the public. Conclusion: VectorNet maps are the pre-eminent source of rigorously validated arthropod vector maps for Europe and its surrounding areas.

AB - Background: Arthropod vectors such as ticks, mosquitoes, sandflies and biting midges are of public and veterinary health significance because of the pathogens they can transmit. Understanding their distributions is a key means of assessing risk. VectorNet maps their distribution in the EU and surrounding areas. Aim: We aim to describe the methodology underlying VectorNet maps, encourage standardisation and evaluate output. Methods: Vector distribution and surveillance activity data have been collected since 2010 from a combination of literature searches, field-survey data by entomologist volunteers via a network facilitated for each participating country and expert validation. Data were collated by VectorNet members and extensively validated during data entry and mapping processes. Results: As of 2021, the VectorNet archive consisted of ca 475,000 records relating to> 330 species. Maps for 42 species are routinely produced online at subnational administrative unit resolution. On VectorNet maps, there are relatively few areas where surveillance has been recorded but there are no distribution data. Comparison with other continental databases, namely the Global Biodiversity Information Facility and VectorBase show that VectorNet has 5–10 times as many records overall, although three species are better represented in the other databases. In addition, VectorNet maps show where species are absent. VectorNet’s impact as assessed by citations (ca 60 per year) and web statistics (58,000 views) is substantial and its maps are widely used as reference material by professionals and the public. Conclusion: VectorNet maps are the pre-eminent source of rigorously validated arthropod vector maps for Europe and its surrounding areas.

U2 - 10.2807/1560-7917.ES.2023.28.26.2200666

DO - 10.2807/1560-7917.ES.2023.28.26.2200666

M3 - Journal article

C2 - 37382886

AN - SCOPUS:85164230856

VL - 28

JO - Eurosurveillance

JF - Eurosurveillance

SN - 1025-496X

IS - 26-29

M1 - 2200666

ER -

ID: 369247445