TriatoDex, an electronic identification key to the Triatominae (Hemiptera: Reduviidae), vectors of Chagas disease: Development, description, and performance
Correct identification of triatomine bugs is crucial for Chagas disease surveillance, yet available taxonomic keys are outdated, incomplete, or both. Here we present TriatoDex, an Android app-based pictorial, annotated, polytomous key to the Triatominae. TriatoDex was developed using Android Studio...
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| Veröffentlicht in: | PloS one 2021-04, Vol.16 (4), p.e0248628-e0248628 |
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| creator | Gurgel-Gonçalves, Rodrigo Abad-Franch, Fernando de Almeida, Maxwell Ramos Obara, Marcos Takashi de Souza, Rita de Cássia Moreira Batista, Jainaine Abrantes de Sena Rocha, Douglas de Almeida |
| description | Correct identification of triatomine bugs is crucial for Chagas disease surveillance, yet available taxonomic keys are outdated, incomplete, or both. Here we present TriatoDex, an Android app-based pictorial, annotated, polytomous key to the Triatominae. TriatoDex was developed using Android Studio and tested by 27 Brazilian users. Each user received a box with pinned, number-labeled, adult triatomines (33 species in total) and was asked to identify each bug to the species level. We used generalized linear mixed models (with user- and species-ID random effects) and information-theoretic model evaluation/averaging to investigate TriatoDex performance. TriatoDex encompasses 79 questions and 554 images of the 150 triatomine-bug species described worldwide up to 2017. TriatoDex-based identification was correct in 78.9% of 824 tasks. TriatoDex performed better in the hands of trained taxonomists (93.3% vs. 72.7% correct identifications; model-averaged, adjusted odds ratio 5.96, 95% confidence interval [CI] 3.09-11.48). In contrast, user age, gender, primary job (including academic research/teaching or disease surveillance), workplace (including universities, a reference laboratory for triatomine-bug taxonomy, or disease-surveillance units), and basic training (from high school to biology) all had negligible effects on TriatoDex performance. Our analyses also suggest that, as TriatoDex results accrue to cover more taxa, they may help pinpoint triatomine-bug species that are consistently harder (than average) to identify. In a pilot comparison with a standard, printed key (370 tasks by seven users), TriatoDex performed similarly (84.5% correct assignments, CI 68.9-94.0%), but identification was 32.8% (CI 24.7-40.1%) faster on average-for a mean absolute saving of ~2.3 minutes per bug-identification task. TriatoDex holds much promise as a handy, flexible, and reliable tool for triatomine-bug identification; an updated iOS/Android version is under development. We expect that, with continuous refinement derived from evolving knowledge and user feedback, TriatoDex will substantially help strengthen both entomological surveillance and research on Chagas disease vectors. |
| doi_str_mv | 10.1371/journal.pone.0248628 |
| format | Article |
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Here we present TriatoDex, an Android app-based pictorial, annotated, polytomous key to the Triatominae. TriatoDex was developed using Android Studio and tested by 27 Brazilian users. Each user received a box with pinned, number-labeled, adult triatomines (33 species in total) and was asked to identify each bug to the species level. We used generalized linear mixed models (with user- and species-ID random effects) and information-theoretic model evaluation/averaging to investigate TriatoDex performance. TriatoDex encompasses 79 questions and 554 images of the 150 triatomine-bug species described worldwide up to 2017. TriatoDex-based identification was correct in 78.9% of 824 tasks. TriatoDex performed better in the hands of trained taxonomists (93.3% vs. 72.7% correct identifications; model-averaged, adjusted odds ratio 5.96, 95% confidence interval [CI] 3.09-11.48). In contrast, user age, gender, primary job (including academic research/teaching or disease surveillance), workplace (including universities, a reference laboratory for triatomine-bug taxonomy, or disease-surveillance units), and basic training (from high school to biology) all had negligible effects on TriatoDex performance. Our analyses also suggest that, as TriatoDex results accrue to cover more taxa, they may help pinpoint triatomine-bug species that are consistently harder (than average) to identify. In a pilot comparison with a standard, printed key (370 tasks by seven users), TriatoDex performed similarly (84.5% correct assignments, CI 68.9-94.0%), but identification was 32.8% (CI 24.7-40.1%) faster on average-for a mean absolute saving of ~2.3 minutes per bug-identification task. TriatoDex holds much promise as a handy, flexible, and reliable tool for triatomine-bug identification; an updated iOS/Android version is under development. We expect that, with continuous refinement derived from evolving knowledge and user feedback, TriatoDex will substantially help strengthen both entomological surveillance and research on Chagas disease vectors.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0248628</identifier><identifier>PMID: 33886550</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Abad, Fernando ; Archives & records ; Biology and Life Sciences ; Causes of ; Chagas disease ; Computer and Information Sciences ; Disease control ; Distribution records ; Ecology and Environmental Sciences ; Editing ; Electronic keys ; Empirical analysis ; Identification ; Identification keys ; Invasive species ; Laboratories ; Medicine and Health Sciences ; Methodology ; Morphology ; Native species ; New records ; New taxa ; Parasites ; People and Places ; Protozoa ; Research and Analysis Methods ; Reviews ; Smartphones ; Surveillance ; Taxonomy ; Tropical diseases ; Vector-borne diseases ; Vectors ; World Wide Web</subject><ispartof>PloS one, 2021-04, Vol.16 (4), p.e0248628-e0248628</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Gurgel-Gonçalves et al. 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electronic identification key to the Triatominae (Hemiptera: Reduviidae), vectors of Chagas disease: Development, description, and performance</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-04-22</date><risdate>2021</risdate><volume>16</volume><issue>4</issue><spage>e0248628</spage><epage>e0248628</epage><pages>e0248628-e0248628</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Correct identification of triatomine bugs is crucial for Chagas disease surveillance, yet available taxonomic keys are outdated, incomplete, or both. Here we present TriatoDex, an Android app-based pictorial, annotated, polytomous key to the Triatominae. TriatoDex was developed using Android Studio and tested by 27 Brazilian users. Each user received a box with pinned, number-labeled, adult triatomines (33 species in total) and was asked to identify each bug to the species level. We used generalized linear mixed models (with user- and species-ID random effects) and information-theoretic model evaluation/averaging to investigate TriatoDex performance. TriatoDex encompasses 79 questions and 554 images of the 150 triatomine-bug species described worldwide up to 2017. TriatoDex-based identification was correct in 78.9% of 824 tasks. TriatoDex performed better in the hands of trained taxonomists (93.3% vs. 72.7% correct identifications; model-averaged, adjusted odds ratio 5.96, 95% confidence interval [CI] 3.09-11.48). In contrast, user age, gender, primary job (including academic research/teaching or disease surveillance), workplace (including universities, a reference laboratory for triatomine-bug taxonomy, or disease-surveillance units), and basic training (from high school to biology) all had negligible effects on TriatoDex performance. Our analyses also suggest that, as TriatoDex results accrue to cover more taxa, they may help pinpoint triatomine-bug species that are consistently harder (than average) to identify. In a pilot comparison with a standard, printed key (370 tasks by seven users), TriatoDex performed similarly (84.5% correct assignments, CI 68.9-94.0%), but identification was 32.8% (CI 24.7-40.1%) faster on average-for a mean absolute saving of ~2.3 minutes per bug-identification task. TriatoDex holds much promise as a handy, flexible, and reliable tool for triatomine-bug identification; an updated iOS/Android version is under development. We expect that, with continuous refinement derived from evolving knowledge and user feedback, TriatoDex will substantially help strengthen both entomological surveillance and research on Chagas disease vectors.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33886550</pmid><doi>10.1371/journal.pone.0248628</doi><orcidid>https://orcid.org/0000-0001-8252-8690</orcidid><oa>free_for_read</oa></addata></record> |
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| language | eng |
| recordid | cdi_plos_journals_2516826524 |
| source | DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Abad, Fernando Archives & records Biology and Life Sciences Causes of Chagas disease Computer and Information Sciences Disease control Distribution records Ecology and Environmental Sciences Editing Electronic keys Empirical analysis Identification Identification keys Invasive species Laboratories Medicine and Health Sciences Methodology Morphology Native species New records New taxa Parasites People and Places Protozoa Research and Analysis Methods Reviews Smartphones Surveillance Taxonomy Tropical diseases Vector-borne diseases Vectors World Wide Web |
| title | TriatoDex, an electronic identification key to the Triatominae (Hemiptera: Reduviidae), vectors of Chagas disease: Development, description, and performance |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T21%3A02%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=TriatoDex,%20an%20electronic%20identification%20key%20to%20the%20Triatominae%20(Hemiptera:%20Reduviidae),%20vectors%20of%20Chagas%20disease:%20Development,%20description,%20and%20performance&rft.jtitle=PloS%20one&rft.au=Gurgel-Gon%C3%A7alves,%20Rodrigo&rft.date=2021-04-22&rft.volume=16&rft.issue=4&rft.spage=e0248628&rft.epage=e0248628&rft.pages=e0248628-e0248628&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0248628&rft_dat=%3Cgale_plos_%3EA659342805%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2516826524&rft_id=info:pmid/33886550&rft_galeid=A659342805&rft_doaj_id=oai_doaj_org_article_2f3b2dc6a78f4ef78e2831f30c457754&rfr_iscdi=true |